IOSR-JAVS VOLUME-19 ~ Issue-10 ~ Oct. 2026

ABSTRACT: Aquaculture is in great demand for developing sustainable and highly efficient aquaculture system in the world, especially in the countries like Bangladesh where fish is the major source of protein for almost 79% people of the country. To tackle these aquaculture challenges, a new technology has surfaced in the last few years that has become known as Biofloc technology. A novel technology has developed over the last few years, now termed Biofloc technology that may offer a more sustainable and efficient way of reducing environmental impacts, increasing resource utilization efficiency and increasing production yields......

Keywords: Biofloc Technology, Aquaculture, Machine Learning, Impact Learning, Sustainable Fisheries.

[1]. FAO. (2022). The State of World Fisheries and Aquaculture 2022. Rome: Food and Agriculture Organization of the United Nations.
[2]. Boyd, C. E., McNevin, A. A., & Davis, R. P. (2022). The contribution of fisheries and aquaculture to the global protein supply. Food Security, 14(3), 805–827.
[3]. Rashid, M. M., Nayan, A. A., Rahman, M. O., Simi, S. A., Saha, J., & Kibria, M. G. (2021). IoT-based Smart Water Quality Prediction for Biofloc Aquaculture. IJACSA, 12(6), 56–62. https://doi.org/10.14569/IJACSA.2021.0120608
[4]. Avnimelech, Y. (2015). Biofloc Technology – A Practical Guide Book. The World Aquaculture Society.
[5]. Betanzo-Torres, E. A., et al. (2020). Factors that limit the adoption of biofloc technology in aquaculture production in Mexico. Water, 12(10), 2775. https://doi.org/10.3390/w12102775.

ABSTRACT: Varietal response and appropriate use of chemical mutagens play a crucial role in improving tomato germination and early seedling growth. To assess the effect of different doses of Ethyl Methane Sulphonate (EMS) on the germination and seedling growth of tomato, an experiment was conducted at the Tissue Culture Laboratory, Horticulture Division, Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh, during the period....

[1]. Adamu AK, Aliyu H 2007: Morphological effects of sodium azide on tomato (Lycopersicon esculentum Mill). Scientific Research and Essays 2(1) 1–4.
[2]. BBS 2024: Yearbook of Agricultural Statistics of Bangladesh. Ministry of Planning, Dhaka.
[3]. Bhatia, S. (2010). Tomato production and processing: an overview. International Journal of Food Science and Technology, 45(1), 2-12.
[4]. Das MK, Rahman MM, Sultana N 2020: Evaluation of tomato lines for better root and shoot development. Bangladesh Journal of Agricultural Research 45(1) 45–52.
[5]. FAOSTAT 2023: Food and Agriculture Organization of the United Nations.

ABSTRACT: Kenyan Agriculture has faced a lot of challenges caused by various invasive insect crop pest. This has threatened the efforts of the Kenyan government in actualizing Sustainable Developments Goals (SDGs) towards agriculture. Invasion of insect pest in sub-Saharan Africa, particularly on the cereals crops is one of the major threat to their effective utilization. Although several methods have been utilized towards the control of these pests, optimum utilization is still a challenge. This is because Integrated Pest Management (IPM) strategies have been underexplored...

Key words: IPM, FAW, SDGs

[1] https://www.worldbank.org/en/topic/agriculture/overview
[2]. Khan, Z., Sharawi, S. E., Khan, M. S., Xing, L. X., Ali, S., & Ahmed, N. (2022). Prevalence of insect pests on maize crop in District Mansehra, Khyber Pakhtunkhwa, Pakistan. Brazilian Journal of Biology, 84, e259217. [3]. Dragomir, V., Ioan Sebastian, B., Alina, B., Victor, P., Tanasă, L., & Horhocea, D. (2022). An overview of global maize market compared to Romanian production. Romanian Agriculture Research, 39, 535-544.
[4]. Ampofo, J. K. O. (1988). Assessment of on-farm losses in maize production due to insect pests. International Journal of Tropical Insect Science, 9(6), 687-690.
[5]. De Groote, H., Kimenju, S. C., Munyua, B., Palmas, S., Kassie, M., & Bruce, A. (2020). Spread and impact of fall armyworm (Spodoptera frugiperda JE Smith) in maize production areas of Kenya. Agriculture, ecosystems & environment, 292, 106804..

