All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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 &lt; 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

  • 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

    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

  • 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