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Validation of Test-Day Models for Genetic Evaluation of Dairy Goats in Norway

S. Andonov^*,1, J. Ødegård, I. A. Boman, M. Svendsen, I. J. Holme, T. Ådnøy, V. Vukovic^* and G. Klemetsdal

^* Faculty of Agricultural Sciences and Food, University Ss Cyril and Methodus, PO Box 297, 1000 Skopje, Macedonia
Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences (UMB), PO Box 5003, N-1432 Ås, Norway
The Norwegian Association of Sheep and Goat Breeders (NSG), Norwegian University of Life Sciences (UMB), PO Box 5003, N-1432 Ås, Norway
Geno, Breeding and AI Association, Norwegian University of Life Sciences (UMB), PO Box 5003, N-1432 Ås, Norway

¹ Corresponding author: sandonov{at}zf.ukim.edu.mk

Test-day data for daily milk yield and fat, protein, and lactose content were sampled from the years 1988 to 2003 in 17 flocks belonging to 2 genetically well-tied buck circles. In total, records from 2,111 to 2,215 goats for content traits and 2,371 goats for daily milk yield were included in the analysis, averaging 2.6 and 4.8 observations per goat for the 2 groups of traits, respectively. The data were analyzed by using 4 test-day models with different modeling of fixed effects. Model [0] (the reference model) contained a fixed effect of year-season of kidding with regression on Ali-Schaeffer polynomials nested within the year-season classes, and a random effect of flock test-day. In model [1], the lactation curve effect from model [0] was replaced by a fixed effect of days in milk (in 3-d periods), the same for all year-seasons of kidding. Models [2] and [3] were obtained from model [1] by removing the fixed year-season of kidding effect and considering the flock test-day effect as either fixed or random, respectively. The models were compared by using 2 criteria: mean-squared error of prediction and a test of bias affecting the genetic trend. The first criterion indicated a preference for model [3], whereas the second criterion preferred model [1]. Mean-squared error of prediction is based on model fit, whereas the second criterion tests the ability of the model to produce unbiased genetic evaluation (i.e., its capability of separating environmental and genetic time trends). Thus, a fixed structure with year (year, year-season, or possibly flock-year) was indicated to appropriately separate time trends. Heritability estimates for daily milk yield and milk content were 0.26 and 0.24 to 0.27, respectively.

Key Words: variance component • milk trait • model validation • test-day model