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Genotype by environment interactions: experience from Langhill

Published online by Cambridge University Press:  27 February 2018

R. F. Veerkamp ,
G. Simm  and
J. D. Oldham
R. F. Veerkamp
Affiliation:
Genetics and Behavioural Sciences Department, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG
G. Simm
Affiliation:
Genetics and Behavioural Sciences Department, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG
J. D. Oldham
Affiliation:
Genetics and Behavioural Sciences Department, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG
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Abstract

Genotype by environment interaction was investigated for a range of traits. Selection (S) and control line (C) cows, housed and managed at the Langhill Dairy Cattle Research Centre, were offered ad libitum complete mixed diets, with proportions (in total dry matter) of concentrates, silage, brewers’ grains of either 20:5:75 (LC; 1.0 t concentrate per annum) or 45 :5 :50 (HC; 2.5 t concentrate), over a full lactation. No diet X genetic line interactions were observed for a range of traits (production, food intake, live weight and condition score) when compared as means. However, regression coefficients of protein yield (P < 0.05), milk yield (P < 0.10) and protein percentage (P < 0.10) on pedigree index for fat plus protein yield were different between LC and HC. Genetic correlations between HC and LC were high for most traits, and only for fat yield was the value below 0-80. Because the rate of increase in energy output from selection is unlikely to be matched by the rate of increase in intake during the first part of the lactation, it was expected that intake capacity is likely to become more important in the future, regardless of the feeding system. For this reason, it is suggested that selecting for a lower live weight whilst simultaneously selecting for increased yield (an approach which has been advocated in some countries) should be treated cautiously. Especially on low input diets increases in yield as a result of continued selection (on higher input diets) may be limited by the rate, or extent of tissue mobilization; under these circumstances health and fertility problems might be the first indicators of such limits being approached.

Type
Research Article
Information
BSAP Occasional Publication , Volume 19: Breeding and Feeding the High Genetic Merit Dairy Cow , 1995 , pp. 59 - 66
Copyright
Copyright © British Society of Animal Production 1995

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References

Agricultural and Food Research Council. 1991. Nutritive requirements of ruminant animals: energy. Technical Committee on Responses to Nutrients, report no. 5. Nutrition Abstracts and Reviews Series B 60: 729–804.Google Scholar
Brotherstone, S. and Hill, W. G. 1986. Heterogeneity of variance amongst herds for milk production. Animal Production 42: 297–303.Google Scholar
Crump, R. E. 1992. Quantitative genetic analysis of a commercial pig population undergoing selection. PhD. thesis, University of Edinburgh.Google Scholar
Danell, B. 1982. Interaction between genotype and environment in sire evaluation for milk production. Acta Agriculturae Scandinavica 32: 33–46.Google Scholar
Dickerson, G. E. 1962. Implication of geneticenvironmental interaction in animal breeding. Animal Production 4:47–63.Google Scholar
Falconer, D. S. 1952. The problem of environment and selection. American Naturalist 86: 293–298.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: 59–86.Google Scholar
Korver, S. 1982. Food intake and production in dairy breeds dependant on the ration. Ph.D. thesis, Agricultural University Wageningen, The Netherlands.Google Scholar
Lamb, R. C., Walters, J. L., Anderson, M. J., Plowman, R. D., Mickelsen, C. H. and Miller, R. H. 1977. Effects of sire and interaction of sire with ration on efficiency of feed utilisation by Holsteins. Journal of Dairy Science 60: 1755–1767.Google Scholar
Lawes Agricultural Trust. 1989. Genstat 5 reference manual. Clarendon Press, Oxford.Google Scholar
Lowman, B. G., Scott, N. and Somerville, S. 1976. Condition scoring of cattle. Revised ed. Bulletin, East Scotland College of Agriculture, no. 6.Google Scholar
Meyer, K. 1987. Estimates of variance due to sire X herd interaction and environmental covariances between paternal half-sibs for first lactation dairy production. Livestock Production Science 17: 95–115.Google Scholar
Oldenbroek, J. K. 1988. Food intake and energy utilisation in dairy cows of different breeds. Ph.D. thesis, Research Institute for Animal Production “Schoonoord”, The Netherlands.Google Scholar
Patterson, H. D. and Thompson, R. 1971. Recovery of interblock information when block sizes are unequal. Biometrika 58: 545–554 Google Scholar
Persaud, P., Simm, G., Parkinson, H. and Hill, W. G. 1990. Relationships between sires’ transmitting for production and daughters’ production, food intake and efficiency in a high-yielding herd. Animal Production 51: 245–253.Google Scholar
Richardson, D. O., Owen, J., Plowman, R. D. and Miles, J. T. 1971. Importance of sires X ration interactions in production and food intake traits of dairy cattle. Journal of Dairy Science 54:1518–1525.Google Scholar
Robertson, A. 1959. The sampling variance of the genetic correlation coefficient. Biometrics 15: 469–485.Google Scholar
Veerkamp, R. F., Emmans, G. C., Simm, G. and Oldman, J. D. 1993. Energy and protein utilisation of cows of high and low genetic merit for milk solids production on a high and low input diet. In Biological basis of sustainable animal production. Proceedings of the Zodiac symposium (ed. Huisman, et al.), European Association of Animal Production publication no. 67 (1994), Wageningen Pers, The Netherlands, pp. 154–160.Google Scholar
Veerkamp, R. F., Emmans, G. C., Cromie, A. R. and Simm, G. 1995a. Variance components for residual feed intake in dairy cows. Livestock Production Science In press.Google Scholar
Veerkamp, R. F., Emmans, G. C. and Simm, G. 1994b. Sources of genetic variation in efficiency of dairy cows. Proceedings of the meeting of the European Association of Animal Production, Edinburgh, paper no. NGC4.3. Google Scholar
Veerkamp, R. F., Emmans, G. C., Simm, G. and Oldham, J. D. 1994c. Energy and protein utilisation of cows of high and low genetic merit for milk solids production on a high and low input diet. Biological basis of sustainable animal production (ed. Huisman et al.), proceedings of the Zodiac symposium, Wageningen, the Netherlands, 1993. European Association of Animal Production publication no. 67, pp. 154–160.Google Scholar
Veerkamp, R. F., Simm, G. and Oldham, J. D. 1994d. Effects of interaction between genotype and feeding system on milk production, feed intake, efficiency and body tissue mobilisation in dairy cows. Livestock Production Science 39: 229–241.Google Scholar
Visscher, P. M. 1991. Estimation of genetic parameters in dairy cattle using an animal model and implications for genetic improvement. Ph.D. thesis, University of Edinburgh.Google Scholar
Wang, S., Roy, G. L., Lee, A. J., McAllister, A. J., Batra, T. R., Lin, C. Y., Vesely, J. A., Wauthy, J.-M. and Winter, K. A. 1992. Genetic line X concentrate level interactions for milk production and feed efficiency in dairy cattle. Canadian journal of Animal Science 72: 227–236.Google Scholar
Werf, J. H. J. Van der, and Napel, J. ten, . 1991. Estimation of genotype-environment interaction for milk production under Dutch circumstances. Proceedings of the forty-second annual meeting of the European Association of Animal Productions, Berlin.Google Scholar