Results 171 to 180 of about 6,788 (253)
Combined Application of Probiotic and Phytobiotic Additives Improves Fermentation Quality and Amino Acid Preservation in Tropical Forage Silages. [PDF]
Susanto I +8 more
europepmc +1 more source
Mucuna pruriens as a Sustainable Functional Food: Applications From Seed to Product
This review highlights Mucuna pruriens as a nutrient‐rich legume with significant nutritional, therapeutic, and agricultural value. Its protein‐rich seeds contain essential minerals and L‐DOPA, but high antinutritional compounds require effective processing before consumption.
Crossby Osei Tutu +10 more
wiley +1 more source
Dried Distillers' Grains with Solubles in Ruminant Diets: Effects on Enteric Methane Emissions and Production Responses-A Systematic Review. [PDF]
Mwanda L +4 more
europepmc +1 more source
Biological Flora of New Zealand 17: Kunzea ericoides (Myrtaceae), Kānuka
This review summarises the taxonomic status, morphology, physiology, ecology, plant communities, mycological, invertebrate and vertebrate interactions and human use of the New Zealand endemic tree Kunzea ericoides (A. Rich.) Joy Thomps. (kānuka) (Myrtaceae).
P. J. Bellingham +8 more
wiley +1 more source
Managing Anti-Nutritional Factors in Plant-Based Feeds: Implications for Herbivore Nutrition and Production. [PDF]
Han M +8 more
europepmc +1 more source
Abstract Accelerating genetic gain in intercrop forage breeding requires scalable phenotyping approaches that can capture both yield and quality variation across complex genotype combinations. This study evaluated the use of uncrewed aerial system (UAS)‐derived multispectral vegetation indices (VIs) for predicting forage yield and nutritive quality in ...
Milcah Kigoni +6 more
wiley +1 more source
Toward lower-emission beef production: research gaps and opportunities. [PDF]
Thompson LR, Place SE, Rowan TN.
europepmc +1 more source
Genomic and phenomic prediction models improve selection accuracy for complex traits in alfalfa
Abstract Predictive breeding has been proposed as an effective approach to accelerate genetic gain for complex traits. Genomic prediction (GP) models have been developed in alfalfa (Medicago sativa L.) for key traits in the last decade. More recently, phenomic prediction (PP) models have been proposed as a low‐cost, high‐throughput alternative to GP in
Pablo Sipowicz +8 more
wiley +1 more source
Abstract Genetic gains of oat (Avena sativa L.) grain yield have been historically low compared to other major cereal crops. The use of machine learning models to capture complex interactions and leveraging data types other than genomic information in prediction models has great potential for improving complex traits in oat breeding programs.
Samuel A. Adewale +11 more
wiley +1 more source
Ahead of SB62 in June 2025, the African Group of Negotiators Experts Support (AGNES) convened a pre-SB62 strategy meeting from 25th to 28th February 2025 to deliberate and prepare a common African position on the Global Goal on Adaptation, climate ...
Cramer, Laura K.
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