Models to estimate genetic gain of soybean seed yield from annual multi-environment field trials.

ABSTRACT:

Key message

Simulations demonstrated that estimates of realized genetic gain from linear mixed models using regional trials are biased to some degree. Thus, we recommend multiple selected models to obtain a range of reasonable estimates. Genetic improvements of discrete characteristics are obvious and easy to demonstrate, while quantitative traits require reliable and accurate methods to disentangle the confounding genetic and non-genetic components. Stochastic simulations of soybean [Glycine max (L.) Merr.] breeding programs were performed to evaluate linear mixed models to estimate the realized genetic gain (RGG) from annual multi-environment trials (MET). True breeding values were simulated under an infinitesimal model to represent the genetic contributions to soybean seed yield

SUBMITTER: Krause MD 

PROVIDER: S-EPMC10663270 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature