Volume-12, Issue-3, March 2026

Abstract

Mushrooms are a rich source of proteins and contain all essential amino acids. Eating mushrooms not only provides essential nutrients but also combats many diseases like cancer and diabetes. Oyster mushrooms are popular edible mushroom species which grow easily on paddy straw, wheat straw, paper waste, etc. The present paper discusses a very economical and eco-friendly method of growing mushrooms in urban areas like kitchen gardens and balconies. In the present protocol, no chemicals were used and steam sterilization was done to maintain aseptic conditions. The procedure to grow oyster mushrooms is affordable, and it is relatively easy to start a small-scale entrepreneurship business from home. Using this protocol, the first harvest was obtained within 25-30 days, and mushrooms were found fit for human consumption

Keywords: Oyster mushroom, Pleurotus ostreatus, urban farming, sustainable agriculture, food security

References

[1] Aida, F. M. N. A., Shuhaimi, M., Yazid, M., & Maaruf, A. G. (2009). Mushroom as a potential source of prebiotics: A review. Trends in Food Science & Technology, 20(11–12), 567–575.

[2] Ayimbila, F., & Keawsompong, S. (2023). Nutritional quality and biological application of mushroom protein as a novel protein alternative. Current Nutrition Reports, 12(2), 290–307. https://doi.org/10.1007/s13668-023-00468-x
[3] Bach, F., Helm, C. V., Bellettini, M. B., Maciel, G. M., & Haminiuk, C. W. I. (2017). Edible mushrooms: A potential source of essential amino acids, glucans and minerals. International Journal of Food Science & Technology, 52(11), 2382–2392. https://doi.org/10.1111/ijfs.13522
[4] Burlingame, B., & Dernini, S. (Eds.). (2012). Sustainable diets and biodiversity: Directions and solutions for policy, research and action. Food and Agriculture Organization of the United Nations.
[5] Chand, S., & Singh, B. (2022). Mushroom cultivation for increasing income and sustainable development of small and marginal farmers. Asian Journal of Agricultural and Horticultural Research, 9(4), 11–16.
[6] Sharma, K. (2015). Mushroom: Cultivation and processing. International Journal of Food Processing Technology, 2(1), 9–12.
[7] Kurtzman, R. H., Jr. (1976). Nutrition of Pleurotus sapidus: Effects of lipids. Mycologia, 68(2), 268–295.
[8] Liu, P., Zhang, Z., Wu, D., Li, W., Chen, W., & Yang, Y. (2025). The prospect of mushroom as an alternative protein: From acquisition routes to nutritional quality, biological activity, application and beyond. Food Chemistry, 469, Article 142600. https://doi.org/10.1016/j.foodchem.2024.142600
[9] Sahoo, A. K., Sah, S., & Bhunia, S. (2021). An overview and comparative study on cultivation of oyster mushroom on different substrates: A sustainable approach of rural development. International Journal of Plant Pathology and Microbiology, 1(2), 05–18.
[10] Pashaei, K. H. A., Irankhah, K., & Namkhah, Z. (2024). Edible mushrooms as an alternative to animal proteins for having a more sustainable diet: A review. Journal of Health, Population and Nutrition, 43, Article 205. https://doi.org/10.1186/s41043-024-00701-5
[11] Priyadarshini, D. V. S., & Kumar, G. R. (2020). A prospective observational study on effects of acute myocardial infarction on cholesterol and cholesterol ratios—At a tertiary care centre. International Journal of Advanced Biochemistry Research, 4(1), 01–05. https://doi.org/10.33545/26174693.2020.v4.i1a.39
[12] Rosli, W. I. W., Maihiza, M. S. N., & Raushan, M. (2015). The ability of oyster mushroom in improving nutritional composition, βglucan and textural properties of chicken frankfurter. International Food Research Journal, 22(1), 311–317.
[13] Ruthes, A. C., Smiderle, F. R., & Iacomini, M. (2015). D-Glucans from edible mushrooms: A review on the extraction, purification and chemical characterization approaches. Carbohydrate Polymers, 117, 753–761.

Abstract

Thirty-two pole-type French bean genotypes were evaluated in a randomized block design with two replications during Rabi 2022–23 at the Regional Agricultural Research Station, Vijayapura, University of Agricultural Sciences, Dharwad, Karnataka, India. High genotypic and phenotypic coefficients of variation (GCV and PCV >20%) were recorded for protein content and reducing sugar content in pods, indicating substantial genetic variability with minimal environmental influence and good scope for improvement through direct selection. Moderate GCV and PCV (10–20%) for non-reducing sugar content in pods suggested the involvement of both additive and non-additive gene effects, reflecting adequate variability and the usefulness of phenotypic selection. High heritability (>60%) coupled with high genetic advance as per cent of mean (>20%) was observed for protein, reducing sugar, and non-reducing sugar contents in pods, indicating predominance of additive gene action. Therefore, direct selection would be effective for improving these traits. Evaluation of qualitative pod traits revealed significant variation for pod colour, shape, curvature, stringlessness, beak position, and beak orientation among genotypes. Genotypes IC-632961 and IIHR-01 were identified as superior based on round, stringless pods with attractive medium green colour, making them desirable for both consumer preference and commercial cultivation.

Keywords: GAM, Heritability, GCV, PCV, Reducing sugar, Protein, Pole type French bean.

References

[1] Abate, G. (2006). The market for fresh snap beans (Working paper). The Strategic Marketing Institute, Ethiopia. pp. 6–8.
[2] Anonymous. (2022). Improved cultivation practices of horticulture crops (Kannada). University of Horticultural Sciences, Bagalkot.pp. 90–92.
[3] Duke, J. A. (1981). Handbook of world economic importance. USDA.
[4] George, R. A. T. (1985). Vegetable seed production. Longman. pp. 193–207.

[5] Gopalakrishnan, T. R. (2007). Vegetable crops (Vol. 4, pp. 161–168). [Publisher information missing].
[6] Jhanavi, D. R., Patil, H. B., Justin, P., Hadimani, H. P., Mulla, S. W. R., & Sarvamangala, C. (2018). Genetic variability, heritability and genetic advance studies in French bean (Phaseolus vulgaris L.) genotypes. Indian Journal of Agricultural Research, 52(2), 162–166.
[7] Lad, D. B., Longmei, N., & Borle, U. M. (2017). Studies on genetic variability, association of characters and path analysis in French bean (Phaseolus vulgaris L.). International Journal of Pure and Applied Bioscience, 5(6), 1065–1069.
[8] Lowry, O. H., Rosebrough, N. J., Farr, A. L., & Randall, R. J. (1951). Protein measurement with the Folin phenol reagent. Journal of Biological Chemistry, 193(1), 265–275.
[9] Prabhakar, B. S., Naik, L. B., Mohan, N., & Varalaxmi, B. (2016). Vegetables, tuber crops and spices. Indian Council of Agricultural Research. pp. 201–206.
[10] Prakash, J., & Ram, R. B. (2014). Genetic variability, correlation and path analysis for seed yield and yield related traits in French bean (Phaseolus vulgaris L.) under Lucknow conditions. International Journal of Innovative Science, Engineering and Technology,1(6), 41–50.
[11] Razvi, S. M., Khan, M. N., Bhat, M. A., Ahmad, M., Ganaie, S. A., Sheikh, F. A., Najeeb, S., & Parry, F. A. (2018). Morphological variability and phylogenetic analysis in common bean (Phaseolus vulgaris L.). Legume Research, 41(2), 208–212.
[12] Singh, S. P. (1999). Improvement of small-seeded race Mesoamerican cultivars. In S. P. Singh (Ed.), Common bean improvement in the twenty-first century (pp. 225–241). [Publisher information missing].
[13] Singh, Y. P., Lalramhlimi, B., Singh, P. R., Dutta, T., & Chattopadhyay, S. B. (2020). Studies on genetic variability components and character association of French bean (Phaseolus vulgaris L.) for growth, yield and quality attributes under the gangetic alluvial plains of West Bengal. International Journal of Chemical Studies, 8(3), 856–861.
[14] Tanuja, Rana, D. K., & Rathi, D. S. (2021). Assessment of genetic variability components in French bean (Phaseolus vulgaris L.) under valley condition of Garhwal hills. International Journal of Current Microbiology and Applied Sciences, 10(3), 40–44.
[15] Thimmaiah, S. K. (1999). Standard methods of biochemical analysis. Kalyani Publishers. pp. 50–55.
[16] Vavilov, N. I. (1950). The origin, variation, immunity and breeding of cultivated plants. Chronica Botanica, 13, 1–364.

Abstract

The research investigated the genetic diversity and genetic neutrality of cattle populations in Taraba State, Nigeria. The study analyzed 100 reference populations, and 28 blood samples were used for mitochondrial DNA sequencing using Flinders Technology Associates (FTA) paper, which covered five locations (Iware, Wukari, Donga, Gembu, and Jalingo) and five breeds (Bokoloji, Muturu, Red Bororo, White Fulani, Adamawa Gudali). The research utilized Tajima's Neutrality Test, Tajima's Relative Rate Clock Test, and phylogenetic analysis to determine patterns of molecular evolution and population structure. The analysis of location-based neutrality showed that all populations tested positive for Tajima's D, with Iware recording 2.73 D value, Wukari showing 3.33 D value, Donga presenting 1.99 D value, and Gembu achieving 4.04 D value. The nucleotide diversity (π) measured between 0.5759 in Donga and 0.6781 in Gembu, indicating moderate to high genetic variability, whereas Wukari and Gembu displayed the most segregating sites with S = 778 and 779. The findings demonstrate evolution that deviates from neutral patterns due to three factors: balancing selection, population subdivision, and historical demographic patterns. The breed-based analysis produced positive Tajima's D results, reaching peak values in White Fulani (D = 4.49) and Red Bororo (D = 4.05), with both breeds showing high nucleotide diversity (π = 0.6535 and 0.6989, respectively). The Bokoloji (D = 1.25) and Muturu (D = 1.00) results showed reduced polymorphism levels, with S = 562 and 512. The Tajima's Clock Test results showed that evolutionary rates differed significantly between study locations. Iware showed the highest number of identical sites (202) and very few divergent sites (6), but a pronounced imbalance in unique substitutions, specially in sequence A (536). Wukari, Donga, and Gembu showed more divergent sites, with their total counts reaching 244, 229, and 193 respectively, while their unique differences among sequences appeared to be distributed more evenly, which proved the molecular clock predictions to be less accurate. The analysis of phylogenetic relationships demonstrated that different breeds of cattle from different regions showed shared ancestry together with genetic mixing from different populations. The research results demonstrate that Taraba State cattle populations possess high genetic diversity together with non-neutral evolutionary patterns and different rates of evolutionary change, which affect both conservation efforts and breeding programmes

Keywords: Genetic diversity, Tajima's neutrality test, Cattle breeds, Phylogenetic analysis.

References

[1] Álvarez-Carretero, S., Kapli, P., & Yang, Z. (2022). Beginner's guide on the use of PAML to detect positive selection. Molecular Biology and Evolution, 39(4), msac041. https://doi.org/10.1093/molbev/msac041
[2] Bahbahani, H., Tijjani, A., Mukasa, C., Wragg, D., Almathen, F., Nash, O., Akpa, G. N., Mbole-Kariuki, M., Malla, S., Woolhouse, M., Sonstegard, T., van Marle-Kӧster, E., Sijjani, A., Kemp, S. J., & Hanotte, O. (2021). Signatures of selection for environmental adaptation and zebu × taurine hybrid fitness in East African Shorthorn Zebu. Frontiers in Genetics, 12, Article 607126.
[3] Barbato, M., Orozco-terWengel, P., Tapio, M., Marzanov, N. S., Aloqaili, F., Rezaei, H. R., Goncharenko, G., & Bruford, M. W.(2022). Genomic signatures of adaptive introgression from European mouflon into domestic sheep. Scientific Reports, 12(1), Article 15896.
[4] Cadzow, M., Merriman, T. R., & Boocock, J. (2022). Population genomic analysis of Māori and Pacific populations reveals an excess of intermediate-frequency variants. Human Genomics, 16(1), 1–12.
[5] Charlesworth, B. (2020). How long does it take to fix a favorable mutation, and why should we care? The American Naturalist,195(5), 753–771. https://doi.org/10.1086/708187
[6] Eldenegker, D. W., Tijjani, A., Edea, Z., Dessie, T., Haile, A., Rischkowsky, B., Rothschild, M. F., & Mwacharo, J. M. (2024).
Population genomics reveals adaptation and speciation in African cattle. Molecular Ecology, 33(3), e17235. https://doi.org/10.1111/mec.17235
[7] Elka, M. G., & Schenkel, F. S. (2021). Current state of genomic evaluation. Journal of Applied Genetics, 62(3), 329–338. https://doi.org/10.1007/s13353-021-00619-x
[8] Ginja, C., Guimarães, S., Fonseca, R. R., Rasteiro, R., Rodríguez-Varela, R., Simões, L. G., Pimenta, J., Matos, J., Ozawa, T., Götherström, A., & Penedo, M. C. T. (2023). The genetic legacy of the expansion of Bantu-speaking peoples in Africa. Nature Communications, 14(1), Article 4874.
[9] Gobena, M., Tijjani, A., Weldenegker, D. W., Edea, Z., Dessie, T., Haile, A., Rischkowsky, B., Rothschild, M. F., & Mwacharo, J. M. (2024). Genome-wide analysis reveals demographic history and contemporary selection signatures in African indigenous cattle. BMC Genomics, 25(1), Article 118.
[10] Iielsen, R. (2021). Estimation of population parameters and recombination rates from single nucleotide polymorphisms. Genetics,217(3), iyaa033. https://doi.org/10.1093/genetics/iyaa033
[11] Ijjani, A., Utsunomiya, Y. T., Ezekwe, A. G., Nashiru, O., & Hanotte, O. (2021). Genome sequence analysis reveals selection signatures in endangered trypanotolerant West African Muturu cattle. Frontiers in Genetics, 12, Article 644956. https://doi.org/10.3389/fgene.2021.644956
[12] Kardos, M., Armstrong, E. E., Fitzpatrick, S. W., Hauser, S., Hedrick, P. W., Miller, J. M., Tallmon, D. A., & Funk, W. C. (2021). The crucial role of genome-wide genetic variation in conservation. Proceedings of the National Academy of Sciences, 118(48), e2104642118.
[13] Kim, J., Hanotte, O., Mwai, O. A., Dessie, T., Bashir, S., Diallo, B., Agaba, M., Kim, K., Kwak, W., Sung, S., Seo, M., Jeong, H., Kwon, T., Mbole-Kariuki, M. N., Sonstegard, T., Tarekegn, G. M., Tijjani, A., Lim, D., Cho, S., & Kim, H. (2020). The genome landscape of indigenous African cattle. Genome Biology, 21(1), 1–21.
[14] Kim, K., Kwon, T., Dessie, T., Yoo, D., Mwai, O. A., Jang, J., Sung, S., Lee, S. B., Salim, B., Jung, J., Jeong, H., Tarekegn, G. M.,Tijjani, A., Lim, D., Cho, S., Oh, S. J., Lee, H. K., Kim, J., Jeong, C., & Kim, H. (2023). The mosaic genome of indigenous African cattle as a unique genetic resource for African pastoralism. Nature Genetics, 55, 1099–1110.
[15] Lartillot, N., & Poujol, R. (2024). Phylogenetic models of amino acid and codon substitution. Annual Review of Ecology, Evolution, and Systematics, 55, 23–44. https://doi.org/10.1146/annurev-ecolsys-102722-020508
[16] Makina, S. O., Muchadeyi, F. C., van Marle-Köster, E., Taylor, J. F., Makgahlela, M. L., & Maiwashe, A. (2020). Genome-wide scan for selection signatures in six cattle breeds in South Africa. Genetics Selection Evolution, 52(1), 1–14.
[17] Mbole-Kariuki, M. N., Sonstegard, T., Orth, A., Thumbi, S. M., Bronsvoort, B. M., Kiara, H., Toye, P., Conradie, I., Jennings, A., Coetzer, K., Woolhouse, M. E., Hanotte, O., & Taberlet, P. (2020). Genome-wide analysis reveals the ancient and recent admixture history of East African Shorthorn Zebu from Western Kenya. Heredity, 125(5), 334–347.
[18] Melka, M. G., & Schenkel, F. S. (2021). Current state of genomic evaluation. Journal of Applied Genetics, 62(3), 329–338.
[19] Nielsen, R. (2021). Estimation of population parameters and recombination rates from single nucleotide polymorphisms. Genetics, 217(3), 1–15.
[20] Nielsen, R., Akey, J. M., Jakobsson, M., Pritchard, J. K., Tishkoff, S., & Willerslev, E. (2020). Tracing the peopling of the world through genomics. Nature, 577(7789), 190–198.
[21] Orto-Neto, L. R., Bickhart, D. M., Landaeta-Hernandez, A. J., Tizioto, P. C., Wickramasinghe, S., Vercesi Filho, A. E., Reverter, A., & Moore, S. S. (2022). Convergent evolution of slick coat in cattle through truncation mutations in the prolactin receptor. Frontiers in Genetics, 13, Article 843368. https://doi.org/10.3389/fgene.2022.843368
[22] Porto-Neto, L. R., Bickhart, D. M., Landaeta-Hernandez, A. J., Tizioto, P. C., Wickramasinghe, S., Vercesi Filho, A. E., Reverter, A., & Moore, S. S. (2022). Convergent evolution of slick coat in cattle through truncation mutations in the prolactin receptor. Frontiers in Genetics, 13, Article 843368.
[23] Smetko, A., Soudre, A., Silbermayr, K., Müller, S., Brem, G., Hanotte, O., Wurzinger, M., Solkner, J., & Curik, I. (2021). Trypanosomosis: Potential driver of selection in African cattle. Frontiers in Genetics, 12, Article 632606.
[24] Stecher, G., Tamura, K., & Kumar, S. (2020). Molecular Evolutionary Genetics Analysis (MEGA) for macOS. Molecular Biology and Evolution, 37(4), 1237–1239. https://doi.org/10.1093/molbev/msz312
[25] Tamuri, A. U., Reis, M. D., & Goldstein, R. A. (2021). Estimating the distribution of selection coefficients from phylogenetic data using sitewise mutation-selection models. Genetics, 217(3), iyaa030. https://doi.org/10.1093/genetics/iyaa030
[26] Tijjani, A., Utsunomiya, Y. T., Ezekwe, A. G., Nashiru, O., & Hanotte, O. (2021). Genome sequence analysis reveals selection signatures in endangered trypanotolerant West African Muturu cattle. Frontiers in Genetics, 12, Article 644956.
[27] Umar, S., & Hedges, S. B. (2021). Advances in time estimation methods for molecular data. Molecular Biology and Evolution, 38(12), 5138–5145. https://doi.org/10.1093/molbev/msab302
[28] Umar, S., Stecher, G., Li, M., Knyaz, C., Tamura, K., & Mega, X. (2022). Molecular evolutionary genetics analysis across computing platforms. Molecular Biology and Evolution, 39(6), msac096. https://doi.org/10.1093/molbev/msac096
[29] Upadhyay, M., Bortoluzzi, C., Barbato, M., Ajmone-Marsan, P., Colli, L., Ginja, C., Sonstegard, T. S., Bosse, M., Lenstra, J. A., Groenen, M. A. M., & Crooijmans, R. P. M. A. (2021). Deciphering the patterns of genetic admixture and diversity in southern European cattle using genome-wide SNPs. Evolutionary Applications, 14(6), 1543–1558.
[30] Weldenegker, D. W., Tijjani, A., Edea, Z., Dessie, T., Haile, A., Rischkowsky, B., Rothschild, M. F., & Mwacharo, J. M. (2024). Population genomics reveals adaptation and speciation in African cattle. Molecular Ecology, 33(3), e17235.
[31] Zhou, Y., Utsunomiya, Y. T., Xu, L., Hay, E. H. A., Bickhart, D. M., Alexandre, P. A., Rosen, B. D., Schroeder, S. G., Carvalheiro, R., de Rezende Neves, H. H., Sonstegard, T. S., Van Tassell, C. P., Ferraz, J. B. S., Reecy, J. M., Ma, L., Garcia, J. F., & Liu, G. E. (2023). Genome-wide CNV analysis reveals variants associated with growth traits in Bos indicus. BMC Genomics, 24(1), Article136. https://doi.org/10.1186/s12864-023-09259-8.

