1903 papers
This study employs a multi-omics approach to reveal that gibberellic acid suppresses yam bulbil sprouting by inducing a signal-desensitization state that represses growth-promoting hormones, whereas paclobutrazol promotes sprouting by establishing a signal-hypersensitization state that activates multiple pro-sprouting pathways.
This study characterizes the taxonomic diversity and plant growth-promoting potential of endophytic bacteria isolated from *Dalbergia reniformis* in Bangladesh's Ratargul Swamp Forest, revealing a rich community dominated by *Pantoea* and *Bacillus* species that exhibit extensive biofertilization and biocontrol capabilities.
This study demonstrates that transporting pigs during summer, regardless of distance, induces greater pre-slaughter stress and dehydration, leading to increased carcass lesions, altered blood biomarkers, and reduced meat quality compared to winter transport.
This study utilizes a nationwide survey and exploratory factor analysis to identify key institutional, personal-psychological, and policy factors influencing the integration of agricultural research, extension, and education in Nepal, ultimately proposing a strategic framework to strengthen these linkages for improved agricultural development.
This study demonstrates that a computer vision system using smartphone imagery and machine learning, specifically YOLO11x-OBB for detection and Ridge regression for prediction, can accurately measure egg dimensions and predict the weight of both chicken and goose eggs with high precision.
A study on brown-egg laying hens (75–91 weeks) in cage-free systems found that a lower energy diet (2,550 kcal/kg AME) improved feed intake, egg production, and feed conversion compared to a higher energy diet (2,800 kcal/kg AME), while a protein level of 160 g/kg was optimal for maintaining egg quality and organ health without negative effects.
This study demonstrates that silicate rock remineralizers (phonolite, syenite, nepheline syenite, and mica schist) can effectively replace conventional potassium chloride in subtropical irrigated rice systems by significantly improving soil potassium availability and balance while maintaining grain yields comparable to standard fertilization.
This study demonstrates that a HistGradientBoosting machine learning model, utilizing routine moisture and ash profiles, can accurately and rapidly predict Vitamin C content in vegetables as a practical alternative to cumbersome titration methods.
This study demonstrates that optimizing the red-to-blue LED light ratio, particularly at 3:1, significantly enhances kiwifruit seedling growth, photosynthetic efficiency, and carbohydrate metabolism while differentially regulating secondary metabolite profiles, providing a scientific basis for improving supplemental lighting strategies in protected cultivation.
This study constructs a harmonized province-year panel for mainland China (2010–2022) to demonstrate that while the validated dataset supports reproducible monitoring of agricultural input-carbon and irrigation-water productivity, contemporaneous hydroclimatic variables offer little explanatory power for their within-province variation and hypothetical carbon taxes would impose minimal burdens on real agricultural output.