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The use of genomic data and imputation methods in dairy cattle breeding

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027014%3A_____%2F20%3AN0000202" target="_blank" >RIV/00027014:_____/20:N0000202 - isvavai.cz</a>

  • Alternative codes found

    RIV/60460709:41210/20:84455

  • Result on the web

    <a href="https://www.agriculturejournals.cz/publicFiles/83_2020-CJAS.pdf" target="_blank" >https://www.agriculturejournals.cz/publicFiles/83_2020-CJAS.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17221/83/2020-CJAS" target="_blank" >10.17221/83/2020-CJAS</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The use of genomic data and imputation methods in dairy cattle breeding

  • Original language description

    The inclusion of animal genotype data has contributed to the development of genomic selection. Animals are selected not only based on pedigree and phenotypic data but also on the basis of information about their genotypes. Genomic information helps to increase the accuracy of selection of young animals and thus enables a reduction of the generation interval. Obtaining information about genotypes in the form of SNPs (single nucleotide polymorphisms) has led to the development of new chips for genotyping. Several methods of genomic comparison have been developed as a result. One of the methods is data imputation, which allows the missing SNPs to be calculated using low-density chips to high-density chips. Through imputations, it is possible to combine information from diverse sets of chips and thus obtain more information about genotypes at a lower cost. Increasing the amount of data helps increase the reliability of predicting genomic breeding values. Imputation methods are increasingly used in genome-wide association studies. When classical genotyping and genome-wide sequencing data are combined, this option helps to increase the chances of identifying loci that are associated with economically significant traits.

  • 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

    40203 - Husbandry

Result continuities

  • Project

    <a href="/en/project/QK1810253" target="_blank" >QK1810253: Improvement of national-wide genomic evaluation of dairy cattle by including cows with domestic production records into genotyped reference population</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

    Czech Journal of Animal Science

  • ISSN

    1212-1819

  • e-ISSN

  • Volume of the periodical

    65

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    9

  • Pages from-to

    445-453

  • UT code for WoS article

    000603475600002

  • EID of the result in the Scopus database