Abstract

Salinity is a critical abiotic constraint to maize (Zea mays L.) production, affecting growth, photosynthesis and oxidative balance. This study examined the responses of five cultivars (DHM 144, NK 7720, SY 594, Sunny NMH 777 and Dragon NMH 1247) to 150 mM NaCl stress. Measurements at 0, 7 and 14 days after stress initiation included plant height, leaf area, chlorophyll content, stomatal conductance, antioxidant enzyme activities [superoxide dismutase (SOD), catalase (CAT), peroxidase (POD)], proline accumulation and malondialdehyde (MDA) levels. Salinity reduced morphological and physiological traits across genotypes, with Dragon NMH 1247 maintaining higher growth, chlorophyll content and stomatal conductance, coupled with enhanced SOD, CAT and POD activities and lower MDA accumulation. All cultivars had a higher proline content which was not always correlated with stress tolerance. Findings show that antioxidant capacity, chlorophyll retention and low oxidative damage are some of the main factors that determine salinity tolerance in maize. Dragon NMH 1247 emerged as the most tolerant genotype and is an attractive target for saline-prone environments and breeding programs.

Keywords: Maize, salt stress, proline, antioxidant enzymes.

References

[1] Aebi, H. (1984). Catalase in vitro. Methods in Enzymology, 105, 121–126.
[2] Akhtar, K., Ain, N. U., Prasad, P. V., Naz, M., Aslam, M. M., Djalovic, I., & Wen, R. (2024). Physiological, molecular and environmental insights into plant nitrogen uptake and metabolism under abiotic stresses. The Plant Genome, 17(2), Article e20461.
[3] Ali, Q., Sami, A., Haider, M. Z., Ashfaq, M., & Javed, M. A. (2024). Antioxidant production promotes defense mechanism and different gene expression level in Zea mays under abiotic stress. Scientific Reports, 14(1), Article 7114.
[4] Apel, K., & Hirt, H. (2004). Reactive oxygen species: Metabolism, oxidative stress and signal transduction. Annual Review of Plant Biology, 55, 373–399.
[5] Ashraf, M., & Harris, P. J. C. (2004). Potential biochemical indicators of salinity tolerance in plants. Plant Science, 166(1), 3–16.
[6] Bates, L. S., Waldren, R. P., & Teare, I. D. (1973). Rapid determination of free proline for water-stress studies. Plant and Soil, 39(1),205–207.
[7] Beauchamp, C., & Fridovich, I. (1971). Superoxide dismutase: Improved assays and an assay applicable to acrylamide gels. Analytical Biochemistry, 44(1), 276–287.
[8] Beauclaire, Q., Vanden Brande, F., & Longdoz, B. (2024). Key role played by mesophyll conductance in limiting carbon assimilation and transpiration of potato under soil water stress. Frontiers in Plant Science, 15, Article 1500624.
[9] Cairns, J. E., Hellin, J., Sonder, K., Araus, J. L., MacRobert, J. F., Thierfelder, C., & Prasanna, B. M. (2013). Adapting maize production to climate change in sub-Saharan Africa. Food Security, 5(3), 345–360.
[10] Chance, B., & Maehly, A. C. (1955). Assay of catalases and peroxidases. Methods in Enzymology, 2, 764–775.
[11] CIMMYT. (2019). Maize production and improvement. International Maize and Wheat Improvement Center.
[12] Duvick, D. N. (2005). The contribution of breeding to yield advances in maize (Zea mays L.). Advances in Agronomy, 86, 83–145.
[13] FAO. (2020). The state of food security and nutrition in the world 2020. Food and Agriculture Organization of the United Nations.
[14] Farooq, M., Wahid, A., Kobayashi, N., Fujita, D., & Basra, S. M. A. (2009). Plant drought stress: Effects, mechanisms and management. Agronomy for Sustainable Development, 29, 185–212.
[15] Heath, R. L., & Packer, L. (1968). Photoperoxidation in isolated chloroplasts: I. Kinetics and stoichiometry of fatty acid peroxidation. Archives of Biochemistry and Biophysics, 125(1), 189–198.
[16] Hussain, H. A., Men, S., Hussain, S., Chen, Y., Ali, S., Zhang, S., & Wang, L. (2018). Maize tolerance against drought and chilling stresses varied with root morphology and antioxidative defense system. Plants, 7(2), Article 30.
[17] Ibrahim, A. E. A., Abd El Mageed, T., Abohamid, Y., Abdallah, H., El-Saadony, M., AbuQamar, S., & Abdou, N. (2022). Exogenously applied proline enhances morph-physiological responses and yield of drought-stressed maize plants grown under different irrigation systems. Frontiers in Plant Science, 13, Article 897027.
[18] Liao, Q., Gu, S., Kang, S., Du, T., Tong, L., Wood, J. D., & Ding, R. (2022). Mild water and salt stress improve water use efficiency by decreasing stomatal conductance via osmotic adjustment in field maize. Science of the Total Environment, 805, Article 150364.
[19] Mittler, R. (2002). Oxidative stress, antioxidants and stress tolerance. Trends in Plant Science, 7(9), 405–410.
[20] Moharramnejad, S., Sofalian, O., Valizadeh, M., Asghari, A., Shiri, M., & Ashraf, M. (2019). Response of maize to field drought stress: Oxidative defense system, osmolytes' accumulation and photosynthetic pigments. Pakistan Journal of Botany, 51(3), 799–807.
[21] Munavvar, N., Ali, A., Nigora, K., Karomat, K., & Sanjar, N. (2025). Effect of exogenous hydrogen peroxide on biochemical parameters of cotton cultivars exposed to high temperature. Plant Science Today.
[22] Munns, R., & Tester, M. (2008). Mechanisms of salinity tolerance. Annual Review of Plant Biology, 59, 651–681.
[23] Romdhane, L., Radhouane, L., Farooq, M., Dal Cortivo, C., Panozzo, A., & Vamerali, T. (2020). Morphological and biochemical changes in maize under drought and salinity stresses in a semi-arid environment. Plant Biosystems, 154(3), 396–404.
[24] Shahimoghadam, M., Asghari, A., Moharramnejad, S., Dehghanian, Z., Singh, S. K., Sivalingam, K. M., & Marisennayya, S. (2024). Variation in oxidative defense system and physiological traits in maize under drought stress. Plant Science Today, 11(2).
[25] Shehu, Z., Ayuba, S. A., Bello, Z. H., Abubakar, M., & Shehu, A. (2023). Comparative studies on the effect of salinity and drought stress on enzymatic antioxidant defense system of two maize (Zea mays L.) varieties. Caliphate Journal of Science and Technology, 5(2), 140–147.
[26] Szabados, L., & Savouré, A. (2010). Proline: A multifunctional amino acid. Trends in Plant Science, 15(2), 89–97.
[27] Tang, R., Gasvoda, K. L., Rabin, J., & Alsberg, E. (2023). Protein conformation stabilized by newly formed turns for thermal resilience. Biophysical Journal, 122(1), 82–89.
[28] Yan, S., Weng, B., Jing, L., & Bi, W. (2023). Effects of drought stress on water content and biomass distribution in summer maize (Zea mays L.). Frontiers in Plant Science, 14, Article 1118131.
[29] Zhang, J., Jia, W., Yang, J., & Ismail, A. M. (2006). Role of ABA in integrating plant responses to drought and salt stresses. Field Crops Research, 97(1), 111–119.

Abstract

This study evaluated the effects of reduced crude protein (CP) diets supplemented with amino acids on the growth performance and profitability of Hubbard colored broilers. Three isocaloric finisher rations were formulated with 19%, 17%, and 15% CP, with the CP-reduced diets supplemented with methionine, lysine, threonine, and tryptophan. A total of 120 broilers were randomly assigned to these three treatments with four replicates each. Results showed significant differences (p<0.05) in final weight, total weight gain, and average daily gain. Broilers fed reduced CP diets (17% and 15%) exhibited superior growth performance compared to those on the 19% CP control. Furthermore, reduced CP treatments significantly decreased the incidence of footpad dermatitis and increased net profit and return on investment. These findings suggest that lowering CP levels with amino acid supplementation offers a cost-effective and environmentally sustainable strategy for broiler production.

Keywords: Crude Protein, Amino Acids, Hubbard Broilers, Growth Performance, Footpad Dermatitis, Economics.

References

1. Acosta, A. (2022, December 12). Update of the Philippine broiler industry. Veterinaria Digital. Retrieved May 24, 2024, from https://www.veterinariadigital.com/en/articulos/update-of-the-philippine-broiler-industry/
2. Nahm, K. H. (2003). Evaluation of the nitrogen content in poultry manure. World's Poultry Science Journal, 59(1), 77–88.
3. Poultry World. (2019). More performance with reduced protein. Retrieved July 6, 2024, from https://www.poultryworld.net/health-nutrition/nutrition/more-performance-with-reduced-protein/
4. Fiola, N. (2008). Meeting the demand: An estimation of potential future greenhouse gas emissions from meat production. Ecological Economics, 67(3), 412–419.
5. Chrystal, P. V., Moss, A. F., Khodammi, A., Naranjo, V. D., Selle, P. H., & Liu, S. Y. (2020). Effects of crude-protein levels, dietary electrolyte balance, and energy density on the performance of broiler chickens offered maize-based diets with evaluations of starch, protein, and amino acid metabolism. Poultry Science, 99(3), 1421–1431.
6. Meda, B., Hassouna, M., Aubert, C., Robin, P., & Dourmad, J. Y. (2011). Influence of rearing conditions and manure management practices on ammonia and greenhouse gas emissions from poultry houses. World's Poultry Science Journal, 67(3), 441–456.
7. Applegate, T. J. (2008). Protein and amino acid requirements for poultry. Retrieved July 6, 2024, from https://s3.wp.wsu.edu/uploads/sites/346/2014/11/Protein-and-amino-acid-for-poultry-final.pdf
8. Pesti, G. M. (2009). Impact of dietary amino acid and crude protein levels in broiler feeds on biological performance. Journal of Applied Poultry Research, 18(3), 477–486.
9. Ferguson, N. S., Gates, R. S., Taraba, J. L., Cantor, A. H., Pescatore, A. J., Ford, M. J., & Burnham, D. J. (1998). The effect of dietary crude protein on growth, ammonia concentration, and litter composition in broilers. Poultry Science, 77(10), 1481–1487.
10. Son, J., Lee, W., Kim, C., Kim, H., Hong, E., & Kim, H. (2024). Effect of dietary crude protein reduction levels on performance, nutrient digestibility, nitrogen utilization, blood parameters, meat quality, and welfare index of broilers in welfare-friendly environments. Animals, 14(21), Article 3106.
11. WINMIX SOFT. (2014). Hubbard broiler management guide. Retrieved July 9, 2024, from https://www.winmixsoft.com/en/blog/item/hubbard-eng
12. Hubbard. (2023). Broiler performance guide: JA787. Retrieved November 16, 2025, from https://www.pouletanglais.co.uk/wp-content/uploads/go-x/u/2d422738-a2f0-40ae-9e44-91c4b54a480f/Broiler_Leaflet_PREMIUM-JA787_EN_20230802.pdf
13. Sterling, K. G., Vedenov, D. V., Pesti, G. M., & Bakalli, R. I. (2005). Economically optimal dietary crude protein and lysine levels for starting broiler chicks. Poultry Science, 84(1), 29–36.
14. Kidd, M. T., McDaniel, C. D., Branton, S. L., Miller, E. R., Boren, B. B., & Fancher, B. I. (2004). Increasing amino acid density improves live performance and carcass yields of commercial broilers. Journal of Applied Poultry Research, 13(4), 593–604.
15. Van Harn, J., Dijkslag, M. A., & Van Krimpen, M. M. (2019). Effect of low protein diets supplemented with free amino acids on growth performance, slaughter yield, litter quality, and footpad lesions of male broilers. Poultry Science, 98(10), 4868–4877.
16. Belloir, P., Méda, B., Lambert, W., Corrent, E., Juin, H., Lessire, M., & Tesseraud, S. (2017). Reducing the CP content in broiler feeds: Impact on animal performance, meat quality and nitrogen utilization. Animal, 11(11), 1881–1889.
17. Khan, S. A., Ujjan, N. A., Ahmed, G., Rind, M. I., Fazlani, S. A., Syed, S. F., Pirzado, S. A., Arain, M. A., Jammu, A., & Kashmir, P. (2011). Effect of low protein diet supplemented with or without amino acids on the production of broiler. African Journal of Biotechnology, 10(49), 10058–10065.
18. Corzo, A., Dozier, W. A., & Kidd, M. T. (2006). Dietary lysine needs of late-developing heavy broilers. Poultry Science, 85(3), 457–461.
19. Baxter, M., Greene, E. S., Kidd, M. T., Tellez-Isaias, G., Orlowski, S., & Dridi, S. (2020). Water amino acid-chelated trace mineral supplementation decreases circulating and intestinal HSP70 and proinflammatory cytokine gene expression in heat-stressed broiler chickens. Journal of Animal Science, 98(3), skaa049.
20. Lisnahan, C. V., Wihandoyo, Zuprizal, Z., & Harimurti, S. (2017). Growth performance of native chickens in the grower phase fed methionine and lysine-supplemented cafeteria standard feed. Pakistan Journal of Nutrition, 16(12), 940–944.
21. Songuine, T., Feteke, L., Kpomasse, C. C., Yarkoa, T., Parobali, T., Karou, S. D., & Pitala, W. (2025). Effects of methionine-supplemented low-protein diets on production efficiency, heat resilience, and welfare of broilers in tropical climates. Veterinary Medicine and Science, 11(5), e70242.
22. Hossain, M. A., Zulkifli, I., & Soleimani, A. F. (2017). Effect of high protein supplementation on growth and nutrient digestibility of broiler. Bangladesh Journal of Animal Science, 46(1), 44–50.
23. Liu, N., Wang, J. Q., Gu, K. T., Deng, Q. Q., & Wang, J. P. (2017). Effects of dietary protein levels and multienzyme supplementation on growth performance and markers of gut health of broilers fed a miscellaneous meal based diet. Animal Feed Science and Technology, 234, 110–117.
24. Apajalahti, J., & Vienola, K. (2016). Interaction between chicken intestinal microbiota and protein digestion. Animal Feed Science and Technology, 221, 323–330.
25. Qaisrani, S. N., Van Krimpen, M. M., Kwakkel, R. P., Verstegen, M. W. A., & Hendriks, W. H. (2015). Dietary factors affecting hindgut protein fermentation in broilers: A review. World's Poultry Science Journal, 71(1), 139–160.
26. Buwjoom, T., Yamauchi, K., Erikawa, T., & Goto, H. (2010). Histological intestinal alterations in chickens fed low protein diet. Journal of Animal Physiology and Animal Nutrition, 94(3), 354–361.
27. Macelline, S. P., Wickramasuriya, S. S., Cho, H. M., Kim, E., Shin, T. K., Hong, J. S., Kim, J. C., Pluske, J. R., Choi, H. J., Hong, Y. G., & Heo, J. M. (2020). Broilers fed a low protein diet supplemented with synthetic amino acids maintained growth performance and retained intestinal integrity while reducing nitrogen excretion when raised under poor sanitary conditions. Poultry Science, 99(2), 949–958.
28. Wang, J. X., & Peng, K. M. (2008). Developmental morphology of the small intestine of African ostrich chicks. Poultry Science, 87(12), 2629–2635.
29. Srivastava, S. (2022). Heat stress in chicken. Acta Scientific Veterinary Sciences, 4(5), 59–61.
30. Nagaraj, M., Wilson, C. A. P., Hess, J. B., & Bilgili, S. F. (2007). Effect of high-protein and all-vegetable diets on the incidence and severity of pododermatitis in broiler chickens. Journal of Applied Poultry Research, 16(3), 304–312.
31. Alfonso-Avila, A., Cirot, O., Lambert, W., & Létourneau-Montminy, M. (2022). Effect of low-protein corn and soybean meal-based diets on nitrogen utilization, litter quality, and water consumption in broiler chicken production: Insight from meta-analysis. Animal, 16(3), Article 100458.
32. Lemme, A., Hiller, P., Klahsen, M., Taube, V., Stegemann, J., & Simon, I. (2019). Reduction of dietary protein in broiler diets not only reduces n-emissions but is also accompanied by several further benefits. Journal of Applied Poultry Research, 28(4), 867–880.
33. Swiatkiewicz, S., Arczewska-Wlosek, A., & Jozefiak, D. (2017). The nutrition of poultry as a factor affecting litter quality and footpad dermatitis – An updated review. Journal of Animal Physiology and Animal Nutrition, 101(5), e14–e20.

Abstract

Limited reach and delayed responsiveness of conventional agricultural extension services may constrain fish farming productivity in Nigeria. Inadequate farm visits and delayed access to technical expertise can hinder timely problem resolution and informed decision-making. This exploratory case study examined the use of Google Meet and Zoom as real-time digital extension tools for supporting aquaculture advisory interactions at Brazil Farm, Abuja, Nigeria. A field-based case-study design was adopted, and live advisory sessions were conducted on both platforms to connect a farm manager with an aquaculture specialist located remotely. Structured observation was used to assess technical performance, interaction quality, advisory clarity, and farmer engagement during the live sessions. Both platforms enabled real-time visual assessment, interactive diagnosis, and immediate technical feedback, suggesting that synchronous video platforms may support real-time aquaculture advisory interactions in similar contexts. However, performance differences were observed. Zoom demonstrated more stable connectivity and clearer audio transmission, supporting smoother interaction during the technical discussion. Google Meet provided easier access and simpler navigation, facilitating quicker session initiation for users with limited prior experience. The observations from this exploratory case study suggest that platform functionality may be influenced by technological reliability, user familiarity, and local infrastructural conditions. Although limited to a single-case field study, the research provides empirical insight into the potential of real-time digital advisory systems to complement conventional extension approaches. Further multi-site and quantitative investigations are recommended to enhance generalizability and inform policy adoption.

Keywords: Digital extension; Aquaculture advisory; Real-time ICT; Google Meet; Zoom; Agricultural extension; Video conferencing; Fish farming; Nigeria.

References

1. Aker, J. C. (2011). Dial "A" for agriculture: A review of information and communication technologies for agricultural extension in developing countries. Agricultural Economics, 42(6), 631–647. https://doi.org/10.1111/j.1574-0862.2011.00545.x
2. Alhassan, Y. J., Muhammad, A. M., & Chari, A. D. (2022). Social media usage and agricultural extension delivery in Northwest Nigeria. Discoveries in Agriculture and Food Sciences, 1(1), 1–10.
3. Alwahaishi, S., & Snášel, V. (2013). Modeling the determinants affecting consumers' acceptance and use of information and communications technology. *International Journal of E-Adoption, 5*(2), 25–39. https://doi.org/10.4018/jea.2013040103
4. Ayim, C., Kassahun, A., Addison, C., & Tekinerdogan, B. (2022). Adoption of ICT innovations in the agriculture sector in Africa: A review of the literature. Agriculture & Food Security, 11, Article 22. https://doi.org/10.1186/s40066-022-00364-7
5. Beveridge, M. C. M., Thilsted, S. H., Phillips, M. J., Metian, M., Troell, M., & Hall, S. J. (2013). Meeting the food and nutrition needs of the poor: The role of fish and the opportunities emerging from the rise of aquaculture. Journal of Fish Biology, 83(4), 1067–1084. https://doi.org/10.1111/jfb.12187
6. Brummett, R. E., Lazard, J., & Moehl, J. (2008). African aquaculture: Realizing the potential. Food Policy, 33(5), 371–385. https://doi.org/10.1016/j.foodpol.2008.01.003
7. Chenyambuga, S. W., Mwandya, A. W., & Lamtane, H. A. (2014). Constraints and opportunities in fish farming in developing countries. Journal of Agricultural Extension, 18(2), 1–12.
8. Das, B., Mishra, A., & Sahoo, S. (2016). Information needs of fish farmers and their access to extension services: A study in aquaculture production systems. Indian Journal of Fisheries, 63(1), 1–7.
9. Davis, K., & Sulaiman, R. V. (2016). ICTs in agricultural extension and advisory services: A literature review. Journal of Agricultural Education and Extension, 22(1), 1–16. https://doi.org/10.1080/1389224X.2015.1026368
10. Demiryurek, K., Erdem, H., Ceyhan, V., Atasever, S., & Uysal, O. (2008). Agricultural information systems and communication networks: The case of dairy farmers in Samsun province, Turkey. Agricultural Systems, 98(2), 87–93. https://doi.org/10.1016/j.agsy.2008.05.002
11. Food and Agriculture Organization. (2010). The state of world fisheries and aquaculture 2010. FAO.
12. Food and Agriculture Organization. (2016). The state of world fisheries and aquaculture 2016. FAO.
13. Food and Agriculture Organization. (2022). The state of world fisheries and aquaculture 2022. FAO.
14. Kassam, L., & Dorward, A. (2017). A comparative assessment of aquaculture development in Africa. Aquaculture Economics & Management, 21(1), 41–58. https://doi.org/10.1080/13657305.2016.1252526
15. Meera, S. N., Jhamtani, A., & Rao, D. U. M. (2004). Information and communication technology in agricultural development: A comparative analysis of three projects from India (Agricultural Research and Extension Network Paper No. 135). Overseas Development Institute.
16. Nyarko, D. A., & Kozári, J. (2021). Information and communication technologies (ICTs) usage among agricultural extension officers and its impact on extension delivery in Ghana. Journal of the Saudi Society of Agricultural Sciences, 20(3), 164–172. https://doi.org/10.1016/j.jssas.2020.05.002
17. Ogello, E. O., Munguti, J. M., Sakakura, Y., & Hagiwara, A. (2013). Challenges facing aquaculture development in sub-Saharan Africa. African Journal of Agricultural Research, 8(40), 4983–4990.
18. Okeke, M. N., Nwalieji, H. U., & Uzuegbunam, C. O. (2014). Emerging role of ICTs in agricultural extension service delivery in Nigeria. Journal of Agricultural Extension, 18(1), 131–142.
19. Okunade, E. O., & Oladosu, I. O. (2006). Rating of extension teaching methods for training female farmers in Osun State, Nigeria. In Proceedings of the 10th Annual Conference of the Agricultural Extension Society of Nigeria (pp. xx–xx). Agricultural Extension Society of Nigeria.
20. Salau, E. S., & Saingbe, N. D. (2019). Access and use of ICTs among poultry farmers in Nigeria. Journal of Agricultural Extension, 23(4), 52–63.
21. Taiwo, A. M., & Amoo, Z. O. (2021). The use of information and communication technologies among agricultural extension personnel in Lagos State, Nigeria. Journal of Agripreneurship and Sustainable Development, 4(3), 144–152.
22. World Bank. (2014). Reducing poverty and inequality in Nigeria. World Bank.
23. World Bank. (2019). Future of food: Harnessing digital technologies to improve food system outcomes. World Bank. 

