Original scientific paper
https://doi.org/10.15567/mljekarstvo.2017.0104
Genetic parameters estimation for milking speed in Croatian Holstein cattle
Marija Špehar
; Croatian Agricultural Agency, Ilica 101, 10000 Zagreb, Croatia
Mandica Lučić
; Croatian Agricultural Agency, Ilica 101, 10000 Zagreb, Croatia
Miran Štepec
; University of Ljubljana, Biotechnical Faculty, Department of Animal Science, Groblje 3, 1230 Domžale, Slovenia
Zdenko Ivkić
; Croatian Agricultural Agency, Ilica 101, 10000 Zagreb, Croatia
Maja Dražić
; Croatian Agricultural Agency, Ilica 101, 10000 Zagreb, Croatia
Klemen Potočnik
; University of Ljubljana, Biotechnical Faculty, Department of Animal Science, Groblje 3, 1230 Domžale, Slovenia
Abstract
Milking speed (MS) has a growing importance from a dairy management standpoint. Cows with slow MS require more labour, while cows with fast MS could be in greater risk for udder diseases. Although MS is considered as a trait of importance, little attention has been given to estimate genetic components for MS and its relationship with other traits. The objectives of this study were: 1) to estimate genetic parameters for MS in Croatian Holstein cattle; 2) to use them for the prediction of breeding values; and 3) to estimate proof correlations of MS with production and conformation traits in order to understand the interrelationships among traits. Data included 129,723 test-day records for 35,908 first calving cows taken from the central database of the Croatian Agricultural Agency. Pedigree file consisted of 85,605 animals. In order to improve the normality, logarithmic transformation for MS was used. Variance components where estimated by REML method using VCE 6 program. Statistical model included calving season, milking time, and milk yield class as fixed class effects, while age at first calving and days in milk were fitted as covariates. Random effects were: common herd-test day, permanent environmental and direct additive genetic effect. Common herdtest day and permanent environmental effect accounted 27 % and 15 % of variability. Direct additive genetic effect explained another 14 % of phenotypic variation for MS. Analysis of proof correlations between bulls and cows BV for MS with production and conformation traits showed low to mediate relationships. Most of these proof correlations were positive with an exception of teats length. Genetic evaluation for MS provide useful tool for breeding decisions due to moderate heritability of MS and the trait should be included in the total merit index in the future. In order to determine the appropriate economic weights for MS in the overall index, genetic correlations among MS and production and conformation traits should be estimated.
Keywords
milking speed; Holstein breed; test-day records; genetic parameters; proof correlations
Hrčak ID:
174097
URI
Publication date:
1.2.2017.
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