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Genetic correlations among female fertility traits and milk production in different parities in Swedish dairy cattle

Published online by Cambridge University Press:  27 February 2018

A. Roth ,
E. Strandberg ,
B. Berglund ,
U. Emanuelson  and
J. Philipsson
A. Roth
Affiliation:
Centre for Reproductive Biology and Department of Animal Breeding and Genetics, Box 7023, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden
E. Strandberg
Affiliation:
Centre for Reproductive Biology and Department of Animal Breeding and Genetics, Box 7023, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden
B. Berglund
Affiliation:
Centre for Reproductive Biology and Department of Animal Breeding and Genetics, Box 7023, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden
U. Emanuelson
Affiliation:
Interbull Centre, Box 7023, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden
J. Philipsson
Affiliation:
Centre for Reproductive Biology and Department of Animal Breeding and Genetics, Box 7023, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden
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Abstract

The main objective of this study was to estimate genetic correlations between fertility and production in first and second lactations as well as between fertility traits measured in the same way at different ages. The analyses were carried out for Swedish Red and White cows born from 1986 to 1996, in total about 578 000, 430 000, and 221 000 records in the heifer period, first lactation and second lactation, respectively. The fertility traits studied were: interval between calving and first insemination (CFI), interval between calving and last insemination (CLI), number of inseminations per service period (NINS) and number of treatments for reproductive disturbances (NREPT). Production was measured as the average of the energy-corrected milk yield from the second and third test-days in a lactation (ECM23). A linear, bivariate model that included effects of herd-year, month, age, and sire of the cow was applied. A relationship matrix containing sire and maternal grandsire of the sire was included. The (co)variance components for the random effects were estimated by use of a restricted maximum likelihood algorithm. The genetic correlations between fertility traits and production within first and second lactation were in the range of 0.1 to 0.3, all of them unfavourable. However, the genetic correlation between NREPT and ECM23 was close to zero within both lactations. The heritabilities, calculated without the herd-year variance included in the phenotypic variance, varied between 0.02 and 0.06 for the fertility traits with only minor differences between first and second lactation. The heritability of ECM23 was 0.35 in the first lactation and 0.28 in the second lactation. The genetic correlation between NINS during the heifer period and in first lactation was high, 0.7. The heritabilities for NINS and NREPT during the heifer period were very low, <0.01. In conclusion, there were only minor differences in inter-relationships between fertility and production in first and second lactation and the traits were negatively associated with each other. Based on the genetic correlation between NINS in the heifer period and NINS in first lactation, this study indicated that the traits at least partly are regulated by different sets of genes.

Type
Research Article
Information
BSAP Occasional Publication , Volume 24: Metabolic stress in dairy cows , 1999 , pp. 177 - 181
Copyright
Copyright © British Society of Animal Science 1999

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References

Arendonk, J. A. M. van, Hovenier, R. and Boer, W.de. 1989. Phenotypic and genetic association between ferility and production in dairy cows. Livestock Production Science 21: 1–12.Google Scholar
Bagnato, A. and Oltenacu, P. A. 1993. Genetic study of fertility traits and production in different parities in Italian Friesian cattle. Journal of Animal Breeding and Genetics 110: 126–134.Google Scholar
Berger, P. J., Shanks, R. D., Freeman, A. E. and Laben, R. C. 1981. Genetic aspects of milk yield and reproductive performance. Journal of Dairy Science 64:114–122.CrossRefGoogle Scholar
Boichard, D. 1990. Estimation of the economic value of conception rate in dairy cattle. Livestock Production Science 24:187–204.CrossRefGoogle Scholar
Hansen, L.B., Freeman, A. E. and Berger, P. J. 1983. Yield and fertility relationships in dairy cattle. Journal of Dairy Science 66:293–305.Google Scholar
Hoekstra, J., Lugt, A. W. van der, Werf, J. H. J. van der and Ouweltjes, W. 1994. Genetic and phenotypic parameters for milk production and fertility traits in upgraded dairy cattle. Livestock Production Science 40:225–232.Google Scholar
Jansen, J., Werf, J. van der and Boer, W. de. 1987. Genetic relationships between fertility traits for dairy cows in different parities. Livestock Production Science 17: 337–349.Google Scholar
Janson, L. and Andréasson, B. 1981. Studies on fertiltiy traits in Swedish dairy cattle. IV. Genetic and phenotypic correlation between milk yield and fertility. Acta Agriculturæ Scandinavica 31:313–322.CrossRefGoogle Scholar
Jensen, J. and Madsen, P. 1993. User’s guide to DMU — a package for analyzing multivariate mixed models. National Institute of Animal Science, Foulum, Denmark.Google Scholar
Jensen, J. and Madsen, P. 1994. DMU: a package for analyzing multivariate mixed models. Proceedings of the fifth world congress on genetics applied to livestock production, Guelph, vol. 22, pp. 45–46.Google Scholar
Jensen, J., Mäntysaari, E. A., Madsen, P. and Thompson, R. 1996. Residual maximum likelihood estimation of (co)variance components in multivariate mixed linear models using average information. Journal of the Indian Society of Agricultural Statistics 49:215–236.Google Scholar
Koenen, E. P.C., Berglund, B., Philipsson, J. and Groen, A. F. 1994. Genetic parameters of fertility disorders and mastitis in the Swedish Friesian breed. Acta Agriculturæ Scandinavica 44:202–207.Google Scholar
Oltenacu, P. A., Frick, A. and Lindhé, B. 1991. Relationship of fertility to milk yield in Swedish cattle. Journal of Dairy Science 74:264–268.CrossRefGoogle ScholarPubMed
Pösö, J. and Mäntysaari, E. A. 1996. Genetic relationships between reproductive disorders, operational days open and milk yield. Livestock Production Science 46:41–48.CrossRefGoogle Scholar
Svensk, Husdjursskötsel. 1997. Årsstatistik SHS 95/96. Meddelande nr 176. Svensk Mjölk, Hållsta, SE-631 84 Eskilstuna.Google Scholar