455 papers
This study characterizes 23 traditional rice landraces from Bihar by integrating Distinctiveness, Uniformity, and Stability (DUS) phenotypic testing with microsatellite marker analysis to reveal significant genetic diversity and identify valuable unique traits for future breeding and conservation efforts.
This case report describes the first documented instance in veterinary medicine of a retained surgical sponge (gossypiboma) undergoing transmural migration into a dog's descending colon and abdominal wall, resulting in a colonic perforation and abscess formation.
This quantitative study of 372 small-scale cabbage farmers in South Africa's Free State province finds that while IoT technologies can significantly enhance agricultural productivity and sustainability, their adoption is currently hindered by challenges such as software complexity, data security concerns, inadequate infrastructure, and a lack of technical skills.
This study demonstrates that fractionating oat bran into soluble and insoluble components allows for the targeted tailoring of mycelium-based yogurt alternatives, where the insoluble fraction enhances structural rigidity and stability while the soluble fraction promotes smoothness and homogeneity.
This study applies the CMSY method to historical catch data (2005–2023) of black skipjack in the Mexican South Pacific to reveal that unregulated effort has caused severe biomass depletion and overfishing, prompting a recommendation for an immediate precautionary Total Allowable Catch of 800 tons per year to restore the stock.
This study optimized alkaline extraction and isoelectric precipitation parameters to produce high-yield yellow lentil protein concentrate with superior techno-functional properties and a balanced amino acid profile, while also identifying the second centrifugation step as a major loss point and establishing a more accurate nitrogen-to-protein conversion factor of 5.64.
This paper presents a scalable, UAV-based three-dimensional phenotyping framework that integrates vegetation indices and self-supervised visual embeddings to non-invasively quantify soybean resilience to pest stress by jointly assessing productivity, feature stability, and phenological development under natural field conditions.
This study presents a checkpoint-based hybrid Transformer-CNN framework that fuses temporal flock monitoring data with poultry image analysis to achieve highly accurate, explainable early prediction of *Escherichia coli* infection risk in broiler chickens, thereby enabling proactive management and transparent decision-making in precision poultry farming.
Through a participatory, expert-driven approach involving over 75 global stakeholders, the STAR IDAZ International Research Consortium developed strategic research roadmaps to guide investments and accelerate the delivery of safe, effective alternatives to antimicrobials in animal health to combat antimicrobial resistance.
This study utilizes RNA-seq analysis to reveal that carvacrol combats copper-resistant *Xanthomonas euvesicatoria* pv. *perforans* by rapidly collapsing the proton motive force and impairing the copper resistance pathway, thereby distinguishing its mode of action from traditional copper bactericides.