Genetic effects of season on the preweaning growth of beef cattle: a first approach to Retinta calves

Authors

  • Rosa M. Morales University of Córdoba
  • Alberto Menéndez-Buxadera University of Córdoba
  • Sebastián Demyda-Peyrás National University of La Plata
  • Antonio Molina University of Córdoba

DOI:

https://doi.org/10.17533/udea.rccp.v33n2a01

Keywords:

beef cattle, genotype-environment interaction, genetic effects, global warming, heat stress, preweaning growth, random regression, reaction-norm, Retinta breed, THI

Abstract

Background: Heat stress derived from global warming is causing major economic losses in the livestock industry. Objective: To develop a novel methodological approach for determining the influence of climatic factors on the estimation of genetic parameters for growth traits in Retinta cattle breed by using reaction-norm models. Methods: Live weight records (n=7,753) from 3,162 Retinta calves born from 1,249 dams and 85 sires and raised in the Andalusian region (Spain) were analyzed. The effect of heat stress was measured using the temperature-humidity index, calculated with climatological data obtained from four weather stations. A bivariate-random-regression reaction-norm model was used to estimate the (co)variance components of weight until weaning in two different climatic seasons corresponding to warm and cold months. Results: The heritability pattern of individuals reared under diverse environments during the first 90 days of age was different. However, differences were not significant at the end of the growing period. Weaned calves reared during the cold season showed greater growth from 70 to 160 days in comparison with those reared during the warm season. Conclusions: Highly significant evidence of genotype-climatic condition interaction was found during the calf´s first three months of growth.

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Author Biographies

Rosa M. Morales, University of Córdoba

https://orcid.org/0000-0003-2113-0608
Department of Genetics, Faculty of Veterinary Medicine, University of Córdoba, Spain.

Alberto Menéndez-Buxadera, University of Córdoba

https://orcid.org/0000-0002-0408-4200
Department of Genetics, Faculty of Veterinary Medicine, University of Córdoba, Spain.

Sebastián Demyda-Peyrás, National University of La Plata

https://orcid.org/0000-0003-3286-2441
Institute of Veterinary Genetics “Ing. Fernando N. Dulout”- IGEVET, National University of La Plata, National Council for Scientific and Technical Research (UNLP-CONICET), Faculty of Veterinary Sciences - UNLP, La Plata, Argentina.

 

Antonio Molina, University of Córdoba

http://orcid.org/0000-0002-9566-6600
Department of Genetics, Faculty of Veterinary Medicine, University of Córdoba, Spain.

References

Aguilar I, Misztal I, Tsuruta S. Genetic components of heat stress for dairy cattle with multiple lactations. J Dairy Sci 2009; 92:5702-11. DOI: https://doi.org/10.3168/jds.2008-1928

Bohmanova J, Misztal I, Tsuruta S, Norman HD, Lawlor TJ. National genetic evaluation of milk yield for heat tolerance of United States Holsteins. Interbull Bulletin 2005; 33:160-2. DOI:https://doi.org/10.3168/jds.S0022-0302(04)73216-6

Bradford HL, Fragomeni BO, Bertrand JK, Lourenco DA, Misztal I. Genetic evaluations for growth heat tolerance in Angus cattle. J Anim Sci 2016; 94:4143-50. DOI: https://doi.org/10.2527/jas.2016-0707

Brugemann K, Gernand E, von Borstel UU, Konig S. Genetic analyses of protein yield in dairy cows applying random regression models with time-dependent and temperature x humidity-dependent covariates. J Dairy Sci 2011; 94:4129-39. DOI: https://doi.org/10.3168/jds.2010-4063

Carabano MJ, Bachagha K, Ramon M, Diaz C. Modeling heat stress effect on Holstein cows under hot and dry conditions: selection tools. J Dairy Sci. 2014;97(12):7889-904. Epub 2014/09/30. DOI: https://doi.org/10.3168/jds.2014-8023

Carabano MJ, Ramon M, Diaz C, Molina A, Perez-Guzman MD, Serradilla JM. Breeding and genetics symposium: Breeding for resilience to heat stress effects in dairy ruminants. A comprehensive review. J Anim Sci 2017; 95:1813-26. DOI: https://doi.org/10.2527/jas.2016.1114

Cardoso FF, Tempelman RJ. Linear reaction norm models for genetic merit prediction of Angus cattle under genotype by environment interaction. J Anim Sci 2012; 90:2130-41. DOI: https://doi.org/10.2527/jas.2011-4333

Collier RJ, Zimbelman RB. Heat stress effects on cattle: what we know and what we don't know. Proc of the Southwest Nutrition and Management Conference, The University of Arizona, Tucson, February 23rd. 2007.

Finocchiaro R, van Kaam JB, Portolano B, Misztal I. Effect of heat stress on production of Mediterranean dairy sheep. J Dairy Sci 2005; 88:1855-64. DOI:https://doi.org/10.3168/jds.S0022-0302(05)72860-5

Fragomeni B, Tsuruta S, Lourenco D, Gray K, Huang Y, Misztal I. Genomic mitigation of seasonality effect on carcass weight in commercial pigs. J Anim Sci 2015; 93:847.

