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Statements

Subject Item
n2:RIV%2F60076658%3A12220%2F10%3A00012477%21RIV11-MSM-12220___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
The evaluation of an animal is based on production records, adjusted for enviromental effects, which gives a reliable estimation of its breeding value. Highly reliable daughter yield deviations are used as inputs for genetic marker evaluation. Genetic variability is explained by particular loci and background polygenes, both of which are described by the genomic breeding value selection index. Automated genotyping enables the determination of many single-nucleotide polymorphisms (SNPs) and can insrease the reliability of evaluation of young animals (from 0.30 if only pedigree value is used to 0.60 when the genomic breeding value is applied). However, the introduction of SNPs requires a mixed model with a large number of regressors, in tur requiring new algorithms for the best linear unbiased prediction and BayesB. Here, we discuss a method that uses a genomic relationship matrix to estimate the genomic breeding value of animals directly, without regressors. A one-step procedure evaluates both genotype The evaluation of an animal is based on production records, adjusted for enviromental effects, which gives a reliable estimation of its breeding value. Highly reliable daughter yield deviations are used as inputs for genetic marker evaluation. Genetic variability is explained by particular loci and background polygenes, both of which are described by the genomic breeding value selection index. Automated genotyping enables the determination of many single-nucleotide polymorphisms (SNPs) and can insrease the reliability of evaluation of young animals (from 0.30 if only pedigree value is used to 0.60 when the genomic breeding value is applied). However, the introduction of SNPs requires a mixed model with a large number of regressors, in tur requiring new algorithms for the best linear unbiased prediction and BayesB. Here, we discuss a method that uses a genomic relationship matrix to estimate the genomic breeding value of animals directly, without regressors. A one-step procedure evaluates both genotype
dcterms:title
Genetic evaluation of dairy cattle using a simple heritable genetic ground Genetic evaluation of dairy cattle using a simple heritable genetic ground
skos:prefLabel
Genetic evaluation of dairy cattle using a simple heritable genetic ground Genetic evaluation of dairy cattle using a simple heritable genetic ground
skos:notation
RIV/60076658:12220/10:00012477!RIV11-MSM-12220___
n4:aktivita
n18:Z
n4:aktivity
Z(MSM6007665806), Z(MZE0002701404)
n4:cisloPeriodika
90
n4:dodaniDat
n8:2011
n4:domaciTvurceVysledku
n14:7003293 n14:8004897
n4:druhVysledku
n15:J
n4:duvernostUdaju
n17:S
n4:entitaPredkladatele
n13:predkladatel
n4:idSjednocenehoVysledku
260402
n4:idVysledku
RIV/60076658:12220/10:00012477
n4:jazykVysledku
n5:eng
n4:klicovaSlova
genomic breeding value; methods; QTL; SNP; linear model; genomic relationship
n4:klicoveSlovo
n7:methods n7:genomic%20breeding%20value n7:QTL n7:linear%20model n7:genomic%20relationship n7:SNP
n4:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n4:kontrolniKodProRIV
[6ED42D31F498]
n4:nazevZdroje
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
n4:obor
n11:GI
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
4
n4:rokUplatneniVysledku
n8:2010
n4:svazekPeriodika
2010
n4:tvurceVysledku
Čítek, Jindřich Přibylová, Jana Řehout, Václav Přibyl, Josef
n4:zamer
n16:MZE0002701404 n16:MSM6007665806
s:issn
0022-5142
s:numberOfPages
9
n3:organizacniJednotka
12220