1212 papers
This study demonstrates the successful integration of molecular breeding techniques, including marker-assisted selection and phenotypic markers, with a machine learning-based artificial neural network model to accelerate the development of high-yielding, early-flowering ethnic Assamese ready-to-eat rice varieties.
This study of 425 farms in eastern D.R. Congo reveals that while banana cultivation is predominantly intercropped, monocropping yields are significantly higher, and productivity is positively driven by farmer age, cooperative membership, mineral fertilizer use, and salaried labor, despite being constrained by biotic and abiotic stresses as well as limited access to resources.
This study morphologically characterized seven black nightshade accessions sourced from various Kenyan seed companies using a randomized complete block design at the University of Eldoret, revealing significant genetic diversity in their traits that can be exploited for future breeding programs to benefit farmers and consumers.
This study develops a temperature-driven bioeconomic model optimized by particle swarm algorithms to determine region-specific multi-batch production strategies for sea bass pond culture, demonstrating how tailoring stocking and harvest schedules to local thermal conditions significantly enhances economic returns by mitigating the impacts of temperature variability.
A two-year study on mango orchards of varying ages reveals that timely management practices, including plant protection, significantly reduce pest and disease incidence while enhancing fruit quality and nutrient profiles compared to unmanaged trees.
This study analyzes calf losses in Turkish dairy farms across prenatal, perinatal, and postnatal stages, revealing significant regional and breed-related variations in loss rates and underscoring the urgent economic need for targeted policy interventions.
This study demonstrates that in Zimbabwe's semi-arid sandy loam soils, combining high-rate compost-biochar/NPK integrated nutrient management with tied ridges and the SCXH102 sorghum variety significantly enhances soil moisture, nutrient use efficiency, and grain yield, offering a sustainable climate-smart solution for smallholder farmers.
This study demonstrates that integrating a YOLOv9-based deep learning model with in vitro pollen germination assays provides a high-throughput, accurate, and scalable phenotyping tool for effectively screening male gametophytic heat tolerance in soybean breeding programs.
This study demonstrates that supplementing mixed wheat straw and *Pennisetum giganteum* silage with 6 g·kg⁻¹ of brown sugar significantly enhances fermentation quality by increasing lactic and acetic acid levels, reducing butyric acid, and optimizing microbial community structure and cooperativity.
This study demonstrates that a 12-month multicomponent school-garden intervention significantly improved food literacy, dietary diversity, and household educational transfer among rural primary school students, highlighting the critical role of experiential learning and family reinforcement in achieving sustainable educational outcomes.