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

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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.

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.

참고문헌 (22)

  1. van der Laak M, "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, 99, pp.4496~4503 (2016)
  2. Zwald NR, "Identification of factors that cause genotype by environment interaction between herds of Holstein cattle in seventeen countries", J Dairy Sci, 86, pp.1009~1018 (2003)
  3. Boligon AA, "Heritability and genetic trend for milk and fat yields in Holstein herds raised in the State of Rio Grande do Sul", R Bras Zootec, 34, pp.1512~1518 (2005)
  4. Pedrosa VB, "Genetic trends in dairy yield of Brazilian Holstein cow", Joint Annual Meeting - ADSA, 2015, 346~[DOI]
  5. (2010)[URL]
  6. Paula MC, "Genotype × environment interaction for milk yield of Holstein cows among dairy production units in the state of Paraná", Rev Bras Zootec, 38, pp.467~473 (2009)
  7. (2000)[URL]
  8. Falconer DS, "The problem of environment and selection", Am Nat, 86, pp.293~298 (1952)
  9. Groeneveld E, "VCE User’s guide and reference manual. Version 6.0" (2008), Federal Agricultural Research Center
  10. Groeneveld E, "PEST2 User’s guide and reference manual. Version 2.0" (2009), Federal Agricultural Research Center
  11. Statistical Analysis System, ". Version 9.1" (2009), SAS Institute
  12. Pedrosa VB, "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, 13, pp.7013~7021 (2014)
  13. Montaldo HH, "Genotype-environment 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, 33, pp.23~33 (2015)
  14. Rafael Viegas Campos, "Genetic Parameters for Linear Type Traits and Milk, Fat, and Protein Production in Holstein Cows in Brazil", Animal Bioscience, 28(4), pp.476~484 (2015), 아세아·태평양축산학회[DOI]
  15. Huquet B, "Modelling and estimation of genotype by environment interactions for production traits in French dairy cattle", Genet Sel Evol, 44, pp.35~ (2012)
  16. Bernabucci U, "The effects of heat stress in Italian Holstein dairy cattle", J Dairy Sci, 97, pp.471~486 (2014)
  17. Robertson A, "The sampling variance of the genetic correlation coefficient", Biometrics, 15, pp.469~485 (1959)
  18. Kolmodin R, "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, 54, pp.139~151 (2004)
  19. Ismael A, "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, 99, pp.5498~5507 (2016)
  20. Carabaño MJ, "Modeling heat stress effect on Holstein cows under hot and dry conditions : Selection tools", J Dairy Sci, 97, pp.7889~7904 (2014)
  21. Calus MPL, "Estimation of environmental sensitivity of genetic merit for milk production traits using a random regression model", J Dairy Sci, 86, pp.3756~3764 (2003)
  22. Mulder HA, "Optimization of dairy cattle breeding programs for different environments with genotype by environment interaction", J Dairy Sci, 89, pp.1740~1752 (2006)

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