Reduced-rank estimation of genetic parameters for egg production traits and cluster analyses with predicted breeding values
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Data
2018-04-03
Autores
Freitas, Luara Afonso de [UNESP]
Savegnago, Rodrigo Pelicioni [UNESP]
Grupioni, Natalia Vinhal [UNESP]
Ramos, Salvador Boccaletti
Stafuzza, Nedenia Bonvino [UNESP]
Pereira de Figueiredo, Elsio Antonio
Schmidt, Gilberto Silber
Ledur, Monica Correa
Munari, Danisio Prado [UNESP]
Título da Revista
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Título de Volume
Editor
Taylor & Francis As
Resumo
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.
Descrição
Palavras-chave
Genetic correlation, heritability, k-means, laying hens, Ward clustering
Como citar
Acta Agriculturae Scandinavica Section A-animal Science. Oslo: Taylor & Francis As, v. 68, n. 2, p. 81-86, 2018.