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Genomic evaluation of commercial herds with different pedigree structures using the single-step genomic BLUP in Nelore cattle

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Abstract

The aim of this work was to evaluate the impact of applying genomic information in pedigree uncertainty situations on genetic evaluations for growth- and cow productivity–related traits in Nelore commercial herds. Records for accumulated cow productivity (ACP) and adjusted weight at 450 days of age (W450) were used, as well as genotypes of registered and commercial herd animals, genotyped with the Clarifide Nelore 3.1 panel (~29,000 SNPs). The genetic values for commercial and registered populations were estimated using different approaches that included (ssGBLUP) or did not include genomic information (BLUP), with different pedigree structures. Different scenarios were tested, varying the proportion of young animals with unknown sires (0, 25, 50, 75, and 100%), and unknown maternal grandsires (0, 25, 50, 75, and 100%). The prediction accuracies and abilities were calculated. The estimated breeding value accuracies decreased as the proportion of unknown sires and maternal grandsires increased. The genomic estimated breeding value accuracy using the ssGBLUP was higher in scenarios with a lower proportion of known pedigree when compared to the BLUP methodology. The results obtained with the ssGBLUP showed that it is possible to obtain reliable direct and indirect predictions for young animals from commercial herds without pedigree structure.

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Data availability

The datasets generated and/or analyzed during the current study are available through the corresponding author upon reasonable request.

Code availability

The code generated during this study is available through the corresponding author upon reasonable request.

References

  • Aguilar, I., Misztal, I., Johnson, D.L., Legarra, A., Tsuruta, S. and Lawlor, T.J., 2010. Hot topic : A unified approach to utilize phenotypic, full pedigree , and genomic information for genetic evaluation of Holstein final score Journal of Dairy Science, 93, 743–752

    Article  CAS  PubMed  Google Scholar 

  • Araújo CV, Lôbo RB, Figueiredo LG, Mousquer CJ, Laureano MM, Bittencourt TC, Araújo SI. , 2014. Estimates of genetic parameters of growth traits of Nellore cattle in the Midwest region of Brazil Estimativas de parâmetros genéticos em características de crescimento de bovinos da raça Nelore na região centro-oeste do Brasil Revista Brasileira de Saúde e Produção Animal, 15, 846–853

    Google Scholar 

  • Azevêdo DM, Martins Filho R, Lôbo RN, Lôbo RB, Moura AD, Pimenta Filho EC, Malhado CH., 2005. Produtividade acumulada (PAC) das matrizes em rebanhos Nelore do norte e nordeste do Brasil Revista Brasileira de Zootecnia, 34, 54–59

    Article  Google Scholar 

  • Bermann, M., Legarra, A., Hollifield, M.K., Masuda, Y., Lourenco, D. and Misztal, I., 2021. Validation of single-step GBLUP genomic predictions from threshold models using the linear regression method: An application in chicken mortality Journal of Animal Breeding and Genetics, 138, 4–13

    Article  CAS  PubMed  Google Scholar 

  • Berry, D.P., Garcia, J.F. and Garrick, D.J., 2016. Development and implementation of genomic predictions in beef cattle Animal Frontiers, 6, 32–38

    Google Scholar 

  • Bonamy, M., Kluska, S., Peripolli, E., de Lemos, M.V.A., Amorim, S.T., Vaca, R.J., Lôbo, R.B., de Castro, L.M., de Faria, C.U., Borba Ferrari, F. and Baldi, F., 2018. Genetic association between different criteria to define sexual precocious heifers with growth, carcass, reproductive and feed efficiency indicator traits in Nellore cattle using genomic information Journal of Animal Breeding and Genetics, 136, 15–22

    Article  PubMed  Google Scholar 

  • Bradford, H.L., Masuda, Y., Cole, J.B., Misztal, I. and VanRaden, P.M., 2019a. Modeling pedigree accuracy and uncertain parentage in single-step genomic evaluations of simulated and US Holstein datasets Journal of Dairy Science, 102, 2308–2318

