Genomic prediction applied to multiple traits and environments in second season maize hybrids

Amanda Avelar De Oliveira, , Luís Felipe Ventorim Ferrão, Rodrigo Rampazo Amadeu, Lauro José Moreira Guimarães, Claudia Teixeira Guimarães, Maria Marta Pastina & Gabriel Rodrigues Alves Margarido
Genomic selection has become a reality in plant breeding programs with the reduction in genotyping costs. Especially in maize breeding programs, it emerges as a promising tool for predicting hybrid performance. The dynamics of a commercial breeding program involve the evaluation of several traits simultaneously in a large set of target environments. Therefore, multi-trait multi-environment (MTME) genomic prediction models can leverage these data sets by exploring the correlation between traits and Genotype-by-Environment (G×E) interaction. Herein,...
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18 downloads reported since publication in 2020.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?