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A decision support system based on disease scoring enables dairy farmers to proactively improve herd health

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A98054" target="_blank" >RIV/60460709:41110/24:98054 - isvavai.cz</a>

  • Alternative codes found

    RIV/60460709:41210/24:98054

  • Result on the web

    <a href="https://cjas.agriculturejournals.cz/artkey/cjs-202405-0004_a-decision-support-system-based-on-disease-scoring-enables-dairy-farmers-to-proactively-improve-herd-health.php" target="_blank" >https://cjas.agriculturejournals.cz/artkey/cjs-202405-0004_a-decision-support-system-based-on-disease-scoring-enables-dairy-farmers-to-proactively-improve-herd-health.php</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17221/53/2024-CJAS" target="_blank" >10.17221/53/2024-CJAS</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A decision support system based on disease scoring enables dairy farmers to proactively improve herd health

  • Original language description

    Decision support systems (DSSs) enable dairy farmers to make informed and timely decisions on herd health management. However, the lack of a disease scoring system by category and severity limits the application of this approach. In this study, we developed an innovative approach to dairy herd health management by establishing a novel scoring system for dairy herd health management aimed at providing a more nuanced understanding of disease impact. For this purpose, we retrieved 5-year data from 2 558 disease diary records of 798 primiparous and multiparous cows housed on a Czech farm and classified 125 production diseases into six categories, namely lameness, mastitis, postpartum diseases, digestive system, reproductive diseases and other diseases. Based on this metric, we developed a data-driven DSS for farm management. Using this DSS, we identified markers of disease categories for efficient veterinary monitoring on dairy farms. This DSS highlighted a decreasing trend of average monthly disease scores, yet the prevalence of postpartum and other diseases increased during the same period, due to changes in reproduction management within the herd. These findings underscore the need for data-driven targeted interventions for promoting the herd health. Therefore, our scoring model not only provides a comprehensive framework for dairy herd health monitoring and improvement but also advances dairy farming by providing a decision support system easily applicable to dairy farms based on available data recorded in disease diaries.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40101 - Agriculture

Result continuities

  • Project

    <a href="/en/project/QK22010270" target="_blank" >QK22010270: Management optimalization of individual reproduction performance in dairy cattle</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Czech Journal of Animal Science

  • ISSN

    1212-1819

  • e-ISSN

    1805-9309

  • Volume of the periodical

    69

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    18

  • Pages from-to

    165-177

  • UT code for WoS article

    001239659400001

  • EID of the result in the Scopus database

    2-s2.0-85195859973