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Analysis of feed intake and energy balance of high-yielding first lactating Holstein cows with fixed and random regression models

Published online by Cambridge University Press:  16 October 2008

H. Hüttmann
Affiliation:
Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany
E. Stamer
Affiliation:
TiDa Tier und Daten GmbH, 24259 Westensee/Brux, Germany
W. Junge*
Affiliation:
Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany
G. Thaller
Affiliation:
Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany
E. Kalm
Affiliation:
Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany
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Abstract

At the dairy research farm Karkendamm, the individual roughage intake was measured since 1 September 2005 using a computerised scale system to estimate daily energy balances as the difference between energy intake and calculated energy requirements for lactation and maintenance. Data of 289 heifers with observations between the 11th and 180th day of lactation over a period of 487 days were analysed. Average energy-corrected milk yield, feed intake, live weight and energy balance were 31.8kg, 20.6kg, 584 kg and 13.6 MJ NEL (net energy lactation), respectively, per day. Fixed and random regression models were used to estimate repeatabilities, correlations between cow effects and genetic parameters. The resulting genetic correlations in different lactation stages demonstrate that feed intake and energy balance at the beginning and the middle of lactation are genetically different traits. Heritability of feed intake is low with h2=0.06 during the first days after parturition and increases in the middle of lactation, whereas the energy balance shows the highest heritability with h2=0.34 in the first 30 days of lactation. Genetic correlations between energy balance and feed intake and milk yield, respectively, illustrate that energy balance depends more on feed intake than on milk yield. Genetic correlation between body condition score and energy balance decreases rapidly within the first 100 days of lactation. Hence, to avoid negative effects on health and reproduction as consequences of strong energy deficits at the beginning of lactation, the energy balance itself should be measured and used as a selection criterion in this lactation stage. Since the number of animals is rather small for a genetic analysis, the genetic parameters have to be evaluated on a more comprehensive dataset.

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Full Paper
Copyright
Copyright © The Animal Consortium 2008

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References

Ali, TE, Schaeffer, LR 1987. Accounting for covariances among test day milk yields in dairy cows. Canadian Journal of Animal Science 67, 637644.CrossRefGoogle Scholar
Ammon, C, Spilke, J 2004. Vergleich von Fixed- und Random-regression Modellen bei verschiedenen Funktionsansätzen für Laktationskurven zur Vorhersage der Milchleistung. GIL-meeting 2004. Bonn, Germany, pp. 149–152.Google Scholar
Banos, G, Coffey, MP, Brotherstone, S 2005. Modeling daily energy balance of dairy cows in the first three lactations. Journal of Dairy Science 88, 22262237.CrossRefGoogle ScholarPubMed
Beerda, B, Ouweltjes, W, Šebek, LBJ, Winding, JJ, Veerkamp, RF 2007. Effects of genotype by environment interactions on milk yield, energy balance, and protein balance. Journal of Dairy Science 90, 219228.CrossRefGoogle ScholarPubMed
Berry, DP, Horan, B, O’Donovan, M, Buckley, F, Kennedy, E, McEvoy, M, Dillon, P 2007. Genetics of grass dry matter intake, energy balance, and digestibility in grazing Irish dairy cows. Journal of Dairy Science 90, 48354845.CrossRefGoogle ScholarPubMed
Buckley, F, Dillon, P, Rath, M, Veerkamp, RF 2000. The relationship between genetic merit for yield and live weight, condition score, and energy balance of spring calving Holstein Friesian dairy cows on grass based systems of milk production. Journal of Dairy Science 83, 18781886.CrossRefGoogle ScholarPubMed
Chestnutt, DMB 1987. Effect of high-protein supplements on the utilization of body reserves by single-suckling cows. Animal Production 45, 1522.Google Scholar
Coffey, MP, Emmans, GC, Brotherstone, S 2001. Genetic evaluation of dairy bulls for energy balance traits using random regression. Animal Science 73, 2940.CrossRefGoogle Scholar
Coffey, MP, Simm, G, Brotherstone, S 2002. Energy balance profiles for the first three lactations of dairy cows estimated using random regression. Journal of Dairy Science 85, 26692678.CrossRefGoogle ScholarPubMed
Coffey, MP, Simm, G, Hill, WG, Brotherstone, S 2003. Genetic evaluations of dairy bulls for daughter energy balance profiles using linear type scores and body condition score analyzed using random regression. Journal of Dairy Science 86, 22052212.CrossRefGoogle ScholarPubMed
Collard, BL, Boettcher, PJ, Dekkers, JCM, Petitclerc, D, Schaeffer, LR 2000. Relationships between energy balance and health traits of dairy cattle in early lactation. Journal of Dairy Science 83, 26832690.CrossRefGoogle ScholarPubMed
Dechow, CD, Norman, HD 2007. Within-herd heritability estimated with daughter–parent regression for yield and somatic cell score. Journal of Dairy Science 90, 482492.CrossRefGoogle ScholarPubMed
de Vries, MJ, Veerkamp, RF 2000. Energy balance of dairy cattle in relation to milk production variables and fertility. Journal of Dairy Science 83, 6269.CrossRefGoogle ScholarPubMed
Ferrell, CL, Jenkins, TG 1984. Energy utilization by mature, nonpregnant, nonlactating cows of different types. Journal of Animal Science 58, 234243.CrossRefGoogle ScholarPubMed
Franzolin, R, Dehority, BA 1996. Effect of prolonged high-concentrate feeding on ruminal protozoa concentrations. Journal of Animal Science 74, 28032809.CrossRefGoogle ScholarPubMed
Gibb, MJ, Ivings, WE, Dhanoa, MS, Sutton, JD 1992. Changes in body components of autumn-calving Holstein–Friesian cows over the first 29 weeks of lactation. Animal Production 55, 339360.Google Scholar
Karacaören, B, Jaffrézic, F, Kadarmideen, HN 2006. Genetic parameters for functional traits in dairy cattle from daily random regression models. Journal of Dairy Science 89, 791798.CrossRefGoogle ScholarPubMed
Kaufmann, O, Azizi, O, Hasselmann, L 2007. Untersuchungen zum Fressverhalten hochleistender Milchkühe in der Frühlaktation. Züchtungskunde 79, 219230.Google Scholar
Kertz, AF, Reutzel, LF, Thomson, GM 1991. Dry matter intake from parturition to midlactation. Journal of Dairy Science 74, 22902295.CrossRefGoogle ScholarPubMed
Koenen, EPC, Veerkamp, RF 1998. Genetic covariance functions for live weight, condition score, and dry-matter intake measured at different lactation stages of Holstein Friesian heifers. Livestock Production Science 57, 6777.CrossRefGoogle Scholar
Kovacˆ M, Groeneveld E and García-Cortés LA 2002. VCE-5, a package for estimation of dispersion parameters. In Proceedings of the Seventh World Congress on Genetics Applied to Livestock Production, vol. 33, pp. 741–742.Google Scholar
Lucy, MC 2001. Reproductive loss in high-producing dairy cattle: where will it end? Journal of Dairy Science 84, 12771293.CrossRefGoogle ScholarPubMed
McCarthy, S, Berry, DP, Dillon, P, Rath, M, Horan, B 2007. Influence of Holstein–Friesian strain and feed system on body weight and body condition score lactation profiles. Journal of Dairy Science 90, 18591869.CrossRefGoogle ScholarPubMed
Miglior, F, Muir, BL, Van Doormaal, BJ 2005. Selection indices in Holstein cattle of various countries. Journal of Dairy Science 88, 12551263.CrossRefGoogle ScholarPubMed
Persaud, P, Simm, G, Hill, WG 1991. Genetic and phenotypic parameters for yield, food intake and efficiency of dairy cows fed ad libitum. 1. Estimates for ‘total’ lactation measures and their relationship with live-weight traits. Animal Production 52, 435444.Google Scholar
Robinson, JJ 1986. Changes in body composition during pregnancy and lactation. Proceedings of the Nutrition Society 45, 7180.CrossRefGoogle ScholarPubMed
Royal, MD, Pryce, JE, Woolliams, JA, Flint, APF 2002. The genetic relationship between commencement of luteal activity and calving interval, body condition score, production, and linear type traits in Holstein–Friesian dairy cattle. Journal of Dairy Science 85, 30713080.CrossRefGoogle ScholarPubMed
SAS Institute Inc. 2005. SAS/STAT User’s Guide, Version 9.0.Google Scholar
Simm, G, Persaud, P, Neilson, DR, Parkinson, H, McGuirk, BJ 1991. Predicting food intake in dairy heifers from early lactation records. Animal Production 52, 421434.Google Scholar
Stamer, E, Reinsch, N, Junge, W 2000. Merkmale des Fressverhaltens zur Schätzung der Grundfutteraufnahme von Milchkühen unter Laufstallbedingungen. Züchtungskunde 72, 340358.Google Scholar
Sutter, F, Beever, DE 2000. Energy and nitrogen metabolism in Holstein–Friesian cows during early lactation. Animal Science 70, 503514.CrossRefGoogle Scholar
Svendsen, M, Skipenes, P, Mao, IL 1994. Genetic correlations in the feed conversion complex of primiparous cows at a recommended and a reduced plane of nutrition. Journal of Animal Science 72, 14411449.CrossRefGoogle Scholar
Tamminga, S, Luteijn, PA, Meijer, RGM 1997. Changes in composition and energy content of liveweight loss in dairy cows with time after parturition. Livestock Production Science 52, 3138.CrossRefGoogle Scholar
van Elzakker, PJM, van Arendonk, JAM 1993. Feed intake, body weight and milk production: genetic analysis of different measurements in lactating dairy heifers. Livestock Production Science 37, 3751.CrossRefGoogle Scholar
Veerkamp, RF 1998. Selection for economic efficiency of dairy cattle using information on live weight and feed intake: a review. Journal of Dairy Science 81, 11091119.CrossRefGoogle ScholarPubMed
Veerkamp, RF, Thompson, R 1999. A covariance function for feed intake, live weight, and milk yield estimated using a random regression model. Journal of Dairy Science 82, 15651573.CrossRefGoogle ScholarPubMed
Veerkamp, RF, Oldenbroek, JK, Van Der Gaast, HJ, Van Der Werf, JHJ 2000. Genetic correlation between days until start of luteal activity and milk yield, energy balance, and live weights. Journal of Dairy Science 83, 577583.CrossRefGoogle ScholarPubMed
Villa-Godoy, A, Hughes, TL, Emery, RS, Chapin, LT, Fogwell, RL 1988. Association between energy balance and luteal function in lactating dairy cows. Journal of Dairy Science 71, 10631072.CrossRefGoogle ScholarPubMed
Yan, T, Agnew, RE, Murphy, JJ, Ferris, CP, Gordon, FJ 2003. Evaluation of different energy feeding systems with production data from lactating dairy cows offered grass silage-based diets. Journal of Dairy Science 86, 14151428.CrossRefGoogle ScholarPubMed
Zurek, E, Foxcroft, GR, Kennelly, JJ 1995. Metabolic status and interval to first ovulation in postpartum dairy cows. Journal of Dairy Science 78, 19091920.CrossRefGoogle ScholarPubMed