Breeding values prediction for clinical mastitis 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_____%2F20%3AN0000174" target="_blank" >RIV/00027014:_____/20:N0000174 - isvavai.cz</a>
Result on the web
<a href="http://acta.fapz.uniag.sk/journal/index.php/on_line/article/view/718/pdf" target="_blank" >http://acta.fapz.uniag.sk/journal/index.php/on_line/article/view/718/pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15414/afz.2020.23.mi-fpap.233-240" target="_blank" >10.15414/afz.2020.23.mi-fpap.233-240</a>
Alternative languages
Result language
angličtina
Original language name
Breeding values prediction for clinical mastitis in Czech Holstein cattle
Original language description
This study aims to genetically evaluate clinical mastitis (CM) in Holstein cattle using a two-trait repeatability animal model with the average lactation somatic cell score (LSCS) as an indicator trait of mastitis. The data set included 21,786 Holsteins with 29,110 lactations in 59 herds and with a calving date between 2015 and 2019. CM was considered as an all-or-none trait (values 0 or 1) in the period from calving to 305 days in milk, and the LSCS was obtained by logarithmic transformation of the average of the individual test-day records for somatic cell count over lactation. Heritability of CM was estimated using a single-trait repeatability animal model, whereas the genetic correlation between CM and LSCS was assessed through a two-trait repeatability animal model. Fixed effects included in the analyses were parity-age and herd-year-season, and the random effects were the permanent environment and the animal. The (co)variance matrix was employed in breeding values estimation for both single-trait (only CM) and bivariate models (CM and LSCS) including genomic prediction. Only genotyped sires formed the reference population for the single-step genomic evaluation. The heritability for CM was 0.04 in the single-trait and 0.05 in the two-trait analysis. Genetic correlation between CM and LSCS was 0.80. The employment of the two-trait model had a considerably strong influence on reliability. The reliability increased for cows with records as well as for the genotyped sires. This study indicates that the two-trait analysis of CM and LSCS is feasible and improves the reliability of the estimated breeding values.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
40203 - Husbandry
Result continuities
Project
<a href="/en/project/QK1910320" target="_blank" >QK1910320: Research of dairy cattle breeding methods with the goal to improve disease resistance using genomic approach, systemic health data collecting and targeted genotyping</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
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Fytotechnica et Zootechnica
ISSN
1336-9245
e-ISSN
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Volume of the periodical
23
Issue of the periodical within the volume
n
Country of publishing house
SK - SLOVAKIA
Number of pages
8
Pages from-to
233-240
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85097599253