[en] The objective of this study was to estimate the genetic relationships between days open (DO) and both milk production traits and fatty acid (FA) content in milk predicted by mid-infrared spectrometry. The edited data set included 143,332 FA and production test-day records and 29,792 DO records from 29,792 cows in 1,170 herds. (Co)variances were estimated using a series of 2-trait models that included a random regression for milk production and FA traits. In contrast to the genetic correlations with fat content, those between DO and FA content in milk changed considerably over the lactation. The genetic correlations with DO for unsaturated FA, monounsaturated FA, long-chain FA, C18:0, and C18:1 cis-9 were positive in early lactation but negative after 100 d in milk. For the other FA, genetic correlations with DO were negative across the whole lactation. At 5 d in milk, the genetic correlation between DO and C18:1 cis-9 was 0.39, whereas the genetic correlations between DO and C6:0 to C16:0 FA ranged from -0.37 to -0.23. These results substantiated the known relationship between fertility and energy balance status, explained by the release of long-chain FA in early lactation, from the mobilization of body fat reserves, and the consequent inhibition of de novo FA synthesis in the mammary gland. At 200 d in milk, the genetic correlations between DO and FA content ranged from -0.38 for C18:1 cis-9 to -0.03 for C6:0. This research indicates an opportunity to use FA content in milk as an indicator trait to supplement the prediction of genetic merit for fertility.
Disciplines :
Genetics & genetic processes Animal production & animal husbandry
Auvray B., Gengler N. Feasibility of a Walloon test-day model and study of its potential as tool for selection and management. Interbull Bull. 2002, 29:123-127.
Barber M.C., Clegg R.A., Travers M.T., Vernon R.G. Lipid metabolism in the lactating mammary gland. Biochim. Biophys. Acta 1997, 1347:101-126.
Bastin C., Gengler N., Soyeurt H. Phenotypic and genetic variability of production traits and milk fatty acid contents across days in milk for Walloon Holstein first-parity cows. J. Dairy Sci. 2011, 94:4152-4163.
Bastin C., Loker S., Gengler N., Sewalem A., Miglior F. Genetic relationships between body condition score and reproduction traits in Canadian Holstein and Ayrshire first-parity cows. J. Dairy Sci. 2010, 93:2215-2228.
Berry D.P., Veerkamp R.F., Dillon P. Phenotypic profiles for body weight, body condition score, energy intake, and energy balance across different parities and concentrate feeding levels. Livest. Sci. 2006, 104:1-12.
Bobe G., Minick Bormann J.A., Lindberg G.L., Freeman A.E., Beitz D.C. Short communication: Estimates of genetic variation of milk fatty acids in US Holstein cows. J. Dairy Sci. 2008, 91:1209-1213.
Chilliard Y., Ferlay A., Mansbridge R.M., Doreau M. Ruminant milk fat plasticity: Nutritional control of saturated, polyunsaturated, trans and conjugated fatty acids. Ann. Zootech. 2000, 49:181-205.
Croquet C., Mayeres P., Gillon A., Vanderick S., Gengler N. Inbreeding depression for global and partial economic indexes, production, type, and functional traits. J. Dairy Sci. 2006, 89:2257-2267.
de Jong G. Usage of predictors for fertility in the genetic evaluation, application in the Netherlands. Interbull Bull. 2005, 33:69-73.
de Vries M.J., Veerkamp R.F. Energy balance of dairy cattle in relation to milk production variables and fertility. J. Dairy Sci. 2000, 83:62-69.
Fischer T.M., Gilmour A.R., van der Werf H.J.J. Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML. Genet. Sel. Evol. 2004, 36:363-369.
Grummer R.R. Effect of feed on the composition of milk fat. J. Dairy Sci. 1991, 74:3244-3257.
Hou Y., Madsen P., Labouriau R., Zhang Y., Lund M.S., Su G. Genetic analysis of days from calving to first insemination and days open in Danish Holsteins using different models and censoring scenarios. J. Dairy Sci. 2009, 92:1229-1239.
Interbull. 2011a. Description of national genetic evaluation systems for dairy cattle traits as applied in different Interbull member countries. Accessed Nov. 3, 2011. http://www-interbull.slu.se/national_ges_info2/framesida-ges.htm.
