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Genotype-environment interaction for productive traits of Holstein cows in Brazil described by reaction norms

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Abstract

Brazil is the world’s fourth largest milk producer; this activity extends throughout the national territory, with productions of approximate 34 billion liters of milk per year. The objective of this work was to evaluate the genotype-environment interaction (GEI) in purebred Holstein cows for milk (M), protein (P), and fat (F) yields. The statistical models used were the standard animal model (AM), which disregards the GEI, and hierarchical reaction norm models with homoscedastic (HRNMHO) and heteroscedastic (HRNMHE) residual variance, and one (HRNMHO1S and HRNMHE1S) and two (HRNMHO2S and HRNMHE2S) steps. HRNMHO1S presented a better fit of the data for all traits, with higher heritability for the best environments. Most bulls presented robust phenotypes; however, GEI was found with a reclassification of the bulls in the environmental gradient. Although few, and less used, bulls with plastic phenotypes were found for all traits, and the use of them can optimize genetic gains in specific environments.

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References

  • Ambrosini, D.P., Malhado, C.H.M., Martins Filho, R., Cardoso, F.F., Carneiro, P.L.S. 2016. Genotype x environment interactions in reproductive traits of Nellore cattle in northeastern Brazil. Tropical Animal Health and Production, 48:(7):1401–1407.

    Article  PubMed  Google Scholar 

  • Andrade, L.M., El Faro, L., Cardoso, V.L., Albuquerque, L.G., Cassoli, L.D., Machado, P.F. 2007. Genetic and environmental effects on milk yield and somatic cell count of Holstein cows. Revista Brasileira de Zootecnia, 36:(2):343–349.

    Article  Google Scholar 

  • Araujo, C.V., Resende, G.S.A., Araujo, S.I., Rennó, F.P., Tomazini, A.P.I., Marques, J.R.F. 2009. In Genotype-environment interaction in Brown Swiss dairy cattle, using Bayesian inference. Acta Scient. Anim. Sciences, 31:(2):205-211.

  • Bignardi, A.B., Faro, L.E., Pereira, R.J., Ayres, D.R., Machado, P.F., Albuquerque, L.G., Santana Jr., M.L. 2015. Reaction norm model to describe environmental sensitivity across first in dairy cattle under tropical conditions. Tropical Animal Health and Production, 47:(7):1405–1410.

    Article  PubMed  Google Scholar 

  • Boligon, A.A., Rorato, P.R.N., Ferreira, G.B.B., Weber, T., Kippert, C.J., Andrezza, J. 2005. Heritability and genetic trend for milk and fat yields in Holstein herds raised in the state of Rio Grande do Sul. Revista Brasileira de Zootecnia, 34:(5):1512–1518.

    Article  Google Scholar 

  • Cardoso, F.F., Tempelman, R.J. 2012. Linear reaction norm models for genetic merit prediction of Angis cattle under genotype by environment interaction. Journal of Animal Science, 90:(7):2130–41.

    Article  CAS  PubMed  Google Scholar 

  • Cardoso, F.F. 2010. Application of bayesian inference in animal breeding using the Intergen program: manual of version 1.2. Embrapa Pecuária Sul (Document, 34).

  • Chegini, A., Shadparvar, A.A., Hossein-Zadeh, N.G. 2013. Genetic trendes for milk yield, persistency of milk yield, somatic cell count and calving interval in Holstein dairy cows of Iran. Iranian Journal of Applied Animal Science, 3:(3):503–508.

    Google Scholar 

  • Dezetter, C., Leclerc, H., Mattalia, S., Barbat, A., Boichard, D., Ducrocq, V. 2015. Inbreeding and crossbreeding parameters for production and fertility traits in Holstein, Montbéliarde, and Normande cows. Journal of Dairy Science, 98:(7):4904–13.

    Article  CAS  PubMed  Google Scholar 

  • Durães, M.C., Freitas, A.F., Valente, J., Teixeira, N.M., Barra, R.B., 2001. Genetic Trend for Milk and Fat Productions for Holstein Cattle in Minas Gerais State. Revista Brasileira de Zootecnia, 30:(1):66–70.

    Article  Google Scholar 

  • Falconer, D.S. 1990. Selection in different environments: effects on environmental sensitivity (reaction norm) and on mean performance. Genetics Research, 56:(1):57–70.

    Article  Google Scholar 

  • Geweke, J. 1992. Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments. In: Bernado, J.M., Berger, J.O., Dawid, A.P., Smit, A.F.M. (Eds.). Bayesian statistics. New York: Oxford University, 526p.

    Google Scholar 

  • Huquet, B., Leclerc, H., Ducrocq, V., 2012. Modelling and estimation of genotype by environment interactions for production traits in French dairy cattle. Genetics Selection Evolution, 44:(1):35.

