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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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