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Estimation of genetic parameters of Holstein calf survival

  • TROP-D-23-00310R2
  • Published:
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Abstract

Calf survival is not only an animal welfare issue but also helps to avoid huge losses in economic and genetic material due to calf mortality. Therefore, improving calf survival is essential in dairy breeding. The objective of this study was to explore the factors affecting the survival of Holstein calves in the Ningxia Region and to estimate the genetic parameters of calves using linear models and threshold models. Descriptive statistics were made for 43,847 Holstein calves born from 2018 to 2022 in Ningxia. The number of calves that died at 2–30 d was the highest, the survival rate was the lowest at 451–750 d, followed by 61–180 d and 2–30 d. Studies on the survival rates of calves born in different months have found that calves born in April have the lowest survival rates and calves born in October and December have higher survival rates. Calves born in autumn, third parity, and singleton calves are more likely to survive. The heritability of calf survival traits ranged from 0.002 ~ 0.136. Thus survival is a low heritability trait. Genetic correlation between different survival stages ranged from 0.3991 (2–30 d to 451–750 d) to 0.9985 (361–450 d to 451–750 d), the phenotypic correlation ranged from 0.1476 (2–30 d to 451–750 d) to 0.9582 (361–450 d to 451–750 d). The low genetic correlation between early and late survival suggests that survival in early and late stages may be influenced by different genetic factors. This study is helpful to understand the survival status of Holstein calves and provide a theoretical basis for improving the survival rate of calves.

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Data availability

The datasets analyzed in this study are not publicly available because they are private, but can be obtained from the corresponding authors upon reasonable request.

References

  • Compton, C., Heuer, C., Thomsen, P.T., Carpenter, T.E., Phyn, C., McDougall, S., 2017. Invited review: A systematic literature review and meta-analysis of mortality and culling in dairy cattle. Journal of Dairy Science, 100,1-16.

    Article  CAS  PubMed  Google Scholar 

  • Forutan, M., Ansari, M.S., Sargolzaei, M., 2015. Genetic evaluation of calf and heifer survival in Iranian Holstein cattle using linear and threshold models. Journal of Animal Breeding and Genetics, 132,51-58.

    Article  CAS  PubMed  Google Scholar 

  • Fruscalso, V., Olmos, G., Hötzel, M.J., 2020. Dairy calves' mortality survey and associated management practices in smallholding, pasture-based herds in southern Brazil. Preventive Veterinary Medicine, 175,104835.

    Article  CAS  PubMed  Google Scholar 

  • Fuerst-Waltl, B., Sørensen, M.K., 2010. Genetic analysis of calf and heifer losses in Danish Holstein. Journal of Dairy Science, 93:5436-5442.

    Article  CAS  PubMed  Google Scholar 

  • Gitau, G.K., Aleri, J.W., Mbuthia, P.G., Mulei, C.M., 2010. Causes of calf mortality in peri-urban area of Nairobi, Kenya. Tropical Animal Health and Production, 42,1643-1647.

    Article  PubMed  Google Scholar 

  • Gonzalez-Peña, D., Vukasinovic, N., Brooker, J.J., Przybyla, C.A., DeNise, S.K., 2019. Genomic evaluation for calf wellness traits in Holstein cattle. Journal of Dairy Science, 102,2319-2329.

    Article  PubMed  Google Scholar 

  • Gonzalez-Peña,D., Vukasinovic,N., Brooker,J,J., Przybyla,C,A., Baktula,A., DeNise,S,K., 2020. Genomic evaluation for wellness traits in US Jersey cattle. Journal of Dairy Science,103(2):1735-1748.

    Article  PubMed  Google Scholar 

  • Gulliksen, S.M., Lie, K.I., Løken, T., Osterås, O., 2009. Calf mortality in Norwegian dairy herds. Journal of Dairy Science, 92,2782-2795.