    Article  Google Scholar 

  • Irano, N., Bignardi, A.B., El Faro, L., Santana, M.L.J.R., Cardoso, V.L., Albuquerque, L.G. 2014. Genetic association between milk yield, stayability, and mastitis in Holstein cows under tropical conditions. Tropical Animal Health Producion, 46:(3):529–535.

    Article  Google Scholar 

  • Ismael, A., Strandberg, E., Berglund, B., Kargo, M., Fogh, A., Lovendahl, P. 2016a. Seasonality of fertility measured by physical activity traits in Holstein cows. Journal of Dairy Science, 99:(4):2837–2848.

    Article  CAS  PubMed  Google Scholar 

  • Ismael, A., Sstrandberg, E., Berglund, B., Kargo, M., Fogh, A., Lovendahl, P. 2016b. Genotype by environment interaction for activity-based estrus traits in relation to production level for Danish Holstein. Journal of Dairy Science, 99:(12):9834–9844.

    Article  CAS  PubMed  Google Scholar 

  • Kolmodin, R., Strandberg, E., Madsen, P., Jensen, J., Jorjani, H. 2002. Genotype by environment interaction in Nordic Dairy Cattle studied using reaction norms. Acta Agriculture Scandinavia, Section A, Animal Science, 52:(1):11–24.

    Google Scholar 

  • Li, X., Lund, M.S., Zhang, Q., Costa, C.N., Ducrocq, V., Su, G. 2016. Short communication: Improving accuracy of predicting breeding values in Brazilian Holstein population by adding data from Nordic and French Holstein populations. Journal of Dairy Science, 99:(6): 4574–4579.

    Article  CAS  PubMed  Google Scholar 

  • Lopes, M.M., Soares, E.P., Souza, D.R., Neves, F.R., Amaral, R.S. 2017. Custos de Produção da Pecuária Leiteira: Estudo em uma Instituição Federal. Revista de Auditoria Governança e Contabilidade, 5:(19):33–44.

    Google Scholar 

  • Macneil, M.D., Cardoso, F.F., Hay, E. 2017. Genotype by environment interaction effects in genetic evaluation of preweaning gain for Line 1 Hereford cattle from Miles City, Montana. Journal of Animal Science, 95:(9):3833–3838.

    CAS  PubMed  Google Scholar 

  • Montaldo, H.H., Pelcastra-Cruz, A., Castillo-Juárez, H., Ruiz-López, F.J., Miglior, F. 2017. Genotype x environment interaction for fertility and milk yield traits in Canadian, Mexican and US Holstein cattle. Spanish Journal of Agricultural Research, 15:(2):1–9.

    Article  Google Scholar 

  • Ouweltjes, W., Windig, J.J., Van Pelt, M.L., Callus, M.P.L. 2015. Genotype by environment interaction for livability of dairy calves from first parity cows. Animal, 9:(10):1617–1623.

    Article  CAS  PubMed  Google Scholar 

  • R Development Core Team, 2013. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, URL http://www.R-project.org/. R Found. Stat. Comput. Vienna, Austria.

    Google Scholar 

  • Raftery, A.E., Lewis, S.M. 1992. Comment: One long run with diagnostics: Implementation strategies for markov chain monte carlo. Statistical Science, 7:(4):493–497.

    Article  Google Scholar 

  • Roso, V.M., Shenkel, F.S. 2006. AMC – A computer program to assess the degree of connectedness among contemporary groups. In: 8th World Congress on Genetics Applied to Livestock Production. Belo Horizonte, MG, Brasil August 13-18, communication no 27-26.

  • Santana, M.L, Bignardi, A.B., Pereira, R.J., Stefani, G., El Faro, L. 2017. Genetics of heat tolerance for milk yield and quality in Holsteins. Animal, 11:(1):4–14.

    Article  CAS  PubMed  Google Scholar 

  • SAS INSTITUTE INC. (2002) SAS/STAT. SAS Institute Inc.

  • Scarpati, M.T.V., Lôbo, R.B. 1999. Alternative animal models to estimate (co) variance components and genetic and phenotypic parameters for birth weight in Nellore cattle. Revista Brasileira de Zootecnia, 28:(3):512–518.

    Article  Google Scholar 

  • Schlichting, C.D., Pigliucci, M. 1998. Phenotypic Evolution: A Reaction Norm Perspective. Sin. Associates, Sunderland.

    Google Scholar 

  • Silva, M.H.M.A., Malhado, C.H.M., Costa Junior, J.L., Cobuci, J.A., Costa, C.N.C., Carneiro, P.L.S., 2016. Population genetic structure in the Holtein breed in Brazil. Tropical Animal Health and Production, 47:(7):331–336.

