IDEAS home Printed from https://ideas.repec.org/a/caa/jnlcjs/v67y2022i12id149-2022-cjas.html
   My bibliography  Save this article

General resilience in dairy cows: A review

Author

Listed:
  • Eva Kašná
  • Ludmila Zavadilová

    (Institute of Animal Science, Prague - Uhříněves, Czech Republic)

  • Jan Vařeka

    (Institute of Animal Science, Prague - Uhříněves, Czech Republic)

  • Jitka Kyselová

    (Institute of Animal Science, Prague - Uhříněves, Czech Republic)

Abstract

Dairy farming is deeply affected by climate change, especially by rising temperatures and heat waves, poorer availability of quality food and water, and the spread of new diseases and pests outside their original ecological niche. Their impact can be mitigated not only by changes in technologies, management and treatment, but also by breeding and selection of more resilient cows. General resilience encompasses the animal's capacity to cope with environmental, social and disease challenges. It is described as the capacity of the animal to be minimally affected by a disturbance or to rapidly return to the physiological, behavioural, cognitive, health, affective and production states that pertained before exposure to a disturbance. As disturbances can be of different natures, general resilience is a composite trait consisting of different resilience types according to the nature of the disturbance. Resilience can be quantified through time series data that capture fluctuations in the daily performance. Recent studies have worked with deviations in the daily milk yield and daily live weight from optimal performance or have focused on the assessment of the daily activity in terms of the daily step count. To observe the duration and magnitude of the response to perturbance, two indicators were suggested: the autocorrelation (rauto) and the natural logarithm of deviations (LnVar). Based on the daily milk yield deviations, both indicators have shown sufficient genetic variabilities with the estimated heritability ~0.1 for rauto and ~0.2 for LnVar. Low values of both indicators were genetically related to better udder health, better hoof health, better longevity, better fertility, higher body condition score, less ketosis but also lower milk yield level. The selection for improved resilience could benefit from the use of genomic information as several genes and biological pathways associated with disease resilience and resilience to heat stress have already been identified. The presented results suggest that the integration of resilience into the cattle breeding programmes would improve the capacity of the dairy industry to cope with global climate change.

Suggested Citation

  • Eva Kašná & Ludmila Zavadilová & Jan Vařeka & Jitka Kyselová, 2022. "General resilience in dairy cows: A review," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 67(12), pages 475-482.
  • Handle: RePEc:caa:jnlcjs:v:67:y:2022:i:12:id:149-2022-cjas
    DOI: 10.17221/149/2022-CJAS
    as

    Download full text from publisher

    File URL: http://cjas.agriculturejournals.cz/doi/10.17221/149/2022-CJAS.html
    Download Restriction: free of charge

    File URL: http://cjas.agriculturejournals.cz/doi/10.17221/149/2022-CJAS.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/149/2022-CJAS?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnlcjs:v:67:y:2022:i:12:id:149-2022-cjas. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.