Principal component analysis revisited: fast multitrait genetic evaluations with smooth convergence.

ABSTRACT: A cornerstone in breeding and population genetics is the genetic evaluation procedure, needed to make important decisions on population management. Multivariate mixed model analysis, in which many traits are considered jointly, utilizes genetic and environmental correlations between traits to improve the accuracy. However, the number of parameters in the multitrait model grows exponentially with the number of traits which reduces its scalability. Here, we suggest using principal component analysis to reduce the dimensions of the response variables, and then using the computed principal components as separate responses in the genetic evaluation analysis. As principal components are orthogonal to each other so that phenotypic covariance is abscent between principal components, a full multiva

SUBMITTER: Ahlinder J 

PROVIDER: S-EPMC11631533 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature