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Evaluation of genotype by environment interactions on milk production traits of Holstein cows in southern Brazil

  • Moreira, Raphael Patrick (Department of Animal Science, Ponta Grossa State University) ;
  • Pinto, Luis Fernando Batista (Department of Animal Science, Federal University of Bahia) ;
  • Valloto, Altair Antonio (Parana Holstein Breeders Association - APCBRH) ;
  • Pedrosa, Victor Breno (Department of Animal Science, Ponta Grossa State University)
  • Received : 2018.02.27
  • Accepted : 2018.07.16
  • Published : 2019.04.01

Abstract

Objective: This study assessed the possible existence of genotype by environment interactions for milk, fat and protein yields in Holstein cattle raised in one of the most important milk production basins in Brazil. Methods: Changes in the genetic parameters and breeding values were evaluated for 57,967 animals from three distinct regions of southern Brazil, divided according to differences in climate. The genotype by environment interaction was determined by genetic correlations between regions, estimated by the restricted maximum likelihood, considering the animal model. Bull rankings were investigated to verify the ratio of coincident selected animals between regions for each trait. Results: The estimates of heritability coefficients were similar between two regions, but were lower in the third evaluated area, for all traits. Genetic correlations between regions were high, ranging from 0.91 to 0.99 for milk, fat and protein yields, representing the absence of a genotype by environment interaction for productive traits. The percentage of selection error between regions for the top 10% of animals ranged from 0.88% to 2.07% for milk yield, 0.99% to 2.46% for fat yield and 0.59% to 3.15% for protein yield. Conclusion: A slight change in genotype between areas was expected since no significant genotype by environment interactions were identified, facilitating the process of selecting Holstein cattle in southern Brazil.

Keywords

Dairy Cattle;Environmental Effects;Genetic Evaluation;Milk Yield;Milk Solids

References

  1. van der Laak M, van Pelt ML, de Jong G, Mulder HA. Genotype by environment interaction for production, somatic cell score, workability, and conformation traits in Ducth Holstein-Friesian cows between farms with or without grazing. J Dairy Sci 2016;99:4496-503. https://doi.org/10.3168/jds.2015-10555
  2. Zwald NR, Weigel KA, Fikse WF, Rekaya R. Identification of factors that cause genotype by environment interaction between herds of Holstein cattle in seventeen countries. J Dairy Sci 2003;86:1009-18. https://doi.org/10.3168/jds.S0022-0302(03)73684-4
  3. Boligon AA, Rorato PRN, Ferreira GBB, et al. Heritability and genetic trend for milk and fat yields in Holstein herds raised in the State of Rio Grande do Sul. R Bras Zootec 2005;34:1512-8. https://doi.org/10.1590/S1516-35982005000500011
  4. Pedrosa VB, Valloto AA, Horst JA, Figueiredo AM, Martins AS. Genetic trends in dairy yield of Brazilian Holstein cow. In: Joint Annual Meeting - ADSA/ASAS 2015, 2015 Jul 12-Jul 16; Orlando, FL, USA: American Dairy Science Association; 2015. p. 346.
  5. Analysis of the agricultural scenario 2010-2011 - agrometeorology (2010/2011) [Internet]. Curitiba, PR, Brazil: Rural Economy Department; 2010 [cited 2017 May 03]. Available from: http://www.agricultura.pr.gov.br/arquivos/File/deral/Prognosticos/agrometeorologia_2010_11.pdf
  6. Paula MC, Martins EN, Silva LOC, et al. Genotype $\times$ environment interaction for milk yield of Holstein cows among dairy production units in the state of Parana. Rev Bras Zootec 2009;38:467-73. https://doi.org/10.1590/S1516-35982009000300010
  7. Characterization of dairy cattle in the state of Parana [Internet]. Curitiba, PR, Brazil: Secretary of Agriculture and Supply; 2000 [cited 2015 Nov 10]. Available from: http://www.agricultura.pr.gov.br/arquivos/File/deral/cultura3.pdf
  8. Falconer DS. The problem of environment and selection. Am Nat 1952;86:293-8. https://doi.org/10.1086/281736
  9. Groeneveld E, Kovac M, Mielenz N. VCE User's guide and reference manual. Version 6.0, Mariensee, Neustadt, Germany: Federal Agricultural Research Center (FAL); 2008.
  10. Groeneveld E, Kovac M, Mielenz N. PEST2 User's guide and reference manual. Version 2.0, Mariensee, Neustadt, Germany: Federal Agricultural Research Center (FAL); 2009.
  11. Statistical Analysis System. User's guide [CD-ROM]. Version 9.1, Cary, NC, USA: SAS Institute; 2009.
  12. Pedrosa VB, Eler JP, Ferraz JB, Groeneveld E. Use of weaning management group as a random effect for a more robust estimation of genetic parameters for post-weaning traits in Nellore cattle. Genet Mol Res 2014;13:7013-21. https://doi.org/10.4238/2014.February.21.7
  13. Montaldo HH, Castillo-Juarez H, Lizana C, et al. Genotypeenvironment interaction between Chile and North America and between Chilean herd environmental categories for milk yield traits in Black and White cattle. Anim Sci Pap Rep 2015;33:23-33.
  14. Campos RV, Cobuci JA, Kem EL, Costa CN, Mcmanus CM. Genetic parameters for linear type traits and milk, fat, and protein production in Holstein cows in Brazil. Asian-Australas J Anim Sci 2015;28:476-84. https://doi.org/10.5713/ajas.14.0288
  15. Huquet B, Leclerc H, Ducrocq V. Modelling and estimation of genotype by environment interactions for production traits in French dairy cattle. Genet Sel Evol 2012;44:35. https://doi.org/10.1186/1297-9686-44-35
  16. Bernabucci U, Biffani S, Buggiotti L, et al. The effects of heat stress in Italian Holstein dairy cattle. J Dairy Sci 2014;97:471-86. https://doi.org/10.3168/jds.2013-6611
  17. Robertson A. The sampling variance of the genetic correlation coefficient. Biometrics 1959;15:469-85. https://doi.org/10.2307/2527750
  18. Kolmodin R, Strandberg E, Danell B, Jorjani H. Reaction norms for protein yield and days open in Swedish red and white dairy cattle in relation to various environmental variables. Acta Agric Scand Sect A Anim Sci 2004;54:139-51.
  19. Ismael A, Strandberg E, Berglund B, et al. Genotype by environment interaction for the interval from calving to first insemination with regard to calving month and geographic location in Holstein cows in Denmark and Sweden. J Dairy Sci 2016;99:5498-507. https://doi.org/10.3168/jds.2015-10820
  20. 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;97:7889-904. https://doi.org/10.3168/jds.2014-8023
  21. Calus MPL, Veerkamp RF. Estimation of environmental sensitivity of genetic merit for milk production traits using a random regression model. J Dairy Sci 2003;86:3756-64. https://doi.org/10.3168/jds.S0022-0302(03)73982-4
  22. Mulder HA, Veerkamp RF, Ducro BJ, van Arendonk JAM, Bijma P. Optimization of dairy cattle breeding programs for different environments with genotype by environment interaction. J Dairy Sci 2006;89:1740-52. https://doi.org/10.3168/jds.S0022-0302(06)72242-1