    Article  CAS  PubMed  Google Scholar 

  • Bradford, H.L., Masuda, Y., VanRaden, P.M., Legarra, A. and Misztal, I., 2019b. Modeling missing pedigree in single-step genomic BLUP Journal of Dairy Science, 102, 2336–2346

    Article  CAS  PubMed  Google Scholar 

  • Caires DN, Malhado CH, Souza LD, Teixeira Neto MR, Carneiro PL, Martins Filho R. , 2012. Tabapuã breed in Northeastern Brazil: genetic progress and population structure Revista Brasileira de Zootecnia, 41, 1858–1865

    Article  Google Scholar 

  • Carla, A., Barbosa, B., Henrique, C., Malhado, M., Luiz, P., Carneiro, S., Mirelle, L., Muniz, S., Ambrosini, D.P. and Carrillo, J.A., 2013. Population structure of Nellore cattle in northeastern Brazil Revista Brasileira de Zootecnia, 42, 639–644

    Article  Google Scholar 

  • Carvalheiro, R., 2014. Genomic Selection in Nelore Cattle in Brazil. In: Proceedings, 10 th World Congress of Genetics Applied to Livestock Production, Vancouver, 2014, (Volume Species Breeding: Beef Cattle), 258

  • Cavani L, Silva RM, Carreño LO, Ono RK, Bertipaglia TS, Farah MM, Millen DD, Fonseca RD. 2018. Genetic diversity of Brazilian Brahman cattle by pedigree analysis Pesquisa Agropecuária Brasileira, 53, 74–79

    Article  Google Scholar 

  • Garcia, A., Aguilar, I., Legarra, A., Tsuruta, S., Misztal, I. and Lourenco, D., 2022. Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP Genetics, selection, evolution : GSE, 54, 66

    CAS  PubMed  PubMed Central  Google Scholar 

  • Garcia, A.L.S., Masuda, Y., Tsuruta, S., Miller, S., Misztal, I. and Lourenco, D., 2020. Indirect predictions with a large number of genotyped animals using the algorithm for proven and young Journal of Animal Science, 98, 1–9

    Article  Google Scholar 

  • Garrick, D.J., 2011. The nature, scope and impact of genomic prediction in beef cattle in the United States k Genetics Selection Evolution, 43, 17

    Article  Google Scholar 

  • JBS Ferraz, PE de Felício, 2010. Production systems – An example from Brazil Meat Science, 84, 238–243

    Article  PubMed  Google Scholar 

  • Kuehn, L.A., Lewis, R.M. and Notter, D.R., 2007. Managing the risk of comparing estimated breeding values across flocks or herds through connectedness: a review and application Genetics Selection Evolution, 39, 225–247

    Google Scholar 

  • Legarra, A. and Reverter, A., 2018. Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method Genetics Selection Evolution, 50, 53

    Article  Google Scholar 

  • Lewis, R.M., Crump, R.E., Simm, G. and Thompson, R., 1999. Assessing connectedness in across-flock genetic evaluations Proceedings of the British Society of Animal Science, 1999, 121–121

    Google Scholar 

  • Lôbo, R.B., Bezerra, L.A.F., Oliveira, H.N., Garnero, A., Schwengber, E.B. and Marcondes, C.R., 2000. Avaliação genética de animais jovens, touros e matrizes: Sumário 2000, (GEMAC-USP: Ribeirão Preto, Brazil)

    Google Scholar 

  • Lourenco, D.A.L., Tsuruta, S., Fragomeni, B.O., Masuda, Y., Aguilar, I., Legarra, A., Bertrand, J.K., Amen, T.S., Wang, L., Moser, D.W. and Misztal, I., 2015. Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus Journal of Animal Science, 93, 2653–2662

    Article  CAS  PubMed  Google Scholar 

  • Macedo, F.L., Christensen, O.F., Astruc, J.-M., Aguilar, I., Masuda, Y. and Legarra, A., 2020. Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups Genetics Selection Evolution, 52, 47

    Article  CAS  Google Scholar 

  • Misztal, I., Lourenco, D. and Legarra, A., 2020. Current status of genomic evaluation Journal of Animal Science, 98, 1–14

