Estimating Genetic Parameters using a Random Regression Model

A tétel rövid nézete
dc.contributor.authorMárkus, Szilárd
dc.contributor.authorNěmcová, Eva
dc.contributor.authorFazekas, István
dc.contributor.authorKomlósi, István
dc.date.accessioned2021-06-28T10:58:25Z
dc.date.available2021-06-28T10:58:25Z
dc.date.issued2008-11-24
dc.description.abstractOne of the most important part of the genetic evaluation using a random regression model is the estimation of variance components. This is the topic of many papers because the large computational costs. We can use restricted maximum likelihood (REML), Gibbs sampling and ℜ method for the estimation of genetic parameters. The variance components are necessary to calculate the heritabilities and repeatabilities. The aim of our paper is to estimate the variance components using a random regression repeatability model from test day data set of Hungarian Holstein-Friesian dairy cows and to analyse the change of additive genetic and permanent environmental variance, heritability and repeatability over lactation.en
dc.formatapplication/pdf
dc.identifier.citationActa Agraria Debreceniensis, No. 31 (2008) , 53-55
dc.identifier.doihttps://doi.org/10.34101/actaagrar/31/3006
dc.identifier.issn2416-1640
dc.identifier.issue31
dc.identifier.jatitleActa agrar. Debr.
dc.identifier.jtitleActa Agraria Debreceniensis
dc.identifier.urihttps://hdl.handle.net/2437/316530en
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/actaagrar/article/view/3006
dc.rights.accessOpen Access
dc.subjectrandom regressionen
dc.subjectvariance componentsen
dc.subjectheritabilityen
dc.titleEstimating Genetic Parameters using a Random Regression Modelen
dc.typefolyóiratcikkhu
dc.typearticleen
Fájlok
Eredeti köteg (ORIGINAL bundle)
Megjelenítve 1 - 1 (Összesen 1)
Nincs kép
Név:
pdf
Méret:
211.33 KB
Formátum:
Adobe Portable Document Format
Letöltés
Gyűjtemények
Acta Agraria Debreceniensis (DE-journals)