jump to content

Fachbereich Veterinärmedizin


Service-Navigation

    Publication Database

    Thermodynamic assessment of heat stress in dairy cattle:
    lessons from human biometeorology (2022)

    Art
    Zeitschriftenartikel / wissenschaftlicher Beitrag
    Autoren
    Foroushani, Sepehr
    Amon, Thomas (WE 10)
    Quelle
    International Journal of Biometeorology
    Bandzählung: 66
    Heftzählung: 9
    Seiten: 1811 – 1827
    ISSN: 0020-7128
    Sprache
    Englisch
    Verweise
    URL (Volltext): https://link.springer.com/10.1007/s00484-022-02321-2
    DOI: 10.1007/s00484-022-02321-2
    Pubmed: 35821443
    Kontakt
    Institut für Tier- und Umwelthygiene

    Robert-von-Ostertag-Str. 7-13
    14169 Berlin
    +49 30 838 51845
    tierhygiene@vetmed.fu-berlin.de

    Abstract / Zusammenfassung

    A versatile meteorological index for predicting heat stress in dairy cattle remains elusive. Despite numerous attempts at developing such indices and widespread use of some, there is growing skepticism about the accuracy and adequacy of the existing indices as well as the general statistical approach used to develop them. At the same time, precision farming of high-yielding animals in a drastically changing climate calls for more effective prediction and alleviation of heat stress. The present paper revisits classical work on human biometeorology, particularly the apparent temperature scale, to draw inspiration for advancing research on heat stress in dairy cattle. The importance of a detailed, mechanistic understanding of heat transfer and thermoregulation is demonstrated and reiterated. A model from the literature is used to construct a framework for identifying and characterizing conditions of potential heat stress. New parameters are proposed to translate the heat flux calculations based on heat-balance models into more tangible and more useful meteorological indices, including an apparent temperature for cattle and a thermoregulatory exhaustion index. A validation gap in the literature is identified as the main hindrance to the further development and deployment of heat-balance models. Recommendations are presented for systematically addressing this gap in particular and continuing research within the proposed framework in general.