    Article  CAS  PubMed  Google Scholar 

  • Hansen, M., Madsen, P., Jensen, J., Pedersen, J., Christensen, L.G., 2003. Genetic parameters of postnatal mortality in Danish Holstein calves. Journal of Dairy Science, 86,1807-1817.

    Article  CAS  PubMed  Google Scholar 

  • Henderson, L., Miglior, F., Sewalem, A., Kelton, D., Robinson, A., Leslie, K.E., 2011. Estimation of genetic parameters for measures of calf survival in a population of Holstein heifer calves from a heifer-raising facility in New York State. Journal of Dairy Science, 94,461-470.

    Article  CAS  PubMed  Google Scholar 

  • Hyde, R.M., Green, M.J., Sherwin, V.E., Hudson, C., Gibbons, J., Forshaw, T., Vickers, M., Down, P.M ., 2020. Quantitative analysis of calf mortality in Great Britain. Journal of Dairy Science, 103,2615-2623.

    Article  CAS  PubMed  Google Scholar 

  • Johnsen,J.F., Holm,Y.I., Mejdell,C.M., Ellingsen-Dalskau,K., Østerås,O., D,Sen.A., Skjerve,E., N,Dtvedt.A., 2021. A cross-sectional study of associations between herd-level calf mortality rates, compliance with legislation on calf welfare, and milk feeding management in Norwegian dairy herds. Journal of Dairy Science, 104,839-848.

  • Jørn Pedersen JPJE , 2014. NAV evaluation for calf survival.

  • Lombard,J,E., Garry,F,B., Tomlinson,S,M., Garber,L,P., 2007. Impacts of dystocia on health and survival of dairy calves. Journal of dairy science, 90(4):1751-1760.

  • Maltecca,C., Khatib,H., Schutzkus,V.R., Hoffman,P.C., Weigel,K.A ., 2006. Changes in conception rate, calving performance, and calf health and survival from the use of crossbred Jersey x Holstein sires as mates for Holstein dams. Journal of Dairy Science, 89,2747-2754.

    Article  CAS  PubMed  Google Scholar 

  • McCorquodale,C.E., Sewalem,A., Miglior,F., Kelton,D., Robinson,A., Koeck,A., Leslie,K.E ., 2013. Short communication: analysis of health and survival in a population of Ontario Holstein heifer calves. Journal of Dairy Science, 96,1880-1885.

    Article  CAS  PubMed  Google Scholar 

  • Misaka,M., Uematsu,M., Hashimoto,K., Kitahara,G., Osawa,T, Sasaki,Y., 2022. Impact of dystocia and cow/calf characteristics on mortality from 0 to 120 days of age in Japanese Black calves in commercial cow-calf operations. Preventive Veterinary Medicine, 207,105716.

    Article  PubMed  Google Scholar 

  • Neupane,M., Hutchison,J.L., VanTassell,C.P., VanRaden,P.M ., 2021. Genomic evaluation of dairy heifer livability. Journal of Dairy Science, 104,8959-8965.

    Article  CAS  PubMed  Google Scholar 

  • Pritchard,T., Coffey,M., Mrode,R., Wall,E., 2013. Understanding the genetics of survival in dairy cows. Journal of Dairy Science, 96,3296-3309.

    Article  CAS  PubMed  Google Scholar 

  • Reimus,K., Alvåsen,K., Emanuelson,U., Viltrop,A., Mõtus,K ., 2020. Herd-level risk factors for cow and calf on-farm mortality in Estonian dairy herds. Acta Veterinaria Scandinavica, 62,15.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Santman-Berends,I.M., Buddiger,M., Smolenaars,A.J., Steuten,C.D., Roos,C.A., Van, A.J., Van Schaik G ., 2014. A multidisciplinary approach to determine factors associated with calf rearing practices and calf mortality in dairy herds. Preventive Veterinary Medicine, 117,375-387.

    Article  CAS  PubMed  Google Scholar 

  • Santman-Berends,I., Brouwer,H., Ten,W.A., Bont-Smolenaars,A., Haarman-Zantinge,S., Van,S.G ., 2018. Development of an objective and uniform scoring method to evaluate the quality of rearing in Dutch dairy herds. Journal of Dairy Science, 101,8383-8395.

