Use of iteration on data to solve the mixed model equations

Revista Brasileira de Zootecnia

Lopes, Paulo Sávio¹ 

[1] UFV

关键词: genetic evaluation;    iteration on data;    mixed model     IntroduçãoHENDERSON (1963;    1973;    1974) propôs a metodologia de modelos mistos;    para obtenção da melhor predição linear não-viesada (BLUP);    dos valores genéticos dos animais;   

DOI  :  10.1590/S1516-35982000000200017

学科分类：兽医学

来源: Universidade Federal de Vicosa

【 摘 要 】

- Breeding values were predicted by iterating on data using reduced animal model. Body weight at 35 days of age from two lines of meat-type chickens was measured in two generations and data file was consisted on 1044 parents (base population), 829 progeny parents and 9039 progeny non-parents. The number of iterative rounds and processing time for mixed model equations solutions via iterating on data were evaluated using seven convergence criteria (101 to 10-5). A total of six rounds of iteration and 9 s of time and 158 rounds and 5 min and 38 s were required to reach the solutions for 101 and 10-5 convergence criteria, respectively. The correlation between predicted breeding values were perfect (r=1,00) and there were no significant differences between estimated genetic trends using 10-1 to 10-5 as a convergence criteria. Based on these results, it was concluded that iterating on data could be efficiently used for animal genetic evaluation in microcomputer without great computational requirements.

【 授权许可】

CC BY-NC