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
Our scalable two-step method estimates genotypic performance and genetic parameters from ranking data, producing reliable results comparable to quantitative analyses, enabling the integration of ranking data into breeding pipelines. Plant breeding research has chiefly relied on on-station experiments to evaluate variet...
Hugo Dorado-Betancourt, F. V. van Eeuwijk, J. van Etten et al.· Theoretical and Applied Gene...· 0 citations
Maize grain yield is frequently constrained by water scarcity, particularly in tropical regions characterized by irregular rainfall patterns. Dissecting the genetic basis of drought-related traits remains challenging because their expression is strongly influenced by environmental conditions. In this study, we applied...
Carina de Oliveira Anoni, Kaio Olímpio das Graças Dias, Martin P. Boer et al.· G3· 0 citations
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