A marker weighting approach for enhancing within-family accuracy in genomic prediction.

ABSTRACT: Genomic selection is revolutionizing plant breeding. However, its practical implementation is still very challenging, since predicted values do not necessarily have high correspondence to the observed phenotypic values. When the goal is to predict within-family, it is not always possible to obtain reasonable accuracies, which is of paramount importance to improve the selection process. For this reason, in this research, we propose the Adversaria-Boruta (AB) method, which combines the virtues of the adversarial validation (AV) method and the Boruta feature selection method. The AB method operates primarily by minimizing the disparity between training and testing distributions. This is accomplished by reducing the weight assigned to markers that display the most significant differences betwe

SUBMITTER: Montesinos-Lopez OA 

PROVIDER: S-EPMC10849334 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature