Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-23T17:16:55.757Z Has data issue: false hasContentIssue false

Genetic association between body energy measured throughout lactation and fertility in dairy cattle

Published online by Cambridge University Press:  26 October 2009

G. Banos*
Affiliation:
Faculty of Veterinary Medicine, Department of Animal Production, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece
M. P. Coffey
Affiliation:
Sustainable Livestock Systems Group, Scottish Agricultural College, Bush Estate, Midlothian, EH26 0PH, UK
*
Get access

Abstract

The objective of this study was to quantify the genetic association of body energy assessed throughout lactation with a cow’s fertility. Nine direct and indirect body energy traits were defined at different stages of lactation. Four were daily records of energy balance, energy content, cumulative effective energy (CEE) and body condition score (BCS) calculated between lactation days 4 and 311. The other five traits included duration of negative energy balance (DNEB), rate of recovery during DNEB (RNEB), sum of negative energy balance (SNEB), nadir of energy content (NEC) and number of days from calving to NEC. Of these traits, energy balance, DNEB, RNEB and SNEB were primarily based on individual cow feed intake and milk yield, and considered direct measures of body energy. The other traits were calculated from body lipid and protein changes, predicted from BCS and live weight profiles, and were considered indirect measures of body energy. Fertility was defined by number of days between calving and commencement of luteal activity (DLA), first observed oestrus (DH) and conception (DC), and number of services per conception. A total of 957 cows in their first four lactations were considered in the study. Genetic models fitted cubic splines to define longitudinal traits (energy balance, energy content, CEE and BCS) and calculate heritability and genetic correlation with fertility. Daily heritability estimate ranges were 0.10 to 0.34, 0.35 to 0.61, 0.32 to 0.53 and 0.24 to 0.56 for energy balance, energy content, CEE and BCS, respectively, and, in most cases, tended to increase towards the middle of lactation and remain relatively stable thereafter. Of the other body energy traits, heritability of NEC (0.44) was the most notable. Statistically significant (P < 0.05) genetic correlations of DH with daily energy balance, energy content, CEE and BCS ranged from −0.16 to −0.28, −0.35 to −0.48, −0.16 to −0.26 and −0.37 to −0.44, respectively. For DC, respective estimates were −0.28 to −0.64, −0.37 to −0.60, −0.30 to −0.48 and −0.29 to −0.53. For DLA, they ranged from −0.47 to −0.56 with energy content and from −0.50 to −0.74 with BCS. Of special interest was the genetic correlation of NEC with DH (−0.54) and DC (−0.48). Results suggest that indirect measures of body energy have the strongest genetic association with cow fertility. NEC and early lactation (circa day 50) BCS and energy content are the most useful traits for selection in terms of the correlated improvement in a cow’s capacity to resume her reproductive activity post partum.

Type
Full Paper
Copyright
Copyright © The Animal Consortium 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

