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Estimation of genetic parameters for litter traits in Czech pig populations using a multitrait animal model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027014%3A_____%2F99%3A00008755" target="_blank" >RIV/00027014:_____/99:00008755 - isvavai.cz</a>

  • Alternative codes found

    RIV/00027014:_____/99:00008377

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimation of genetic parameters for litter traits in Czech pig populations using a multitrait animal model

  • Original language description

    Univariate and multivariate analyses were performed for litter size born, born alive and at 21 days for the breeds Large White, Landrace and Přeštické Black Spotted. Heritability estimates were about 0.10 for all analyses, traits and breeds. High genetic

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    EB - Genetics and molecular biology

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/EP7123" target="_blank" >EP7123: Application of new mathematical methods and economic principles in pig breeding in the Czech Republic</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    1999

  • 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

  • Volume of the periodical

    44

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    7

  • Pages from-to

    193-199

  • UT code for WoS article

  • EID of the result in the Scopus database