The use of genomic data and imputation methods in dairy cattle breeding
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/60460709:41210/20:84455
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The use of genomic data and imputation methods in dairy cattle breeding
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
The use of genomic data and imputation methods in dairy cattle breeding
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
40203 - Husbandry
Návaznosti výsledku
Projekt
<a href="/cs/project/QK1810253" target="_blank" >QK1810253: Navýšení spolehlivosti celostátního genomického hodnocení dojeného skotu zařazením krav s domácí užitkovostí do genotypované referenční populace</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Czech Journal of Animal Science
ISSN
1212-1819
e-ISSN
—
Svazek periodika
65
Číslo periodika v rámci svazku
12
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
9
Strana od-do
445-453
Kód UT WoS článku
000603475600002
EID výsledku v databázi Scopus
—