Results 111 to 120 of about 9,159 (181)

Effect of Acute Heat Stress During Pod Filling on Seed Quality Traits in Lentil (Lens culinaris Medikus)

open access: yesLegume Science, Volume 8, Issue 3, September 2026.
ABSTRACT Heat stress is an increasing threat to lentil production systems, yet its effects on seed quality traits remain poorly understood. This study evaluated seed quality responses of lentil genotypes grown under control and heat stress conditions across three seasons (2022–2024), with acute heat stress applied during the pod‐filling stage for 3 ...
Minhao Li   +7 more
wiley   +1 more source

Evaluating the feasibility of the CIPHER metadata framework towards building a conceptual phenotype standard. [PDF]

open access: yesJAMIA Open
Honerlaw J   +11 more
europepmc   +1 more source

The Veterans Aging Cohort Study (VACS)‐National: A Real‐World Data Source Profile

open access: yesPharmacoepidemiology and Drug Safety, Volume 35, Issue 9, September 2026.
ABSTRACT The Veterans Aging Cohort Study (VACS)‐National is a large, longitudinal real‐world data resource derived from electronic health records within the Department of Veterans Affairs (VA), the largest integrated healthcare system in the United States. As of December 2025, VACS‐National includes > 14.9 million Veterans who have received care in the
Christopher T. Rentsch   +13 more
wiley   +1 more source

Multimodal genomic prediction is not a buzzword: why modern plant breeding must integrate genomics, enviromics, and phenomics. [PDF]

open access: yesG3 (Bethesda)
Crossa J   +5 more
europepmc   +1 more source

Genome–phenome association prediction using weighted deep matrix factorization with a multisource graph attention network

open access: yesQuantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Genome–phenome association (GPA) prediction can broaden the understanding of biological mechanisms underlying complex phenotypic traits (e.g., diseases and agronomic traits). Traditional deep matrix factorization (DMF)‐based GPA methods can integrate multiple data types and uncover nonlinear associations but often rely on low‐dimensional ...
Ran Duan   +4 more
wiley   +1 more source

Omics-driven plant breeding through phenomics-enviromics crosstalk. [PDF]

open access: yesNat Commun
Li H   +9 more
europepmc   +1 more source

Towards universal deconvolution of tissue‐level multiomics for translational medicine

open access: yes
Clinical and Translational Medicine, Volume 16, Issue 9, September 2026.
Renjie Liu, Tianyi Zhao, Yadong Wang
wiley   +1 more source

Arbuscular Mycorrhizal Fungi Can Increase Nitrogen Use Efficiency in Aerobically Grown Rice Under Water‐Limited Conditions

open access: yesJournal of Sustainable Agriculture and Environment, Volume 5, Issue 3, September 2026.
ABSTRACT Rice is a vital staple crop for more than half of the global population, but water limitations threaten its production under flooded conditions. A transition to aerobic production of rice would ease water limitations but may increase nutrient management issues. Arbuscular mycorrhizal (AM) fungi could help by boosting nutrient and water uptake,
Alison R. Gill   +4 more
wiley   +1 more source

Multimodality, interaction modeling, and multimodule architectures in genomic prediction: A unified conceptual framework

open access: yesThe Plant Genome, Volume 19, Issue 3, September 2026.
Abstract The rapid expansion of genomic, environmental, phenomic, and other high‐dimensional data sources has transformed genomic prediction in plant breeding. However, the terms multimodal, interaction modeling, and multimodule architecture are often used inconsistently, generating ambiguity regarding whether they refer to biological assumptions, data
J. Crossa   +7 more
wiley   +1 more source

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