Bayesian factor analytic model: An approach in multiple environment trials.

ABSTRACT: One of the main challenges in plant breeding programs is the efficient quantification of the genotype-by-environment interaction (GEI). The presence of significant GEI may create difficulties for breeders in the selection and recommendation of superior genotypes for a wide environmental network. Among the diverse statistical procedures developed for this purpose, we highlight those based on mixed models and factor analysis that are called factor analytic (FA) models. However, some inferential issues are related to the factor analytic model, such as Heywood cases that make the model non-identifiable. Moreover, the representation of the loads and factors in the conventional biplot does not involve any measurement of uncertainty. In this work, we propose dealing with the FA model using the Ba

SUBMITTER: Nuvunga JJ 

PROVIDER: S-EPMC6705866 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature