Skip to main content

Advertisement

Log in

Impact of heat stress on genetic evaluation of oocyte and embryo production in Gir dairy cattle

  • Regular Articles
  • Published:
Tropical Animal Health and Production Aims and scope Submit manuscript

Abstract

Identifying and selecting genotypes tolerant to heat stress might improve reproductive traits in dairy cattle, including oocyte and embryo production. The temperature-humidity index (THI) was used, via random regression models, to investigate the impact of heat stress on genetic parameters and breeding values of oocyte and embryo production in Gir dairy cattle. We evaluated records of total oocytes (TO), viable oocytes (VO), cleaved embryos (CE), and viable embryos (VE) from dairy Gir donors. Twenty-four models were tested, considering age at ovum pick-up (AOPU) and THI means as a regressor in the genetic evaluation. We computed THI in eight periods, from 0 to 112 days before ovum pick-up, which were adjusted by different orders of Legendre polynomials (second, third, and fourth). The best-fit model according to Akaike’s information criterion (AIC) and Model Posterior Probabilities (MPP) considered Legendre polynomials of third order and THI means of 112 days for TO, fourth order and 56 days for VO, second order and 28 days for CE, and second order and 42 days for VE, respectively. The heritability (h2) estimates across AOPU and THI scales ranged from 0.34 to 0.62 for TO, 0.31 to 0.58 for VO, 0.26 to 0.39 for CE, and 0.15 to 0.26 for VE, respectively. The fraction of the phenotypic variance explained by the permanent environment in different AOPU and THI scales ranged from 0.03 to 0.25 for TO, 0.05 to 0.26 for VO, 0.09 to 0.36 for CE, and 0.15 to 0.27 for VE, respectively. Spearman’s rank correlation between the estimated breeding values in different AOPU and THI scale from the top 5% sires and females ranged from 0.18 to 0.90 for TO, 0.31 to 0.95 for VO, 0.14 to 0.85 for CE, and 0.47 to 0.94 for VE, respectively. The h2 estimates for all evaluated traits varied from moderate to high magnitude across AOPU and THI scales, indicating that genetic selection can result in rapid genetic progress for the evaluated traits. There was a reranking among the best animals in different AOPU and THI. It is possible to select dairy Gir cattle tolerant to heat stress to improve oocyte and embryo production.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Data availability

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

References

  • Al-Katanani, Y.M., Paula-Lopes, F.F. and Hansen, P.J., 2002. Effect of season and exposure to heat stress on oocyte competence in Holstein cows Journal of Dairy Science, 85, 390–396

    Article  CAS  PubMed  Google Scholar 

  • Bernabucci, U., Lacetera, N., Baumgard, L.H., Rhoads, R.P., Ronchi, B. and Nardone, A., 2010. Metabolic and hormonal acclimation to heat stress in domesticated ruminants Animal, 4, 1167–1183 (Elsevier)

    Article  CAS  PubMed  Google Scholar 

  • Bernabucci, U., Biffani, S., Buggiotti, L., Vitali, A., Lacetera, N. and Nardone, A., 2014. The effects of heat stress in Italian Holstein dairy cattle Journal of Dairy Science, 97, 471–486 (Elsevier)

    Article  CAS  PubMed  Google Scholar 

  • Bohmanova, J., Misztal, I. and Cole, J.B., 2007. Temperature-humidity indices as indicators of milk production losses due to heat stress Journal of Dairy Science, 90, 1947–1956 (Elsevier)

    Article  CAS  PubMed  Google Scholar 

  • Brügemann, K., Gernand, E., von Borstel, U.U. and König, S., 2011. Genetic analyses of protein yield in dairy cows applying random regression models with time-dependent and temperature x humidity-dependent covariates Journal of Dairy Science, 94, 4129–4139 (Elsevier)

    Article  PubMed  Google Scholar 

  • Cole, J.B. and VanRaden, P.M., 2018. Symposium review: Possibilities in an age of genomics: The future of selection indices1 Journal of Dairy Science, 101, 3686–3701 (American Dairy Science Association)

    Article  CAS  PubMed  Google Scholar 

  • Cornelissen, M.A.M.C., Mullaart, E., Van der Linde, C. and Mulder, H.A., 2017. Estimating variance components and breeding values for number of oocytes and number of embryos in dairy cattle using a single-step genomic evaluation Journal of Dairy Science, 100, 4698–4705 (American Dairy Science Association)

    Article  CAS  PubMed  Google Scholar 

  • De Vries, A. and Kaniyamattam, K., 2020. A review of simulation analyses of economics and genetics for the use of in-vitro produced embryos and artificial insemination in dairy herds Animal Reproduction, 17, 1–12

    Article  Google Scholar 

  • Fernandes, C.A. de C., Miyauchi, T.M., de Figueiredo, A.C.S., Palhão, M.P., Varago, F.C., Nogueira, E.S.C., Neves, J.P. and Miyauchi, T.A., 2014. Hormonal protocols for in vitro production of Zebu and taurine embryos Pesquisa Agropecuaria Brasileira, 49, 813–817

    Article  Google Scholar 

  • Gendelman, M. and Roth, Z., 2012. Seasonal effect on germinal vesicle-stage bovine oocytes is further expressed by alterations in transcript levels in the developing embryos associated with reduced developmental competence Biology of Reproduction, 86, 1–9

    Article  PubMed  Google Scholar 

  • Habeeb, A.A., Atta, M.A., Sharaf, A.K. and Elhanafy, A.I.A., 2022. Impact of climatic variability of the temperature-humidity index during winter , spring and summer seasons in Egypt on the growth of the native bovine calves Research Square, 1–17

  • Jaton, C., Koeck, A., Sargolzaei, M., Malchiodi, F., Price, C.A.A., Schenkel, F.S.S. and Miglior, F., 2016. Genetic analysis of superovulatory response of Holstein cows in Canada Journal of Dairy Science, 99, 3612–3623 (Elsevier)

    Article  CAS  PubMed  Google Scholar 

  • Khan, A., Khan, M.Z., Umer, S., Khan, I.M., Xu, H., Zhu, H. and Wang, Y., 2020. Cellular and Molecular Adaptation of Bovine Animals, 10, 1–14

    Article  Google Scholar 

  • Lees, A.M., Sejian, V., Wallage, A.L., Steel, C.C., Mader, T.L., Lees, J.C. and Gaughan, J.B., 2019. The impact of heat load on cattle Animals, 9

  • Li, J., Gao, H., Madsen, P., Li, R., Liu, W., Bao, P., Xue, G., Gao, Y., Di, X. and Su, G., 2020. Impact of the Order of Legendre Polynomials in Random Regression Model on Genetic Evaluation for Milk Yield in Dairy Cattle Population Frontiers in Genetics, 11, 1–8

    Article  Google Scholar 

  • Lonergan, P. and Fair, T., 2016. Maturation of oocytes in vitro Annual Review of Animal Biosciences, 4, 255–268

    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: 7th World Congress on Genetics Applied to Livestock Production, 2001–2002

  • Negri, R. and Cobuci, J.A., 2021. Heat stress level as an alternative to fixed regression modeling for fat and protein yield traits in Holstein cattle Livestock Science, 251, 104615 (Elsevier B.V.)

    Article  Google Scholar 

  • Negri, R., Aguilar, I., Feltes, G.L. and Cobuci, J.A., 2021a. Selection for Test-Day Milk Yield and Thermotolerance in Brazilian Holstein Cattle Animals, 11, 1–13

    Article  Google Scholar 

  • Negri, R., Daltro, D. dos S. and Cobuci, J.A., 2021b. Heat stress effects on somatic cell score of Holstein cattle in tropical environment Livestock Science, 247, 104480 (Elsevier B.V.)

    Article  Google Scholar 

  • NRC, N.R.C., 1971. A Guide to environmental research on Animals National Academy of Science (Washington)

  • Paula-Lopes, F.F., Lima, R.S., Satrapa, R.A. and Barros, C.M., 2013. Physiology and endocrinology symposium: Influence of cattle genotype (Bos indicus vs. Bos taurus) on oocyte and preimplantation embryo resistance to increased temperature Journal of Animal Science, 91, 1143–1153

    Article  CAS  PubMed  Google Scholar 

  • Peixoto, M.G.C.D., Pereira, C.S., Bergmann, J.A.G., Penna, V.M. and Fonseca, C.G., 2004. Genetic parameters of multiple ovulation traits in Nellore females Theriogenology, 62, 1459–1464

    Article  CAS  PubMed  Google Scholar 

  • Perez, B.C., Peixoto, M.G.C.D., Bruneli, F.T., Ramos, P.V.B. and Balieiro, J.C.C., 2016. Genetic analysis of oocyte and embryo production traits in Guzerá breed donors and their associations with age at first calving Genetics and Molecular Research, 15, 1–9

