Bangladesh Agricultural University

Foliar Biofortification of Lentil ( Lens culinaris Medik.) With Iron, Zinc, and Selenium: Multi‐Environment Evaluation in Bangladesh

ABSTRACT Micronutrient malnutrition remains a major global challenge, particularly in developing countries of South Asia, where diets are dominated by cereal‐based foods with low mineral content. Lentil is a nutrient‐rich legume with strong potential for biofortification to enhan...

Interplay among climate, WASH, and socioeconomic factors in child stunting in Bangladesh: a DHS-based analysis

ABSTRACT Child undernutrition remains a public health challenge in Bangladesh. This study examined associations among household water, sanitation, and hygiene (WASH) conditions, climatic factors, socioeconomic characteristics, diarrhoeal disease, and child stunting. Pooled data f...

Interconnected communication mechanisms in plants and their ecological functions and agricultural implications

Plants interact through a coordinated communication network that enables them to perceive, process, and respond to environmental stimuli. This communication network consists of complex biological systems, including root systems, volatile organic compounds, RNA-based molecular sig...

Draft genome sequence of a multidrug-resistant Acinetobacter baumannii ABMTRAAP01M strain isolated from a dairy cattle farm environment in Bangladesh

ABSTRACT We report the draft genome sequence of an Acinetobacter baumannii ABMTRAAP01M, isolated from the manure of a dairy farm in Mymensingh city, with a total length of 3,431,271 bp, 10 antimicrobial resistance genes, and 29 predicted virulence factor genes.

Economic loss assessment of lumpy skin disease outbreak in cattle of Bangladesh

Abstract Lumpy skin disease virus (LSDV) poses a significant economic threat to the cattle sector in Bangladesh, with the first report dating back to 2019. This investigation assessed the financial implications of LSDV outbreaks across eight divisions, including both direct and i...

Genetic Locus Distinguishes the Variability of ' Candidatus Liberibacter asiaticus' (CLas), Causing Huanglongbing in Sweet Orange in Bangladesh

Huanglongbing (HLB), caused by ‘Candidatus Liberibacter asiaticus’ (CLas), poses a major threat to citrus production worldwide and has recently emerged as a serious constraint to sweet orange cultivation in Bangladesh. Despite widespread disease occurrence, information on the gen...

Foliar application of fulvic acid minimises the damage of glyphosate drift to wheat (Triticum aestivum L.) during early growth

Abstract Background and aims Glyphosate drift from applications to glyphosate-resistant crops can negatively affect growth of nearby wheat. Fulvic acid has demonstrated efficacy in alleviating various abiotic stresses in plants, underpinning a hypothesis it may also alleviate gly...

AI-driven prediction of marine microplastics from space: a case study of the Indian Ocean

Microplastics (MPs) are considered enormous threats to the environment on a global scale, yet their monitoring in oceanic regions remains challenging due to limited sampling and complex circulation patterns. This study leverages 12 remotely sensed oceanographic variables to predi...

In-silico identification of SNPs associated with breast cancer for disclosing pathogenetic processes and therapeutic candidates

Breast cancer (BC) is a leading cause of premature death in women. However, researcher’s understanding of BC development, progression and its treatment strategies has not yet reached a satisfactory level. To address these issues, first, it is necessary to accurately identify the...

Future-proofing raised bed irrigation for rabi maize using sensor-based soil moisture monitoring, AquaCrop modeling, and CMIP6-based climate projections in Bangladesh

Rabi maize production in north-central Bangladesh depends entirely on groundwater irrigation during a climatically water-stressed period, and progressive aquifer depletion with CMIP6-projected warming poses an escalating threat to its long-term viability. This study presents the...

Experiment-driven machine learning framework for compressive strength prediction of locally sourced fiber-reinforced concrete

This study proposes an experiment-driven machine learning (ML) framework to address experimental limitations in estimating compressive strength within a controlled experimental domain of locally sourced fiber-reinforced concrete (FRC). Concrete mixes incorporating 1, 2, and 3% la...

Biogenically synthesized of five different plant-derived silver nanoparticles as natural weapon against sheath blight disease of rice and its characterization

Biosynthesis of silver nanoparticles (AgNPs) was carried out using extracts from five plant species: neem (Azadirachta indica), tulsi (Ocimum sanctum), bishkatali (Persicaria lapathifolia), garlic (Allium sativum), and ginger (Zingiber officinale). The formation of silver nanopar...

Optimized Potting Media and Vertical Farming Enhance High‐Value Crop Productivity in Riverine Lands of Bangladesh

ABSTRACT Limited cultivable land and seasonal flooding constrain vegetable production in the riverine char lands of Bangladesh, highlighting the need for efficient and climate‐resilient production systems. This study evaluated optimized potting media for seedling production and t...