Abstract

Article Details: Received: 2018-09-10 | Accepted: 2018-10-25 | Available online: 2018-09-31 https://doi.org/10.15414/afz.2018.21.03.119-124 The aim of this study was to analyse several genetic and non-genetic factors that can affect the calving difficulty of Slovak Spotted cattle and to find out their statistical significance. A total of 417030 calving difficulty records from 174795 dams were collected during the calving parity from 2001 to 2017. The impact of factors affecting the calving difficulty was analysed by using procGLM implemented in SAS 9.3 on the basis of multifactor analysis of variance. The effects of the herd, a year of calving, the sex of a calf, a breed type, a month of calving, the parity and the sire were tested. The sex of born calf was the most statistically significant factor (R2 =25,5 %). The calving difficulty was significantly affected also by the herd, a year of calving, a month of calving, the parity and sire. Each of these effects showed high level of significance (P<0.001). The lowest level of statistical significance was found for effect of breed type. Based on obtained results we recommend continuing to use the recording of calving difficulty for the purposes of evaluation of effect of sire on inheritance. Keywords: cattle, calving difficulty, non-genetic factors, reproduction References BOGDANYI I. et al. (1996) Breeding target and breed standard of Slovak spotted cattle. Trebisov: Slovak Simmental Breeders Association. CORTES-LACRUZ, X. et al. (2017) Genetic evaluation of calving ease in Parda de Montana beef breed based on linear and threshold models. Web of Science, vol. 113, no. 2, pp. 158– 175. doi: https://doi.org/10.12706/itea.2017.010 EAGLEN, S. A. E. and BIJMA, P. (2009) Genetic parameters of direct and maternal effects for calving ease in Dutch HolsteinFriesian cattle. Journal of Dairy Science, vol. 92, no. 5, pp. 2229– 2237. doi: https://doi.org/10.3168/jds.2008-1654 GAAFAR, H. M. A. et al. (2011) Dystocia in Friesian cows and its effects on postpartum reproductive performance and milk production. Tropical animal health and production, vol. 43, no. 1, pp. 229–234. doi: https://dx.doi.org/10.1007/ s11250-010-9682-3 GRAESBŒLL, K. et al. (2015) Danish Holsteins favor bull offspring: biased milk production as a function of fetal sex, and calving difficulty. Plos One. doi: https://doi.org/10.1371/journal. pone.0124051 HINRICHS, D. and THALLER, G. (2011) Pedigree analysis and inbreeding effects on calving traits in large dairy herds in Germany. Journal of Animal Science, vol. 94, no. 9, pp. 4726– 4733. doi: https://doi.org/10.3168/jds.2010-4100 INOUE, K. et al. (2017) Inferring causal structures and comparing the causal effects among calving difficulty, gestation length and calf size in Japanese Black cattle. Animal, vol. 11, no. 12, pp. 2120–2128. doi: https://doi.org/10.1017/ S1751731117000957 JOHANSON, J. M. and BERGER, P. J. (2003) Birth weight as a predictor of calving ease and perinatal mortality in Holstein cattle. Journal of Dairy Science, vol. 86, no. 11, pp. 3745–3755. doi: https://doi.org/10.3168/jds.S0022-0302(03)73981-2 JUOZAITIENE, V. et al. (2017) Relationship between dystocia and the lactation number, stillbirth and mastitis prevalence in dairy cows. Acta Veterinaria Brno, vol. 86, no. 4, pp. 345–352. doi: https://doi.org/10.2754/avb20178604034 KADLECIK, O. et al. (2013) Diversity of cattle breeds in Slovakia. Slovak Journal of Animal Science, vol. 46, no. 4, pp. 145–150. KOTASEK, M. S. (2012) Evaluation calving difficulty of heifers and cows in the Slovak Republic: Ph.D. Thesis. Nitra: SUA (in Slovak). OLSON, K.M. et al. (2009) Dystocia, stillbirth, gestation length, and birth weight in Holstein, Jersey, and reciprocal crosses from a planned experiment. Journal of Dairy Science, vol. 92, no. 12, pp. 6167–6175. doi: https://doi.org/10.3168/ jds.2009-2260 RYBA, S. (2010) Evaluation calving difficulty cows of individual breeds in the Slovak Republic: Ph.D. Thesis. Nitra: Slovak university of agriculture (in Slovak). SAS Institute Inc. (2011) SAS 9.3 Statements: Reference. Cary, NC: SAS Institute Inc. SCHAEFFER, L. R. (2003) Application of random regression models in animal breeding. Livestock production Science, vol. 86, no. 1–3, pp. 35–45. doi: https://doi.org/10.1016/ S0301-6226(03)00151-9 SHAVHUZHEV, A. and BELIK N. (2017) Milk productivity of Simmental cows Austrian selection. In: 16th International Scientific Conference Engineering for Rural Development: Proceedings, 24–26. 5. 2017 Jelgava, Latvia, pp. 1354–1358. doi: http://dx.doi.org/10.22616/ERDev2017.16.N304 SILVESTRE, A. Et al. (2018) Genetic parameters of calving ease in dairy cattle using threshold and linear models. 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Highlights

  • Reproduction makes the greatest contribution to genetic gain in cattle measured in economic units

  • The impact of factors affecting the calving difficulty was analysed by using General Linear Models (GLM) procedure implemented in SAS 9.3 (SAS Institute Inc., 2011)

  • The results demonstrated match state of calving difficulty for three breed types

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Summary

Introduction

Reproduction makes the greatest contribution to genetic gain in cattle measured in economic units. Reproduction can be as much as four times more economically important than end-product trait. In Slovak Spotted cattle, the calving ease can be regarded as one of the most important reproduction traits from the point of view of its breeding objective Slovak Simmental Breeders Association, 2018). The calving difficulty can be affected by various genetic and non-genetic factors. Non-genetic factors include the sex of calf, the age of dam, the parity, and the season of calving, nutrition condition of dam before calving, and environmental conditions. The length of gestation, breed type and maternal dimensions of the dam are considered as genetic factors (Záhradková, 2009)

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