    Article  CAS  Google Scholar 

  • Perez, B.C., Silva, F.F., Ventura, R. V., Bruneli, F.A.T., Balieiro, J.C.C. and Peixoto, M.G.D.C., 2017. Count Bayesian models for genetic analysis of in vitro embryo production traits in Guzerá cattle Animal, 11, 1440–1448

    Article  CAS  PubMed  Google Scholar 

  • Pryce, J.E., Royal, M.D., Garnsworthy, P.C. and Mao, I.L., 2004. Fertility in the high-producing dairy cow Livestock Production Science, 86, 125–135

    Article  Google Scholar 

  • R Core Team, 2017. A language and environment for statistical computing (R Foundation for Statistical Computing: Vienna)

  • Ravagnolo, O., Misztal, I. and Hoogenboom, G., 2000. Genetic component of heat stress in dairy cattle, development of heat index function Journal of Dairy Science, 83, 2120–2125 (Elsevier)

    Article  CAS  PubMed  Google Scholar 

  • Roth, Z., 2017. Effect of Heat Stress on Reproduction in Dairy Cows: Insights into the Cellular and Molecular Responses of the Oocyte Annual Review of Animal Biosciences, 5, 151–170

    Article  CAS  PubMed  Google Scholar 

  • Santana, M.L., Pereira, R.J., Bignardi, A.B., Filho, A.E.V., Menéndez-Buxadera, A. and El Faro, L., 2015. Detrimental effect of selection for milk yield on genetic tolerance to heat stress in purebred Zebu cattle: Genetic parameters and trends Journal of Dairy Science, 98, 9035–9043

    Article  CAS  PubMed  Google Scholar 

  • Schüller, L.K., Burfeind, O. and Heuwieser, W., 2014. Impact of heat stress on conception rate of dairy cows in the moderate climate considering different temperature-humidity index thresholds, periods relative to breeding, and heat load indices Theriogenology, 81, 1050–1057 (Elsevier Inc)

    Article  PubMed  Google Scholar 

  • Stamperna, K., Giannoulis, T., Nanas, I., Kalemkeridou, M., Dadouli, K., Moutou, K., Amiridis, G.S. and Dovolou, E., 2020. Short term temperature elevation during IVM affects embryo yield and alters gene expression pattern in oocytes, cumulus cells and blastocysts in cattle Theriogenology, 156, 36–45 (Elsevier Ltd)

    Article  CAS  PubMed  Google Scholar 

  • Torres-Júnior, J.R. d. S., Pires, M. de F.A., de Sá, W.F., Ferreira, A. de M., Viana, J.H.M., Camargo, L.S.A., Ramos, A.A., Folhadella, I.M., Polisseni, J., de Freitas, C., Clemente, C.A.A., de Sá Filho, M.F., Paula-Lopes, F.F. and Baruselli, P.S., 2008. Effect of maternal heat-stress on follicular growth and oocyte competence in Bos indicus cattle Theriogenology, 69, 155–166

    Article  Google Scholar 

  • Vizoná, R.G., da Costa Perez, B., Campolina Diniz Peixoto, M.G., Moreira Viana, J.H., Ventura, R.V., Vercesi Filho, A.E. and de Carvalho Balieiro, J.C., 2020. Genetic analysis of in-vitro embryo production traits in Dairy Gir cattle Theriogenology, 148, 149–161

    Article  PubMed  Google Scholar 

  • Wilberg, M.J. and Bence, J.R., 2008. Performance of deviance information criterion model selection in statistical catch-at-age analysis Fisheries Research, 93, 212–221

    Article  Google Scholar 

Download references

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES; Finance Code 001) – Brasil, for funding this study.

Author information

Authors and Affiliations

Authors

Contributions

GLF, RN, FSSR and JAC conceived and designed research. GLF, RN, AFPV and JAC conducted analyzed data. GLF, RN, FSSR, LFRF, VMPR, and JAC wrote the manuscript. All authors read and approved the manuscript.

Corresponding author

Correspondence to Jaime Araújo Cobuci.

Ethics declarations

Ethics approval

This is an observational study. The Federal University of Rio Grande do Sul- UFRGS Research Ethics Committee has confirmed that no ethical approval is required.

Consent to participate

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

Conflicts of interest

The authors declare no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Feltes, G.L., Negri, R., Raidan, F.S.S. et al. Impact of heat stress on genetic evaluation of oocyte and embryo production in Gir dairy cattle. Trop Anim Health Prod 56, 7 (2024). https://doi.org/10.1007/s11250-023-03850-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11250-023-03850-7

Keywords

Navigation