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Impact of different numbers of milk test-day records during lactation on the reliability of estimated breeding values

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Abstract

The objective of this study was to evaluate the impact of the reduction in the number of test-day records per lactation on genetic parameters of test-day milk yield (TDMY) and the reliability of estimated breeding values for 305-day milk yield in Holstein cattle. Estimates of genetic parameters and breeding values were performed using the animal model of random regression and adjustment of the Legendre polynomial (fourth order). When comparing sires with the same number of daughters, greater reliability was found in the subpopulations with the highest number of milk test-day records per lactation per cow. It was also found that the elimination of at least one test-day record affected the reliability of estimated breeding value for 305-day milk yield in the sires, regardless of the class of number of daughters per sire. When selecting the 5% best sires and 20% best cows, the lowest order correlations were observed between the population with 10 test-day records per lactation (complete lactation) and the other subpopulations with incomplete lactations (4, 5, 6, 7, 8, 9 test-day records per lactation). The reduction in the number of test-day milk records per lactation interferes in the reliability of the estimated breeding value for sires and cows, negatively impacting the precision of selecting genetically superior animals.

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Data availability

The datasets analyzed during the current study are not publicly available due to the data provider’s request.

References

  • Araújo, C.V., Torres, R.D.A., Costa, C.N., Torres Filho, R.D.A., Araújo, S.I., Lopes, P.S., Regazzi, A.J., Pereira, C.S. and Sarmento, J.L.R., 2006. Uso de modelos de regressão aleatória para descrever a variação genética da produção de leite na raça Holandesa Revista Brasileira de Zootecnia, 35, 975–981

  • Biassus, I.D.O., Cobuci, J.A., Costa, C.N., Roberto, P., Rorato, N., Neto, J.B. and Cardoso, L.L., 2011. Genetic parameters for production traits in primiparous Holstein cows estimated by random regression models Revista Brasileira de Zootecnia, 40, 85–94

    Article  Google Scholar 

  • Bignardi, A.B., El Faro, L., Lucia, V., Fernando, P., Galvão, L. and Albuquerque, D., 2009. Random regression models to estimate test-day milk yield genetic parameters Holstein cows in Southeastern Brazil Livestock Science, 123, 1–7

    Article  Google Scholar 

  • Cardoso, V.L., Cassoli, L.D., Guilhermino, M.M., Machado, P.F., Nogueira, J.R. and Freitas, M.A.R., 2005. Análise econômica de esquemas alternativos de controle leiteiro Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 57, 85–92

    Google Scholar 

  • Cobuci, J.A., Costa, C.N., Braccini-Neto, J. and Freitas, A.F., 2011. Genetic parameters for milk production by using random regression models with different alternatives of fixed regression modeling Revista Brasileira de Zootecnia, 40, 557–567

    Article  Google Scholar 

  • Costa, C.N., Manoel, C., Melo, R. De, Packer, I.U., Freitas, A.F. De, Teixeira, N.M. and Cobuci, J.A., 2008. Genetic parameters for test day milk yield of first lactation Holstein cows estimated by random regression using Legendre polynomials Parâmetros genéticos para a produção de leite do dia do controle da primeira lactação de Brazilian Journal of Animal Science, 37, 602–608

    Google Scholar 

  • Damane, M.M., Fozi, M.A. and Mehrgardi, A.A., 2016. Influence of milking frequency on genetic parameters associated with the milk production in the first and second lactations of Iranian Holstein dairy cows using random regression test day models Journal of Animal Science and Technology, 58, 5

    Article  Google Scholar 

  • Dionello, N.J.L., Silva, C.A., Costa, C.N. and Cobuci, J.A., 2006. Estimation of genetic parameters for test day milk yield of first lactation Jersey cows using repeatability and random regression models Revista Brasileira De Zootecnia-Brazilian Journal of Animal Science, 35, 1646–1652

    Google Scholar 

  • Dzomba, E., Nephawe, K., Maiwashe, A., Cloete, S., Chimonyo, M., Banga, C., Muller, C. and Dzama, K., 2011. Random regression test-day model for the analysis of dairy cattle production data in South Africa: Creating the framework South African Journal of Animal Science, 40, 273–284

    Google Scholar 

  • Gonzalez-Recio, O., Coffey, M.P. and Pryce, J.E., 2014. On the value of the phenotypes in the genomic era Journal of Dairy Science, 97, 7905–7915

    Article  CAS  Google Scholar 

  • Kirkpatrick, M., Hill, W.G. and Thompson, R., 1994. Estimating the covariance structure of traits during growth and aging, illustrated with lactations in dairy cattle Genetical research, 64, 57–69

    Article  CAS  Google Scholar 

  • Meseret, S. and Negussie, E., 2017. Genetic parameters for test-day milk yield in tropical Holstein Friesian cattle fitting a multiple-lactation random regression animal model South African Journal of Animal Science, 47, 352–361

    Google Scholar 

  • Meseret, S., Tamir, B., Gebreyohannes, G., Lidauer, M. and Negussie, E., 2015. Genetic Analysis of Milk Yield in First-Lactation Holstein Friesian in Ethiopia : A Lactation Average vs Random Regression Test-Day Model Analysis Asian Australas. J. Anim. Sci., 28, 1226–1234

    CAS  Google Scholar 

  • Misztal, I., Tsuruta, S., Strabel, T., Auvray, B., Druet, T. and Lee, D.H., 2002. Blupf90 and Related Programs (Bgf90) In: 7th World Congress on Genetics Applied to Livestock Production, 2001–2002

