Code & data – Understanding factors influencing the estimated genetic variance and the distribution of breeding values
The enclosed files are different formats of two Jupyter Notebooks written in R programming language. One notebook uses the wheat data from R package BGLR, and the other simulates and uses data using R package pedSimulate. This work is about finding distribution properties of the genetic relationship matrix (K) and its inverse (used in best linear unbiased prediction (BLUP)) influencing the genetic variance, the estimated heritability (h^2), and the variance of estimated breeding values. The main factors influencing the distribution of estimated breeding values are the phenotypic variance, estimated h^2, and K^-1. Matrices K and K^-1 underwent transformations to find the distribution properties of these two matrices affecting the estimated h^2 and the distribution of estimated breeding values.
Steps to reproduce
Steps to reproduce are presented in the enclosed files, which are different formats of two Jupyter Notebooks written in R programming language.