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The effect of cow genetic index and grass-based feeding system on the performance of spring-calving Holstein-Friesian cows in second lactation

Published online by Cambridge University Press:  27 February 2018

P. Dillon
Affiliation:
Teagasc, Dairy Production Research Centre, Fermoy, Co. Cork, Ireland
F. Buckley
Affiliation:
Teagasc, Dairy Production Research Centre, Fermoy, Co. Cork, Ireland
S. Snijders
Affiliation:
Teagasc, Dairy Production Research Centre, Fermoy, Co. Cork, Ireland
S. Crosse
Affiliation:
Teagasc, Dairy Production Research Centre, Fermoy, Co. Cork, Ireland
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Abstract

The objective of this study was to investigate the effect of both cow genetic index (CGI) and feeding system on the performance of second lactation Holstein-Friesian dairy cows on grass-based feeding systems. There was no interaction between CGI and feeding system for any of the parameters measured. Cows of high genetic index (HGI) produced significantly higher yields of milk (P < 0.001), fat (P < 0.001) protein (P < 0.0001) and lactose (P < 0.001) than medium genetic index cows (MGI). CGI had no effect on the concentration of milk constituents. Averaged across four intake measurements the HGI cows had significantly (P < 0.001) higher grass dry-matter intake (GDMI) and total dry-matter intake (TDMI). Live weight was similar for both genotypes during lactation. The HGI cows had significantly (P < 0.05) higher live-weight loss in the first 10 weeks of lactation, significantly lower live-weight gain from week 10 to the end of lactation and higher (P < 0.05) live-weight gain during the dry period. Condition score was significantly lower with the HGI (P < 0.001) at all stages of lactation. There was a higher proportion (P < 0.05) of the HGI cows non-pregnant at the end of the 13-week breeding season. Feeding system had a significant effect on the yield of milk (P < 0.001), fat (P < 0.001), protein (P < 0.001) and lactose (P < 0.001). Feeding system B produced significantly higher (P < 0.05) milk yield and yield of constituents (when compared with feeding systems A and C). Over the period when feeding systems were being applied, feeding system C had significantly higher (P < 0.05) milk protein concentration. Feeding system had a significant effect (P < 0.001) on both GDMI and TDMI. Feeding system had no effect on live weight, condition score or fertility performance.

Type
Research Article
Copyright
Copyright © British Society of Animal Science 1999

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References

Bryant, A. M. 1983. Effects of breeding index on the performance of non-lactating Jersey cattle dairy farm productivity. Proceedings of the New Zealand Society of Animal Production 43: 6366.Google Scholar
Coffey, M. 1992. Genetic trends — has progress been made in the last six years? Holstein Friesian Journal 74:6263.Google Scholar
Dillon, P., Crosse, S., Stakelum, G. and Flynn, F. 1995. The effect of calving date and stocking rate on the performance of spring-calving dairy cows. Grass and Forage Science 50: 286299.CrossRefGoogle Scholar
Dillon, P. and Stakelum, G. 1989. Herbage and dosed alkanes as a grass measurement technique for dairy cows. Irish Journal of Agricultural Research 28: 104 (abstr.).Google Scholar
Funk, D. A. 1993. Optimal genetic improvement for the high producing herd. Journal of Dairy Science 76: 32783286.Google Scholar
Geenty, K. G. and Sykes, A. R. 1982. Influences of herbage allowance on diet quality in lactating ewes. Proceedings of the New Zealand Society of Animal Production 42:161163.Google Scholar
Gordon, F. J., Patterson, D.C., Yan, T., Proter, M. G., Mayne, C. S. and Unsworth, E.F. 1995. The influence of genetic index for milk production on the response to complete diet feeding and the utilization of energy and protein. Animal Science 61:199210.Google Scholar
Grainger, C., Davey, A. W. F. and Holmes, C. W. 1985. The performance of Friesian cows with high and low breeding indexes. Animal Production 40:379388.Google Scholar
Hoden, A., Peyraud, J. L., Muller, A. and Faverdin, P. 1991. Simplified rotational grazing management of dairy cows: effects of rates of stocking and concentrate. Journal of Agricultural Science, Cambridge 116:417428.Google Scholar
Jefferies, B. C., 1961. Body condition scoring and its use in management. Tasmanian Journal of Agriculture 32:1921.Google Scholar
Journet, M. and Demarquilly, C. 1979. Grazing. In: Feeding strategy for the high yielding cow. (ed. Brooster, W. H. and Swan, H.), pp. 295321. Granada, London.Google Scholar
Leaver, J. D., Campling, R.C. and Holmes, W. 1968. Use of supplementary feeds for grazing dairy cows. Dairy Science Abstracts 30:355361.Google Scholar
Mayes, R. W., Lamb, C. S. and Colgrove, P. A. 1986. The use of dosed herbage n-alkanes as markers for the determination of herbage intake. Journal of Agricultural Science, Cambridge 107:161170.Google Scholar
Meijs, J. A. C. and Hoekstra, J. A. 1984. Concentrate supplementation of grazing cows. 1. Effect of concentrate intake and herbage allowance on herbage intake. Grass and Forage Science 39:5966.Google Scholar
O’Farrell, K. J. 1985. An assessment of reproductive performance in the Moorepark dairy herds through computerised analysis of fertility events. Moorepark farmers’ conference, pp. 114. An Foras Taluntais.Google Scholar
Seykora, A. J. and McDaniel, B. T. 1983. Heritabilities and correlations of lactation yields and fertility for Holsteins. Journal of Dairy Science 66:14861493.CrossRefGoogle ScholarPubMed
Statistics Analysis Systems Institute. 1991. User’s guide: statistics. Statistical Analysis Systems Institute, Cary, NC.Google Scholar
Tyrrell, H. F. and Reid, J. T. 1965. Prediction of the energy value of milk. Journal of Dairy Science 48:12151223.Google Scholar
Veerkamp, R. F. and Brotherstone, S. 1997. Genetic correlations between linear type traits, feed intake, live weight and condition score in Holstein Friesian dairy cattle. Journal of Animal Science 64:385392.Google Scholar
Veerkamp, R. F., Simm, G. and Oldham, J. D. 1994. 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: 229241.Google Scholar