Confidence intervals for validation statistics with data truncation in genomic prediction.

ABSTRACT:

Background

Validation by data truncation is a common practice in genetic evaluations because of the interest in predicting the genetic merit of a set of young selection candidates. Two of the most used validation methods in genetic evaluations use a single data partition: predictivity or predictive ability (correlation between pre-adjusted phenotypes and estimated breeding values (EBV) divided by the square root of the heritability) and the linear regression (LR) method (comparison of "early" and "late" EBV). Both methods compare predictions with the whole dataset and a partial dataset that is obtained by removing the information related to a set of validation individuals. EBV obtained with the partial dataset are compared against adjusted phenotypes for the predictivity or EBV obt

SUBMITTER: Bermann M 

PROVIDER: S-EPMC11234739 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature