Reduced-rank estimation of genetic parameters for egg production traits and cluster analyses with predicted breeding values

Author(s)

de Freitas, Luara Afonso ^{[1, 2]} ; Savegnago, Rodrigo Pelicioni ^{[2, 3]} ; Grupioni, Natalia Vinhal ^[2] ; Ramos, Salvador Boccaletti ^[4] ; Stafuzza, Nedenia Bonvino ^[2] ; Pereira de Figueiredo, Elsio Antonio ^[5] ; Schmidt, Gilberto Silber ^[5] ; Ledur, Monica Correa ^[5] ; Munari, Danisio Prado ^[2]

Affiliation

^[1] Univ Sao Paulo, Fac Med Ribeirao Preto, Dept Genet, Ribeirao Preto - Brazil

^[2] Univ Estadual Paulista, Fac Ciencias Agr & Vet, Dept Ciencias Exatas, Via Acesso Prof Paulo Donato Castellane S-N, BR-14884900 Jaboticabal, SP - Brazil

^[3] Ctr Pesquisa Bovinos Corte, Inst Zootecnia, Sertaozinho - Brazil

^[4] Univ Franca, Programa Posgrad Promocao Saude, Franca - Brazil

^[5] Embrapa Suinos & Aves, Concordia - Brazil

• Document type: Journal article
• Source: ACTA AGRICULTURAE SCANDINAVICA SECTION A-ANIMAL SCIENCE; v. 68, n. 2, p. 81-86, APR 3 2018.
• Web of Science Citations: 0

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. (AU)

• FAPESP's process: 12/16087-5 - Application of neural networks and random regression models for predict the breeding value of milk production in Holstein cows
• Grantee: Rodrigo Pelicioni Savegnago
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• FAPESP's process: 16/10583-1 - Genetic evaluation of growth characteristics and resistance to worms in sheep breed Santa Inês using random regression models and cluster analysis
• Grantee: Luara Afonso de Freitas Januário
• Support Opportunities: Scholarships in Brazil - Master
• FAPESP's process: 13/20091-0 - Prediction of breeding values in a experimental mice population using selective genotyping
• Grantee: Rodrigo Pelicioni Savegnago
• Support Opportunities: Scholarships in Brazil - Post-Doctoral