Genetic Parameters for Milk Yield and Lactation Persistency Using Random Regression Models in Girolando Cattle
作者： Ali William Canaza-Cayo , Paulo Sávio Lopes , Marcos Vinicius Gualberto Barbosa da Silva , Robledo de Almeida Torres , Marta Fonseca Martins
DOI: 10.5713/AJAS.14.0620
关键词:
摘要: A total of 32,817 test-day milk yield (TDMY) records the first lactation 4,056 Girolando cows daughters 276 sires, collected from 118 herds between 2000 and 2011 were utilized to estimate genetic parameters for TDMY via random regression models (RRM) using Legendre's polynomial functions whose orders varied 3 5. In addition, nine measures persistency in (PSi) trend 305-day (305MY) evaluated. The fit quality criteria used indicated RRM employing 5 fitting additive permanent environment effects, respectively, as best model. heritability correlation throughout lactation, obtained with model, 0.18 0.23 -0.03 1.00, respectively. 305MY 0.10 0.33 -0.98 use PS7 would be most suitable option evaluation cattle. estimated breeding values sires showed significant positive trends. Thus, selection indices cattle both traits. (Key Words: Genetic Trend, Parameters, Lactation Persistency, Polynomials, Random Regression Model, Cattle)
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