1994Acta Agriculturae Scandinavica Section A – Animal ScienceRequires access

Estimation of Genetic Parameters for Litter Size in Sheep using a Non-Linear Method

J. N. Jørgensen

Open publisher page 13 citations

Abstract

Variance components and breeding values were calculated for litter size in three breeds of sheep, using non-linear (GFCAT) and linear (REML, BLUP) models. GFCAT heritabilities ranged from 0.09 to 0.27, with heritabilities on the outward scale which were fairly similar to the REML estimates. REML heritabilities and repeatabilities ranged from 0.00 to 0.10 and from 0.00 to 0.20, respectively. Correlations between breeding values of rams obtained by BLUP and GFCAT ranged from 0.91 to 1.00. Correlations between breeding values of daughters and rams estimated by the two methods were fairly consistent within breed. It was concluded that rams could and should be evaluated by the more justified GFCAT method, and because of the similarity between results of the two types of methods that ewes should be evaluated by BLUP until non-linear methods can be performed with an animal model.

About this research paper

What this paper is about

Variance components and breeding values were calculated for litter size in three breeds of sheep, using non-linear (GFCAT) and linear (REML, BLUP) models. GFCAT heritabilities ranged from 0.09 to 0.27, with heritabilities on the outward scale which were fairly similar to the REML estimates. REML heritabilities and repeatabilities ranged from 0.00 to 0.10 and from 0.00 to 0.20, respectively. Correlations between breeding values of rams obtained by BLUP and GFCAT ranged from 0.91 to 1.00. Correlations between breeding values of daughters and rams estimated by the two methods were fairly consistent within breed. It was concluded that rams could and should be evaluated by the more justified GFCAT method, and because of the similarity between results of the two types of methods that ewes should be evaluated by BLUP until non-linear methods can be performed with an animal model.

Why it matters

OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Variance components and breeding values were calculated for litter size in three breeds of sheep, using non-linear (GFCAT) and linear (REML, BLUP) models. GFCAT heritabilities ranged from 0.09 to 0.27, with heritabilities on the outward scale which were fairly similar to the REML estimates. REML heritabilities and repeatabilities ranged from 0.00 to 0.10 and from 0.00 to 0.20, respectively. Correlations between breeding values of rams obtained by BLUP and GFCAT ranged from 0.91 to 1.00. Correlations between breeding values of daughters and rams estimated by the two methods were fairly consistent within breed. It was concluded that rams could and should be evaluated by the more justified GFCAT method, and because of the similarity between results of the two types of methods that ewes should be evaluated by BLUP until non-linear methods can be performed with an animal model.

Key concepts: Best linear unbiased prediction, Restricted maximum likelihood, Breed, Litter, Statistics, Mixed model, Linear model, Variance components

Related papers

Back to paper searchBrowse research topicsOriginal source
Estimation of Genetic Parameters for Litter Size in Sheep using a Non-Linear Method — Research Paper | ScholarLens