A bio-economic evaluation of Var, LnVar, and r-auto resilience indicators in Czech Holstein cattle
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027014%3A_____%2F25%3A10006440" target="_blank" >RIV/00027014:_____/25:10006440 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/ani15243593" target="_blank" >https://doi.org/10.3390/ani15243593</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ani15243593" target="_blank" >10.3390/ani15243593</a>
Alternative languages
Result language
angličtina
Original language name
A bio-economic evaluation of Var, LnVar, and r-auto resilience indicators in Czech Holstein cattle
Original language description
Farming animals that are resilient to various instabilities could improve both animal welfare and system sustainability. We evaluated three resilience indicators (Var, LnVar, and r-auto) in Holstein cattle on Czech farms using a bio-economic approach. We considered 3655 cows based on their genetic predisposition as 25% most resilient (Q3), median (Q2), and 25% least resilient (Q1), as well as their performance characteristics from routine production testing. Most of the performance characteristics significantly differed (p < 0.05) among the defined resilience quartiles. Q3 cows had slightly lower milk yield, higher milk component content, better udder health, and shorter dry periods compared to Q2 cows. The longevity of Q3 cows differed according to the indicator used (this was higher in Var and LnVar, but lower in r-auto). The highest profitability was found for the Q2 group in Var and r-auto and for Q1 in LnVar. Across all three resilience indicators, Q3 cows were the least profitable. Milk yield, lactation persistence, longevity, and milk fat and protein content contributed most to farm profit change across the resilience groups. The generality and simulation accuracy confirmed that the bio-economic model is suitable for the comprehensive setting and economic evaluation of resilience indicators and cattle performance.
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
40201 - Animal and dairy science; (Animal biotechnology to be 4.4)
Result continuities
Project
<a href="/en/project/QL24020269" target="_blank" >QL24020269: Health risk management in dairy herds under precision farming conditions and information potential of new data sources for use in genomic selection for resistance and adaptability in dairy cows</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Animals
ISSN
2076-2615
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
24
Country of publishing house
CH - SWITZERLAND
Number of pages
20
Pages from-to
"Article Number 3593"
UT code for WoS article
001648092800001
EID of the result in the Scopus database
2-s2.0-105026808747