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Reduced-rank estimation of genetic parameters for egg production traits and cluster analyses with predicted breeding values |
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| Authors: | Luara Afonso de Freitas Rodrigo Pelicioni Savegnago Natalia Vinhal Grupioni Salvador Boccaletti Ramos Nedenia Bonvino Stafuzza Elsio Antônio Pereira de Figueiredo |
| Affiliation: | 1. Departamento de Ciências Exatas, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista ‘Júlio de Mesquita Filho’, Jaboticabal, Brazil;2. Departamento de Genética, Faculdade de Medicina de Ribeir?o Preto, Universidade de S?o Paulo, Ribeir?o Preto, Brazil;3. Instituto de Zootecnia, Centro de Pesquisa em Bovinos de Corte, Sert?ozinho, Brazil;4. Programa de Pós-Gradua??o em Promo??o de Saúde, Universidade de Franca, Franca, Brazil;5. Embrapa Suinos e Aves, Concordia, Brazil |
| Abstract: | The aims of this study were to compare the suitability of the multi-trait (MUT) model to estimate genetic parameters with that of 13 reduced-rank principal component models (PC1 to PC13), and then to explore the additive genetic patterns of the breeding values obtained from these using clustering analyses of egg production traits. A total of 1,212 records were used to estimate genetic parameters using the MUT and PC models. The PC4 model was the best representation of the data since it had a lower AIC value and was more parsimonious than the MUT model. The estimated heritability of the age at the first egg (AFE) trait from this model was 0.28?±?0.06, and the estimated genetic correlation between AFE and total egg production (TP) was ?0.52?±?0.23. Potentially animals from cluster 2 are more likely to be in the selected group to help improve the egg production. |
| Keywords: | Genetic correlation heritability k-means laying hens Ward clustering |