Usefulness of multi-breed models in genetic evaluation of direct and maternal calving ease in Holstein and Belgian Blue Walloon purebreds and crossbreds
[en] The objective of this study was to verify the feasibility of a joint genetic evaluation system for calving ease trait of Belgian Blue (BBB) and Holstein (HOL) Walloon cattle based on data of purebred and crossbred animals. Variance components and derived genetic parameters for purebred BBB and HOL animals were estimated by using single-breed linear animal models. This analysis showed clear genetic differences between breeds. Estimates of direct and maternal heritabilities (± standard error) were 0.34 (±0.02) and 0.09 (±0.01) for BBB, respectively, but only 0.09 (±0.01) and 0.04 (±0.01) for HOL, respectively. Moreover, a significant negative genetic correlation between direct and maternal effects was obtained in both breeds: −0.46 (±0.04) for BBB and −0.29 (±0.11) for HOL. Variance components and derived genetic parameters for purebred BBB and HOL and crossbred BBB ×× HOL cattle were then estimated by using two multi-breed linear animal models: a multi-breed model based on a random regression test-day model (Model MBV), and a multi-breed model based on the random regression multi-breed model (Model MBSM). Both multi-breed models use different functions of breed proportions as random regressions, thereby enabling modelling different additive effects according to animal's breed composition. The main difference between these models is the way in which relationships between breeds are accounted for in the genetic (co)variance structure. Genetic parameters differed between single-breed and multi-breed analysis, but are similar to the literature. For BBB, estimates of direct and maternal heritabilities (±SE) were 0.45 (±0.07) and 0.08 (±0.01) by using Model MBV, and 0.45 (±0.08) and 0.09 (±0.02) for Model MBSM, respectively. For HOL, these estimates were 0.18 (±0.04) and 0.05 (±0.01) using Model MBV, and 0.16 (±0.04) and 0.05 (±0.01) for Model MBSM, respectively. Reliability gains (up to 25%) indicated that the use of crossbred data in the multi-breed models had a positive influence on the estimation of genetic merit of purebred animals. A slight re-ranking of purebred sires and maternal grandsires was observed between single-breed and multi-breed models. Moreover, both multi-breed models can be considered as quasi-equivalent models because they performed almost equally well with respect to MSE and correlations, for purebred and crossbred animals.
Disciplines :
Animal production & animal husbandry Genetics & genetic processes
Author, co-author :
Vanderick, Sylvie ; Université de Liège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Zootechnie
Gillon, Alain; Association Wallonne de l'Elevage > Recherche et Développement
Glorieux, Géry; Association Wallonne de l'Elevage > Recherche et Développement
Mayeres, Patrick; Association Wallonne de l'Elevage > Recherche et Développement
REIS MOTA, Rodrigo ; Université de Liège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Zootechnie
Gengler, Nicolas ; Université de Liège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Zootechnie
Language :
English
Title :
Usefulness of multi-breed models in genetic evaluation of direct and maternal calving ease in Holstein and Belgian Blue Walloon purebreds and crossbreds
Publication date :
April 2017
Journal title :
Livestock Science
ISSN :
1871-1413
eISSN :
1878-0490
Publisher :
Elsevier Science, Amsterdam, Netherlands
Volume :
198
Pages :
129–137
Peer reviewed :
Peer Reviewed verified by ORBi
Tags :
CÉCI : Consortium des Équipements de Calcul Intensif
SPW DG03-DGARNE - Service Public de Wallonie. Direction Générale Opérationnelle Agriculture, Ressources naturelles et Environnement [BE] CÉCI - Consortium des Équipements de Calcul Intensif [BE]
Abdel-Azim, G.A., Berger, P., Properties of threshold model predictions. J. Anim. Sci. 77 (1999), 582–590.
Barrier, A.C., Haskell, M.J., Birch, S., Bagnall, A., Bell, D.J., Dickinson, J., Macrae, A.I., Dwyer, C.M., The impact of dystocia on dairy calf health, welfare, performance and survival. Vet. J. 195 (2013), 86–90, 10.1016/j.tvjl.2012.07.031.
Bennett, G., Gregory, K., Genetic (co) variances for calving difficulty score in composite and parental populations of beef cattle: i. calving difficulty score, birth weight, weaning weight, and postweaning gain. J. Anim. Sci. 79 (2001), 45–51.
Berry, D.P., Evans, R.D., Genetics of reproductive performance in seasonal calving beef cows and its association with performance traits. J. Anim. Sci. 92 (2014), 1412–1422.
Eaglen, S.A.E., Coffey, M.P., Woolliams, J.A., Wall, E., Evaluating alternate models to estimate genetic parameters of calving traits in United Kingdom Holstein-Friesian dairy cattle. Genet. Sel. Evol. 44 (2012), 1–13.
Fouz, R., Gandoy, F., Sanjuán, M.L., Yus, E., Diéguez, F.J., Use Crossbreed. beef bulls Dairy herds: Eff. calving Diffic. Gestation. Length Anim. 7 (2013), 211–215, 10.1017/S1751731112001656.
García-Cortés, L.A., Toro, M.Á., Multibreed analysis by splitting the breeding values. Genet. Sel. Evol. 38 (2006), 601–615, 10.1051/gse:2006024.
