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Predicting food intake in dairy heifers from early lactation records

Published online by Cambridge University Press:  02 September 2010

G. Simm ,
P. Persaud ,
D. R. Neilson ,
H. Parkinson  and
B. J. McGuirk
G. Simm
Affiliation:
Scottish Agricultural College, Edinburgh School of Agriculture, West Mains Road, Edinburgh EH9 3JG
P. Persaud
Affiliation:
Scottish Agricultural College, Edinburgh School of Agriculture, West Mains Road, Edinburgh EH9 3JG
D. R. Neilson
Affiliation:
Scottish Agricultural College, Edinburgh School of Agriculture, West Mains Road, Edinburgh EH9 3JG
H. Parkinson
Affiliation:
Scottish Agricultural College, Edinburgh School of Agriculture, West Mains Road, Edinburgh EH9 3JG
B. J. McGuirk
Affiliation:
Genus MOET Nucleus Herd, Bays Leap Farm, Heddon-on-the-Wall, Newcastle-upon-Tyne NE15 0JW
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Abstract

Nucleus breeding schemes for dairy cattle give opportunities for selection on characteristics other than milk production, such as food intake or efficiency, and for the application of reproductive technologies such as embryo transfer. The emphasis in such schemes involving embryo transfer will be on early lactation measurements of production and food intake, to minimize generation intervals. The aim of this study was to examine the value of early lactation measurements of food intake and other characteristics in predicting longer-term food intake. Intakes of a complete diet, offered ad libitum, were available for 101 heifers up to week 38 of lactation, from the Edinburgh School of Agriculture's Langhill herd. Partial correlations between weekly dry-matter (DM) or metabolizable energy (ME) intakes in early lactation and cumulated intakes to week 38 of lactation, after fitting year and month of calving as fixed effects, and proportion of Holstein blood as a covariate, ranged from 0·27 for week 1, to 0·70 for week 12. Cumulated ME intakes, up to week 38, were regressed on shorter measures of ME intake, together with fat plus protein yield in weeks 1 to 10 of lactation. Other independent variables, such as point estimates of, or changes in, live weight, condition score and backfat depth did not further increase the precision of prediction. The means and standard deviations for milk yield, DM intake and ME intake up to week 38 of lactation were 5877 (s.d. 1087) kg, 4070 (s.d. 400) kg and 51579 (s.d. 4614) MJ respectively. For a fixed duration of intake recording, measurements taken later in lactation gave the most precise prediction of 38-week ME intake (e.g. residual s.d.s from models including 4-week cumulated ME intakes in weeks 1 to 4, 3 to 6 and 5 to 8 of lactation were 2865, 2636 and 2501 MJ respectively, with R2 values of 0·62, 0·67 and 0·71). Shorter periods of intake recording started in week 5 of lactation gave slightly more precise prediction than longer periods of recording started in weeks 1 to 4 (e.g. residual s.d.s from models including cumulative ME intakes in weeks 1 to 10, 3 to 10 and 5 to 10 were 2391, 2298 and 2277 respectively, with R2 values of 0·69, 0·75 and 0·76). These results have implications for the cost: benefit of food intake recording in breeding schemes.

Keywords

dairy cowsfood intakemilk productionselection
Type
Research Article
Information
Animal Production , Volume 52 , Issue 3 , June 1991 , pp. 421 - 434
Copyright
Copyright © British Society of Animal Science 1991

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References

REFERENCES

Agricultural Research Council. 1980. The Nutrient Requirements of Ruminant Livestock. Commonwealth Agricultural Bureaux, Slough.Google Scholar
Crawford, P. 1987. Tissue mobilisation in early lactation in dairy cows. M.Sc. Dissertation, University of Edinburgh.Google Scholar
Emmans, G. C. and Neilson, D. R. 1984. A sufficient description of a cow and its feed requirements to attain its potential. 35th Annual Meeting of the European Association of Animal Production, The Hague. Animal Genetics Study Commission.Google Scholar
Forbes, J. M., Jackson, D. A., Johnson, C. L., Stockhill, P. and Hoyll, B. S. 1986. A method for the automatic monitoring of food intake and feeding behaviour of individual cows kept in a group. Research and Development in Agriculture 3: 175–180.Google Scholar
Gibson, J. P. 1986. Efficiency and performance of genetically high and low milk-producing British Friesian and Jersey cattle. Animal Production 42: 161–182.Google Scholar
Gibson, J. P. 1987. Part-lactation predictors of complete lactation milk-energy yield, food intake and food conversion efficiency. Livestock Production Science 17: 323–335.CrossRefGoogle Scholar
Hind, E. 1979. The efficiency of milk production. Animal Breeding Research Organisation Report, 1979, pp. 25–28. Agricultural Research Council.Google Scholar
Hinks, C. J. M. 1978. The use of centralised breeding schemes in dairy cattle improvement. Animal Breeding Abstracts 46: 291–297.Google Scholar
Hooven, N. W., Miller, R. H. and Smith, J. W. 1972. Relationships among whole- and part-lactation gross feed efficiency, feed consumption, and milk yield. Journal of Dairy Science 55: 1113–1122.CrossRefGoogle Scholar
Korver, S. 1988. Genetic aspects of feed intake and feed efficiency in dairy cattle: a review. Livestock Production Science 20: 1–13.CrossRefGoogle Scholar
Lawes Agricultural Trust. 1988. Genstat V, Mark 5. Rothamsted Experimental Station, Harpenden.Google Scholar
McGuirk, B. J. 1990. Operational aspects of a MOET nucleus dairy breeding scheme. Proceedings 4th World Congress on Genetics Applied to Livestock Production, Vol. XIV, pp. 259–262.Google Scholar
Milk Marketing Board. 1990. Report of the Farm Services Division 1988/89. No. 39. MMB, Thames Ditton, Surrey.Google Scholar
Persaud, P. and Simm, G. 1991. Genetic and phenotypic parameters for yield, food intake and efficiency of dairy cows fed ad libitum. 2 Estimates for part lactation measures and their relationships with ‘total’ lactation measures. Animal Production. 52: 445–450.Google Scholar
Persaud, P., Simm, G., Parkinson, H. and Hill, W. G. 1990. Relationships between sires' transmitting ability for production and daughter's production, food intake and efficiency in a high-yielding dairy herd. Animal Production 51: 245–253.Google Scholar
Ruane, J. and Thompson, R. 1989. Simulation of an adult multiple ovulation and embryo transfer (MOET) nucleus breeding scheme in dairy cattle. In New Selection Schemes in Cattle: Nucleus Programmes. European Association for Animal Production Publication No. 44, pp. 72–80. Pudoc, Wageningen.Google Scholar
Simm, G. and Neilson, D. R. 1986. The Langhill Dairy Cattle Breeding Project. British Cattle Breeders Club Digest 41: 65–76.Google Scholar
Tyrrell, H. F. and Reid, J. T. 1965. Prediction of the energy value of cows' milk. Journal of Dairy Science. 48: 1215–1223.CrossRefGoogle Scholar
Wilmink, J. B. M. 1987. Efficiency of selection for different cumulative milk, fat and protein yields in first lactation. Livestock Production Science 17: 211–224.CrossRefGoogle Scholar
Woolliams, J. A. and Smith, C. 1988. The value of indicator traits in the genetic improvement of dairy cattle. Animal Production 46: 333–345.CrossRefGoogle Scholar