Comparison of different orders of Legendre polynomials in random regression model for estimation of genetic parameters and breeding values of milk yield in the Chinese Holstein population
Jianbin Li, Hongding Gao, Per Madsen, Wenhao Liu, Peng Bao, Guanghui Xue, Jun Mo Yang, Yundong Gao, Guosheng Su
The paper compares Legendre polynomial orders in random regression models for genetic evaluation of milk yield in Chinese Holstein cattle, finding third-order polynomials with heterogeneous residual variance provide the best fit and predictive ability.
bioRxiv · Feb 27, 2019 · PreprintGenetics