Author

Salvador A. Gezan

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Open access Sep 2026

Reduced-rank random regression for improved yield prediction across the Australian wheatbelt.

Predicting complex traits like yield in new environments is challenging due to genotype-by-environment interactions (GEI). Environmental covariates (ECs) can improve prediction by describing environmental variation relevant to GEI. However, approaches that model genotype-specific responses to one or multiple ECs can be...

Jip J. C. Ramakers, Martin P. Boer, Jesse Hemerik et al. · G3 · 0 citations

Open access Jul 2026

UAV image-derived canopy traits for predicting alfalfa fall dormancy and forage yield in Mediterranean environments

Fall dormancy (FD) and forage yield (FY) are two key traits in alfalfa (Medicago sativa L.) breeding programs. However, genetic progress has remained limited over the past decades, largely due to the complexity of alfalfa breeding and the reliance on labor-intensive phenotyping methods. High-throughput phenotyping (HTP...

F. González, Hamza Armghan Noushahi, Danae Hernández et al. · Frontiers in Plant Science · 0 citations