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
Banos, G, Coffey, MP, Wall, E, Brotherstone, S 2006. Genetic relationship between first-lactation body energy and later-life udder health in dairy cattle. Journal of Dairy Science 89, 22222232.CrossRefGoogle ScholarPubMed
Berry, DP, Buckley, F, Dillon, P, Evans, RD, Rath, M, Veerkamp, RF 2002. Genetic parameters for level and change of body condition score and body weight in dairy cows. Journal of Dairy Science 85, 20302039.CrossRefGoogle ScholarPubMed
Berry, DP, Buckley, F, Dillon, P, Evans, RD, Rath, M, Veerkamp, RF 2003a. Genetic relationships among body condition score, body weight, milk yield, and fertility in dairy cows. Journal of Dairy Science 86, 21932204.CrossRefGoogle ScholarPubMed
Berry, DP, Buckley, F, Dillon, P, Evans, RD, Rath, M, Veerkamp, RF 2003b. Genetic parameters for body condition score, body weight, milk yield, and fertility estimated using random regression models. Journal of Dairy Science 86, 37043717.CrossRefGoogle ScholarPubMed
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, Hill, WG, Brotherstone, S 2003. Genetic evaluations of dairy bulls for daughter energy balance profiles using linear type scores and body condition score analyzed with random regression. Journal of Dairy Science 86, 22052212.CrossRefGoogle ScholarPubMed
Collard, BL, Boettcher, PJ, Dekkers, JCM, Peticlerc, D, Schaeffer, LR 2000. Relationship between energy balance and health traits of dairy cattle in early lactation. Journal of Dairy Science 83, 26832690.CrossRefGoogle ScholarPubMed
Dechow, CD, Rogers, GW, Klei, L, Lawlor, TJ, VanRaden, PM 2004. Body condition scores and dairy form evaluations as indicators of days open in US Holsteins. Journal of Dairy Science 87, 35343541.CrossRefGoogle ScholarPubMed
De Haas, Y, Janss, LLG, Kadarmideen, HJ 2007. Genetic correlations between body condition scores and fertility in dairy cattle using bivariate random regression models. Journal of Animal Breeding and Genetics 124, 277285.CrossRefGoogle ScholarPubMed
Emmans, GC 1994. Effective energy: a concept of energy utilization applied across species. British Journal of Nutrition 71, 801821.CrossRefGoogle ScholarPubMed
Gilmour, AR, Gogel, BJ, Cullis, BR, Welham, SJ, Thompson, R 2002. ASREML User Guide. Release 1.0. VSN International Ltd, Hemel Hempstead, UK.Google Scholar
Goff, JP, Horst, RL 1997. Physiological changes at parturition and their relationship to metabolic disorders. Journal of Dairy Science 80, 12601268.CrossRefGoogle ScholarPubMed
Hüttmann, H, Stamer, E, Junge, W, Thaller, G, Kalm, E 2009. Analysis of feed intake and energy balance of high-yielding first lactating Holstein cows with fixed and random regression models. Animal 3, 181188.CrossRefGoogle ScholarPubMed
Koenen, EPC, Groen, AF 1998. Genetic evaluation of body weight of lactating Holstein heifers using body measurements and conformation traits. Journal of Dairy Science 81, 17091713.CrossRefGoogle ScholarPubMed
National Research Council 2001. Nutrient requirements of dairy cattle, 7th edition. National Academy Press, Washington, DC, USA.Google Scholar
Oikonomou, G, Arsenos, G, Valergakis, GE, Tsiaras, A, Zygoyiannis, D, Banos, G 2008. Genetic relationship of body energy and blood metabolites with reproduction in Holstein cows. Journal of Dairy Science 91, 43234332.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
Pollott, GE, Coffey, MP 2008. The effect of genetic merit and production system on dairy cow fertility, measured using progesterone profiles and on-farm recording. Journal of Dairy Science 91, 36493660.CrossRefGoogle ScholarPubMed
Reist, M, Erdin, DK, von Euw, D, Tschümperlin, KM, Leuenberger, H, Hammon, HM, Morel, C, Philipona, C, Zbinden, Y, Künzi, N, Blum, JW 2003. Postpartum reproductive function: association with energy, metabolic and endocrine status in high yielding dairy cows. Theriogenology 59, 17071723.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
Sutter, F, Beever, DE 2000. Energy and nitrogen metabolism in Holstein–Friesian cows during early lactation. Animal Science 70, 503514.CrossRefGoogle Scholar
Veerkamp, RF, Koenen, EPC, de Jong, G 2001. Genetic correlations among body condition score, yield, and fertility in first-parity cows estimated by random regression models. Journal of Dairy Science 84, 23272335.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
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
Wall, E, Brotherstone, S, Woolliams, JA, Banos, G, Coffey, MP 2003. Genetic evaluation of fertility using direct and correlated traits. Journal of Dairy Science 86, 40934102.CrossRefGoogle ScholarPubMed
Walsh, S, Buckley, F, Pierce, K, Byrne, N, Patton, J, Dillon, P 2008. Effects of breed and feeding system on milk production, body weight, body condition score, reproductive performance, and postpartum ovarian function. Journal of Dairy Science 91, 44014413.CrossRefGoogle ScholarPubMed
White, IMS, Thompson, R, Brotherstone, S 1999. Genetic and environmental smoothing of lactation curves with cubic splines. Journal of Dairy Science 82, 632638.CrossRefGoogle ScholarPubMed