Estimation of Environmental Sensitivity of Genetic Merit for Milk Production Traits Using a Random Regression Model

摘要: The objective of this study was to estimate effects environmental sensitivity milk production traits for several parameters and investigate the impact combining with different in an economic index. Variance components breeding values were estimated milk, fat, protein yield, fat percentage by applying a random regression on parameter each sire. Fourteen defined fitted data consisting 151,696 heifers 6780 herds Netherlands first-lactation records production, somatic cell count, body condition score, number inseminations. Milk, yield showed combination 12 parameters. Herd-year averages protein, age at calving, calving interval, peak date explained most genotype environment interaction, mainly resulting from scaling effects. Almost all genetic correlations across environments 0.99 or higher. Although heterogeneity variances considerable, heritabilities limited. Scaling had large effect weights index, but sensitivities yields approximately equal magnitude. Consequently, very little reranking occurred based