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Genetic and environmental causes of variation in milk production traits of Sahiwal cattle in Pakistan

Published online by Cambridge University Press:  02 September 2010

A. Dahlin ,
U. N. Khan ,
A. H. Zafar ,
M. Saleem ,
M. A. Chaudhry  and
J. Philipsson
A. Dahlin
Affiliation:
Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, S-750 07 Uppsala, Sweden
U. N. Khan
Affiliation:
Animal Production Institute, National Agricultural Research Centre, Islamabad 45500, Pakistan
A. H. Zafar
Affiliation:
Livestock Production Research Institute, Bahadurnagar, Okara, Pakistan
M. Saleem
Affiliation:
Livestock Production Research Institute, Bahadurnagar, Okara, Pakistan
M. A. Chaudhry
Affiliation:
Livestock Production Research Institute, Bahadurnagar, Okara, Pakistan
J. Philipsson
Affiliation:
Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, S-750 07 Uppsala, Sweden
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Abstract

Data from about 4000 Sahiwal cows from eight large herds in Pakistan were used to study the influence of genetic and environmental factors on some milk production traits. First-lactation mean values were 1363 kg, 1395 kg and 252 days for milk yield up to 305 days after calving, total lactation yield and lactation length, respectively. Second and third lactation yields were proportionately 0·12 and 0·18 higher, respectively, at 305 days. The effect of herd-year at calving was by far the most important source of variation for all traits. Heritabilities estimated in uni- and trivariate analyses, using restricted maximum likelihood (REML) with an expectation maximization algorithm for an animal model, ranged from 0·14 to 0·17 for first-lactation traits. The estimates were generally lower for second lactation and higher for third lactation traits. Genetic correlation between lactations for the same trait were close to unity, whilst the phenotypic were considerably lower. Repeatabilities for milk yield traits were 0·42 and for lactation length 0·31. Genetic and phenotypic correlations between first-lactation 305-day milk yield and lactation length were 0·83 and 0·71, respectively. Genetic trends for all traits were close to zero but a substantial deterioration in performance, caused by negative environmental factors, was observed. Although the heritabilities were low, the prospects for genetic improvement are good, as indicated by a rather large additive genetic variation. A multivariate animal model, including the first three lactations of 305-day milk yield, was recommended for the most accurate prediction of breeding values for milk production.

Keywords

environmental factorsgenetic parametersmilk productionSahiwal

Information

Type
Research Article
Information
Animal Science , Volume 66 , Issue 2 , April 1998 , pp. 307 - 318
Copyright
Copyright © British Society of Animal Science 1998

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References

Ahmad, Z., Ahmad, M. D. and Gill, R. A. 1974. Hereditary variation in reproductive traits of Sahiwal cattle Pakistan Journal ofAgricultural Sciences 11:1–8.Google Scholar
Ahmad, Z., Ahmad, M. D., Qureshi, A. W., Gill, R. A. and Fahmy, S. K. 1978. Genetic progress through selection in performance traits of Sahiwal cattle Agricultural Research Review, Egypt 56:1–6.Google Scholar
Ahmad, Z., Ahmed, W., Ahmad, M. D. and Chaudhry, R. A. 1976. Inheritance of milk yield in Sahiwal cows. Pakistan Journal ofAgricultural Sciences 13: 57–62.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.CrossRefGoogle ScholarPubMed
Boldman, K. G. and Freeman, A. E. 1990. Adjustment for heterogeneity of variances by herd production level in dairy cow and sire evaluation Journal of Dairy Science 73: 503–512.CrossRefGoogle Scholar
Campos, M. S., Wilcox, C. J., Becerril, C. M. and Diz, A. 1994. Genetic parameters for yield and reproductive traits of Holstein and Jersey cattle in Florida Journal of Dairy Science 77: 867–873.CrossRefGoogle ScholarPubMed
Chaudhry, M. Z. 1988. Progeny testing of Sahiwal bulls. Journal ofAnimal Health and Production, Pakistan 8: 64–71.Google Scholar
Christensen, L. G., Madsen, P. and Petersen, J. 1982. The influence of incorrect sire identification on the estimates of genetic parameters and breeding values. Proceedings of the second world congress on genetics applied to livestock Madrid, vol. 7, pp. 200–208.Google Scholar
Dahlin, A., Khan, U. N., Zafar, A. H., Saleem, M., Chaudhry, M. A. and Philipsson, J. 1995. Population structure of the Sahiwal breed in Pakistan Animal Science 60:163–168.CrossRefGoogle Scholar
Falconer, D. S. 1981. Introduction to quantitative genetics, second edition. Longman, Harlow.Google Scholar
Food and Agriculture Organization. 1992. The management ofglobal animal genetic resources. FAO animal production health paper, no. 104. Food and Agriculture Organization of the United Nations, Rome.Google Scholar
García-Cortés, L. A., Moreno, C., Varona, L., Rico, M. and Altarriba, J. 1995. (Co)variance component estimation of yield traits between different lactations using an animal model Livestock Production Science 43:111–117.CrossRefGoogle Scholar
Groeneveld, E. and Kovac, M. 1990. A generalized computing procedure for setting up and solving mixed linear models Journal of Dairy Science 73:513–531.CrossRefGoogle Scholar
Hill, W. G. 1984. On selection among groups with heterogeneous variance Animal Production 39: 473–477.Google Scholar
Hill, W. G., Edwards, M. R., Ahmed, M.-K. A. and Thompson, R. 1983. Heritability of milk yield and composition at different levels and variability of production Animal Production 36: 59–68.Google Scholar
Jensen, J. and Madsen, P. 1994. DMU: a package for the analysis of multivariate mixed models. Proceedings of the fifth world congress on genetics applied to livestock Guelph, vol. 22, pp. 45–46.Google Scholar
Jensen, J., Mantysaari, E. A., Madsen, P. and Thompson, R. 1996–1997. 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: (Golden Jubileum No.) 215–236.Google Scholar
Kennedy, B. W., Schaeffer, L. R. and Sorensen, D. A. 1988. Genetic properties of animal models. Journal of Dairy Science 71: (suppl. 2) 17–26.CrossRefGoogle Scholar
Lin, C. Y. and Lee, A. J. 1986. Sequential estimation of genetic and phenotypic parameters in multitrait mixed model analysis Journal of Dairy Science 69: 2696–2703.CrossRefGoogle ScholarPubMed
Madalena, F. E. 1988. A note on the effect of variation of lactation length on the efficiency of tropical cattle selection for milk yield Theoretical and Applied Genetics 76: 830–834.CrossRefGoogle ScholarPubMed
Maule, J. P. 1990. The cattle of the tropics. University of Edinburgh Centre for Tropical Veterinary Medicine, Edinburgh.Google Scholar
Meuwissen, T. H. E. and Werf, J. H. J. van der. 1993. Impact of heterogeneous within herd variances on dairy cattle breeding schemes: a simulation study Livestock Production Science 33: 31–41.CrossRefGoogle Scholar
Misztal, I. 1994. Comparison of computing properties of derivative and derivative-free algorithms in variance-component estimation by REML Journal of Animal Breeding and Genetics 111: 346–355.CrossRefGoogle ScholarPubMed
Morales, F., Blake, R. W., Stanton, T. L. and Hahn, M. V. 1989. Effects of age, parity, season of calving, and sire on milk yield of Carora cows in Venezuela Journal of Dairy Science 72: 2161–2169.CrossRefGoogle ScholarPubMed
Poso, J. and Mantysaari, E. A. 1996. Genetic relationships between reproductive disorders, operational days open and milk yield Livestock Production Science 46: 41–48.CrossRefGoogle Scholar
Ptak, E. and Schaeffer, L. R. 1993. Use of test day yields for genetic evaluation of dairy sires and cows Livestock Production Science 34: 23–34.CrossRefGoogle Scholar
Qureshi, M. R., Tahir, M. and Ahmed, W. 1979. Genetic factors influencing milk yield in Sahiwal cows, journal of Animal Sciences, Pakistan 1:45–48.Google Scholar
Reddy, K. M. and Nagarcenkar, R. 1989. Genetic studies among indigenous milch cattle Indian Veterinary journal 66: 825–829.Google Scholar
Rege, J. E. O., Lomole, M. A. and Wakhungu, J. W. 1992. An evaluation of a long-term breeding programme in a closed Sahiwal herd in Kenya. I. Effects of non-genetic factors on performance and genetic parameter estimates. journal ofAnimal Breeding and Genetics 109: 364–373.CrossRefGoogle Scholar
Rege, J. E. O. and Wakhungu, J. W. 1992. An evaluation of a long-term breeding programme in a closed Sahiwal herd i n Kenya. II. Genetic and phenotypic trends and levels of inbreeding, journal of Animal Breeding and Genetics 109: 374–384.CrossRefGoogle Scholar
Ribas, M. and Perez, B. 1990. Monthly test day milk records and yield at 244 days. II. Genetic parameters in first lactation. Cuban Journal of Agricultural Science 24:139–144.Google Scholar
Schaar, J., Brannang, E. and Meskel, L. B. 1981. Breeding activities of the Ethio-Swedish integrated rural development project. II. Milk production of zebu and crossbred cattle. World Animal Review 37: 31–36.Google Scholar
Shah, I. H. and Zafar, A. H. 1986. Inheritance of age at first calving and first lactation yield in Sahiwal cows Pakistan Veterinary journal 6: 60–62.Google Scholar
Short, T. H., Blake, R. W., Quaas, R. L. and Vleck, L. D. van. 1990. Heterogeneous within-herd variance. 1. Genetic parameters for first and second lactation milk yields of grade Holstein cows. Journal of Dairy Science 73: 3312–3320.CrossRefGoogle Scholar
Sigurdsson, A., Banos, G. and Philipsson, J. 1992. Sire evaluation procedures for dairy production traits practised various countries, 1992. INTERBULL bulletin no. 5. Swedish University of Agricultural Sciences, Uppsala.Google Scholar
Sorensen, D. A. and Kennedy, B. W. 1984. Estimation of genetic variances from unselected and selected populations. Journal ofAnimal Science 59: 1213–1223.Google Scholar
Strandberg, E. and Danell, B. 1989. Genetic and phenotypic parameters for production and days open in the first three lactations of Swedish dairy cattle Acta Agricultures Scandinavica 39: 203–215.CrossRefGoogle Scholar
Syrstad, O. 1993. Milk yield and lactation length in tropical cattle. World Animal Review 74/75: 68–72.Google Scholar
Visscher, P. M. and Thompson, R. 1992a. Univariate and multivariate parameter estimates for milk production traits using an animal model. I. Description and results of REML analyses. Genetics, Selection, Evolution 24: 415–430.CrossRefGoogle Scholar
Visscher, P. M. and Thompson, R. 1992b. Comparisons between genetic variances estimated from different types of relatives in dairy cattle. Animal Production 55: 315–320.Google Scholar