Genetic evaluation of dairy bulls for energy balance traits using random regression

Current selection objectives for dairy cattle breeding may be favouring cows that are genetically predisposed to mobilize body tissue. This may have consequences for fertility since cows may resume reproductive activity only once the nadir of negative energy balance (NEB) has passed. In this study, we repeatedly measured food intake, live weight, milk yield and condition score of Holstein cattle in their first lactation. They were given either a high concentrate or low concentrate diet and were either selected or control animals for genetic merit for kg milk fat plus milk protein. Orthogonal polynomials were used to model each trait over time and random regression techniques allowed curves to vary between animals at both the genetic and the permanent environmental levels. Breeding values for bulls were calculated for each trait for each day of lactation. Estimates of genetic merit for energy balance were calculated from combined breeding values for either (1) food intake and milk yield output, or (2) live weight and condition-score changes. When estimated from daily fluxes of energy calculated from food intake and milk output, the average genetic merit of bulls for energy balance was approximately -15 MJ/day in early lactation. It became positive at about day 40 and rose to +18 MJ/day at approximately day 150. When estimated from body energy state changes the NEB in early lactation was also -15 MJ/day. It became positive at about day 80 and then rose to a peak of +10 MJ/day. The difference between the two methods may arise either because of the contribution of food wastage to intake measures or through inadequate predictions of body lipid from equations using live weight and condition score or a combination of both. Body energy mobilized in early lactation was not fully recovered until day 200 of lactation. The results suggest that energy balance may be estimated from changes in body energy state that can be calculated from body weight and condition score. Since body weight can be predicted from linear type measures, it may be possible to calculate breeding values for energy balance from national evaluations for production and type. Energy balance may be more suitable as a breeding objective than persistency.

[1]  I. Wright Studies on the body composition of beef cows , 1982 .

[2]  L. Kaal-Lansbergen,et al.  Modeling of energy balance in early lactation and the effect of energy deficits in early lactation on first detected estrus postpartum in dairy cows. , 1999, Journal of dairy science.

[3]  S. Brotherstone,et al.  Genetic evaluation of Holstein Friesian sires for daughter condition-score changes using a random regression model , 1999 .

[4]  R. Veerkamp,et al.  Genetic correlation between days until start of luteal activity and milk yield, energy balance, and live weights. , 2000, Journal of dairy science.

[5]  J. T. Hag,et al.  Economic aspects of persistency of lactation in dairy cattle , 1998 .

[6]  B. Cottrill,et al.  Energy and protein requirements of ruminants: an advisory manual prepared by the AFRC Technical Committee on Responses to Nutrients , 1993 .

[7]  C. Pond,et al.  Coping with metabolic stress in wild and domesticated animals , 1999 .

[8]  William G. Hill,et al.  ESTIMATING VARIANCE COMPONENTS FOR TEST DAY MILK RECORDS BY RESTRICTED MAXIMUM LIKELIHOOD WITH A RANDOM REGRESSION ANIMAL MODEL , 1999 .

[9]  B. L. Nielsen Perceived welfare issues in dairy cattle, with special emphasis on metabolic stress , 1999 .

[10]  B. Cottrill,et al.  Energy and Protein Requirements of Ruminants , 1993 .

[11]  S. W. Beam,et al.  Energy balance, metabolic hormones, and early postpartum follicular development in dairy cows fed prilled lipid. , 1998, Journal of dairy science.

[12]  M. Holness,et al.  Current concepts concerning the role of leptin in reproductive function , 1999, Molecular and Cellular Endocrinology.

[13]  S. Brotherstone,et al.  Genetic modelling of daily milk yield using orthogonal polynomials and parametric curves , 2000 .

[14]  S. Brotherstone,et al.  Genetic correlations between linear type traits, food intake, live weight and condition score in Holstein Friesian dairy cattle , 1997 .

[15]  J. Jamrozik,et al.  Estimates of genetic parameters for a test day model with random regressions for yield traits of first lactation Holsteins. , 1997, Journal of dairy science.

[16]  N. Gengler,et al.  Genetics of lactation persistency , 1999 .

[17]  R. Veerkamp,et al.  Genotype and feeding system effects and interactions for health and fertility traits in dairy cattle , 1999 .

[18]  T. Lawrence,et al.  Metabolic stress in dairy cows , 1999 .

[19]  Gerry C. Emmans,et al.  Effective energy: a concept of energy utilization applied across species , 1994, British Journal of Nutrition.

[20]  A. Groen,et al.  Genetic evaluation of body weight of lactating Holstein heifers using body measurements and conformation traits. , 1998, Journal of dairy science.

[21]  R. Veerkamp,et al.  A covariance function for feed intake, live weight, and milk yield estimated using a random regression model. , 1999, Journal of dairy science.

[22]  R. Veerkamp,et al.  Genetics of food intake, live weight, condition score and energy balance , 1999 .

[23]  R. Veerkamp,et al.  Energy balance of dairy cattle in relation to milk production variables and fertility. , 2000, Journal of dairy science.

[24]  W R Butler,et al.  Interrelationships between energy balance and postpartum reproductive function in dairy cattle. , 1989, Journal of dairy science.