ICAR. 2012. International Committee for Animal Recording: ICAR recording guidelines. Accessed Mar. 15, 2012. http://www.icar.org/pages/recording_guidelines.htm.
Mayeres P., Vanderick S., Croquet C., Soyeurt H., Hammami H., Gengler N. Genetic evaluation of female fertility for Walloon dairy and dual purpose cows using a parity random regression model: First results. Interbull Bull. 2006, 34:42-46.
Mc Parland S., Schmidely P., Friggens N.C., Banos G., Soyeurt H., Coffey M.P., Wall E., Veerkamp R.F., Berry D.P. Relationship between milk fatty acids and body energy status in Holstein dairy cows 2011, Agricultural Research Forum, Tullamore, Ireland.
Miglior F., Muir B.L., Van Doormaal B.J. Selection indices in Holstein cattle of various countries. J. Dairy Sci. 2005, 88:1255-1263.
Misztal, I. 2010. BLUPF90 family of programs. University of Georgia. Accessed Mar. 25, 2010. http://nce.ads.uga.edu/~ignacy/newprograms.html.
Negussie E., Strandén I., Mäntysaari E.A. Genetic association of clinical mastitis with test-day somatic cell score and milk yield during first lactation of Finnish Ayrshire cows. J. Dairy Sci. 2008, 91:1189-1197.
Palmquist D.L., Baulieu A.D., Barbano D.M. Feed and animal factors influencing milk fat composition. J. Dairy Sci. 1993, 76:1753-1771.
Soyeurt H., Dehareng F., Gengler N., McParland S., Wall E., Berry D.P., Coffey M., Dardenne P. Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries. J. Dairy Sci. 2011, 94:1657-1667.
Soyeurt H., Gillon A., Vanderick S., Mayeres P., Bertozzi C., Gengler N. Estimation of heritability and genetic correlations for the major fatty acids in bovine milk. J. Dairy Sci. 2007, 90:4435-4442.
Stoop W.M., Bovenhuis H., Heck J.M.L., van Arendonk J.A.M. Effect of lactation stage and energy status on milk fat composition of Holstein-Friesian cows. J. Dairy Sci. 2009, 92:1469-1478.
Stoop W.M., van Arendonk J.A.M., Heck J.M.L., van Valenberg H.J.F., Bovenhuis H. Genetic parameters for major fatty acids and milk production traits of Dutch Holstein-Friesians. J. Dairy Sci. 2008, 91:385-394.
Van Haelst Y.N.T., Beeckman A., Van Knegsel A.T.M., Fievez V. Short communication: Elevated concentrations of oleic acid and long-chain fatty acids in milk fat of multiparous subclinical ketotic cows. J. Dairy Sci. 2008, 91:4683-4686.
VanRaden P.M., Sanders A.H., Tooker M.E., Miller R.H., Norman H.D., Kuhn M.T., Wiggans G.R. Development of a national genetic evaluation for cow fertility. J. Dairy Sci. 2004, 87:2285-2292.
Veerkamp R.F., Beerda B. Genetics and genomics to improve fertility in high producing dairy cows. Theriogenology 2007, 68(Suppl. 1):S266-S273.
Veerkamp R.F., Koenen E.P.C., de Jong G. Genetic correlations among body condition score, yield, and fertility in first-parity cows estimated by random regression models. J. Dairy Sci. 2001, 84:2327-2335.
Wall E., Brotherstone S., Woolliams J.A., Banos G., Coffey M.P. Genetic evaluation of fertility using direct and correlated traits. J. Dairy Sci. 2003, 86:4093-4102.
Walsh S.W., Williams E.J., Evans A.C.O. A review of the causes of poor fertility in high milk producing dairy cows. Anim. Reprod. Sci. 2011, 123:127-138.
Weigel K.A. Prospects for improving reproductive performance through genetic selection. Anim. Reprod. Sci. 2006, 96:323-330.
Williams P. Near-infrared technology-Getting the best out of light 2007, PDK Grain, Nanaimo, BC, Canada.
Windig J.J., Calus M.P.L., Beerda B., Veerkamp R.F. Genetic correlations between milk production and health and fertility depending on herd environment. J. Dairy Sci. 2006, 89:1765-1775.