Abstract

Background: The occurrence of high rainfall in Assam and leaching of base cations cause the soils to become acidic in reaction. The high mobility of iron in acid soil and its absorption raises the iron concentration, and it damages the physiology of crop plants. That is why excessive iron is regarded as one of the limiting factors responsible for lowering growth, development and yield of upland rice crop under irrigation through shallow tube wells. An innovative approach using extracts of potassium- and antioxidant-rich bio-inputs might be a novel approach for deterring and halting physio-biochemical aberrations due to higher iron in acid soil condition.

Method: A pot experiment (CRBD with three replications) was carried out to investigate the effects of bay leaf, potato peel, and banana peel extracts on biochemical indicators of some upland (Ahu) rice crop (varieties: Inglongkiri, Dehangi (Fe tolerant), Lachit (Fe susceptible), and Luit) under higher iron in acid soil conditions during the Autumn season (March-September, 2024). The five treatments were: (1) 100 ppm FeSO₄ as basal at vegetative stage (control), (2) 100 ppm FeSO₄ as basal at vegetative stage plus root dip treatment before transplanting and foliar spray with bay leaf extract at 20 days after transplanting, (3) 100 ppm FeSO₄ as basal at vegetative stage plus root dip treatment before transplanting and foliar spray with banana peel extract at 20 days after transplanting, (4) 100 ppm FeSO₄ as basal at vegetative stage plus root dip treatment before transplanting and foliar spray with potato peel extract at 20 days after transplanting; (5) Natural soil without any treatment (absolute control).

Result: In general, compared to the control, the treatments significantly increased biochemical indices viz., total chlorophyll (10.80-21.90%), chlorophyll 'a' (6.39-20.93%), chlorophyll 'b' contents (7.27-22.35%) at maximum tillering stage; total chlorophyll (10.96-21.38%), chlorophyll 'a' (11.88-21.89%), chlorophyll 'b' contents at heading stage (7.22-15.79%), NR activity at maximum tillering (12.43-35.52%) and heading (15-36.23%) stages, carbohydrate content (7.51-13.81%) and reduced iron content (10.57-21.34%) in grain at harvest. The bio-input extracts lessened cation leakage at maximum tillering (2.25-1.63%) and heading (3.52-2.83%) stages, and lipid peroxidation at maximum tillering (30.03-10.55%) and heading (29.64-10.96%) stages, despite the presence of high iron in the soil (initial: 200 ppm, harvest: 106 ppm). In the experiment, the intensity of blue colour following Perl's Prussian Blue staining was directly related to iron content in grain, with darker staining indicating higher iron accumulation, and this was altered by the bio-input treatments.

Keywords: Banana peel, Bay leaf, Chlorophyll, CMS, Cation leakage, Carbohydrate, Iron, Potato peel, Rice.

References

1. Aina, O., Bakare, O. O., Daniel, A. I., Gokul, A., Beukes, D. R., Fadaka, A. O., & Klein, A. (2022). Seaweed-derived phenolic compounds in growth promotion and stress alleviation in plants. Life, 12(10), Article 1548.
2. Baruah, T. C., & Borthakur, H. P. (1997). Soil chemistry. In T. C. Baruah & H. P. Borthakur, A textbook of soil analysis (pp. 118–132). Vikas Publishing House.
3. Baruah, T. C., Pal, R., Poonia, S. R., & Siyag, R. S. (1983). Exchange equilibria of sodium versus calcium and potassium in some arid sols. Journal of the Indian Society of Soil Science, 31(3), 394–402.
4. Batool, S., Khera, R. A., Hanif, M. A., & Ayub, M. A. (2020). Bay leaf. In M. A. Hanif, H. Nawaz, M. M. Khan, & H. J. Byrne (Eds.), Mineral plants of South Asia: Novel sources for drug discovery (pp. 63–74). https://doi.org/10.1016/B978-0-08-102659-5.00005-7
5. Bey, A. (2022). Effects of cytokinin and some organic acids on physiological performance of rice (Oryza sativa L.) crop under higher iron condition [Master's thesis, Assam Agricultural University].
6. Bey, S., Bharali, B., Devi, H. S. (2026). Effects of bay leaf (Laurus nobilis L.), potato (Solanum tuberosum L.) peel and banana (Musa species) peel extracts on physiological performance of some upland (Ahu) rice (Oryza sativa L.) crop under higher iron in acid soil condition. International Journal of Environmental & Agriculture Research, 12(2), 53–69. https://doi.org/10.25125/agriculture-journal
7. Bharali, A., Ullah, Z., Haloi, B., Chutia, J., & Chack, S. (2016). Phytotoxicity of oxidised and reduced nitrogen aerosols on potato (Solanum tuberosum L.) crops. In S. Londhe (Ed.), Sustainable potato production and the impact of climate change. IGI Global.
8. Bharali, B., & Bates, J. W. (2004). Influences of extracellular calcium and iron on membrane sensitivity to bisulphite in the mosses Pleurozium schreberi and Rhytidiadelphus triquetrus. Journal of Bryology, 26(1), 53–59.
9. Bharali, B., Haloi, B., Chutia, J., Chack, S., & Hazarika, K. (2015). Susceptibility of some wheat (Triticum aestivum L.) varieties to aerosols of oxidised and reduced nitrogen. Advances in Crop Science and Technology, 3(4), Article 1000182. http://dx.doi.org/10.4172/2329-8863.1000182
10. Bora, D. K., & Borkakati, K. (1997). Soil acidity. In H. P. Borthakur (Ed.), Managing acid soils for sustainable agriculture: Review of soil research in Assam (pp. 22–40). Department of Soil Science, Assam Agricultural University.
11. Borah, D. K., & Nath, A. K. (1979). Plant availability and yield potential of native and applied fixed phosphates as affected by pH and moisture regime of soils. Indian Journal of Agricultural Chemistry, 12(2), 97–108.
12. Buckenhüskes, H. J. (2005). Nutritionally relevant aspects of potatoes and potato constituents. In A. J. Haverkort & P. C. Struik (Eds.), Potato in progress (pp. 15–26). Wageningen Academic Publishers.
13. Burton, W. G. (1989). The potato (3rd ed., pp. 286–360). Longman Group.
14. Cakmak, H., Kumcuoglu, S., & Tavman, S. (2013). Thin layer drying of bay leaves (Laurus nobilis L.) in conventional and microwave oven. Akademik Gıda, 11(1), 20–26.
15. Degenkolbe, T., Do, P. T., Zuther, E., Repsilber, D., Walther, D., Hincha, D. K., & Köhl, K. I. (2009). Expression profiling of rice cultivars differing in their tolerance to long-term drought stress. Plant Molecular Biology, 69(1-2), 133–153.
16. Emaga, T. H., Andrianaivo, R. H., Wathelet, B., Tchango, J. T., & Paquot, M. (2007). Effects of the stage of maturation and varieties on the chemical composition of banana and plantain peels. Food Chemistry, 103(2), 590–600.
17. Fazeli, F., Ghorbanli, M., & Niknam, V. (2007). Effect of drought on biomass, protein content, lipid peroxidation and antioxidant enzymes in two sesame cultivars. Biologia Plantarum, 51(1), 98–103.
18. Gebrechristos, H. Y., Ma, X., Xiao, F., He, Y., Zheng, S., Oyungerel, G., & Chen, W. (2020). Potato peel extracts as an antimicrobial and potential antioxidant in active edible film. Food Science & Nutrition, 8(12), 6338–6345.
19. Halliwell, B., & Gutteridge, J. M. C. (1989). The role of iron in free radical reactions. In O. Hayaishi, E. Niki, M. Kondo, & T. Yoshikawa (Eds.), Medical, biochemical and chemical aspects of free radicals (pp. 21–32). Elsevier.
20. Heath, R. L., & Packer, L. (1968). Photoperoxidation in isolated chloroplasts: II. Role of electron transfer. Archives of Biochemistry and Biophysics, 125(3), 850–857.
21. Hedge, J. E., & Hofreiter, B. T. (1962). Determination of total carbohydrate by anthrone method. In R. L. Whistler & M. L. Wolfrom (Eds.), Methods in carbohydrate chemistry (Vol. 1, pp. 17–22). Academic Press.
22. Hiscox, J. D., & Israelstam, G. F. (1979). A method for the extraction of chlorophyll from leaf tissue without maceration. Canadian Journal of Botany, 57(12), 1332–1334.
23. Jabeen, N., & Ahmad, R. (2011). Foliar application of potassium nitrate affects the growth and nitrate reductase activity in sunflower and safflower leaves under salinity. *Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 39*(2), 172–178.
24. Jackson, M. L. (1973). Soil chemical analysis. Prentice Hall of India.
25. Kraus, T. E., Dahlgren, R. A., & Zasoski, R. J. (2003). Tannins in nutrient dynamics of forest ecosystems—A review. Plant and Soil, 256(1), 41–66.
26. Leopold, A. C., Musgrave, M. E., & Williams, K. M. (1981). Solute leakage resulting from leaf desiccation. Plant Physiology, 68(6), 1222–1225.
27. Mandal, D. K., Mandal, C., Prasad, J., & Bhattacharyya, T. (2019). Acid soils in agro-ecological sub-regions of India: A revisit. Indian Journal of Fertilisers, 15(10), 1156–1166.
28. Mandal, S. C. (1995). Nutrient dynamics and classification of acid soils. In M. A. Mohsin, A. K. Sarkar, & B. S. Mathur (Eds.), Acid soil management (pp. 82–91).
29. Nguyen, T. B. T., Ketsa, S., & van Doorn, W. G. (2003). Relationship between browning and the activities of polyphenol oxidase and phenylalanine ammonia lyase in banana peel during low temperature storage. Postharvest Biology and Technology, 30(2), 187–193.
30. Panse, V. G., & Sukhatme, P. V. (1967). Statistical methods for agricultural workers (2nd ed.). Indian Council of Agricultural Research.
31. Price, A. H., & Hendry, G. A. F. (1991). Iron-catalysed oxygen radical formation and its possible contribution to drought damage in nine native grasses and three cereals. Plant, Cell and Environment, 14(5), 477–484.
32. Purusothaman, R. (2010). Genetic analysis for high iron and zinc content in rice (Oryza sativa L.) grains [Unpublished master's thesis]. Tamil Nadu Agricultural University.
33. Rashid, N., Khan, S., Wahid, A., Ibrar, D., Irshad, S., Bakhsh, A., Hasnain, Z., Albalawi, T., & Zuan, A. T. K. (2021). Exogenous application of moringa leaf extract improves growth, biochemical attributes, and productivity of late-sown quinoa. PLOS ONE, 16(11), Article e0259214. https://doi.org/10.1371/journal.pone.0259214
34. Rice-Evans, C., Miller, N., & Paganga, G. (1997). Antioxidant properties of phenolic compounds. Trends in Plant Science, 2(4), 152–159.
35. Sandell, E. B. (1950). Iron. In Colourimetric determination of traces of metals (3rd ed., pp. 522–554). Interscience Publishers.
36. Sarkar, D., Bhowmik, P. C., & Shetty, K. (2010). Effects of marine peptide and chitosan oligosaccharide on high and low phenolic creeping bentgrass clonal lines and improvement of antioxidant enzyme response. Agronomy Journal, 102(3), 981–989.
37. Shobhana, V. G., Senthil, N., Kalpana, K., Abirami, B., Sangeetha, J., Saranya, B., Raveendran, M. (2013). Comparative studies on the iron and zinc contents estimation using atomic absorption spectrophotometer and grain staining techniques (Prussian blue and DTZ) in maize germplasms. Journal of Plant Nutrition, 36(2), 329–342. https://doi.org/10.1080/01904167.2012.744419
38. Siddiqui, M. H., Al-Whaibi, M. H., Sakran, A. M., Basalah, M. O., & Ali, H. M. (2012). Effect of calcium and potassium on antioxidant system of Vicia faba L. under cadmium stress. International Journal of Molecular Sciences, 13(6), 6604–6619.
39. Sidhu, J. S., & Zafar, T. A. (2018). Bioactive compounds in banana fruits and their health benefits. Food Quality and Safety, 2(4), 183–188.
40. Singh, B. P., & Singh, B. N. (1987). Response to K application of rice in iron rich valley soils. International Rice Research Newsletter, 12(4), 31–32.
41. Soleimanzadeh, H., Habibi, D., Ardakani, M. R., Paknejad, F., & Rejali, F. (2010). Effect of potassium levels on antioxidant enzymes and malondialdehyde content under drought stress in sunflower (Helianthus annuus L.). Proceedings of the 2010 American Control Conference, 4343–4348.
42. Song, Z. Z., Duan, C. L., Guo, S. L., Yang, Y., Feng, Y. F., Ma, R. J., & Yu, M. L. (2015). Potassium contributes to zinc stress tolerance in peach (Prunus persica) seedlings by enhancing photosynthesis and the antioxidant defense system. Genetics and Molecular Research, 14(3), 8338–8351.
43. Thimmaiah, S. K. (1999). Methods of biochemical analysis: Carbohydrates. In Standard methods of biochemical analysis (pp. 49–77). Kalyani Publishers.
44. Velu, G., Kulkarni, V. N., Muralidharan, V., Rai, K. N., Longvah, T., Sahrawat, K. L., & Raveendran, T. S. (2006). A rapid screening method for grain iron content in pearl millet. Journal of SAT Agricultural Research, 2(1). https://doi.org/10.3914/ICRISAT.0169
45. Wang, Y., & Wu, W. H. (2013). Potassium transport and signaling in higher plants. Annual Review of Plant Biology, 64(1), 451–476.
46. Yoshida, S., Forno, D. A., & Cook, S. H. (1971). Laboratory manual for physiological studies of rice (p. 13). The International Rice Research Institute.

Abstract

Environmental contamination from herbicide applications for weed control remains a significant concern. This study presents an ecological and dietary risk assessment of tembotrione following its long-term use in maize cultivation, focusing on potential impacts on humans, animals, and aquatic organisms. Residue levels and degradation behavior of tembotrione were monitored in soil, maize plants, and grains at various intervals post-application to estimate exposure risks. The half-life showed a positive correlation with tembotrione persistence in soil, as well as with its water solubility and volatility. Risk Quotient (RQ) values indicated a risk ranging from high to negligible for soil macro-organisms over a 60-day period, with a moderate risk at 90 days. Health Quotient analysis revealed that the risk to animal health from consuming contaminated maize straw varied from high to low. Human dietary exposure posed a relatively low risk. However, aquatic organisms exhibited moderate to high ecological risk. These findings underscore the importance of tembotrione residues and its long-term ecological footprint in agricultural systems.

Keywords: Risk assessment; Fish; Health; Macro-organisms; Pesticides; Maize cultivation; Herbicide persistence.