    Article  Google Scholar 

  • Misztal, I., Legarra, A. and Aguilar, I., 2014. Using recursion to compute the inverse of the genomic relationship matrix Journal of Dairy Science, 97, 3943–3952

    Article  CAS  PubMed  Google Scholar 

  • Misztal, I., Tsuruta, S., Strabel, T., Auvray, B., Druet, T. and Lee, D.H., 2002. BLUPF90 and related programs (BGF90). In: Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, Montpellier, 2002 (Volume 2002. Session 28), 21–22

  • Misztal, I., Vitezica, Z.G., Legarra, A., Aguilar, I. and Swan, A.A., 2013. Unknown-parent groups in single-step genomic evaluation Journal of Animal Breeding and Genetics, 130, 252–258

    Article  CAS  PubMed  Google Scholar 

  • Pszczola, M., Strabel, T., Mulder, H.A. and Calus, M.P.L., 2012. Reliability of direct genomic values for animals with different relationships within and to the reference population Journal of Dairy Science, 95, 389–400

    Article  CAS  PubMed  Google Scholar 

  • Tonussi, R.L., Londoño-Gil, M., de Oliveira Silva, R.M., Magalhães, A.F.B., Amorim, S.T., Kluska, S., Espigolan, R., Peripolli, E., Pereira, A.S.C., Lôbo, R.B., Aguilar, I., Lourenço, D.A.L. and Baldi, F., 2021. Accuracy of genomic breeding values and predictive ability for postweaning liveweight and age at first calving in a Nellore cattle population with missing sire information Tropical Animal Health and Production, 53, 432

    Article  PubMed  Google Scholar 

  • Tonussi RL, Silva RM, Magalhães AF, Espigolan R, Peripolli E, Olivieri BF, Feitosa FL, Lemos MV, Berton MP, Chiaia HL, Pereira AS. 2017. Application of single step genomic BLUP under different uncertain paternity scenarios using simulated data PLoS ONE, 12, 1–14

    Article  Google Scholar 

  • Tsuruta, S., Misztal, I., Lourenco, D.A.L. and Lawlor, T.J., 2014. Assigning unknown parent groups to reduce bias in genomic evaluations of final score in US Holsteins Journal of Dairy Science, 97, 5814–5821

    Article  CAS  PubMed  Google Scholar 

  • VanRaden, P.M., 2008. Efficient methods to compute genomic predictions Journal of Dairy Science, 91, 4414–4423

    Article  CAS  PubMed  Google Scholar 

  • Visscher, P.M., Medland, S.E., Ferreira, M.A.R., Morley, K.I., Zhu, G., Cornes, B.K., Montgomery, G.W. and Martin, N.G., 2006. Assumption-Free Estimation of Heritability from Genome-Wide Identity-by-Descent Sharing between Full Siblings PLoS Genetics, 2, e41

    Article  PubMed  PubMed Central  Google Scholar 

  • Zhang, S.-Y., Olasege, B.S., Liu, D.-Y., Wang, Q.-S., Pan, Y.-C. and Ma, P.-P., 2018. The genetic connectedness calculated from genomic information and its effect on the accuracy of genomic prediction PLOS ONE, 13, e0201400

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors thank the National Association of Breeders and Researchers (ANCP, Ribeirão Preto, Brazil) for the support and data provided for this project.

Funding

This work was supported by the São Paulo Research Foundation, FAPESP (grant number 2016/22751-6).

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All authors contributed to the conception and design of the study. The preparation of the material, the data collection, and the analysis were carried out by all the authors. Marisol Londoño Gil wrote the first draft of the manuscript, and the other authors made their contributions on later versions. All authors read and approved the final manuscript.

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Correspondence to Daniel Cardona-Cifuentes.

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Londoño-Gil, M., Cardona-Cifuentes, D., Espigolan, R. et al. Genomic evaluation of commercial herds with different pedigree structures using the single-step genomic BLUP in Nelore cattle. Trop Anim Health Prod 55, 95 (2023). https://doi.org/10.1007/s11250-023-03508-4

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