ABSTRACT: The pathological study of Infectious Bronchitis virus in a commercial layer flock comprised the information in relation to production, mortality, clinical signs, gross and histopathological examination, serological estimation, virus characterization by RT-PCR and subsequent gene sequencing. The mortality observed was 15.3% with typical penguin gait appearance with pendulous abdomen from 32 weeks onwards. Drop in egg production started...

Key words: IBV, Cystic oviduct, SPF, dwarfing, 4/91 strain.

[1]. Ballal, A., Karrar, A. E. and ElHussein, A. M. (2005).Isolation and Characterization of Infectious Bronchitis Virus Strain 4/91 from Commercial Layer Chickens in the Sudan.J. Anim. Vet. Adv. 4: 910-912.
[2]. Benyeda, Z., Mato, T., Suveges, T., Szabo, E., Kardi, V., Abonyi-Toth, Z., Rusvai, M. and Palya, V. (2009). Comparison of the pathogenicity of QX-like, M41 and 793/B infectious bronchitis strains from different pathological conditions. Avian Pathol.38: 449-456.
[3]. Benyeda, Z., Szeredi, L., Mato, T., Suveges, T., Balka, G. and Abonyi-Toth, Z. (2010).Comparative histopathology and immunohistochemistry of QX-like, Massachusetts and 793/B serotypes of infectious bronchitis virus infection in chickens.J.Comp.Pathol. 143: 276-283.
[4]. Block, H.(2009). False layers IB-case report in broiler breeder. Heffels-Redmann, D. Sommer& E.F. Kaleta (Eds.). VI. International Symposium on Avian Corona- and Pneumoviruses and Complicating Pathogens. pp. 38-39..

ABSTRACT: The Democratic Republic of the Congo (DRC) holds approximately 80 million hectares of arable land, of which less than 10 % are currently cultivated, and benefits from highly favorable agro-climatic conditions. Nevertheless, food crop productivity remains severely hampered by major biotic constraints. Cassava (Manihot esculenta Crantz), the staple food providing calories for 70 % of the population, suffers yield losses up to 100 % under combined pressure from the African Cassava Mosaic Disease (CMD) and Cassava Brown Streak Disease (CBSD). Fungal, bacterial, and viral diseases also affect maize, rice, potato, and horticultural crops...

Key words: Phytopathology ; African Cassava Mosaic Disease ; Cassava Brown Streak Disease ; Convolutional Neural Networks ; Remote Sensing ; Geographic Information Systems ; Precision Agriculture.

[1]. Akande Kayode, O., Omondi, B., & Ouko, J. (2025). Détection des maladies foliaires du manioc par réseaux de neurones convolutifs : adaptation aux variétés locales d’Afrique centrale. Revue Africaine d’Intelligence Artificielle Appliquée, 12(3), 45-58.
[2]. Bock Claus, H., Chiang, K., & Del Ponte, E. M. (2021). Disease severity assessment: Methods, protocols, and data analysis. Phytopathology, 111(1), 32-46.
[3]. Casinga Rigobert, Likiti Kola, P., & Kakule, M. (2025). Évaluation des pertes de rendement dues à la striure brune du manioc (CBSD) sur variétés locales et améliorées en République Démocratique du Congo. African Crop Science Journal, 33(1), 45-59.
[4]. Empata Sébastien, Monde, A., & Sikazwe, U. (2023). Effet de la co-infection CMD-CBSD sur la productivité du manioc dans les zones de l’Est de la RDC. Journal de Phytopathologie Tropicale, 15(2), 112-125.
[5]. FAO. (2022). Aperçu de la sécurité alimentaire et de la nutrition en République Démocratique du Congo. Organisation des Nations Unies pour l’Alimentation et l’Agriculture.