References

1. Austria. (2011). *Revision 3 of the draft assessment report on the active substance tembotrione prepared by the competent Member State Austria in the framework of Council Directive 91/414/EEC* (November 2011).
2. Benbrook, C. M., & Davis, D. R. (2020). The dietary risk index system: A tool to track pesticide dietary risks. Environmental Health, 19, Article 103.
3. Benbrook, C. (2022). Tracking pesticide residues and risk levels in individual samples—Insights and applications. Environmental Sciences Europe, 34, Article 60.
4. Bontempo, A. F., Carneiro, G. D. P., Guimarães, F. A. R., Reis, M. R., Silva, D. V., Rocha, B. H., Souza, M. F., & Sediyama, T. (2016). Residual tembotrione and atrazine in carrot. Journal of Environmental Science and Health, Part B, 51(7), 465–468.
5. Cao, J., Zhang, Y., Wu, X., Chen, N., Xu, J., Liu, X., Dong, F., & Zheng, Y. (2021). Dissipation behaviour and dietary risk assessment of tembotrione in corn from Henan and Jilin Provinces, China. International Journal of Environmental Analytical Chemistry. Advance online publication. https://doi.org/10.1080/03067319.2020.1865331
6. Christos, A., Damalas, T. K., Gitsopoulos, S. D., Alexoudis, K. C., & Georgoulas, I. (2018). Weed control and selectivity in maize (Zea mays L.) with tembotrione mixtures. International Journal of Pest Management, 64(1), 11–18.
7. Dias, R. C., Melo, C. A., Faria, T., Silva, D. V., & Mendes, K. F. (2019). Effects of tembotrione on potato crop in a tropical soil. Communications in Soil Science and Plant Analysis, 50(13), 1652–1661.
8. U.S. Environmental Protection Agency. (2007). Pesticide fact sheet: Tembotrione. https://www3.epa.gov/pesticides/chem_search/reg_actions/registration/fs_PC-012801_01-Sep-07.pdf
9. U.S. Environmental Protection Agency. (2022). EPA risk assessment guidelines. https://www.epa.gov/risk/risk-assessment-guidance
10. European Food Safety Authority. (2013). Conclusion on the peer review of the pesticide risk assessment of the active substance tembotrione. EFSA Journal, 11(3), Article 3131.
11. European Food Safety Authority. (2019). Pesticide Residue Intake Model—EFSA PRIMo revision 3.1. https://www.efsa.europa.eu/en/supporting/pub/en-1605
12. Food and Agriculture Organization of the United Nations & World Health Organization. (2020). Dietary exposure assessment for chemicals in food. In Environmental Health Criteria 240: Principles for risk assessment of chemicals in food (Chapter 6, pp. 6-1–6-144). WHO.
13. Food and Agriculture Organization of the United Nations. (2020). FAOSTAT. https://www.fao.org/faostat/en/
14. Goalla, S. P., Janaki, P., Ramalakshmi, A., Karthikeyan, R., & Meena, S. (2022). Tembotrione combinations on enzyme activities and arbuscular mycorrhiza in maize planted soil. Toxicological & Environmental Chemistry, 104(1), 67–83.
15. He, M., Song, D., Jia, H. C., & Zheng, Y. (2016). Concentration and dissipation of chlorantraniliprole and thiamethoxam residues in maize straw, maize, and soil. Journal of Environmental Science and Health, Part B, 51(9), 594–601.
16. Heap, I. (2023). The International Herbicide-Resistant Weed Database. Retrieved January 11, 2023, from www.weedscience.org
17. Maximize Market Research. (2023). Global tembotrione market. https://www.maximizemarketresearch.com/market-report/global-tembotrione-market/55892/
18. ICAR-Indian Institute of Maize Research. (2022). World maize scenario. https://iimr.icar.gov.in/world-maze-scenario/
19. International Programme on Chemical Safety. (2009). Principles and methods for the risk assessment of chemicals in food (Environmental Health Criteria 240). World Health Organization.
20. Jensen, B. H., Petersen, A., Petersen, P. B., Christensen, T., Fagt, S., Trolle, E., Poulsen, M. E., & Andersen, J. H. (2022). Cumulative dietary risk assessment of pesticides in food for the Danish population for the period 2012–2017. Food and Chemical Toxicology, 168, Article 113359.
21. Khanna, N., Bhullar, M. S., Jaidka, M., & Kaur, T. (2022). Maize weed control and yield using different applications of tembotrione. International Journal of Pest Management. Advance online publication. https://doi.org/10.1080/09670874.2022.2050833
22. Mendes, K. F., Martins, B. A. B., & dos Reis, M. R. (2017). Quantification of the fate of mesotrione applied alone or in a herbicide mixture in two Brazilian arable soils. Environmental Science and Pollution Research, 24, 8425–8435.
23. Mercurio, P., Mueller, J. F., Eaglesham, G., Flores, F., & Negri, A. P. (2015). Herbicide persistence in seawater simulation experiments. PLOS ONE, 10(8), Article e0136391.
24. Organisation for Economic Co-operation and Development & Food and Agriculture Organization of the United Nations. (2022). *OECD-FAO agricultural outlook 2022–2031* (pp. 154–167). OECD Publishing.
25. Pérez, D. J., Iturburu, F. G., Calderon, G., Oyesqui, L. A. E., De Gerónimo, E., & Aparicio, V. C. (2021). Ecological risk assessment of current-use pesticides and biocides in soils, sediments and surface water of a mixed land-use basin of the Pampas region, Argentina. Chemosphere, 263, Article 128061.
26. Pest Management Regulatory Agency. (2016). *Evaluation Report ERC2012-02: Tembotrione*. Health Canada. http://www.hc-sc.gc.ca/cps-spc/pubs/pest/_decisions/erc2012-02/index-eng.php
27. Pest Management Regulatory Agency. (2014). Pest Management Regulatory Agency. Health Canada. https://www.canada.ca/en/health-canada/corporate/about-health-canada/branches-agencies/pest-management-regulatory-agency.html
28. National Center for Biotechnology Information. (2023). PubChem compound summary for CID 11707428: Tembotrione. Retrieved January 1, 2023, from https://pubchem.ncbi.nlm.nih.gov/compound/Tembotrione
29. Sahand, J., Rahmani, F. R. A., Jaafarzadeh, N., Ghaedrahmat, Z., Almasi, H., & Zahedi, A. (2021). Herbicide residues in water resources: A scoping review. Avicenna Journal of Environmental Health Engineering, 8(2), 126–133.
30. European Commission. (2021). *Guidance SANTE 11312/2021: Analytical quality control and method validation procedures for pesticide residues analysis in food and feed*. https://www.accredia.it/en/documento/guidance-sante-11312-2021-analytical-quality-control-and-method-validation-procedures-for-pesticide-residues-analysis-in-food-and-feed/
31. Shaner, D., Brunk, G., Nissen, S., Westra, P., & Chen, W. (2012). Role of soil sorption and microbial degradation on dissipation of mesotrione in plant-available soil water. Journal of Environmental Quality, 41(1), 170–178.
32. Silva, E. M. G., Faria, A. T., Marulanda, N. M. E., Pereira, G. A. M., Saraiva, D. T., Reis, M. R., & Silva, A. A. (2019). Tembotrione half-life in soils with different attributes. Planta Daninha, 37. https://doi.org/10.1590/S0100-83582019370100074
33. Sondhia, S., Waseem, U., & Varma, R. K. (2013). Fungal degradation of an acetolactate synthase (ALS) inhibitor pyrazosulfuron-ethyl in soil. Chemosphere, 93(9), 2140–2147.
34. Sondhia, S. (2014). Herbicides residues in soil, water, plants and non-targeted organisms and human health implications: An Indian perspective. Indian Journal of Weed Science, 46(1), 66–85.
35. Sondhia, S., Rajput, S., Verma, R. K., & Kumar, A. (2016). Biodegradation of the herbicide penoxsulam (triazolopyrimidine sulphonamide) by fungal strains of Aspergillus in soil. Applied Soil Ecology, 105, 196–206.
36. Sondhia, S. (Ed.). (2016). Herbicide residue analysis. Satish Serial Publication House.
37. Sondhia, S., & Waseem, U. (2020). Residue dynamics and degradation behaviour of pyrazosulfuron-ethyl in the maize field environment. Indian Journal of Weed Science, 52(4), 362–365.
38. Sondhia, S. (2018). Toxicological significance of MRLs with special reference to glyphosate: Let's talk about. In ISWS Golden Jubilee International Conference "Weeds and Society: Challenges and Opportunities" (p. 28). Jabalpur, India.
39. Statista. (2020). Agricultural consumption of pesticides worldwide in 2020, by type. https://www.statista.com/statistics/1263206/global-pesticide-use-by-type/
40. Su, Y., Wang, W., Hu, J., & Liu, X. (2020). Dissipation behavior, residues distribution and dietary risk assessment of tembotrione and its metabolite in maize via QuEChERS using HPLC-MS/MS technique. Ecotoxicology and Environmental Safety, 191, Article 110187.
41. Syafrudin, M., Kristanti, R. A., Yuniarto, A., Hadibarata, T., Rhee, J., Al-Onazi, W. A., Algarni, T. S., Almarri, A. H., & Al-Mohaimeed, A. M. (2021). Pesticides in drinking water—A review. International Journal of Environmental Research and Public Health, 18(2), Article 468.
42. Maximize Market Research. (2021). Tembotrione market: Global industry analysis and forecast 2021–2027 (Report ID 55892). https://www.maximizemarketresearch.com/market-report/global-tembotrione-market/55892/
43. Trigo, C., Spokas, K. A., Cox, L., & Koskinen, W. C. (2014). Influence of soil biochar aging on sorption of the herbicides MCPA, nicosulfuron, terbuthylazine, indaziflam, and fluoroethyl diaminotriazine. Journal of Agricultural and Food Chemistry, 62(45), 10855–10860.
44. U.S. Department of Agriculture. (2022). Agricultural Marketing Services: Pesticide Data Program. https://www.ams.usda.gov/datasets/pdp
45. World Health Organization. (2020). Dietary exposure assessment for chemicals in food. In EHC 240: Principles for risk assessment of chemicals in food (2nd ed., Chapter 6, pp. 1–147). WHO.
46. Wang, X., Wen, S., Shi, T., Li, Q. X., & Hua, P. L. R. (2022). Photocatalysis of the triketone herbicide tembotrione in water with bismuth oxychloride nanoplates: Reactive species, kinetics and pathways. Journal of Environmental Chemical Engineering, 10(5), Article 108455.
47. Yang, Y., Chen, T., Liu, X., Wang, S., Wang, K., Xiao, R., Chen, X., & Zhang, T. (2022). Ecological risk assessment and environment carrying capacity of soil pesticide residues in vegetable ecosystem in the Three Gorges Reservoir Area. Journal of Hazardous Materials, 435, Article 128987.
48. Zhang, Z., Jiang, W., Jian, Q., Song, W., Zheng, Z., & Wang, D. (2015). Residues and dissipation kinetics of triazole fungicides difenoconazole and propiconazole in wheat and soil in Chinese fields. Food Chemistry, 168, 396–403.
49. Zhou, S., Di Paolo, C., Wu, X., Shao, Y., Seiler, T. J., & Hollert, H. (2019). Optimization of screening-level risk assessment and priority selection of emerging pollutants – The case of pharmaceuticals in European surface waters. Environment International, 128, 1–10.
50. Zemełka, G. (2015). Fate of three herbicides (tembotrione, nicosulfuron and s-metolachlor) on soil from Limagne region (France). *Technical Transactions: Civil Engineering, 4-B*, 1–8.

Abstract

Maize (Zea mays L.) is one of the most important cereal crops cultivated worldwide and plays a significant role in food security, livestock feed, and industrial applications. However, environmental stresses such as drought, heat stress, and irregular rainfall patterns have severely affected maize productivity in many regions. The identification of stable and stress-tolerant maize genotypes is therefore essential for improving crop productivity under changing climatic conditions. The present study aimed to analyze molecular diversity and yield stability among selected maize genotypes under different environmental conditions. Field experiments were conducted to evaluate important agronomic traits including plant height, days to tasseling, cob length, and grain yield. Molecular characterization was performed using simple sequence repeat (SSR) markers to identify genetic variation among maize genotypes. Statistical analyses including analysis of variance (ANOVA), principal component analysis (PCA), and cluster analysis were conducted to evaluate variability and stability among genotypes. The results revealed significant genetic variability among the evaluated maize genotypes. Certain genotypes exhibited superior yield stability and adaptability under stress conditions. The findings suggest that integrating molecular tools with conventional breeding approaches can accelerate the development of climate-resilient maize varieties for sustainable agricultural production.

Keywords: Maize, Molecular diversity, Genetic variability, Stress tolerance, Crop improvement, Climate resilience.

References

1. Prasanna, B. M., Araus, J. L., Crossa, J., Cairns, J. E., Palacios, N., Das, B., & Magorokosho, C. (2015). Modern maize breeding strategies. Crop Science, 55(6), 2355–2370.
2. Zaidi, P. H., Seetharam, K., Krishna, G. K., Vinayan, M. T., & Cairns, J. E. (2016). Drought tolerance in maize hybrids. Field Crops Research, 198, 1–12.
3. Bänziger, M., Setimela, P. S., Hodson, D., & Vivek, B. (2017). Stress tolerant maize varieties. Agricultural Research Journal, 54(3), 321–330.
4. Cairns, J. E., Prasanna, B. M., & Govaerts, B. (2017). Climate resilient maize breeding. Global Food Security, 14, 45–52.
5. Chen, B., Li, X., Zhang, D., & Wang, Y. (2018). Genomic diversity in maize populations. Plant Genetics, 12(4), 345–358.
6. Xu, Y., Li, P., Yang, Z., & Xu, C. (2018). Genomic selection in maize breeding. Plant Biotechnology Journal, 16(8), 1415–1428.
7. Li, X., Wang, Y., Zhang, D., & Chen, B. (2019). Genome-wide association studies in maize. Plant Science, 287, Article 110198.
8. Khan, A., Ahmad, M., & Shah, Z. (2020). Genetic variability in maize. Journal of Agricultural Research, 58(2), 123–134.
9. Barbosa, P. A. M., Faria, S. V., & Santos, T. T. (2021). Genetic diversity in maize germplasm. Frontiers in Plant Science, 12, Article 745678.
10. Shiferaw, B., Prasanna, B. M., Hellin, J., & Bänziger, M. (2022). Global maize production challenges. Agricultural Systems, 195, Article 103305.
11. Zhang, Y., Liu, X., & Wang, L. (2023). Molecular breeding in maize. Plant Biotechnology Reports, 17(3), 289–302.
12. Liang, X., Chen, J., & Zhao, Y. (2024). Genomic technologies in maize improvement. Plants, 13(4), Article 567.
13. Peer, L. A., Dar, Z. A., & Lone, A. A. (2025). Molecular mechanisms of drought tolerance in maize. Plant Cell Reports, 44(2), 321–338.
14. Singh, R., Kumar, A., & Singh, V. (2026). Genetic variability in maize. International Journal of Agricultural Science, 42(1), 78–92. 

Abstract

Flowering and seed set is enigmatic in bamboos. Massive seeding is followed by death of the entire clump, and seeds also remain viable for a short span of time. This limitation restricts the utility of seeds for various purposes. The solution for this loss of viability can be obtained by improving seed storage methods, such as cryopreservation, to maintain viability over extended periods. Alternative approaches using in vitro techniques including somatic embryogenesis (micropropagation) followed by artificial seed production, as well as in vitro flowering with subsequent seed set, offer promising solutions. Seeds can be utilized for multiple applications through innovative, practical, and commercial approaches that address the unpredictable seeding behavior of bamboos. This review examines the current state of knowledge on bamboo seed germination, storage requirements, phytochemical composition, and biotechnological applications including micropropagation, somatic embryogenesis, artificial seeds, and in vitro flowering.

Keywords: Bamboo seeds, Monocarpy, Somatic embryogenesis, Cryopreservation, Bamboo rice, Artificial seeds, In vitro flowering.

References

1. Singh, G., Richa, & Sharma, M. L. (2017). A review article- Bamboo and viability. International Journal of Current Advanced Research, 6(1), 1690–1691.
2. Varmah, J. C., & Bahadur, K. N. (1980). Country report and status of research on bamboo in India. Indian Forest Records (Botany), 6, 1–28.
3. Singh, B., & Nayyar, H. (2000). Response of aged bamboo (Dendrocalamus hamiltonii L. Munro) seeds to application of gibberellic acid and indole-3-butyric acid. Indian Forester, 126(8), 874–878.
4. Geetika, Richa, & Sharma, M. L. (2016). Viability loss of bamboo seeds of three species associated with membrane phase behavior during seed storage. World Journal of Pharmacy and Pharmaceutical Sciences, 5(11), 1634–1642.
5. Gopichand, & Sood, A. (2008). The influence of some growth regulators on the seed germination of Dendrocalamus strictus Nees. Indian Forester, 134(3), 397–402.
6. Banik, R. L. (1994). Studies on seed germination, seedling growth and nursery establishment of Melocanna baccifera (Roxb.) Kurz. In Proceedings of the 4th International Bamboo Workshop on Bamboo in Asia and the Pacific (pp. 113–119). Food and Agriculture Organization of the United Nations.
7. Somen, C. K., & Seethalakshmi, K. K. (1989). Effect of different storage conditions on the viability of seeds of Bambusa arundinacea. Seed Science and Technology, 17, 355–360.
8. Midya, S. (1994). Cryogenic preservation of bamboo (Bambusa arundinacea) seeds for propagation in forests. Indian Forester, 120(6), 541–543.
9. Ellis, R. H., Hong, T. D., Roberts, E. H., & [Additional authors if available]. (1990). Low moisture content limits to relations between seed longevity and moisture. Annals of Botany, 65(5), 493–504.
10. Kiruba, S., Jeeva, S., Sam Manohar Das, S., & Kannan, D. (2007). Bamboo seeds as a means to sustenance of the indigenous community. Indian Journal of Traditional Knowledge, 6(1), 199–203.
11. Lakshminarayana Rao, M. V., Subramanian, N., & Srinivasan, M. (1955). Nutritive value of bamboo seeds (Bambusa arundinacea, Willd.). Current Science, 24(8), 157–158.
12. Watt, G. A. (1989). Dictionary of the economic products of India (Vol. 6). Government Printing Office.
13. Gowri Manohari, R., Saravanamoorthy, M. D., Vijayakumar, P., & Vijayan, B. (2016). Preliminary phytochemical analysis of bamboo seed. World Journal of Pharmacy and Pharmaceutical Sciences, 5(4), 1336–1342.
14. Thamizharasan, S., Umamaheshwari, S., Rajeshwari, H., & Ulgaratchagan. (2015). Preliminary phytochemical evaluation of Bambusa arundinacea seeds. International Journal of Recent Trends in Science and Technology, 14(2), 288–298.
15. Scherwinski-Pereira, J. E., dos Santos Neves, J., & Balzon, T. A. (2021). Advances in the conservation of bamboo genetic resources through whole seed cryopreservation. In Z. Ahmad, Y. Ding, & A. Shahzad (Eds.), Biotechnological advances in bamboos (pp. 245–262). Springer. https://doi.org/10.1007/978-981-16-1310-4-12
16. Alexander, M. P., & Rao, T. C. (1968). In vitro culture of bamboo embryo. Current Science, 37(14), 415.
17. Godbole, S., Sood, A., Thakur, R., Sharma, M., & Ahuja, P. S. (2002). Somatic embryogenesis and its conversion into plantlets in a multipurpose bamboo, Dendrocalamus hamiltonii Nees et Arn. ex Munro. Current Science, 83(7), 885–889.
18. Mehta, U., Rao, I. V. R., & Ram, H. Y. M. (1982). Somatic embryogenesis in bamboo. In A. Fujiwara (Ed.), Plant tissue culture: Proceedings of the 5th International Congress of Plant Tissue and Cell Culture (pp. 109–110). Japanese Association for Plant Tissue Culture.
19. Kapoor, P., & Rao, I. U. (2006). In vitro rhizome induction and plantlet formation from multiple shoots in Bambusa bambos var. gigantea Bennet and Gaur by using plant growth regulators and sucrose. Plant Cell, Tissue and Organ Culture, 85(2), 211–217.
20. Hu, S., Zhou, J., Cao, Y., Lu, X., Duan, N., Ren, P., & Chen, K. (2011). In vitro callus induction and plant regeneration from mature seed embryo and young shoots in a giant sympodial bamboo, Dendrocalamus farinosus (Keng et Keng f.) Chia et H. L. Fung. African Journal of Biotechnology, 10(16), 3210–3215.
21. Rout, G. R., & Das, P. (1994). Somatic embryogenesis and in vitro flowering in three species of bamboo. Plant Cell Reports, 13(12), 683–686.
22. Yeh, M. L., & Chang, W. C. (1986a). Plant regeneration through somatic embryogenesis in callus culture of green bamboo (Bambusa oldhamii Munro). Theoretical and Applied Genetics, 73(2), 161–163.
23. Yeh, M. L., & Chang, W. C. (1986b). Somatic embryogenesis and subsequent plant regeneration from inflorescence callus of Bambusa beecheyana Munro var. beecheyana. Plant Cell Reports, 5(6), 409–411.
24. Gillis, K., Gielis, J., Peeters, H., Dhooghe, E., & Oprins, J. (2007). Somatic embryogenesis from mature Bambusa balcooa Roxb as a basis for mass production of elite forestry bamboos. Plant Cell, Tissue and Organ Culture, 91(2), 115–123.
25. Nadgauda, R. S., John, C. K., & Mascarenhas, A. F. (1993). Floral biology and breeding behavior in bamboo Dendrocalamus strictus Nees. Tree Physiology, 13(4), 401–408.
26. Janzen, D. H. (1976). Why bamboos wait so long to flower? Annual Review of Ecology and Systematics, 7, 347–391.
27. John, C. K., & Nadgauda, R. S. (1999). In vitro induced flowering in bamboos. *In Vitro Cellular & Developmental Biology - Plant, 35*(4), 309–315.
28. Nadgauda, R. S., John, C. K., & Mascarenhas, A. F. (1990). Precocious flowering and seeding behaviour in tissue cultured bamboos. Nature, 344(6264), 335–336.
29. Rao, I. V. R., & Rao, I. U. (1990). Tissue culture approaches to the mass propagation and genetic improvement of bamboos. In I. V. R. Rao, R. Gnanaharan, & C. B. Sastry (Eds.), Bamboo current research: Proceedings of the International Bamboo Workshop (pp. 151–158). Kerala Forest Research Institute and International Development Research Centre.
30. Singh, S. R., Singh, R., Kalia, S., Dalal, S., Dhawan, A. K., & Kalia, R. K. (2013). Limitations, progress and prospects of application of biotechnological tools in improvement of bamboo—A plant with extraordinary qualities. Physiology and Molecular Biology of Plants, 19(1), 21–41. 

Abstract

Canine parvovirus infection is a highly contagious disease of significant clinical and epidemiological relevance in veterinary medicine. It carries a high risk of severity and lethality, posing a particular threat to young, unvaccinated, or immunocompromised animals, and is one of the leading causes of severe gastroenteritis and mortality in dogs. Canine parvovirus (CPV-2) belongs to the family Parvoviridae and the genus Protoparvovirus. Two distinct parvoviruses are known to infect dogs: CPV-1, also called the minute virus of canines (MCV), and the pathogenic CPV-2. MCV may cause pneumonia, myocarditis, and enteritis in young pups, or transplacental infections in pregnant dams, leading to embryo resorption and fetal death. CPV-2, the causative agent of acute hemorrhagic enteritis and myocarditis in dogs, is one of the most important pathogenic viruses, with high morbidity (100%) and frequent mortality—up to 10% in adult dogs and 91% in puppies. This study aimed to diagnose canine parvovirus in fecal samples, rectal swabs, and organ fragments from dogs using transmission electron microscopy and histopathological techniques. Between 1995 and 2016, approximately 665 fecal specimens or small intestine fragments from dogs with diarrhea were sent to the Electron Microscopy Laboratory of the Biological Institute of São Paulo, SP, Brazil, for viral diagnosis. The samples were processed using transmission electron microscopy (negative staining, immunoelectron microscopy, immunocytochemistry with colloidal gold labeling, and resin embedding) and routine histopathological techniques. Using a Philips EM 208 transmission electron microscope, all samples were analyzed by the negative staining technique. In 62 samples (9.32%), a large number of parvovirus particles were observed—non-enveloped, isometric, and characterized as "complete" and "empty," measuring approximately 20 nm in diameter. Positive results in immunoelectron microscopy were confirmed by the presence of aggregates formed through antigen-antibody interactions. In immunocytochemistry, the antigen-antibody reaction was strongly enhanced by dense colloidal gold particles in all 62 positive samples. Histopathological analysis revealed hemorrhagic small intestine with villous necrosis, multiple hepatic lobules with moderate vacuolar degeneration of hepatocytes, kidneys with extensive areas of cortical coagulative necrosis, severe pulmonary edema, and moderate splenic white pulp reaction.