Gilmour AR, Gogel BJ, Cullis BR, Thompson R. ASReml User Guide Release 3.0. United Kingdom: VSN International Ltd; 2009.

Gutiérrez JP, and Goyache F, A note on ENDOG: a computer program for analysing pedigree information. J Anim Breed Genet 2005; 122:172-176. DOI:https://doi.org/10.1111/j.1439-0388.2005.00512.x

IPCC. Climate Change 2014 Synthesis Report: Fifth Assessment Report. In: Meyer RKPaLA, editor. Geneva, Switzerland 2014. p. 151.

Jong G. Phenotypic plasticity as a product of selection in a variable environment. Amer Nat 1995;145:493-512.

Kenward MG, Roger JH. The precision of fixed effects estimatimates from resctricted maximum likelihood. Biometrics 1997; 53:983-997.

Kottek M, Grieser J, Beck C, Rudolf B, Rubel F. World map of the Köppen-Geiger climate classification updated. Meteorol Z 2006; 15:259-63.

Lacetera N, Bernabucci U, Ronchi B. Nardone A. Body condition score, metabolic status and milk production of early lactating dairy cows exposed to warm environment. Riv Agric Subtrop Trop 1996; 90(1):43-55.

Mader TL. Environmental stress in confined beef cattle. J Anim Sci 2003; 81:110-9. DOI: https://doi.org/10.2527/2003.8114_suppl_2E110x

Maignel L, Boichard D, Verrier E. Genetic variability of French dairy breeds estimated from pedigree information. Interbull Bull 1996; 14:49-54.

Misztal I. Model to study genetic component of heat stress in dairy cattle using national data. J Dairy Sci 1999;82:32.

Morales R, Menéndez-Buxadera A, Avilés C, Molina A. Direct and maternal genetic effects for preweaning growth in Retinta cattle estimated by a longitudinal approach throughout the calving trajectory of the cow. J Anim Breed and Genet 2013;130:425-34. DOI: https://doi.org/10.1111/jbg.12038

Nienaber JA, Hahn GL. Livestock production system management responses to thermal challenges. Int J Biometeorol 2007;52:149-57. DOI: https://doi.org/10.1007/s00484-007-0103-x

Ravagnolo O, Misztal I. Genetic component of heat stress in dairy cattle, parameter estimation. J Dairy Sci 2000;83:2126-30. DOI:https://doi.org/10.3168/jds.S0022-0302(00)75095-8

Rodero-Serrano E, Demyda-Peyrás S, González-Martinez A, Rodero-Franganillo A, Moreno-Millán M. The rob(1;29) chromosome translocation in endangered Andalusian cattle breeds. Livestock Science 2013;158:32-9. DOI: https://doi.org/10.1016/j.livsci.2013.10.001

Sanchez JP, Misztal I, Aguilar I, Zumbach B, Rekaya R. Genetic determination of the onset of heat stress on daily milk production in the US Holstein cattle. J Dairy Sci 2009; 92:4035-45. DOI: https://doi.org/10.3168/jds.2008-1626

Santana ML, Jr., Bignardi AB, Eler JP, Ferraz JB. Genetic variation of the weaning weight of beef cattle as a function of accumulated heat stress. J Anim Breed and Genet 2016; 133:92-104. DOI: https://doi.org/10.1111/jbg.12169

Silanikove N. Effects of heat stress on the welfare of extensively managed domestic ruminants. Livest Prod Sci 2000; 67:1-18. DOI:https://doi.org/10.1016/S0301-6226(00)00162-7

St-Pierre NR, Cobanov B, Schnitkey G. Economic Losses from Heat Stress by US Livestock Industries1. J Dairy Sci 2003;86, Supplement: E52-E77. DOI:https://doi.org/10.3168/jds.S0022-0302(03)74040-5

Tucker CB, Rogers AR, Schütz KE. Effect of solar radiation on dairy cattle behaviour, use of shade and body temperature in a pasture-based system. Appl Anim Behav Sci 2008; 109:141-54. DOI:https://doi.org/10.1016/j.applanim.2007.03.015

Vercoe JE, Frisch JE. Animal breeding and genetics with particular reference to beef cattle in the tropics. 4th World Conference on Animal Production. Buenos Aires, Argentina 1980. p. 452-63.

Zumbach B, Misztal I, Tsuruta S, Sanchez JP, Azain M, Herring W, et al. Genetic components of heat stress in finishing pigs: Parameter estimation. J Anim Sci 2008; 86:2076-81. DOI: https://doi.org/10.2527/jas.2007-0282

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Published

2019-09-16

How to Cite

Morales, R. M., Menéndez-Buxadera, A., Demyda-Peyrás, S., & Molina, A. (2019). Genetic effects of season on the preweaning growth of beef cattle: a first approach to Retinta calves. Revista Colombiana De Ciencias Pecuarias, 33(2), 134–143. https://doi.org/10.17533/udea.rccp.v33n2a01

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Short communications