    Article  CAS  PubMed  Google Scholar 

  • Santman-Berends,I., Schukken,YH., Van,S.G., 2019. Quantifying calf mortality on dairy farms: Challenges and solutions. Journal of Dairy Science, 102,6404-6417.

    Article  CAS  PubMed  Google Scholar 

  • SAS Institute. 2008. SAS Version 9.2. SAS Institute Inc., Cary, NC.

    Google Scholar 

  • Su,G., Sorensen,D., Lund,M.S., 2008. Variance and covariance components for liability of piglet survival during different periods. Animal, 2,184-189.

  • Tora,E., Abayneh,E., Seyoum,W., Shurbe,M ., 2021. Longitudinal study of calf morbidity and mortality on smallholder farms in southern Ethiopia. Plos One, 16,e257139.

    Article  Google Scholar 

  • Uetake,K., 2013. Newborn calf welfare: a review focusing on mortality rates. Animal Science Journal,84,101-105.

    Article  PubMed  Google Scholar 

  • Viidu,D.A., Ferguson,E., Kaart,T., Mõtus K., 2022. Calf care workers' attitudes and personality and their association with calf mortality in large-scale dairy farms. Frontiers in Veterinary Science, 9,959548.

    Article  PubMed  PubMed Central  Google Scholar 

  • Vinet,A, Leclerc,H, Marquis,F, Phocas,F , 2018. Genetic analysis of calf health in Charolais beef cattle. Journal of Animal Science, 96,1246-1258.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Wathes,D.C., Brickell,J.S., Bourne,N.E., Swali,A., Cheng,Z., 2008. Factors influencing heifer survival and fertility on commercial dairy farms. Animal, 2,1135-1143.

    Article  CAS  PubMed  Google Scholar 

  • Weller,J.I., Gershoni,M., Ezra,E ., 2021. Genetic and environmental analysis of female calf survival in the Israel Holstein cattle population. Journal of Dairy Science, 104,3278-3291.

    Article  CAS  PubMed  Google Scholar 

  • Zhang,H., Wang,K., An,T., Zhu,L., Chang,Y., Lou,W., Liu,L., Guo,G., Liu,A., Su,G., Brito,L.F., Wang,Y., 2022. Genetic parameters for dairy calf and replacement heifer wellness traits and their association with cow longevity and health indicators in Holstein cattle. Journal of Dairy Science, 105,6749-6759.

    Article  CAS  PubMed  Google Scholar 

  • Zhang,H., Wang,Y., Chang,Y., Luo,H., Brito,L.F., Dong,Y., Shi.R., Wang.Y., Dong.G., Liu.L., 2019. Mortality-Culling Rates of Dairy Calves and Replacement Heifers and Its Risk Factors in Holstein Cattle Animals , Basel. 9.

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Acknowledgements

We are grateful to Ningxia Agricultural Reclamation Helan Mountain Dairy Industry Corporation for facilitating the data collection and providing access to production records, and to the members of the Ningxia advantage and characteristic cattle industry science and technology innovation team. The authors declare that the research was conducted in the absence of any commercial or financial relationship that could be construed as a potential conflict of interest.

Funding

This research was funded by Ningxia Hui Autonomous Region Key R&D Projects (2021BEF01001,2021NXZD1, 2022BBF02017,) and a grant from the China Agriculture Research System (CARS- 36).

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Du Bingqin, Hu Honghong and Ma Yun contributed to the study conception and design. Material preparation, data collection and analysis were performed by Du Bingqin, Hu Honghong. The first draft of the manuscript was written by Du Bingqin and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Yun Ma.

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Du, B., Hu, H., Zhang, J. et al. Estimation of genetic parameters of Holstein calf survival. Trop Anim Health Prod 56, 44 (2024). https://doi.org/10.1007/s11250-023-03874-z

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