Genetic relationships among calving ease, birth weight and perinatal calf survival in Charolais cattle

• Autorzy: Vostry L. , Milerski M. , Krupa E. , Vesela Z. , Vostra-Vydrova H.
• Języki publikacji: EN

Abstrakty

EN

Perinatal calf mortality affects profitability of beef cattle production systems, hence, it Gould eventually be beneficial to include this trait in a breeding goal. The objectives of this study were to estimate the environmental effects and heritabilities of and genetic correlations among birth weight (BW), calving ease (CE) and calf survival (CS) in Charolais cattle, in the Czech Republic.The dataset contained 27,402 field records. Fixed effects in the 3-trait model were year of birth, age of dam, sex, and litter size of calf. Random effects in the model were direct and maternal genetic effects, maternal permanent environment, contemporary group (herd x year x season), and residual.Birth weight was modelled as a normally distributed trait, while for calf survival a linear logit model was applied. The CE score was either transformed to be normally distributed (T1) or treated as a binary trait (T2). For T1, heritabilities for the direct genetic effect were 0.23, 0.21 and 0.05 for BWd, CEd and CSd, respectively; while heritabilities for maternal genetic effects were 0.10, 0.02 and 0.05 for BWm, CEm, and CSm. Genetic correlations among BW, CE and CS were close to zero for both direct and maternal genetic effects with the exception of that between BWd and CEd (0.21 for T1 and 0.24 for T2). Results suggest that low additive direct and maternal genetic variances for calf survival and low to modest direct and maternal genetic correlations between BW, CE and CS would limit effectiveness of selection for calf survival in a breeding program, in spite of its economic importance in beef cattle production.

• Wydawca: -
• Czasopismo: Animal Science Papers and Reports
• Rocznik: 2015
• Tom: 33
• Numer: 3
• Opis fizyczny: p.233-242,ref.

Twórcy

autor

Vostry L.

• Faculty of Agrobiology, Food and Natural Resources, CULS Prague, Kamycka 129, 165 21 Prague, Czech Republic
• Institute of Animal Science, P.O.Box 1, CZ104 01 Prague Uhrineves, Czech Republic

autor

Milerski M.

• Institute of Animal Science, P.O.Box 1, CZ104 01 Prague Uhrineves, Czech Republic

autor

Krupa E.

• Institute of Animal Science, P.O.Box 1, CZ104 01 Prague Uhrineves, Czech Republic

autor

Vesela Z.

• Institute of Animal Science, P.O.Box 1, CZ104 01 Prague Uhrineves, Czech Republic

autor

Vostra-Vydrova H.

• Institute of Animal Science, P.O.Box 1, CZ104 01 Prague Uhrineves, Czech Republic