Hagger, C., Hofer, A., Genetic analyses of calving traits in the swiss black and white, braunvieh and simmental breeds by REML and MAPP procedures. Livest. Prod. Sci. 24 (1990), 93–107.
Hansen, L., 2006. Monitoring the worldwide genetic supply for dairy cattle with emphasis on managing crossbreeding and inbreeding. In: Proceedings of the 8th World Congress on Genetics Applied to Livestock Production. Instituto Prociência, Belo Horizonte, Minas Gerais, Brazil, 13–18 August, 2006, pp. 1–1.
Heins, B., Hansen, L., Seykora, A., Calving difficulty and stillbirths of pure Holsteins versus crossbreds of Holstein with Normande, Montbeliarde, and Scandinavian Red. J. Dairy Sci. 89 (2006), 2805–2810.
Klei, B., Tsuruta, S., 2008. Approximate Variance for Heritability Estimates.
Kolkman, I., De Vliegher, S., Hoflack, G., Van Aert, M., Laureyns, J., Lips, D., de Kruif, A., Opsomer, G., Protocol of the caesarean section as performed in daily Bovine practice in Belgium. Reprod. Domest. Anim. 42 (2007), 583–589, 10.1111/j.1439-0531.2006.00825.x.
Koots, K.R., Gibson, J.P., Smith, C., Wilton, J.W., Analyses of published genetic parameter estimates for beef production traits. I. Heritability. Anim. Breed. 62 (1994), 309–338 (Abstr.).
Koots, K.R., Gibson, J.P., Wilton, J.W., Analyses of published genetic parameter estimates for beef production traits. II. phenotypic and genetic correlations. Anim. Breed. 62 (1994), 825–853 (Abstr.).
Lo, L.L., Fernando, R.L., Grossman, M., Covariance between relatives in multibreed populations: additive model. Theor. Appl. Genet. 87 (1993), 423–430.
López de Maturana, E.L., Legarra, A., Varona, L., Ugarte, E., Analysis of fertility and Dystocia in Holsteins using recursive models to handle censored and categorical data. J. Dairy Sci. 90 (2007), 2012–2024, 10.3168/jds.2005-442.
Lutaaya, E., Misztal, I., Mabry, J.W., Short, T., Timm, H.H., Holzbauer, R., Joint evaluation of purebreds and crossbreds in swine. J. Anim. Sci. 80 (2002), 2263–2266.
Makgahlela, M.L., Mäntysaari, E.A., Strandén, I., Koivula, M., Nielsen, U.S., Sillanpää, M.J., Juga, J., Across breed multi-trait random regression genomic predictions in the Nordic Red dairy cattle. J. Anim. Breed. Genet. 130 (2013), 10–19, 10.1111/j.1439-0388.2012.01017.x.
Mayeres, P., Verkenne, C., Michaux, C., Szydlowski, M., Bertozzi, C., Gengler, N., 2007. Application of Mixed Major Gene-polygenic Inheritance Model for Birth Traits in Dual Purpose Belgian Blue cattle. 〈http://hdl.handle.net/2268/202548〉.
Mee, J.F., Prevalence and risk factors for dystocia in dairy cattle: a review. Vet. J. 176 (2008), 93–101, 10.1016/j.tvjl.2007.12.032.
Misztal, I., Tsuruta, S., Lourenço, D., Aguilar, I., Legarra, A., Vitezica, Z., 2014. Manual for BLUPF90 family of programs. Athens Univ. Ga.
Phocas, F., Laloë, D., Genetic parameters for birth and weaning traits in French specialized beef cattle breeds. Livest. Prod. Sci. 89 (2004), 121–128.
Phocas, F., Laloë, D., Evaluation models and genetic parameters for calving difficulty in beef cattle. J. Anim. Sci. 81 (2003), 933–938.
Sørensen, M.K., Norberg, E., Pedersen, J., Christensen, L.G., Invited review: crossbreeding in dairy cattle: a Danish perspective. J. Dairy Sci. 91 (2008), 4116–4128, 10.3168/jds.2008-1273.
Strandén, I., Mäntysaari, E.A., Use of random regression model as an alternative for multibreed relationship matrix. J. Anim. Breed. Genet. 130 (2013), 4–9, 10.1111/jbg.12014.
Vanderick, S., Harris, B.L., Pryce, J.E., Gengler, N., Estimation of test-day model (co)variance components across breeds using New Zealand dairy cattle data. J. Dairy Sci. 92 (2009), 1240–1252, 10.3168/jds.2007-0794.
Vanderick, S., Troch, T., Gillon, A., Glorieux, G., Faux, P., Gengler, N., Genetic evaluation of calving ease for Walloon Holstein dairy cattle. Inter. Bull., 2013, 32–37.
Vanderick, S., Troch, T., Gillon, A., Glorieux, G., Gengler, N., Genetic parameters for direct and maternal calving ease in Walloon dairy cattle based on linear and threshold models. J. Anim. Breed. Genet. 131 (2014), 513–521, 10.1111/jbg.12105.
VanRaden, P.M., Sanders, A.H., Economic merit of crossbred and purebred US dairy cattle. J. Dairy Sci. 86 (2003), 1036–1044.