    Article  Google Scholar 

  • Smith, B.J. 2007. Bayesian output analysis program (BOA) version 1.1.7.2 User’s manual. Iowa: University Of Iowa.

    Google Scholar 

  • Stock, L.A., Carneiro, A.V., Carvalho, G.R., Zoccal, R., Martins, P.C., Yamaguchi, L.C.T. 2008. Production systems and their representativeness in milk production in Brazil. In: Latin American Livestock Association Meeting, Cuzco. Anal, ALPA, 17–18.

    Google Scholar 

  • Strandberg, E., Brotherstone, S., Wall, E., Coffey, M.P. 2009. Genotype by environment interaction for first- female fertility traits in UK dairy cattle. Journal of Dairy Science, 92:(7):3437–3446.

    Article  CAS  PubMed  Google Scholar 

  • Streit, M., Reinhardt, F., Thaller, G., Bennewitz, J. 2013. Genome-wide association analysis to identify genotype × environment interaction for milk protein yield and level of somatic cell score as environmental descriptors in German Holsteins. Journal of Dairy Science, 96:(11):7318–7324.

    Article  CAS  PubMed  Google Scholar 

  • Su, G., Madsen, P., Lund, M.S., Sorensen, D., Korsgaard, I.R., Jensen, J. 2006. Bayesian analysis of the linear reaction norm model with unknown covariates. Journal of Animal Science, 84:(7):1651–1657.

    Article  CAS  PubMed  Google Scholar 

  • Tiezzi, F., Los Campos, G., Parker Gaddis, K.L., Maltecca, C. 2017. Genotype by environment (climate) interaction improves genomic prediction for production traits in US Holstein cattle. Journal of Dairy Science, 100:(3):2042–2056.

    Article  CAS  PubMed  Google Scholar 

  • Tiezzi, F., Parker Gaddis, J.S.C., Maltecca, C. 2015. Accounting for Genotype by Environment Interaction in Genomic Predictions for US Holstein Dairy Cattle. INTERBULL BULLETIN No. 49. Orlando, Florida, July 09–12.

  • Tsuruta, S., Lourenco, D.A.L., Misztal, I., Lawlort, T.J. 2015. Genotype by environment interactions on culling rates and 305-day milk yield of Holstein cows in 3 US regions. Journal of Dairy Science, 98:(8): 5796–805.

    Article  CAS  PubMed  Google Scholar 

  • Vargas, A.D.F., Faro, L.E., Cardoso, V.L., Machado, P.F., Cassoli, L.D. 2006. Estimates of genetic parameters for test day and accumulated 305 day milk yields of first lactation Holstein cows. Revista Brasileira de Zootecnia, 35:(5):1959–1965.

    Article  Google Scholar 

  • Voges, J.G., Thaler Neto, A., Kazama, D.C.S. 2015. Milk quality and its relation with the production system and the structure for milking. Revista Brasileira de Ciência Veterinária, 22:(3–4):171–175.

    Article  Google Scholar 

  • Weber, T., Rorato, P.R.N., Ferreira, G.B.B., Boligon, A.A., Gheller, D.G., Guterres, L.F.W. 2005. Heritability Coefficients and Genetic Correlations for Milk and Fat Yields at Different Production Levels for Holstein Breed in the State of Rio Grande do Sul. Revista Brasileira de Zootecnia, 34:(2):514–519.

    Article  Google Scholar 

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Acknowledgments

The authors thank Embrapa Dairy Cattle (CNPGL) and the Brazilian Association of Holstein Cattle Breeders (ABCBRH) for providing the data used in this study, Doctor Claudio Napolis Costa (Project Coordinator-MP2) for his contributions to the partnership between these companies, and the Federal University of Rio Grande do Sul (UFRGS).

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Authors and Affiliations

  1. State University of Southwest of Bahia, Jequié, BA, Brazil

    Jarbas Corrêa Santos, Carlos Henrique Mendes Malhado & Paulo Luiz Souza Carneiro

  2. Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil

    Jaime Araújo Cobuci

  3. National Association of Cattle Breeders of Piedmontese Breed, Carrù, CN, Italy

    Marcos Paulo Gonçalves de Rezende

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  1. Jarbas Corrêa Santos
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  2. Carlos Henrique Mendes Malhado
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Correspondence to Jarbas Corrêa Santos.

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Santos, J.C., Malhado, C.H.M., Cobuci, J.A. et al. Genotype-environment interaction for productive traits of Holstein cows in Brazil described by reaction norms. Trop Anim Health Prod 52, 2425–2432 (2020). https://doi.org/10.1007/s11250-020-02269-8

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