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]

open access: yesAnimals (Basel)
Susanto I   +8 more
europepmc   +1 more source

Mucuna pruriens as a Sustainable Functional Food: Applications From Seed to Product

open access: yesModern Agriculture, Volume 4, Issue 2, December 2026.
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

Biological Flora of New Zealand 17: Kunzea ericoides (Myrtaceae), Kānuka

open access: yesNew Zealand Journal of Botany, Volume 64, Issue 4, December 2026.
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

Evaluation of uncrewed aerial system‐derived vegetation indices for forage trait phenomic prediction in oat–pea intercrop breeding trials

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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

Genomic and phenomic prediction models improve selection accuracy for complex traits in alfalfa

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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

Improving grain yield prediction in Southern US oat germplasm using genomics information and environmental covariates

open access: yesThe Plant Genome, Volume 19, Issue 4, December 2026.
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

Climate-smart forage and feed actions: Exploring sustainable forage and feed practices for enhanced livestock nutrition, agricultural productivity, environmental health and climate resilience

open access: yes
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.
core  

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