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Genetic parameter estimates and cluster analysis of breeding values for milk production in Guzerá cattle

Tuesday, August 19, 2014
Posters (The Westin Bayshore)
Lenira El Faro , SAA/APTA/Instituto de Zootecnia-Centro de Bovinos de Corte, Sertãozinho-SP, Brazil
Diego Augusto Campos Cruz , Instituto de Zootecnia, Sertãozinho, Brazil
Maria Gabriela Campolina Diniz Peixoto , Embrapa Dairy Cattle, Juiz de Fora, Brazil
Rodrigo Pelicioni Savegnago , UNESP, Jaboticabal, Brazil
Carlos Henrique Cavallari Machado , ABCZ, Uberaba, Brazil
Frank Angelo Tomita Bruneli , Embrapa Dairy Cattle, Juiz de Fora, Brazil
Abstract Text: The aim of this study was to explore the genetic curve pattern of EBVs for test-day milk yield of Guzerá cattle using cluster analysis. Test-day milk yields of 5,274 first-lactation Guzerá cows were recorded in a progeny test from 1987 to 2012. A total of 34,193 monthly records were analyzed with a random regression animal model using Legendre polynomials to fit additive genetic and permanent environmental random effects and the mean trend. Residual variances were modeled by a step function. Hierarchical and non-hierarchical cluster analyses were performed based on the EBVs for monthly test-day milk yield, peak yield, lactation persistency, and partial cumulative and 305-day yields. The heritability estimates for test-day milk yields ranged from 0.24 to 0.52. Cluster analysis identified animals in the population that belong to different groups according to milk production level and lactation persistency.

Keywords:

lactation curve

persistency

random regression

Zebu cows