Title: On the robustness of estimates of genetic correlation
Abstract: Genetic correlation is one ofthe important genetic parameters widely used by the breeders and geneticists in selection and improvement programs. Evidences are cited in the literature for the estimation of genetic correlation based on normality assumptions. This paper presents the estimates ofgenetic correlation under non-normality assumptions, from the variance covariance components under half-sib model. The estimates of genetic correlation, bias, standard error and mean square error estimates are reported in the study.
Publication Year: 2006
Publication Date: 2006-01-01
Language: en
Type: article
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot