Most of the calculations for genetic relationship matrices and their inverses utilized in recent (t + 1) evaluations for populations of interest can be avoided by updating these matrices at t evaluations for only new animals. This study describes and develops existing methods for updating pedigree-based and marker-based relationship matrices and their inverses. Updating some of the matrices could benefit from parallel computing.
How to translate text using browser tools
28 November 2019
Updating genetic relationship matrices and their inverses: a methodology note
Mohammad Ali Nilforooshan
inverse
parallel processing
relationship matrix
updating