Keywords: Clinical cases, Anatomopathology, Dog disease

References

1. Abhiram, S., Mondal, T., Samanta, S., Batabyal, K., Joardar, S. N., Samanta, I., Isore, D. P., & Dey, S. (2023). Occurrence of canine parvovirus type 2c in diarrhoeic faeces of dogs in Kolkata, India. VirusDisease, 34(2), 339–344.
2. Al-Bayati, H. A., Odisho, S. M., & Al-hammed, H. A. (2016). Study the histopathological changes accompanied with canine parvovirus infection. *AL-Qadisiyah Journal of Veterinary Medicine Science, 15*(2), 114–118.
3. Appel, M. J., & King, D. A. (1992). Canine parvovirus. In E. L. Biberstein & Y. C. Zee (Eds.), Review of veterinary microbiology (pp. 138–141). Mosby Year Book.
4. Areshkumar, M., Vijayalakshmi, P., & Selvi, D. (2018). Electron microscopic detection of canine parvovirus in the faeces of dogs. International Journal of Current Microbiology and Applied Sciences, 7(5), 3024–3027.
5. Bennett, A., McKenna, R., & Agbandje-McKenna, M. (2008). A comparative analysis of the structural architecture of ssDNA viruses. Computational and Mathematical Methods in Medicine, 9(3–4), 183–196.
6. Berthiaume, A. R., Malaughlin, B., Payment, P., & Trepainer, P. (1981). Rapid detection of human viruses in feces by a simple and routine immune electron microscopy technique. Journal of General Virology, 55(1), 223–227.
7. Biezus, G., Casagrande, R. A., Ferian, P. E., Luciani, M. G., de Souza, J. R., de Cristo, T. G., Dal Pozo, S. D., & Vargas, C. B. (2018). Ocorrência de parvovirose e cinomose em cães no Planalto Catarinense. Revista de Ciências Agroveterinárias, 17(3), 396–401.
8. Brenner, S., & Horne, R. W. (1959). A negative staining method for high resolution electron microscopy of viruses. Biochimica et Biophysica Acta, 34, 103–110.
9. Buonavoglia, C., Martella, V., Pratelli, A., Tempesta, M., Cavalli, A., Buonavoglia, D., Bozzo, G., Elia, G., Decaro, N., & Carmichael, L. E. (2001). Evidence for evolution of canine parvovirus type-2 in Italy. Journal of General Virology, 82(6), 1555–1560.
10. Cappellaro, C. E. M. P. D. M., Hagiwara, M. K., Catroxo, M. H. B., Mueller, S. B. K., & Carvalho, O. M. (1995). Detecção eletrono-microscópica da associação parvovírus-Mycoplasma spp. num surto de diarreia em cães. In Reunião Anual do Instituto Biológico (8th ed., Vol. 62, p. 35). Arquivos do Instituto Biológico.
11. Carmichael, L. E., Schlafer, D. H., & Hashimoto, A. (1994). Minute virus of canines (MVC, canine parvovirus type-1): Pathogenicity for pups and seroprevalence estimate. Journal of Veterinary Diagnostic Investigation, 6(2), 165–174.
12. Carpenter, J. W., & Meyer, D. J. (2003). Ferrets, rabbits, and rodents: Clinical medicine and surgery (2nd ed.). Saunders.
13. Catroxo, M. H. B., Martins, A. M. C. R. P. F., Souza, F., Nastari, B. B., Raniel, H. C. F., & Morais, A. C. S. (2013). Canine parvoviruses: Rapid diagnostic by transmission electron microscopy techniques. In XXIV Congresso da Sociedade Brasileira de Microscopia e Microanálise (pp. 1–2). Caxambu, MG, Brazil.
14. Catroxo, M. H. B., Del Fava, C., Loiacomo, W. V. B., Bertolini, R. S., Justino, D. M., Moura, T. P. S., Souza, F., & Queiroz, F. F. (2015). Surto de parvovirose em canil. In Reunião Anual do Instituto Biológico (28th ed., Vol. 77, p. 75). O Biológico.
15. Catroxo, M. H. B., Martins, A. M. C. R. P. F., & Pedroso, M. F. (2023). Occurrence of the distemper canine: Ultrastructural and histophatological aspects. International Journal of Environmental and Agriculture Research, 9(1), 1–10.
16. Catroxo, M. H. B., Martins, A. M. C. R. P. F., & Pedroso, M. F. (2024). Detection of coronavirus (CCoV) in dogs by transmission electron microscopy techniques. International Journal of Environmental and Agriculture Research, 10(1), 1–9.
17. Casal, J. I. (1999). Use of parvovirus-like particles for vaccination and induction of multiple immune responses. Biotechnology and Applied Biochemistry, 29(2), 141–150.
18. Castillo, C., Neira, V., Aniñir, P., Grecco, S., Pérez, R., Panzera, Y., Zegpi, N. A., Sandoval, A., Sandoval, D., Cofre, S., & Ortega, R. (2020). First molecular identification of canine parvovirus type 2 (CPV2) in Chile reveals high occurrence of CPV2c antigenic variant. Frontiers in Veterinary Science, 7, 194, 1–5.
19. Castro, T. X., Miranda, S. C., Labarthe, N. V., Silva, L. E., & Garcia, R. C. N. C. (2007). Clinical and epidemiological aspects of canine parvovirus (CPV) enteritis in the State of Rio de Janeiro: 1995–2004. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 59(2), 333–339.
20. Charoenkul, K., Thaw, Y. N., Phyu, E. M., Jairak, W., Nasamran, C., Chamsai, E., Chaiyawong, S., & Amonsin, A. (2024). First detection and genetic characterization of canine bufavirus in domestic dogs, Thailand. Nature, 14, 4773, 1–11.
21. Decaro, N., & Buonavoglia, C. (2012). Canine parvovirus—A review of epidemiological and diagnostic aspects, with emphasis on type 2c. Veterinary Microbiology, 155(1), 1–12.
22. Del Amo, A. N., Aprea, A. N., & Petruccelli, M. A. (1999). Detection of viral particles in feces of young dogs and their relationship with clinical signs. Revista de Microbiologia, 30(3), 237–241.
23. Dezengrini, R., Weiblen, R., & Flores, E. F. (2007). Soroprevalência das infecções por parvovírus, adenovírus, coronavírus canino e pelo vírus da cinomose em cães de Santa Maria, Rio Grande do Sul, Brasil. Ciência Rural, 37(1), 183–189.
24. Doane, F. W., & Anderson, M. (1987). Electron microscopy in diagnostic virology: A practical guide and atlas. Cambridge University Press.
25. Drane, D. P., Hamilton, R. C., & Cox, J. C. (1994). Evaluation of a novel diagnostic test for canine parvovirus. Veterinary Microbiology, 41(3), 293–302.
26. Durigon, E. D., Angelo, M. J. O., Jerez, J. A., Tanaka, H., & Hagiwara, M. K. (1987). Comparison between hemagglutination reaction, virus isolation in celular culture, immunoelectroosmophoresis and electronic immunoelectronmicroscopy for diagnosis of canine parvovirus. Revista de Microbiologia, 18(3), 205–210.
27. Fagbohun, A. A., Jarikre, T. A., Alaka, O. O., Adesina, R. D., Ola, O. O., Afolabi, M., Oridupa, O. A., Omobowale, T. O., & Emikpe, B. O. (2020). Pathology and molecular diagnosis of canine parvoviral enteritis in Nigeria: Case report. Comparative Clinical Pathology, 29, 887–893.
28. Feng, H., Hu, G.-Q., Wang, H.-L., Liang, M., Liang, H., Guo, H., Zhao, P., Yang, Y.-J., Zheng, X.-X., Zhang, Z.-F., Zhao, Y.-K., Gao, Y.-W., Yang, S.-T., & Xia, X.-Z. (2014). Canine parvovirus VP2 protein expressed in silkworm pupae self-assembles into virus-like particles with high immunogenicity. PLOS ONE, 9(1), e79575, 1–6.
29. Finlaison, D. S. (1995). Faecal viruses of dogs - an electron microscope study. Veterinary Microbiology, 46(4), 295–305.
30. Fontana, D. S., Rocha, P. R. D., Cruz, R. A. S., Lopes, L. L., Melo, A. L. T., Silveira, M. M., Aguiar, D. M., & Pescador, C. A. (2013). A phylogenetic study of canine parvovirus type 2c in midwestern Brazil. Pesquisa Veterinária Brasileira, 33(2), 214–218.
31. Fu, P., He, D., Cheng, X., Niu, X., Wang, C., Fu, Y., Li, K., Zhu, H., Lu, W., Wang, J., & Chu, B. (2022). Prevalence and characteristics of canine parvovirus type 2 in Henan Province, China. Microbiology Spectrum, 10(6), 1–20.
32. González-Santander, R. (1969). Técnicas de microscopia electrónica em biología. Aguilar.
33. Harrison, L. R., Styer, E. L., Pursell, A. R., Carmichael, L. E., & Nietfeld, J. C. (1992). Fatal disease in nursing puppies associated with minute virus of canines. Journal of Veterinary Diagnostic Investigation, 4(1), 19–22.
34. Hayat, M. A., & Miller, S. E. (1990). Negative staining. McGraw-Hill.
35. Headley, S. A., Oliveira, T. E. S., Pereira, A. H. T., Moreira, J. R., Michelazzo, M. M. Z., Pires, B. G., Marutani, V. H. B., Xavier, A. A. C., Di Santis, G. W., Garcia, J. L., & Alfieri, A. A. (2018). Canine morbillivirus (canine distemper virus) with concomitant canine adenovirus, canine parvovirus-2, and Neospora caninum in puppies: A retrospective immunohistochemical study. Scientific Reports, 8(1), 13477.
36. Hong, C., Decaro, N., Desario, C., Tanner, P., Pardo, M. C., Sanchez, S., Buonavoglia, C., & Saliki, J. T. (2007). Occurrence of canine parvovirus type 2c in the United States. Journal of Veterinary Diagnostic Investigation, 19(5), 535–539.
37. Hurtado, A., Rueda, P., Nowicky, J., Sarraseca, J., & Casal, I. (1996). Identification of domains in canine parvovirus VP2 essential for the assembly of virus-like particles. Journal of Virology, 70(8), 5422–5429.
38. Jaune, F. W., Taques, I. I. G. G., Costa, J. S., Araújo, J. P., Jr., Catroxo, M. H. B., Nakazato, L., & de Aguiar, D. M. (2019). Isolation and genome characterization of canine parvovirus type 2c in Brazil. Brazilian Journal of Microbiology, 50, 329–333.
39. Karasaki, S. (1966). Size and ultrastructure of the H-viruses as determined with the use of specific antibodies. Journal of Ultrastructure Research, 16(1–2), 109–122.
40. Katz, D., & Kohn, A. (1984). Immunosorbent electron microscopy for detection of viruses. Advances in Virus Research, 29, 169–194.
41. Khatri, R., Poonam, Mohan, H., & Minakshi, C. S. P. (2017). Epidemiology, pathogenesis, diagnosis and treatment of canine parvovirus disease in dogs: A mini review. Journal of Veterinary Science and Medical Diagnosis, 6(3), 2–7.
42. Knutton, S. (1995). Electron microscopical methods in adhesion. Methods in Enzymology, 253, 145–158.
43. Kumari, G. D., Pushpa, R. N. R., Subramanyam, K. V., Rao, T. S., & Satheesh, K. (2020). Detection of canine parvovirus (CPV) circulating strains in Andhra Pradesh by employing multiplex PCR and restriction fragment length polymorphism-PCR. Haryana Veterinarian, 59(2), 178–181.
44. Larson, L., Miller, L., Margiasso, M., Piontkowski, M., Tremblay, D., Dykstra, S., Miller, J., Slagter, B. J., Champ, D., Keil, D., Patel, M., & Wasmoen, T. (2024). Early administration of canine parvovirus monoclonal antibody prevented mortality after experimental challenge. Journal of the American Veterinary Medical Association, 262(4), 506–512.
45. Licitra, B. N., Duhamel, G. E., & Whittaker, G. R. (2014). Canine enteric coronaviruses: Emerging viral pathogens with distinct recombinant spike proteins. Viruses, 6(8), 3363–3376.
46. Magouz, A., El-Kon, I., Raya-Álvarez, E., Khaled, E., Alkhalefa, N., Alhegaili, A. S., El-khadragy, M. F., Agil, A., & Elmahallawy, E. K. (2023). Molecular typing of canine parvovirus type 2 by VP2 gene sequencing and restriction fragment length polymorphism in affected dogs from Egypt. Frontiers in Microbiology, 14, 1254060, 1–11.
47. Martinello, F., Galuppo, F., Ostanello, F., Guberti, V., & Prosperi, S. (1997). Detection of canine parvovirus in wolves from Italy. Journal of Wildlife Diseases, 33(3), 628–631.
48. Martins, A. P., Simon, A. B., Sousa, D. S., Borges, K. I. N., Ramos, D. G. S., & Braga, I. A. (2017). Detecção do parvovírus canino em cães do município de Mineiros, Goías, Brasil. In II Colóquio Estadual de Pesquisa Multidisciplinar. Unifimes.
49. Mattola, S., Salokas, K., Aho, V., Mantyla, E., Salminen, S., Hakanen, S., Niskanen, E. A., Svirskaite, J., Ihalainen, T. O., Airenne, K. J., Kaikkonen-Maatta, M., Parrish, C. R., Varjosalo, M., & Vihinen-Ranta, M. (2022). Parvovirus nonstructural protein 2 interacts with chromatin-regulating cellular proteins. PLOS Pathogens, 18(4), e1010353, 1–21.
50. Melo, T. F., Abreu, C. B., Hirsch, C., Muzzi, R. A. L., & Peconick, A. P. (2021). Parvovirose canina: uma revisão de literatura. Nature and Resources, 11(3), 5–58.
51. Mira, F., Schiro, G., Franzo, G., Canuti, M., Purpari, G., Giudice, E., Decaro, N., Vicari, D., Antoci, F., Castronovo, C., & Guercio, A. (2024). Molecular epidemiology of canine parvovirus type 2 in Sicily, southern Italy: A geographical island, an epidemiological continuum. Heliyon, 10, e26561, 1–10.
52. McAdaragh, J. P., Nelson, D. T., Eustis, S. L., & Stotz, I. (1979). Experimental studies of canine parvovirus: Evaluation of diagnostic procedures. In 22nd Annual Proceedings of the American Association of Veterinary Laboratory Diagnosticians (pp. 405–410).
53. Moon, H. J., Chowdhury, M. Y. E., Kim, C. J., & Shin, K. S. (2013). Immunogenicity of a canine parvovirus 2 capsid antigen (VP2-S1) surface-expressed on Lactobacillus casei. Journal of Biomedical Research, 1(1), 91–98.
54. Nandy, S., & Kumar, M. (2010). Canine parvovirus: Current perspective. Indian Journal of Virology, 21(1), 31–44.
55. Nascimento, N. C., Santos, A. P., Guimarães, A. M., Sanmiguel, P. J., & Messick, J. B. (2012). Mycoplasma haemocanis – The canine hemoplasma and its feline counterpart in the genomic era. Veterinary Research, 43(66), 8–9.
56. Nelson, C. D. S., Minkkinen, E., Bergkvist, M., Hoelzer, K., Fisher, M., Bothner, B., & Parrish, C. R. (2008). Detecting small changes and additional peptides in the canine parvovirus capsid structure. Journal of Virology, 82(21), 10397–10407.
57. Oliveira, P. S. B., Cargnelutti, J. F., Masuda, E. K., Fighera, R. A., Kommers, G. D., da Silva, M. C., Weiblen, R., & Flores, E. F. (2018). Epidemiological, clinical and pathological features of canine parvovirus 2c infection in dogs from southern Brazil. Pesquisa Veterinária Brasileira, 38(1), 113–118.
58. Padrón, T. S. (1998). Técnicas de imunocitoquímica. In Técnicas básicas de microscopia eletrônica aplicadas às ciências biológicas. Rio de Janeiro.
59. Reynolds, E. S. (1963). The use of lead citrate at high pH as an electron-opaque stain in electron microscopy. Journal of Cell Biology, 17(1), 208–212.
60. Robinson, W. F., Wilcox, G. E., & Flower, R. L. P. (1980). Canine parvoviral disease: Experimental reproduction of the enteric form with a parvovirus isolated from a case of myocarditis. Veterinary Pathology, 17(5), 589–599.
61. Roseto, A., Lema, F., Cavalieri, F., Dianoux, L., Sitbon, M., Ferchal, F., Lasneret, J., & Peries, J. (1980). Electron microscopy detection and characterization of viral particles in dog stools. Archives of Virology, 66(2), 89–93.
62. Santana, W. O., Lencina, M. M., Bertolazzi, S., Silveira, S., & Streck, A. F. (2019). Parvovírus canino: uma abordagem evolutiva e clínica. Medicina Veterinária (UFRPE), 13(4), 526–533.
63. Schmitz, S., Coenen, C., Konig, M., Thiel, H.-J., & Neiger, R. (2009). Comparison of three rapid commercial canine parvovirus antigen detection tests with electron microscopy and polymerase chain reaction. Journal of Veterinary Diagnostic Investigation, 21(3), 344–345.
64. Schulz, B. S., Strauch, C., Mueller, R. S., & Hartmann, K. (2008). Comparison of the prevalence of enteric viruses in healthy dogs and those with acute haemorrhagic diarrhoea by electron microscopy. Journal of Small Animal Practice, 49(2), 84–88.
65. Sherding, R. (1992). Enfermedades del intestino delgado. In S. J. Ettinger (Ed.), Tratado de medicinas interna veterinaria (pp. 1392–1467). Intermédica.
66. Silva, L. M. N., Santos, M. R., Carvalho, J. A., Carvalho, O. V., Favarato, E. S., Fietto, J. L. R., Bressan, G. C., & Silva-Júnior, A. (2022). Molecular analysis of the full-length VP2 gene of Brazilian strains of canine parvovirus 2 shows genetic and structural variability between wild and vaccine strains. Virus Research, 313, 198746, 1–11.
67. Singh, M., Manikandan, R., De, U. K., Chander, V., Paul, B. R., Ramakrishnan, S., & Darshini, M. (2022). Canine parvovirus-2: An emerging threat to young pets. In C. E. Fonseca-Alves (Ed.), Recent advances in canine medicine (pp. 1–27). InTechOpen.
68. Souto, E. P. F., Olinda, R. G., Almeida, D. B. B., Rolim, V. M., Driemeier, D., Nobre, V. M. T., Riet-Corrêa, F., & Dantas, A. F. M. (2018). Surto de parvovirose cardíaca em filhotes de cães no Brasil. Pesquisa Veterinária Brasileira, 38(1), 94–98.
69. Suikkanen, S., Sääjärvi, K., Hirsimäki, J., Välilehto, O., Reunanen, H., Vihinen-Ranta, M., & Vuento, M. (2002). Role of recycling endosomes and lysosomes in dynein-dependent entry of canine parvovirus. Journal of Virology, 76(9), 4401–4411.
70. Suikkanen, S., Aaltonen, T., Nevalainen, M., Välilehto, O., Lindholm, L., Vuento, M., & Vihinen-Ranta, M. (2003). Exploitation of microtubule cytoskeleton and dynein during parvoviral traffic toward the nucleus. Journal of Virology, 77(19), 10270–10279.
71. Ulas, N., Ozkanlar, Y., Ozkanlar, S., Timurkan, M. O., & Aydin, H. (2024). Clinical and inflammatory response to antiviral treatments in dogs with parvoviral enteritis. Journal of Veterinary Science, 25(1), e11, 1–16.
72. Vural, S. A., & Alcigir, G. (2011). Histopathological and immunohistological findings in canine parvoviral infection: Diagnosis application. Revue de Médecine Vétérinaire, 162(2), 59–64.
73. Watson, M. L. (1958). Staining of tissue for electron microscopy with heavy metals. Journal of Biophysical and Biochemical Cytology, 4(4), 475–478.
74. Zhao, Y., Lin, Y., Zeng, X., Lu, C., & Hou, J. (2013). Genotyping and pathobiologic characterization of canine parvovirus circulating in Nanjing, China. Virology Journal, 10(272), 1–10.
75. Zhao, Z., Liu, H., Ding, K., Peng, C., Xue, Q., Yu, Z., & Xue, Y. (2016). Occurrence of canine parvovirus in dogs from Henan province of China in 2009–2014. BMC Veterinary Research, 12, 138.
76. Zhao, S., Han, X., Lang, Y., Xie, Y., Yang, Z., Zhao, Q., Wen, Y., Xia, J., Wu, R., Huang, X., Huang, Y., Cao, S., Lan, J., Luo, L., & Yan, Q. (2023). Development and efficacy evaluation of remodeled canine parvovirus-like particles displaying major antigenic epitopes of a giant panda derived canine distemper virus. Frontiers in Microbiology, 14, 1117135, 1–12.
77. Zobba, R., Visco, S., Sotgiu, F., Parpaglia, M. L. P., Pittau, M., & Alberti, A. (2021). Molecular survey of parvovirus, astrovirus, coronavirus, and calicivirus in symptomatic dogs. Veterinary Research Communications, 45, 31–40. 

Abstract

Sugarcane (Saccharum officinarum L.) is recognized as one of the world's most important cash crops. The climatic conditions and soil types in Sudan, particularly within the central clay plains, are highly suitable for its cultivation. Organic fertilizer (compost) is a vital resource for improving soil fertility by increasing organic matter content, enhancing soil structure, and stimulating microbial activity, which collectively improve nutrient uptake and crop productivity. In contrast, urea is a synthetic nitrogen fertilizer that provides a highly concentrated and readily available source of nitrogen, a macronutrient essential for vigorous vegetative growth, tillering, and the synthesis of proteins and chlorophyll in plants. This study aimed to evaluate the effects of compost and urea fertilizer on quality of sugarcane (var. Co6806). A field experiment was conducted over two consecutive seasons (2023/24 and 2024/25) at the Research and Development Farm of the Kenana Sugar Scheme, Sudan. The treatments were arranged in a 4×4 factorial in split-plot design with four replications. Urea was assigned to the main plots at four levels (0, 119, 238, and 357 kg/ha), while compost was applied to the sub-plots at four rates (0, 12, 24, and 36 ton/ha). Data were collected on juice quality parameters (Pol%, Brix%, Fiber%, Purity%, Moisture%, and Estimated Recoverable Sucrose Content (ERSC%). The results showed that the main effects of compost and urea, both individually and in combination, on sugarcane quality parameters were non-significant across both seasons. Seasonal variation was the dominant factor influencing juice quality, indicating that environmental conditions played a greater role than fertilization in determining sucrose accumulation. Based on the results of this study, it could be recommended that to obtain high cane yield with maintained quality under similar soil and climatic conditions, the crop should be fertilized with compost at the rate of 36 tons/ha in combination with urea at the rate of 357 kg/ha.

Keywords: Sugarcane, Compost, Urea, Juice quality, Pol%, Brix%, Purity%, ERSC%, Kenana Sugar Scheme, Sudan.

References

1. Ahmed, A., Osman, M., & Ahmed, A. (2008). Effect of excessive nitrogen application on yield and quality of three sugar cane varieties. In Proceedings of the 3rd International Conference of IS (pp. 34–39). Sinai University.
2. Ahmed, N. S. E., & others. (2016). Economic analysis of the competitiveness and cropping pattern of small-scale farms in the rain-fed sector of Gadarif State-Sudan [Doctoral dissertation, Sudan University of Science and Technology].
3. Antille, D. L., Bennett, J. M., & Jensen, T. A. (2016). Soil compaction and controlled traffic considerations in Australian cotton-farming systems. Crop and Pasture Science, 67(1), 1–28.
4. Aouass, K., & Kenny, L. (2024). Effect of compost and synthetic fertilizer on soil fertility, yield and nitrogen use efficiency of broccoli crop in arid region of Morocco. Agricultural Science Digest, 44(2), 250–254.
5. Aslam, M. T., & others. (2024). Sustainable nitrogen management in sugarcane production [Manuscript in preparation].
6. Bakker, H. (2012). Sugar cane cultivation and management. Springer Science & Business Media.
7. Balaganesh, P., Vasudevan, M., Natarajan, N., & Suneeth Kumar, S. M. (2020). Evaluation of sugarcane and soil quality amended by sewage sludge derived compost and chemical fertilizer. Nature Environment and Pollution Technology, 19(4), 1737–1741.
8. Bekheet, M. A., Gadallah, A. F., & Khalifa, Y. A. (2018). Enhancement of yield and quality of sugarcane by applied nitrogen, phosphorus and filter cake. Egyptian Journal of Agronomy, 40(3), 207–221.
9. Van Beneden, S., Carrotte, J., & De Vleesschauwer, D. (2010). Microbial populations involved in the suppression of Rhizoctonia solani AG1-1B by lignin incorporation in soil. Soil Biology and Biochemistry, 42(8), 1268–1274.
10. Bokhtiar, S. M., Roksana, S., & Moslehuddin, A. Z. M. (2015). Soil fertility and productivity of sugarcane influenced by enriched pressmud compost with chemical fertilizers. SAARC Journal of Agriculture, 13(2), 183–197.
11. Bonnett, G. D., Hewitt, M. L., & Glassop, D. (2006). Effects of high temperature on the growth and composition of sugarcane internodes. Australian Journal of Agricultural Research, 57(10), 1087–1095.
12. Bottinelli, N., Hedde, M., Jouquet, P., & Capowiez, Y. (2020). An explicit definition of earthworm ecological categories—Marcel Bouché's triangle revisited. Geoderma, 372, Article 114361.
13. Caetano, J. M., da Silva, A. F., & de Oliveira, R. A. (2023). Environmental effects on sugarcane growth from on-farm data in the Brazilian Midwest. African Journal of Agricultural Research, 19(9), 825–838.
14. Canton, H. (2021). United Nations Educational, Scientific and Cultural Organization—UNESCO. In The Europa directory of international organizations 2021 (pp. 359–365). Routledge.
15. Chen, S.-K., Lee, Y.-Y., & Liao, T.-L. (2022). Assessment of ammonium–N and nitrate–N contamination of shallow groundwater in a complex agricultural region, central western Taiwan. Water, 14(13), Article 2130.
16. Desalegn, B., Gebremedhin, W., & Hailu, D. (2023). Sugarcane productivity and sugar yield improvement: Selecting variety, nitrogen fertilizer rate, and bioregulator as a first-line treatment. Heliyon, 9(4), Article e15234.
17. Devi, L., Sharma, P., & Singh, R. (2022). Role of biofertilizers in organic agriculture. A Monthly Peer Reviewed Magazine for Agriculture and Allied Sciences, 1(1), 42–45.
18. Diacono, M., & Montemurro, F. (2011). Long-term effects of organic amendments on soil fertility. In E. Lichtfouse (Ed.), Sustainable agriculture volume 2 (pp. 761–786). Springer.
19. Dotaniya, M. L., Datta, S. C., Biswas, D. R., Dotaniya, C. K., Meena, B. L., & Rajendiran, S. (2016). Use of sugarcane industrial by-products for improving sugarcane productivity and soil health. International Journal of Recycling of Organic Waste in Agriculture, 5(3), 185–194.
20. Emam, A. A., & Musa, O. M. (2011). The competitiveness of sugar cane production: A study of Kenana Sugar Company, Sudan. Journal of Agricultural Science, 3(3), 202–213.
21. Fortes, C., Vitti, A. C., & Otto, R. (2013). Contribution of nitrogen from sugarcane harvest residues and urea for crop nutrition. Scientia Agricola, 70(5), 313–320.
22. Ganawa, E., & Kheiralla, A. (2011). Adoption of GIS, GPS and RS techniques in the Sudanese sugarcane industry: Part 1—Kenana base map establishment. Khartoum University Engineering Journal, 1(1), 45–52.
23. Gebeyehu, S. A., Belay, B., & Abate, M. (2025). Impact of blended NPSB fertilizer rates on sugarcane (Saccharum officinarum L.) varieties: Seed cane yield and quality insights from North Western Ethiopia. PLOS ONE, 20(2), Article e0308900.
24. Ghallab, M., Ahmed, S., & Ibrahim, M. (2024). Influence of Spirulina extract on physiological, qualitative, and productive traits of four sugarcane genotypes. Agronomy, 14(7), Article 1594.
25. Gomez, K. A., & Gomez, A. A. (1976). Statistical procedures for agricultural research with emphasis on rice. International Rice Research Institute.
26. Gopalasundaram, P., Bhaskaran, A., & Rakkiyappan, P. (2012). Integrated nutrient management in sugarcane. Sugar Tech, 14(1), 3–20.
27. Grivet, L., Daniels, C., Glaszmann, J. C., & D'Hont, A. (2004). A review of recent molecular genetics evidence for sugarcane evolution and domestication [Manuscript submitted for publication].
28. Hamid, A., & Dagash, Y. (2014). Effects of sulfur on sugarcane yield and quality at the heavy clay soil vertisols of Sudan. Universal Journal of Applied Science, 2(3), 68–71.
29. Haug, R. (2018). The practical handbook of compost engineering. Routledge.
30. Huang, J., Khan, M. T., Perecin, D., Coelho, S. T., & Zhang, M. (2020). Sugarcane for bioethanol production: Potential of bagasse in Chinese perspective. Renewable and Sustainable Energy Reviews, 133, Article 110296.
31. Hussien, O. A. K., Gadallah, A. F., & Ibrahim, M. E. (2023). Enhancement of production and quality of sugarcane using nitrogen and vinasses. Egyptian Sugar Journal, 20, 63–76.
32. Ibrahim, T. S. T. (2020). Assessment of the Sudanese sugar industry life cycle and technical factors influencing the productivity [Doctoral dissertation, University of KwaZulu-Natal].
33. Ibrahim, T. S. T., & Workneh, T. S. (2023). The environmental impact of the sugar industry waste in Sudan. Environmental Monitoring and Assessment, 195(7), Article 870.
34. Impollonia, G., Croci, M., & Amaducci, S. (2024). Upscaling and downscaling approaches for early season rice yield prediction using Sentinel-2 and machine learning for precision nitrogen fertilisation. Computers and Electronics in Agriculture, 227, Article 109603.
35. Iqbal, I. (2018). Effect of sugarcane litter compost on soil compaction. International Journal of Agriculture System, 6(1), 35–44.
36. James, G. (2008). Sugarcane (2nd ed.). John Wiley & Sons.
37. Khan, Q., Chen, J., & Wang, L. (2023). A review of the diverse genes and molecules involved in sucrose metabolism and innovative approaches to improve sucrose content in sugarcane. Agronomy, 13(12), Article 2957.
38. Kumara, A., & Bandara, D. (2002). Effect of nitrogen fertilizer on yield and quality parameters of three sugarcane varieties [Research report]. Sugarcane Research Institute.
39. Kusumawati, A., & Noviyanto, A. (2025). Long-term effects of sugarcane monoculture on soil pedomorphology and physicochemical properties in tropical agroecosystems. Plant, Soil and Environment, 71(3), 145–158.
40. Kwong, K. F., & Pasricha, B. (2002). The effects of potassium on growth, development, yield and quality of sugarcane. In Proceedings of the International Symposium on the Role of Potassium in Nutrient Management for Sustainable Crop Production in India (pp. 430–444). Potash Research Institute.
41. Lee, H., Kim, J., & Park, S. (2023). Sugarcane wastes as microbial feedstocks: A review of the biorefinery framework from resource recovery to production of value-added products. Bioresource Technology, 376, Article 128879.
42. Lopes, C. M., Silva, A. P., & Santos, R. S. (2021). Improving the fertilizer value of sugarcane wastes through phosphate rock amendment and phosphate-solubilizing bacteria inoculation. Journal of Cleaner Production, 298, Article 126821.
43. De Luca, K., & Müller, A. (2023). Less, better and circular use – how to get rid of surplus nitrogen without endangering food security [Policy brief]. Institute for Sustainable Development.
44. de M. Sá, J. C., Cerri, C. C., Dick, W. A., Lal, R., Venske Filho, S. P., Piccolo, M. C., & Feigl, B. E. (2001). Organic matter dynamics and carbon sequestration rates for a tillage chronosequence in a Brazilian Oxisol. Soil Science Society of America Journal, 65(5), 1486–1499.
45. Mehdi, F., Galal, A., & Hassan, M. (2024). Factors affecting the production of sugarcane yield and sucrose accumulation: Suggested potential biological solutions. Frontiers in Plant Science, 15, Article 1374228.
46. Mena, A., & others. (1985). The utilization of sugar cane by-products as substitutes for cereal in animal feed [Technical report]. Food and Agriculture Organization.
47. Miháliková, M., Brtnický, M., & Kynický, J. (2025). Effect of surface-applied compost on soil properties. Soil and Water Research, 20(1), 45–56.
48. Mohamed, E. A. G. A. (2018). Determination of crop water requirements and irrigation scheduling of aerobic rice (Oryza sativa L.), Gezira State, Sudan [Doctoral dissertation, University of Gezira].
49. Mohammed, R. A. A. A. (2006). Socio-economic effects of rehabilitated desertified agricultural tenancies of north western parts of the Gezira Scheme [Doctoral dissertation, University of Khartoum].
50. Mohan, C. (Ed.). (2017). Sugarcane biotechnology: Challenges and prospects. Springer.
51. Moore, P. H., Paterson, A. H., & Tew, T. (2013). Sugarcane: The crop, the plant, and domestication. In P. H. Moore & F. C. Botha (Eds.), Sugarcane: Physiology, biochemistry, and functional biology (pp. 1–17). John Wiley & Sons.
52. Muchow, R. C., Robertson, M. J., & Wood, A. W. (1996). Effect of nitrogen on the time-course of sucrose accumulation in sugarcane. Field Crops Research, 47(2-3), 143–153.
53. Mwasinga, G. (2018). Effects of nitrogen fertilizer on yield and quality of introduced sugarcane (Saccharum officinarum L.) varieties in commercial fields at Kilombero, Morogoro Region [Master's thesis, Sokoine University of Agriculture].
54. Nair, P. N., & Sachan, H. (2022). The improvement of sugarcane (Saccharum officinarum L.) for sugar, ethanol and biofuel production through innovative biotechnology: A perspective view on its scope, importance & challenges. In R. Kumar & S. Singh (Eds.), Omics approaches for sugarcane crop improvement (pp. 233–249). CRC Press.
55. Nawaz, M., Ahmad, W., & Khan, M. A. (2017). Assessment of compost as nutrient supplement for spring planted sugarcane (Saccharum officinarum L.). Journal of Animal and Plant Sciences, 27(1), 123–130.
56. Noor, R. S., Hussain, A., & Abbas, M. (2023). Effect of compost and chemical fertilizer application on soil physical properties and productivity of sesame (Sesamum indicum L.). Biomass Conversion and Biorefinery, 13(2), 905–915.
57. Obour, A. K., Mikha, M. M., & Holman, J. D. (2017). Changes in soil surface chemistry after fifty years of tillage and nitrogen fertilization. Geoderma, 308, 46–53.
58. Otto, R., Castro, S. A. Q., & Mariano, E. (2016). Nitrogen use efficiency for sugarcane-biofuel production: What is next? Bioenergy Research, 9(4), 1272–1289.
59. Poultney, D. M., Thuriès, L., & Versini, A. (2024). Importance of overlooked crop biomass components in sugarcane nitrogen nutrition studies. Nitrogen, 5(1), 62–78.
60. Priya, E., Sarkar, S., & Maji, P. K. (2024). A review on slow-release fertilizer: Nutrient release mechanism and agricultural sustainability. Journal of Environmental Chemical Engineering, 12(4), Article 113211.
61. Raviv, M. (2013). Can the use of composts and other organic amendments in horticulture help to mitigate climate change? In II International Symposium on Organic Matter Management and Compost Use in Horticulture (Vol. 1076, pp. 19–28). ISHS.
62. Raza, Q.-U.-A., Bashir, M. A., & Rehim, A. (2021). Sugarcane industrial byproducts as challenges to environmental safety and their remedies: A review. Water, 13(24), Article 3495.
63. Reimer, M., Hartmann, T. E., & Oelbermann, M. (2023). Assessing long term effects of compost fertilization on soil fertility and nitrogen mineralization rate. Journal of Plant Nutrition and Soil Science, 186(2), 217–233.
64. Sage, R. F., Peixoto, M. M., & Sage, T. L. (2013). Photosynthesis in sugarcane. In P. H. Moore & F. C. Botha (Eds.), Sugarcane: Physiology, biochemistry, and functional biology (pp. 121–154). John Wiley & Sons.
65. Salman, M., Inamullah, & Khan, M. J. (2023). Composting sugarcane filter mud with different sources differently benefits sweet maize. Agronomy, 13(3), Article 748.
66. Sánchez-Ken, J. G. (2019). Riqueza de especies, clasificación y listado de las gramíneas (Poaceae) de México. Acta Botanica Mexicana, (126), 1–74.
67. Sathiyapriya, S., Kumar, S., & Singh, R. (2024). Nutrient recycling through composting: Harnessing agricultural wastes for sustainable crop production. Plant Science Today, 11(sp1), Article 5627.
68. Shaheb, M. R., Venkatesh, R., & Shearer, S. A. (2021). A review on the effect of soil compaction and its management for sustainable crop production. Journal of Biosystems Engineering, 46(4), 1–23.
69. Showler, A. T. (2016). Selected abiotic and biotic environmental stress factors affecting two economically important sugarcane stalk boring pests in the United States. Agronomy, 6(1), Article 10.
70. Singh, S. P., Rathore, S. S., & Singh, R. (2021). Sugarcane wastes into commercial products: Processing methods, production optimization and challenges. Journal of Cleaner Production, 328, Article 129453.
71. Skocaj, D. M., Everingham, Y. L., & Schroeder, B. L. (2013). Nitrogen management guidelines for sugarcane production in Australia: Can these be modified for wet tropical conditions using seasonal climate forecasting? Springer Science Reviews, 1(1), 51–71.
72. Solomon, S. (2016). Sugarcane production and development of sugar industry in India. Sugar Tech, 18(6), 588–602.
73. Stephen, G. S., & others. (2024). Harnessing the potential of sugarcane-based liquid byproducts—molasses and spentwash (vinasse) for enhanced soil health and environmental quality: A systematic review. Frontiers in Agronomy, 6, Article 1358076.
74. Tajmirriahi, M., Momayez, F., & Karimi, K. (2021). The critical impact of rice straw extractives on biogas and bioethanol production. Bioresource Technology, 319, Article 124167.
75. Tang, Q., Ti, C., & Xia, L. (2022). How does partial substitution of chemical fertiliser with organic forms increase sustainability of agricultural production? Science of the Total Environment, 803, Article 149933.
76. Teama, E., Gadallah, A. F., & Khalifa, Y. A. (2017). Chemical properties and juice quality of three sugarcane varieties as affected by gypsum, filter mud cake and inorganic fertilization. Assiut Journal of Agricultural Sciences, 48(4), 112–124.
77. Terefe, G., Sunil, T., & Tolera, B. (2017). In vivo propagation responses of sugarcane (Saccharum officinarum L.) genotypes at Metahara Sugar Estate of Ethiopia. Journal of Applied Biotechnology and Bioengineering, 2(5), 175–178.
78. Teshome, Z., Abejehu, G., & Hagos, H. (2014). Effect of nitrogen and compost on sugarcane (Saccharum officinarum L.) at Metahara sugarcane plantation. Advances in Crop Science and Technology, 2(5), 153–156.
79. Tew, T. L., & Cobill, R. M. (2008). Genetic improvement of sugarcane (Saccharum spp.) as an energy crop. In W. Vermerris (Ed.), Genetic improvement of bioenergy crops (pp. 273–294). Springer.
80. Thorburn, P. J., Biggs, J. S., & Webster, A. J. (2017). Prioritizing crop management to increase nitrogen use efficiency in Australian sugarcane crops. Frontiers in Plant Science, 8, Article 1504.
81. Verma, K. K., Song, X. P., & Li, Y. R. (Eds.). (2024). Sugarcane cultivation and management: Challenges and opportunities. Springer.
82. Voora, V., Bermúdez, S., & Larrea, C. (2023). Sugar cane prices and sustainability. International Institute for Sustainable Development.
83. Wright, J., Kenner, S., & Lingwall, B. (2022). Utilization of compost as a soil amendment to increase soil health and to improve crop yields. Open Journal of Soil Science, 12(6), 216–224.
84. Xu, J.-W., Martin, R. V., & Evans, G. J. (2021). Predicting spatial variations in multiple measures of oxidative burden for outdoor fine particulate air pollution across Canada. Environmental Science & Technology, 55(14), 9750–9760.
85. Yahaya, M., Falaki, A., & Busari, E. (2010). Sugarcane yield and quality as influenced by nitrogen rates and irrigation frequency. Nigerian Journal of Research, 17(2), 145–152.
86. Yang, Y., Gao, S., & Jiang, Y. (2019). The physiological and agronomic responses to nitrogen dosage in different sugarcane varieties. Frontiers in Plant Science, 10, Article 406.
87. Yousif, E., Wafaa, E. G., & EL-Bakry, A. (2021). Impact of nitrogen fertilization on yield and quality for plant cane, ratoon crop and correlation analyses of some sugarcane varieties. Direct Research Journal of Agriculture and Food Science, 9(5), 121–136.
88. Zeng, X.-P., Zhao, Y., & Li, Y. (2020). Long-term effects of different nitrogen levels on growth, yield, and quality in sugarcane. Agronomy, 10(3), Article 353. 

Abstract

Agriculture continues to play a fundamental role in sustaining the economies of many developing countries by ensuring food availability, generating rural employment, and supporting overall economic stability. Among the major agricultural economies of the world, India and China occupy a prominent position as they together account for a substantial share of the global population and agricultural production. Despite similarities in demographic pressures and dependence on agriculture, the two countries display significant differences in agricultural productivity, technological advancement, and institutional support mechanisms. This study provides a comparative analysis of agricultural production in India and China by examining production statistics, crop yields, policy reforms, and structural characteristics of the agricultural sector. The analysis reveals that while India possesses a large agricultural workforce and extensive cultivated land, China has achieved significantly higher productivity with cereal yields averaging 5,800–6,000 kg/ha compared to India's 3,000 kg/ha. China's total food grain production of approximately 695 million tonnes substantially exceeds India's 354 million tonnes. These differences are primarily attributed to China's greater investments in large-scale mechanization, stronger irrigation infrastructure, advanced agricultural research systems, and coordinated institutional reforms. The study also evaluates the impact of economic liberalization and market-oriented reforms on Indian agriculture, particularly in the context of rising input costs, market volatility, and structural constraints faced by small and marginal farmers. The findings suggest that improving agricultural productivity in India requires greater investment in agricultural research, expansion of irrigation infrastructure, promotion of farm mechanization, land consolidation, and strengthening of post-harvest supply chains.

Keywords: India-China comparison, agricultural productivity, farm mechanization, structural constraints, agricultural policy, food security

References

1. Birthal, P. S., Joshi, P. K., & Gulati, A. (2007). Vertical coordination in high-value food commodities: Implications for smallholders. Agricultural Economics, 37(1), 23–34. https://doi.org/10.1111/j.1574-0862.2007.00238.x
2. Fan, S., Gulati, A., & Thorat, S. (2008). Investment, subsidies, and pro-poor growth in rural India. Agricultural Economics, 39(2), 163–170.
3. Fan, S., & Pardey, P. G. (1997). Research, productivity, and output growth in Chinese agriculture. Journal of Development Economics, 53(1), 115–137.
4. Food and Agriculture Organization. (2019). The state of food and agriculture 2019: Moving forward on food loss and waste reduction. FAO.
5. Government of India. (2023). Agricultural statistics at a glance 2023. Directorate of Economics and Statistics, Ministry of Agriculture and Farmers Welfare.
6. Government of India. (2023). Economic survey 2022–23 (Vol. II). Ministry of Finance.
7. Huang, J., & Rozelle, S. (2018). Agricultural modernization in China. Journal of Economic Perspectives, 32(4), 153–170.
8. Lin, J. Y. (1992). Rural reforms and agricultural growth in China. American Economic Review, 82(1), 34–51.
9. Mahajan, S., Gupta, S., & Sharma, M. (2023). India vs China: Scenario of rice crop. International Journal of Agricultural and Statistical Sciences, 19(2), 629–633.
10. Ministry of Chemicals and Fertilizers. (2024). Statistics at a glance on chemical and petrochemical industry. Government of India.
11. National Bank for Agriculture and Rural Development. (2022). All India rural financial inclusion survey (NAFIS) 2021–22. NABARD.
12. National Bank for Agriculture and Rural Development. (2024). Annual report 2023–24. NABARD.
13. NITI Aayog. (2018). Doubling farmers' income: Strategy for farmers' income growth. Government of India.
14. Organisation for Economic Co-operation and Development. (2024). Agricultural policy monitoring and evaluation 2024. OECD Publishing.
15. Plant Protection, Quarantine and Storage. (2024). Statistical database on pesticide consumption in India. Directorate of Plant Protection, Government of India.
16. Reserve Bank of India. (2024). Report on trend and progress of banking in India 2023–24. RBI.
17. World Bank. (2020). Transforming agriculture for higher productivity in Asia. World Bank Group.
18. World Bank. (2024). Uttar Pradesh agriculture growth and rural enterprise ecosystem strengthening (UP-AGREES) project report (Report No. P178154). World Bank Group. 

Abstract

The present investigation was undertaken to identify promising genotypes resistant to major pests and diseases in pole-type French bean. Thirty-two genotypes were evaluated during the Rabi season of 2022–23 at the Regional Agricultural Research Station, Vijayapura, under the University of Agricultural Sciences, Dharwad, Karnataka, India. The experiment was laid out in a Randomized Complete Block Design (RCBD) with two replications under natural field conditions. Significant variation among the genotypes was observed in their response to biotic stresses. Genotypes IC-636224, IC-636225, IC-341797, IC-341922, IC-636240, IC-313309, EC-398555, IC-582514, IIHR-01, and IIHR-02 showed resistance to Fusarium wilt with 0–10% mortality. These same genotypes exhibited no symptoms of Bean common mosaic virus and were classified as immune. Similarly, genotypes IC-636224, IC-341797, IC-341807, IC-341922, IC-636240, IC-430379, IC-313309, IC-582514, IC-538073, IC-632961, IC-313320, IC-538077, IC-326977, IIHR-01, and IIHR-02 showed resistance to pod borer with 1–12% pod damage. Furthermore, genotypes IC-538077, IC-582511, IC-632961, IC-326978, IC-328398, IC-313309, IC-430379, and IC-641919 showed no aphid infestation. These lines may be effectively utilized in breeding programmes to develop new varieties with enhanced resistance to insect pests and diseases.

Keywords: Fusarium wilt, Bean common mosaic virus, Pod borer, Aphids, Pole-type French bean.

References

1. Abate, G. (2006). The market for fresh snap beans (Working paper). The Strategic Marketing Institute, Ethiopia. pp. 6–8.
2. Bharathi, V. D., Viji, C. P., Reddy, P. D., & Sravani, D. (2020). Incidence of spotted pod borer, Maruca vitrata (Geyer) in Indian bean (Lablab purpureus var. typicus) in unprotected conditions. Journal of Pharmacognosy and Phytochemistry, 9(4), 499–502.
3. Buruchara, R. A., & Camacho, L. (2000). Common bean reaction to Fusarium oxysporum f. sp. phaseoli, the cause of severe vascular wilt in Central Africa. Journal of Phytopathology, 148(1), 39–45.
4. Diwakar, M. P., & Mali, V. R. (1976). Cowpea mosaic virus, a new record for Marathwada. Journal of Maharashtra Agricultural Universities, 1(1), 74–77.
5. Duke, J. A. (1981). Handbook of world economic importance. USDA.
6. Evans, A. M. (1979). Beans (Phaseolus spp.). In Evolution of crop plants (pp. 168–172). Longman.
7. George, R. A. T. (1985). Vegetable seed production (pp. 193–207). Longman.
8. Gopalakrishnan, T. R. (2007). Vegetable crops (Vol. 4, pp. 161–168). [Publisher information missing].
9. Krishna, Y., Koteswara Rao, Y., Rao, R. S., Rajasekhar, P., & Srinivasa Rao, V. (2006). Screening for resistance against spotted pod borer, Maruca vitrata (Geyer) and Helicoverpa armigera (Hubner) in blackgram. Journal of Entomological Research, 30(1), 35–37.
10. Leakey, C. L. I. (1970). Crop improvement in East Africa: The improvement of bean (Phaseolus vulgaris L.) in East Africa. In The improvement of bean (Phaseolus vulgaris L.) in East Africa (pp. 99–101). Commonwealth Agricultural Bureaux.
11. Meena, J. K., Gupta, A., Chamola, B. P., & Pant, N. C. (2019). Studies of insect and disease incidences in French bean genotypes under net-house conditions. Journal of Entomology and Zoology Studies, 7(5), 1147–1150.
12. Nene, Y. L., Haware, M. P., & Reddy, M. V. (1981). Chickpea diseases: Resistance-screening techniques. ICRISAT Information Bulletin, 10, 1–10.
13. Neritu, J. H., Kasina, M. J., Nyamasyo, G. N., Waturu, C. N., & Aura, J. (2008). Management of thrips (Thysanoptera: Thripidae) on French beans (Fabaceae) in Kenya: Economics of insecticide applications. Journal of Entomology, 5(3), 148–155.
14. Prabhakar, B. S., Naik, L. B., Mohan, N., & Varalaxmi, B. (2016). Textbook of vegetable, tuber crops and spices (pp. 201–206). Indian Council of Agricultural Research.
15. Sahu, A., Singh, P. S., & Singh, S. K. (2021). Evaluation of certain French bean (Phaseolus vulgaris L.) genotypes against major insect pests. Journal of Experimental Zoology India, 24(2), 1167–1170.
16. Salgar, R. D., Savant, N. V., Kumbharct, V. K., Vavre, K. B., & Khadatare, R. M. (2021). Studies on bean common mosaic virus of French bean (Phaseolus vulgaris L.). Journal of Pharmaceutical Innovation, 10(12), 1793–1799.
17. Tabasia, A., Sheikh, S. K., & Singh, A. (2021). Screening of common bean genotypes for resistance against Fusarium wilt. Biological Forum – An International Journal, 13(3a), 835–839.
18. Vavilov, N. I. (1950). The origin, variation, immunity and breeding of cultivated plants. Chronica Botanica, 13, 1–364. 

Abstract

Metagenomics has emerged as a paradigm-shifting approach in microbiology, enabling direct genomic analysis of entire microbial communities from their natural environments without the constraints of laboratory cultivation. This comprehensive review synthesizes current methodologies, computational challenges, and breakthrough applications of metagenomic approaches. We examine the evolution from single-organism genomics to community-level genomic analysis, highlighting how technological advances in sequencing platforms have overcome traditional cultivation limitations. The review covers critical aspects including environmental sampling strategies, next-generation sequencing technologies, assembly algorithms, taxonomic binning approaches, and functional annotation pipelines. The profound implications for understanding microbial ecology, symbiotic relationships, and the discovery of novel gene families are discussed. Current computational challenges and emerging solutions are evaluated, along with the transformative potential of third-generation sequencing technologies. This review positions metagenomics as a foundational technology driving discoveries across environmental microbiology, clinical diagnostics, biotechnology, and our fundamental understanding of microbial contributions to planetary processes.

Keywords: metagenomics, microbial communities, environmental genomics, next-generation sequencing, taxonomic binning, functional annotation.

References

1. Savage, D. C. (1977). Microbial ecology of the gastrointestinal tract. Annual Review of Microbiology, 31, 107–133.
2. Kaput, J., Cotton, R. G., Hardman, L., Watson, M., & Al Aqeel, A. (2009). Planning the human variome project: The Spain report. Human Mutation, 30(4), 496–510.
3. O'Hara, A. M., & Shanahan, F. (2006). The gut flora as a forgotten organ. EMBO Reports, 7(7), 688–693.
4. Rappé, M. S., & Giovannoni, S. J. (2003). The uncultured microbial majority. Annual Review of Microbiology, 57, 369–394.
5. Gilbert, J. A., & Dupont, C. L. (2011). Microbial metagenomics: Beyond the genome. Annual Review of Marine Science, 3, 347–371.
6. Handelsman, J., Rondon, M. R., Brady, S. F., Clardy, J., & Goodman, R. M. (1998). Molecular biological access to the chemistry of unknown soil microbes: A new frontier for natural products. Chemistry & Biology, 5(10), R245–R249.
7. Sanger, F., Nicklen, S., & Coulson, A. R. (1977). DNA sequencing with chain-terminating inhibitors. Proceedings of the National Academy of Sciences, 74(12), 5463–5467.
8. Sorek, R., Zhu, Y., Creevey, C. J., Francino, M. P., & Bork, P. (2007). Genome-wide experimental determination of barriers to horizontal gene transfer. Science, 318(5855), 1449–1452.
9. Mitra, R. D., & Church, G. M. (1999). In situ localized amplification and contact replication of many individual DNA molecules. Nucleic Acids Research, 27(24), e34.
10. Ronaghi, M., Uhlén, M., & Nyrén, P. (1998). A sequencing method based on real-time pyrophosphate. Science, 281(5375), 363–365.
11. Batzoglou, S., Jaffe, D. B., Stanley, K., Butler, J., & Gnerre, S. (2002). ARACHNE: A whole-genome shotgun assembler. Genome Research, 12(1), 177–189.
12. Aparicio, S., Chapman, J., Stupka, E., Putnam, N., Chia, J. M., & Dehal, P. (2002). Whole-genome shotgun assembly and analysis of the genome of Fugu rubripes. Science, 297(5585), 1301–1310.
13. Myers, E. W., Sutton, G. G., Delcher, A. L., Dew, I. M., Fasulo, D. P., & Flanigan, M. J. (2000). A whole-genome assembly of Drosophila. Science, 287(5461), 2196–2204.
14. Mavromatis, K., Ivanova, N., Barry, K., Shapiro, H., Goltsman, E., & McHardy, A. C. (2007). Use of simulated data sets to evaluate the fidelity of metagenomic processing methods. Nature Methods, 4(6), 495–500.
15. Pevzner, P. A., Tang, H., & Waterman, M. S. (2001). An Eulerian path approach to DNA fragment assembly. Proceedings of the National Academy of Sciences, 98(17), 9748–9753.
16. Chaisson, M. J., & Pevzner, P. A. (2008). Short read fragment assembly of bacterial genomes. Genome Research, 18(2), 324–330.
17. Ye, Y., & Tang, H. (2009). An ORFome assembly approach to metagenomics sequences analysis. Journal of Bioinformatics and Computational Biology, 7(3), 455–471.
18. Lander, E. S., & Waterman, M. S. (1988). Genomic mapping by fingerprinting random clones: A mathematical analysis. Genomics, 2(3), 231–239.
19. Raes, J., Korbel, J. O., Lercher, M. J., von Mering, C., & Bork, P. (2007). Prediction of effective genome size in metagenomic samples. Genome Biology, 8(1), R10.
20. Yooseph, S., Li, W., & Sutton, G. (2007). Gene identification and protein classification in microbial metagenomic sequence data via incremental clustering. BMC Bioinformatics, 8(1), 182.
21. Altschul, S. F., Madden, T. L., Schäffer, A. A., Zhang, J., Zhang, Z., Miller, W., & Lipman, D. J. (1997). Gapped BLAST and PSI-BLAST: A new generation of protein database search programs. Nucleic Acids Research, 25(17), 3389–3402.
22. Azad, R. K., & Borodovsky, M. (2004). Probabilistic methods of identifying genes in prokaryotic genomes: Connections to the HMM theory. Briefings in Bioinformatics, 5(2), 118–130.
23. Teeling, H., Waldmann, J., Lombardot, T., Bauer, M., & Glöckner, F. O. (2004). TETRA: A web-service and a stand-alone program for the analysis and comparison of tetranucleotide usage patterns in DNA sequences. BMC Bioinformatics, 5(1), 163.
24. McHardy, A. C., Martín, H. G., Tsirigos, A., Hugenholtz, P., & Rigoutsos, I. (2007). Accurate phylogenetic classification of variable-length DNA fragments. Nature Methods, 4(1), 63–72.
25. Chan, C. K., Hsu, A. L., Halgamuge, S. K., & Tang, S. L. (2008). Binning sequences using very sparse labels within a metagenome. BMC Bioinformatics, 9, 215.
26. Tzahor, S., Aharonovich, D. M., Kirkup, B., Yogev, T., & Frank, I. B. (2009). A supervised learning approach for taxonomic classification of core-photosystem-II genes and transcripts in the marine environment. BMC Genomics, 10, 229.
27. Huson, D. H., Auch, A. F., Qi, J., & Schuster, S. C. (2007). MEGAN analysis of metagenomic data. Genome Research, 17(3), 377–386.
28. Brady, A., & Salzberg, S. L. (2009). Phymm and PhymmBL: Metagenomic phylogenetic classification with interpolated Markov models. Nature Methods, 6(9), 673–676.
29. Schouls, L. M., Schot, C. S., & Jacobs, J. A. (2003). Horizontal transfer of segments of the 16S rRNA genes between species of the Streptococcus anginosus group. Journal of Bacteriology, 185(24), 7241–7246.
30. DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., & Andersen, G. L. (2006). Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Applied and Environmental Microbiology, 72(7), 5069–5072.
31. Case, R. J., Boucher, Y., Dahllöf, I., Holmström, C., Doolittle, W. F., & Kjelleberg, S. (2007). Use of 16S rRNA and rpoB genes as molecular markers for microbial ecology studies. Applied and Environmental Microbiology, 73(1), 278–288.
32. Klappenbach, J. A., Saxman, P. R., Cole, J. R., & Schmidt, T. M. (2001). rrndb: The Ribosomal RNA Operon Copy Number Database. Nucleic Acids Research, 29(1), 181–184.
33. Achenbach, L. A., Carey, J., & Madigan, M. T. (2001). Photosynthetic and phylogenetic primers for detection of anoxygenic phototrophs in natural environments. Applied and Environmental Microbiology, 67(7), 2922–2926.
34. Colwell, R. K. (2005). EstimateS: Statistical estimation of species richness and shared species from samples. http://viceroy.eeb.uconn.edu/estimates/
35. Angly, F., Rodriguez-Brito, B., Bangor, D., McNairnie, P., & Breitbart, M. (2005). PHACCS, an online tool for estimating the structure and diversity of uncultured viral communities using metagenomic information. BMC Bioinformatics, 6, 41.
36. Willner, D., Furlan, M., Haynes, M., Schmieder, R., Angly, F. E., & Silva, J. (2009). Metagenomic analysis of respiratory tract DNA viral communities in cystic fibrosis and non-cystic fibrosis individuals. PLOS ONE, 4(10), e7370.
37. Gianoulis, T. A., Raes, J., Patel, P. V., Bjornson, R., Korbel, J. O., & Letunic, I. (2009). Quantifying environmental adaptation of metabolic pathways in metagenomics. Proceedings of the National Academy of Sciences, 106(5), 1374–1379.
38. Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006). An obesity-associated gut microbiome with increased capacity for energy harvest. Nature, 444(7122), 1027–1031.
39. Nishizawa, T., Okamoto, H., Konishi, K., Yoshizawa, H., Miyakawa, Y., & Mayumi, M. (1997). A novel DNA virus (TTV) associated with elevated transaminase levels in posttransfusion hepatitis of unknown etiology. Biochemical and Biophysical Research Communications, 241(1), 92–97.
40. Woyke, T., Teeling, H., Ivanova, N. N., Huntemann, M., Richter, M., & Glöckner, F. O. (2006). Symbiosis insights through metagenomic analysis of a microbial consortium. Nature, 443(7114), 950–955.
41. Edwards, R. A., & Rohwer, F. (2005). Viral metagenomics. Nature Reviews Microbiology, 3(6), 504–510.
42. Meyer, F., Paarmann, D., D'Souza, M., Olson, R., Glass, E. M., & Kubal, M. (2008). The metagenomics RAST server: A public resource for the automatic phylogenetic and functional analysis of metagenomes. BMC Bioinformatics, 9, 386.
43. Haft, D. H., Selengut, J. D., & White, O. (2003). The TIGRFAMs database of protein families. Nucleic Acids Research, 31(1), 371–373.
44. Kunik, V., Meroz, Y., Solan, Z., Sandbank, B., Weingart, U., & Ruppin, E. (2007). Functional representation of enzymes by specific peptides. PLOS Computational Biology, 3(8), e167.
45. Mitra, S., Klar, B., & Huson, D. H. (2009). Visual and statistical comparison of metagenomes. Bioinformatics, 25(14), 1849–1855.

Abstract

Radio Frequency Identification (RFID) technology is instrumental in transforming traditional university libraries into smart, automated, and user-centric environments. The traditional security system of libraries is usually based on manual inspection and access control, which leads to low security and low efficiency. Based on the intelligent perception system, the location and state of books can be monitored and controlled in real-time, so as to prevent books from being lost or stolen. By implementing self-service checkouts, real-time inventory management, and improved security measures, RFID enhances security by deterring unauthorized removal of materials and optimizes inventory management through swift, bulk item scanning. The advent of Radio Frequency Identification (RFID) technology has initiated a significant transformation in library operations. RFID, a wireless technology that utilizes electromagnetic fields, presents an innovative method for identifying and tracking library materials. RFID simplifies library operations and enhances the user experience. Its integration promotes effective resource tracking, diminishes manual workload, and aids in the digital advancement of academic libraries. Applications in various universities have illustrated RFID's contribution to improving operational efficiency and service quality, establishing it as a fundamental element in the evolution of smart university libraries. This study aims to assess user awareness of RFID technology, examine its implementation status in university libraries, identify areas of application, and evaluate its impact on library operations. The findings indicate that while 80% of users are aware of RFID technology, its implementation remains limited. Among libraries that have adopted RFID, the technology is primarily used for self-check-in/check-out (59%) and security/anti-theft purposes (41%). The majority of respondents view RFID as a crucial tool for transforming traditional libraries into smart, automated, and user-friendly environments.

Keywords: RFID, Smart Libraries, Security System, Automation, Self-Service, Inventory Management.

