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(Co)variance components, genetic parameters and annual trends for calf weights in a pedigree Brahman herd under selection for three decades
Author(s) -
PLASSE D.,
VERDE O.,
FOSSI H.,
ROMERO R.,
HOOGESTEIJN R.,
BASTIDAS P.,
BASTARDO J.
Publication year - 2002
Publication title -
journal of animal breeding and genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.689
H-Index - 51
eISSN - 1439-0388
pISSN - 0931-2668
DOI - 10.1046/j.1439-0388.2002.00321.x
Subject(s) - brahman , herd , sire , restricted maximum likelihood , zoology , biology , zebu , heritability , ice calving , variance components , selection (genetic algorithm) , beef cattle , animal breeding , genetic correlation , birth weight , maternal effect , artificial insemination , veterinary medicine , genetic variation , statistics , breed , maximum likelihood , mathematics , lactation , pregnancy , genetics , medicine , offspring , artificial intelligence , computer science , gene
A 300 cow Brahman herd kept on improved pasture was subjected to a selection and management programme based on a limited breeding season. Artificial insemination using mainly progeny tested bulls was used in part of the herd and the rest were bred in single sire herds. Of the 200 sires used during the 30 year period, 82% were homebred and selected principally for high estimated breeding value of 18‐month weight. Variance components of birth (BW), weaning (205 W) and 18‐month (548 W) weights of 6130 calves born 1968 through to 1997 were estimated by the Restricted Maximum Likelihood method (REML) using uni‐ and bivariate animal models. For each weight the animal's direct and maternal genetic and the dam's permanent environmental effects were considered random and those of sex, year and month of birth and age of cow were considered fixed, but the models differed as far as the number of significant interactions included. Adjusted least squares means for BW, 205 W and 548 W were 28, 158 and 292 kg. Phenotypic and direct and maternal genetic trends from univariate analysis were for BW: 0.156, 0.061 and −0.001 kg; for 205 W: 0.471, 0.126 and 0.044 kg; for 548 W: 1.973, 0.486 and 0.251 kg per year. Direct and maternal heritabilities from univariate analyses were for BW, 205 W and 548 W, 0.33 and 0.08; 0.07 and 0.14; 0.13 and 0.08, respectively. Genetic direct‐maternal correlations for the three weights were −0.37, −0.13 and 0.49 and permanent environmental variance of the dam as proportion of phenotypic variance (c 2 ) had values of 0.03, 0.16 and 0.01, respectively. Direct and maternal genetic correlations were for BW: 205 W, 0.64 and 0.74; for BW: 548 W, 0.35 and 0.74; and for 205 W: 548 W, 0.64 and 0.96. Future genetic work in the herd should put more emphasis on the improvement of cow efficiency for sustainable beef production on native and improved pasture.