Bibliografia

• Berger P.J.,Cubas A.C., Koehler K. J., Healey M.H., 1992 – Factors affecting dystonia and early calf mortality in Angus Cows and Heifers. Journal of Animal Science 70, 1775-1788.
• Cervantes I., Gutiérrez J.P., Fernández I., Goyace F., 2010 – Genetic relationships among calving ease, gestation length, and calf survival to weaning in the Asturana de los Valles blef cattle breed. Journal of Animal Science 88, 96-101.
• Eaglen S.A.E.,Bijma P., 2009 – Genetic parameters of direct and maternal effects for calving ease in Dutch Holstein-Friesian cattle. Journal of Dairy Science 92, 2229-2237.
• Eriksson S., Näsholm A., Johansson K., Philipsson J., 2004 – Genetic parameters for calving difficulty, stillbirth, and birth weight for Hereford and Charolais at first and later parities.Journal of Animal Science 82, 375-383.
• Guerra J.L.L.,Franke D.E.,Blouin D.C., 2006 – Genetic parameters for calving rate and calf survival from linear, threshold, and logistic models in a multibreed beef cattle population. Journal of Animal Science 84, 3197-3203.
• Hansen M. Madsen P., Jensen J., Pedersen J., Christiansen L.G., 2003 – Genetic parameters of postnatal mortality in Danish Holstein calves. Journal of Dairy Science 86, 1807-1817.
• Heringstad B., Chány Y.M., Svendsen M., Gianola D., 2007 – Genetic analysis of calving difficulty and stillbirth in Norwegian red cows. Journal of Dairy Science 90, 3500-3507.
• Koots K.R., Gobson J.P., Smith C., Wilton J. W., 1994 – Analyses of published genetic parameter estimates for beef production traits. 2. Phenotypic and genetic correlations. Animal Breeding Abstract 62, 825-853.
• Klei B., Tsuruta S., 2008 – Approximate variance for heritability estimates. http://nce.ads.uga.edu/html/projects/AI_SE.pdf
• Luo M.F., Boettcher P.J., Schaeffer L.R., Dekkers J.C.M.,2002 – Estimation of genetic parameters of calving ease in first and second parities of Canadian Holstein using Bayesian methods.Livestock Production Science 74, 175-184.
• LEE D.H., 2002 – Estimation of Genetic Parameters for Calving Ease by Heifers and Cows Rusing Multi-trait Threshold Animal Models with Bayesian Approach. Asian-Australian Journal of Animal Science 15, 1085-1090.
• Madsen P., Jensen J., 2008 – DMU – a package for analysing multivariate mixed models.Version 6, release 4.7. 33 pp. Available from http://dmu.agrsci.dk
• Mandal A., Prasad H., Kumar A., Roy R., Sarma N., 2007 – Factors associated with lamb mortalities in Muzaffarnagari sheep. Small Ruminant Research 71, 273-279.
• Meijering A., Postmna A., 1985 – Responses to sire selection for dystocia. Livestock Production Science, 13, 251-266.
• Meyer C.L.,Berger P.J., Thompson J.R.,Sattle C.G., 2001 – Genetic evaluation of Holstein sires and maternal grandsires in the United States for perinatal survival. Journal of Dairy Science84,1246-1254.
• Mujibi F.D.N, Crews D.H., 2009 – Genetic parameters for calving ease, gestation length and birth weight in Charolais cattle. Journal of Animal Science 87, 2759-2766.
• PŘIBYL J., MISZTAL I., PŘIBYLOVÁ J., ŠEBA K., 2003 – Multiple-breed, multiple-traits evaluation of beef cattle in the Czech Republic. Czech Journal of Animal Science 48, 519-532.
• Riggio V.R., Ficchiaro R., Bishop S.C., 2008 – Genetic parameters for early lamb survival and growth in Scottish Blackface sheep. Journal of Animal Science 86, 1758-1764.
• Riley D.G., Chase Jr. C.C., Olson T.A., Coleman S.W., Hammond A.C., 2004 – Genetic and non-genetic influences on vigor at birth and preweaning mortality of purebred and high percentage Brahman calves. Journal of Animal Science 82, 1581-1588.
• Schaeffer L. R., 2009 – Contemporary groups are always random. www.aps.uoguelph.ca/~lrs/LRSsite/ranfix.pdf
• Snell E.J., 1964 – A scaling procedure for ordered categorical data. Biometrics 20, 592-607.
• Varona L., Misztal I., Bertrand J.K., 1999 – Threshold-linear versus linear-linear analysis of birth weight and calving ease using an animal model: I. Variance component estimation. Journal of Animal Science 77, 1994-2002.
• Vostrý L., Veselá Z., Svitáková A., VOSTRÁ VYDROVÁ H., 2014 – Comparison among models for estimation of genetic parameters and prediction of breeding values for birth weight and calving ease in Czech Charolais cattle. Czech Journal of Animal Science 59, 302-309.
• VOSTRÝ L., MILERSKI M., 2013 – Genetic and non-genetic effects influencing lamb survivability in the Czech Republic. Small Ruminant Research 113, 47-54.
• Wiggans G.R., Misztal I., Van Tassell C.P., 2003 – Calving Ease (Co)Variance Components for a Sire-Maternal Grandsire Threshold Model. Journal of Dairy Science 86, 1845-1848.
• Wolfová, M., Wolf J., Zahrádková R., Přibyl J.,Daňo J., Krupa E., Kica J., 2005 – Breeding objectives for beef cattle used in different production systems-2. Model application to production systems with the Charolais breed. Livestock Production Science95, 217-230.