  • Misztal, I. and Wiggans, G.R., 1988. Approximation of Prediction Error Variance in Large-Scale Animal Models Journal of Dairy Science, 71, 27–32

    Article  Google Scholar 

  • Mohammadi, A., Alijani, S. and Daghighkia, H., 2014. Comparison of different polynomial functions in Random Regression Model for milk production traits of Iranian Holstein dairy cattle Annals of Animal Science, 14, 55–68

    Article  CAS  Google Scholar 

  • Naserkheil, M., Seyed, R.M.A., Ardeshir, N.J., Son, J. and Lee, D., 2016. Random regression models using legendre polynomials to estimate genetic parameters for test-day milk protein yields in iranian holstein dairy cattle Asian-Australasian Journal of Animal Sciences, 29, 1682–1687

    Article  Google Scholar 

  • Ojango, J.M.K., Wasike, C.B., Enahoro, D.K. and Okeyo, A.M., 2016. Dairy production systems and the adoption of genetic and breeding technologies in Tanzania, Kenya, India and Nicaragua Animal Genetic Resources/Ressources génétiques animales/Recursos genéticos animales, 59, 81–95

    Article  Google Scholar 

  • Oliveira, H.R., Brito, L., Silva, F., Lourenco, D., Jamrozik, J. and Schenkel, F., 2019a. Genomic prediction of lactation curves for milk, fat, protein, and somatic cell score in Holstein cattle Journal of Dairy Science, 102, 452–463

    Article  CAS  Google Scholar 

  • Oliveira, H.R., Lourenco, D.A.L., Masuda, Y., Misztal, I., Tsuruta, S., Jamrozik, J., Brito, L.F., Silva, F.F. and Schenkel, F.S., 2019b. Application of single-step genomic evaluation using multiple-trait random regression test-day models in dairy cattle. Journal of Dairy Science 1–13

  • Olori, V.E., Hill, W.G., McGuirk, B.J. and Brotherstone, S., 1999. Estimating variance components for test day milk records by restricted maximum likelihood with a random regression animal model Livestock Production Science, 61, 53–63

    Article  Google Scholar 

  • Padilha, A.H., Cobuci, J.A., Costa, C.N. and Neto, J.B., 2016. Random regression models are suitable to substitute the traditional 305-day lactation model in genetic evaluations of holstein cattle in Brazil Asian-Australasian Journal of Animal Sciences, 29, 759–767

    Google Scholar 

  • Padilha, A.H., Costa, C.N., Braccini Neto, J., Daltro, D. dos S. and Cobuci, J.A., 2017. Selecting random regression models under different minimum number of test day records Livestock Science, 199, 69–73

    Article  Google Scholar 

  • Rural Pecuária, 2016. Rural Pecuária (São José do Rio Preto)

  • Santos, D.J.A., Peixoto, M.G.C.D., Aspilcueta Borquis, R.R., Panetto, J.C.C., El Faro, L. and Tonhati, H., 2014. Predicting breeding values for milk yield of Guzerá (Bos indicus) cows using random regression models Livestock Science, 167, 41–50

    Article  Google Scholar 

  • Sousa Júnior, S.C. de, Faro, L. El, Bignardi, A.B., Cardoso, V.L., Machado, P.F. and Albuquerque, L.G. de, 2014. Aplicação de modelos de regressão aleatória utilizando diferentes estruturas de dados Ciência Rural, 44, 2058–2063

    Google Scholar 

  • Teixeira, N.M., Freitas, A.F., Costa, C.N., Cobuci, J.A. and Barra, R.B., 2006. Controles alternados das ordenhas da manhã e da tarde para estimação da produção de leite na lactação Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 58, 394–400

    Google Scholar 

  • Torshizi, M.E., Aslamenejad, A.A., Nassiri, M.R., Farhangfar, H., Solkner, J., Kovac, M., Meszaros, G. and Malovrh, S., 2013. Analysis of Test Day Milk Yield by Random Regression Models and Evaluation of Persistency in Iranian Dairy Cows Iranian journal of applied animal science, 3, 67–76

    Google Scholar 

  • VanRaden, P.M., Van Tassell, C.P., Wiggans, G.R., Sonstegard, T.S., Schnabel, R.D., Taylor, J.F. and Schenkel, F.S., 2009. Invited review: Reliability of genomic predictions for North American Holstein bulls Journal of Dairy Science, 92, 16–24

    Article  CAS  Google Scholar 

  • Zavadilová, L., Jamrozik, J. and Schaeffer, L.R., 2005. Genetic parameters for test-day model with random regressions for production traits of Czech Holstein cattle Czech Journal of Animal Science, 50, 142–154

    Article  Google Scholar 

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Funding

This study was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES; Finance Code 001) – Brasil.

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Authors

Contributions

GLF, FCB, PRNR, and JAC conceived and designed research. GLF, VTM, FCB, and MMO conducted analyzed data. GLF, FCB, PRNR, RN, and JAC wrote the manuscript. All authors read and approved the manuscript.

Corresponding authors

Correspondence to Giovani Luis Feltes or Fernanda Cristina Breda.

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This is an observational study. The Federal University of Santa Maria—UFSM Research Ethics Committee has confirmed that no ethical approval is required.

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Informed consent was obtained from all individual participants included in the study.

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The authors declare no competing interests.

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Feltes, G.L., Michelotti, V.T., Oliveira, M.M. et al. Impact of different numbers of milk test-day records during lactation on the reliability of estimated breeding values. Trop Anim Health Prod 54, 301 (2022). https://doi.org/10.1007/s11250-022-03288-3

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