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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Ayres, D. R. Verneque, R. S. El Faro, L. Pereira, R. J. Vercesi Filho, A. E. Albuquerque, L. G. |
| Description | Country affiliation: Brazil Author Affiliation: Pereira RJ ( Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Jaboticabal, SP, Brasil rodjunper@gmail.com.) |
| Abstract | We analyzed 46,161 monthly test-day records of milk production from 7453 first lactations of crossbred dairy Gyr (Bos indicus) x Holstein cows. The following seven models were compared: standard multivariate model (M10), three reduced rank models fitting the first 2, 3, or 4 genetic principal components, and three models considering a 2-, 3-, or 4-factor structure for the genetic covariance matrix. Full rank residual covariance matrices were considered for all models. The model fitting the first two principal components (PC2) was the best according to the model selection criteria. Similar phenotypic, genetic, and residual variances were obtained with models M10 and PC2. The heritability estimates ranged from 0.14 to 0.21 and from 0.13 to 0.21 for models M10 and PC2, respectively. The genetic correlations obtained with model PC2 were slightly higher than those estimated with model M10. PC2 markedly reduced the number of parameters estimated and the time spent to reach convergence. We concluded that two principal components are sufficient to model the structure of genetic covariances between test-day milk yields. |
| e-ISSN | 16765680 |
| Journal | Genetics and Molecular Research |
| Issue Number | 3 |
| Volume Number | 12 |
| Language | English |
| Publisher | Fundação de Pesquisas Científicas de Ribeirão Preto |
| Publisher Date | 2013-09-27 |
| Publisher Place | Brazil |
| Access Restriction | Open |
| Subject Keyword | Lactation Physiology Models, Genetic Animals Genetics Crosses, Genetic Factor Analysis, Statistical Multivariate Analysis Phenotype Principal Component Analysis Comparative Study Research Support, Non-u.s. Gov't Discipline Genetics Discipline Molecular Biology Discipline Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
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