References

1. Agrawal, P., Prajapati, A., & Parmar, S. (2024). The integration and impact of RFID technology in modern libraries. In Advances in library and information science: A comprehensive guide (pp. 33–37). https://how2electronics.com/rfid-technology-design-types-working-applications/
2. Akhtar, M. N., Channar, G. F., Sabzwari, M. N., Batool, S., Hashmi, F. S., Aslam, M. W., & Shahzad, K. (2022). Investigating the current usage and challenges in adopting RFID technology in university libraries of Pakistan. Dialogue Social Science Review, 6(2), 1–10. https://www.thedssr.com/index.php/2/article/view/486
3. American Library Association. (2010). RFID technology for libraries. Library Technology Reports, 46(8). https://journals.ala.org/ltr/article/view/4714/5613
4. American Library Association. (2012). RFID in libraries. ALA LibGuides. https://libguides.ala.org/rfid-libraries/
5. Caldwell Stone, D. (2010). Chapter 6: RFID in libraries. Library Technology Reports, 46(8), 38. https://www.journals.ala.org/index.php/ltr/article/view/4714/5613
6. Camcode. (n.d.). What are RFID tags? Retrieved March 23, 2025, from https://www.camcode.com/blog/what-are-rfid-tags/
7. Checkpoint Systems. (n.d.). What is RFID? Retrieved March 23, 2025, from https://checkpointsystems.com/blog/what-is-rfid/
8. Encyclopaedia Britannica. (2023, December 26). RFID. In Encyclopaedia Britannica. Retrieved March 23, 2025, from https://www.britannica.com/technology/RFID
9. Ganesamoorthy, M., Venkatachalam, A. M., Selvakamal, P., & Anneruth, C. (2021). RFID technology implementation in libraries: A study. International Journal of Advanced Research and Review, 6(4), 1–7. https://www.ijarr.org/index.php/ijarr/article/view/508
10. Gartner. (n.d.). RFID reader. Gartner Glossary. Retrieved March 23, 2025, from https://www.gartner.com/en/information-technology/glossary/rfid-reader
11. Gupta, M., & Gupta, N. (2018). University libraries' use of RFID technology: An analysis. International Journal of New Media Studies, 5(2), 39–42. https://www.ijnms.com/index.php/ijnms/article/view/202
12. Gupta, P., & Margam, M. (2017). RFID technology in libraries: A review of literature of Indian perspective. DESIDOC Journal of Library & Information Technology, 37(1), 58–64. https://doi.org/10.14429/djlit.37.1.10772
13. IoT Journey. (n.d.). What is RFID technology – A definition and how it works. Orange. Retrieved March 23, 2025, from https://iotjourney.orange.com/en/support/faq/what-is-rfid-technology-a-definition-and-how-it-works#A
14. Kavulya, J. (2019). Use of RFID technology in libraries: A perspective from the Catholic University of Eastern Africa (CUEA), Nairobi. Catholic University of Eastern Africa. https://repository.cuea.edu/items/3c49a20f-90cc-4e2e-b938-8f68894cc773
15. Lise Edu Network. (2023, June 23). The impact of RFID technology on library inventory management and user experience. https://www.lisedunetwork.com/the-impact-of-rfid-technology-on-library-inventory-management-and-user-experience/
16. Mojjada, H. (2022). Integration and execution of RFID technology in academic libraries: A study. Journal of Emerging Technologies and Innovative Research, 9(9), 386–391. https://www.jetir.org/papers/JETIR2209360.pdf
17. Mount Carmel College. (n.d.). RFID – Library. Retrieved March 23, 2025, from https://mountcarmelcollege.ac.in/library/rfid/
18. Rajeshwari, S. M. (2017). RFID technology: Mechanism and usage in library. [Journal Name Missing], 7(4), 131–[page range missing].
19. RFID Card Factory. (2025, January 7). Revolutionizing libraries: The impact and evolution of RFID technology in modern library management. https://www.rfidcardfactory.com/blog/revolutionizing-libraries-the-impact-and-evolution-of-rfid-technology-in-modern-library-management_b368
20. RFID Journal. (2005, January 18). The history of RFID technology. https://www.rfidjournal.com/expert-views/the-history-of-rfid-technology/76202/
21. Singh, D. (2022). Use of RFID system and improvement in [Library Services]. International Journal of Research in Library Science, 8(1). https://www.ijrls.in/wp-content/uploads/2022/03/ijrls-1522.pdf
22. The Times of India. (2025, February 26). BHU rolls out smart ID cards for students. The Times of India. https://timesofindia.indiatimes.com/city/varanasi/bhu-rolls-out-smart-id-cards-for-students/articleshow/122167426.cms
23. The Times of India. (2025, March 5). RPCAU’s central library becomes fully automated to have collection of 5 lakh books and journals. The Times of India. https://timesofindia.indiatimes.com/city/patna/rpcaus-central-library-becomes-fully-automated-to-have-collection-of-5-lakh-books-and-journals/articleshow/123365112.cms
24. WIRED. (2002, May 20). Tagging books to prevent theft. WIRED. https://www.wired.com/2002/05/tagging-books-to-prevent-theft
25. Yu, S. C. (2008). RFID implementation and benefits in libraries. The Electronic Library, 26(1), 54–64. https://doi.org/10.1108/02640470810851747.

Abstract

Antimicrobial resistance (AMR) among bacterial pathogens has emerged as a serious global concern, posing significant challenges to both human and animal health. The continuous rise in resistant strains has reduced the effectiveness of conventional antibiotics, necessitating the development of alternative and sustainable antimicrobial strategies. In this context, nanotechnology has gained considerable attention due to its potential applications in biomedical and veterinary sciences. The present study aimed to synthesize silver nanoparticles (AgNPs) using an aqueous extract of Spirulina maxima through an eco-friendly green synthesis approach and to evaluate their antibacterial efficacy. The biosynthesis of silver nanoparticles was indicated by a distinct colour change from pale yellow to dark brown due to the reduction of silver ions. The synthesized nanoparticles were characterized using dynamic light scattering (DLS) to determine particle size distribution and stability. The antibacterial activity of the synthesized AgNPs was assessed against Staphylococcus spp. using the agar well diffusion method at different concentrations (20, 40, 60, and 80 µL). The results revealed a clear concentration-dependent increase in antibacterial activity, with zones of inhibition measuring 8 mm, 10 mm, 12 mm, and 14 mm, respectively. The standard antibiotic ciprofloxacin exhibited a zone of inhibition of 16 mm, whereas the algal extract alone showed negligible activity. The findings of this study demonstrate that Spirulina maxima-mediated silver nanoparticles possess significant antibacterial potential and could serve as an eco-friendly and sustainable alternative to conventional antimicrobial agents. Further investigations are warranted to explore their mechanisms of action and practical applications in veterinary and biomedical fields.

Keywords: Silver nanoparticles, Spirulina maxima, Green synthesis, Antibacterial activity, Antimicrobial resistance, Nanotechnology.

References

1. Ahmed, S., Ahmad, M., Swami, B. L., & Ikram, S. (2016). A review on plant extract mediated synthesis of silver nanoparticles for antimicrobial applications. Journal of Advanced Research, 7(1), 17–28.
2. Durán, N., Durán, M., de Jesus, M. B., Seabra, A. B., Fávaro, W. J., & Nakazato, G. (2016). Silver nanoparticles: A new view on mechanistic aspects of antimicrobial activity. Nanomedicine, 12(3), 789–799.
3. El-Rafie, H. M., El-Rafie, M. H., & Zahran, M. K. (2014). Green synthesis of silver nanoparticles using algae. International Journal of Advanced Research, 2(6), 100–110.
4. Franci, G., Falanga, A., Galdiero, S., Palomba, L., Rai, M., Morelli, G., & Galdiero, M. (2015). Silver nanoparticles as potential antibacterial agents. Molecules, 20(5), 8856–8874.
5. Ghosh, S., Patil, S., Ahire, M., Kitture, R., Kale, S., Pardesi, K., Cameotra, S. S., Bellare, J., Dhavale, D. D., Jabgunde, A., & Chopade, B. A. (2012). Synthesis of silver nanoparticles using biological systems and their antimicrobial activity. Applied Nanoscience, 2(2), 163–170.
6. Iravani, S. (2011). Green synthesis of metal nanoparticles using plants. Green Chemistry, 13(10), 2638–2650.
7. Kim, J. S., Kuk, E., Yu, K. N., Kim, J. H., Park, S. J., Lee, H. J., Kim, S. H., Park, Y. K., Park, Y. H., Hwang, C. Y., Kim, Y. K., Lee, Y. S., Jeong, D. H., & Cho, M. H. (2007). Antimicrobial effects of silver nanoparticles. Nanomedicine: Nanotechnology, Biology and Medicine, 3(1), 95–101.
8. Lara, H. H., Garza-Treviño, E. N., Ixtepan-Turrent, L., & Singh, D. K. (2011). Silver nanoparticles are broad-spectrum bactericidal and virucidal compounds. Journal of Nanobiotechnology, 9, Article 30.
9. Morones, J. R., Elechiguerra, J. L., Camacho, A., Holt, K., Kouri, J. B., Ramírez, J. T., & Yacaman, M. J. (2005). The bactericidal effect of silver nanoparticles. Nanotechnology, 16(10), 2346–2353.
10. Priyadarshini, S., & Rath, B. (2012). Bioactive compounds of Spirulina: A review. Journal of Applied Phycology, 24(4), 671–684.
11. Rai, M., Yadav, A., & Gade, A. (2009). Silver nanoparticles as a new generation of antimicrobials. Biotechnology Advances, 27(1), 76–83.
12. Singh, P., Kim, Y. J., Zhang, D., & Yang, D. C. (2016). Biological synthesis of nanoparticles from plants and microorganisms. Trends in Biotechnology, 34(7), 588–599.
13. Ventola, C. L. (2015). The antibiotic resistance crisis: Causes and threats. Pharmacy and Therapeutics, 40(4), 277–283.
14. World Health Organization. (2014). Antimicrobial resistance: Global report on surveillance. WHO Press. 

Abstract

Information is essential for every person in the modern era. Information is known as knowledge, and the library plays a vital role in society by providing access to this knowledge. College students of every institution need regular updates of information for the progress of their respective fields. This study focuses on students from Apex Institute of Agriculture and Research (AIAR) and Apex Paramedical College (APC) in Kota, India. The questionnaire method was used to gather information from agriculture and paramedical stream students regarding digital access and information-seeking behavior of library users. This study examines the library IT infrastructure, e-library facilities, library timings, library management systems (LMS), use of library services, library collection development, research and training activities, online learning and information platforms, user satisfaction, and reference services. A total of 180 questionnaires were distributed to students across four programs (B.Sc. Agriculture, D.Pharma, BMLT, and DRT), with 105 responses received (58.33% response rate). The findings reveal that the majority of students (53.33%) visit the library daily, with most spending one hour (54%) in the library primarily for borrowing books (35%). Students expressed high satisfaction with library facilities including seating (91%), lighting (100%), drinking water (83%), and ventilation (81%). Keyword search (82%) is the preferred search technique, and full-text databases (40%) are the most commonly used. The study concludes that users are highly satisfied with the library resources, services, and physical facilities, and recommends improvements such as e-book facilities, OPAC access, and professional training programs for students.

Keywords: Apex Institute of Agriculture and Research (AIAR), Information Communication Technology (ICT), Electronic and Digital Library, Agri-Community, Diploma in Pharmacy (D.Pharma), Bachelor of Medical Laboratory Technology (BMLT), Diploma in Radiation Technology (DRT), Online Public Access Catalogue (OPAC).

References

References not available

Abstract

Erionota thrax (Banana Skipper) is an important lepidopteran pest under the Hesperiidae family causing considerable yield loss of banana. In the present investigation, the potential of methoxyfenozide, which is an important Insect Growth Regulator (IGR) mimicking ecdysteroid hormone, has been evaluated. IGRs generally interfere with metamorphosis or reproduction of insects. IGRs have a tremendous role as third-generation pesticides and are also used as probes to elucidate the role of hormones in basic insect physiology. The efficacy of IGRs provides new strategies in Integrated Pest Management (IPM) Programmes. In the present study, methoxyfenozide treatments produced defective moulting, sclerotization of the cuticle, prolapse of the rectum, and lethality in the larvae of Banana Skipper.

Keywords: IGRs, Integrated Pest Management, Metamorphosis, Moulting, Sclerotization, Rectal Prolapse.

References

1. BenchChem. (2025). Tebufenozide vs. methoxyfenozide: A comparative guide to insect control efficacy. Retrieved March 30, 2026, from https://www.benchchem.com/product/b1682728#tebufenozide-vs-methoxyfenozide-forinsect-control-efficacy
2. Carlson, G. R., Dhadialla, T. S., Hunter, R., Jansson, R. K., Jany, C. S., Lidert, Z., & Slawecki, R. A. (2001). The chemical and biological properties of methoxyfenozide, a new insecticidal ecdysteroid agonist. Pest Management Science, 57(2), 115–119.
3. Carton, B., Smagghe, G., Mourad, A. K., & Tirry, L. (1998). Effects of RH-2485 on larvae and pupae of Spodoptera exigua (Hubner). Proceedings of the 50th International Symposium on Crop Protection, 63(2b), 537–545.
4. Carton, B., Smagghe, G., & Tirry, L. (2003). Toxicity of two ecdysone agonists, halofenozide and methoxyfenozide, against the multicoloured Asian lady beetle Harmonia axyridis (Col., Coccinellidae). Journal of Applied Entomology, 127(4), 240–242.
5. Darvas, B., Pap, L., Kelemen, M., & Polgar, L. A. (1998). Synergistic effects of verbutin with dibenzoylhydrazine-type ecdysteroid agonists on larvae of Aedes aegypti (Diptera: Culicidae). Journal of Economic Entomology, 91(6), 1260–1264.
6. Davis, C. J., & Kawamura, K. (1975). Notes and exhibitions: Erionota thrax L. Proceedings of the Hawaiian Entomological Society, 22(1), 21.
7. El-Shewy, A. M., Hamouda, S. S. A., Gharib, A. M., & Gad, H. A. (2024). Potential of insect growth regulators for the control of Musca domestica (Diptera: Muscidae) with respect to their biochemical and histological effects. Journal of Basic and Applied Zoology, 85(1), Article 43.
8. Fatma, S. A., Yasser, S. H., & Walid, S. H. (2022). Toxicity and biochemical impact of methoxyfenozide/spinetoram mixture on susceptible and methoxyfenozide-selected strains of Spodoptera littoralis (Lepidoptera: Noctuidae). Scientific Reports, 12, Article 6974.
9. Kumar, K., & Santharam, G. (2008). Toxicity of RH-2485 (Methoxyfenozide 20F) against Helicoverpa armigera (Hub.). Journal of Biopesticides, 1(2), 199–200.
10. Retnakaran, A., Gelbic, I., Sundaram, M., Tomkins, W., Ladd, T., Primavera, M., Feng, Q., Arif, B., Palli, R., & Krell, P. (2001). Mode of action of ecdysone agonist tebufenozide (RH 5992) and an exclusion mechanism to explain resistance to it. Pest Management Science, 57(10), 951–957.
11. Retnakaran, A., MacDonald, J. A., Tomkins, W. L., Davis, C. N., Brownwright, A. J., & Palli, S. R. (1997). Ultrastructural effects of a non-steroidal ecdysone agonist, RH-5992, on the sixth instar larva of the spruce budworm, Choristoneura fumiferana. Journal of Insect Physiology, 43(1), 55–68.
12. Riddiford, L. M. (1994). Cellular and molecular actions of juvenile hormone I. General considerations and premetamorphic actions. Advances in Insect Physiology, 24, 213–274.
13. Stará, J., Ouredníčková, J., & Kocourek, F. (2011). Laboratory evaluation of the side effects of insecticides on Aphidius colemani (Hymenoptera: Aphidiidae), Aphidoletes aphidimyza (Diptera: Cecidomyiidae), and Neoseiulus cucumeris (Acari: Phytoseiidae). Journal of Pest Science, 84(1), 25–31.
14. Sanjay, K., Roopa, R. S., Manu, S., Sarita, K., & Arvind, K. S. (2025). Methoxyfenozide as a potent insect growth regulator: Disruption of growth, development and chitin synthesis in Aedes aegypti for sustainable vector control. Journal of Applied and Natural Science, 17(2), 951–960.
15. Truman, J. W., Rountree, D. B., & Reiss, S. E. (1983). Ecdysteroids regulate the release and action of eclosion hormone in the tobacco hornworm, Manduca sexta (L.). Journal of Insect Physiology, 29(12), 895–900.
16. Zárate, N., Díaz, O., Martínez, A. M., Figueroa, J. I., Schneider, M. I., Smagghe, G., Viñuela, E., Budia, F., & Pineda, S. (2011). Lethal and sublethal effects of methoxyfenozide on the development, survival and reproduction of the fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae). Neotropical Entomology, 40(1), 129–137.
17. Žitňanová, I., Adams, M. E., & Žitňan, D. (2001). Dual ecdysteroid action on the epitracheal glands and central nervous system preceding ecdysis of Manduca sexta. Journal of Experimental Biology, 204(20), 3483–3495. 

Abstract

Herbal medicine has served as a cornerstone of healthcare for thousands of years, with plant-derived remedies forming the basis of many traditional healing systems worldwide. Even today, a significant proportion of the global population relies on medicinal plants for primary healthcare, and nearly 25% of modern pharmaceuticals originate directly or indirectly from plant compounds. The growing demand for natural therapeutics, combined with the limitations of synthetic drugs, has renewed global interest in herbal medicine. However, challenges such as variability in plant composition, lack of scientific validation, and limited regulatory frameworks have restricted its broader integration into modern healthcare systems. Advances in biotechnology are playing a crucial role in overcoming these limitations by enabling the identification, characterization, and large-scale production of bioactive compounds from medicinal plants. Modern tools such as genomics, transcriptomics, and metabolomics provide deeper insights into metabolic pathways responsible for therapeutic compounds, thereby facilitating drug discovery and standardization of herbal products. Biotechnological techniques including DNA barcoding, chromatographic analysis, chemometrics, and Good Manufacturing Practices (GMP) ensure authenticity, quality control, and safety of herbal formulations. Furthermore, plant tissue culture technologies allow sustainable production of valuable secondary metabolites, reducing pressure on endangered medicinal plant species. Emerging approaches such as pharmacogenomics and personalized medicine are further enhancing the potential of plant-based therapeutics by tailoring treatments according to individual genetic profiles. In addition, bioassays and cell-based assays provide scientific validation of herbal extracts by evaluating their pharmacological activity at the cellular and molecular levels. Overall, the integration of traditional herbal knowledge with modern biotechnological tools offers a promising pathway for the development of safe, effective, and standardized plant-based medicines. Such interdisciplinary approaches will play a vital role in advancing herbal therapeutics and strengthening their contribution to future global healthcare systems.

Keywords: Herbal medicine; Medicinal plants; Biotechnology; Bioactive compounds; Genomics; Transcriptomics; Metabolomics; Pharmacogenomics; Secondary metabolites; Tissue culture; Drug discovery; Personalized medicine; Quality control; Bioassays.

References

1. World Health Organization. (2013). WHO traditional medicine strategy: 2014–2023. World Health Organization.
2. Shennong, B. C. J. (ca. 2700 BCE). Shennong ben cao jing [Classic of materia medica] [Unpublished manuscript].
3. Ebers Papyrus. (ca. 1550 BCE). Ebers papyrus [Manuscript]. University of Leipzig Library.
4. Charaka. (ca. 1000 BCE). Charaka samhita [Unpublished manuscript]. Ayurveda Classics.
5. Sushruta. (ca. 1000 BCE). Sushruta samhita [Unpublished manuscript]. Ayurveda Classics.
6. Dioscorides, P. (77 CE). De materia medica [Unpublished manuscript].
7. Avicenna. (1025). The canon of medicine [Unpublished manuscript].
8. Culpeper, N. (1653). The English physician. Peter Cole.
9. Masoodi, K. Z., Wani, W., Dara, Z. A., Mansoora, S., Anam-ul-Haq, S., Farooq, I., & Ahmed, N. (Year). Sea buckthorn (Hippophae rhamnoides L.) inhibits cellular proliferation, wound healing, and decreases expression of prostate specific antigen in prostate cancer cells in vitro. [Journal name, volume(issue), page range missing].
10. Dehghan, A. K., Zargar, M., Bamneshin, M., Mahmoudieh, M., Safaie, N., Yang, J. L., & Naghavi, M. R. (Year). The effects of Fusarium graminearum cell extracts and culture filtrates on the production of paclitaxel and 10-deacetylbaccatin III in suspension cell cultures of Taxus baccata L. [Journal name, volume(issue), page range missing].
11. World Health Organization. (n.d.). Definition of herbal medicines. Retrieved April 2, 2026, from https://www.who.int/
12. Government of India, Ministry of AYUSH. (n.d.). Policies and programs on Ayurveda, Yoga, Unani, Siddha, and Homeopathy (AYUSH). Retrieved April 2, 2026, from https://www.ayush.gov.in.