The use of monthly egg production records for genetic evaluation of laying hens

This research addresses the possibilities of using monthly production records for genetic evaluation of laying hens with four different models and different data sets. The data were collected from a pure line of Lohmann Tierzucht GmbH at Cuxhaven in Germany for two generations from 1998 to 1999 with...

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Main Authors: A Anang, M Mielenz, L Schuler, Rachmat Preisinger
Format: Article
Language:English
Published: Pusat Penelitian dan Pengembangan Peternakan 2001-12-01
Series:Jurnal Ilmu Ternak dan Veteriner
Subjects:
Online Access:http://medpub.litbang.pertanian.go.id/index.php/jitv/article/view/252/252
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spelling doaj-3ee73d44685e481a8f312b9312b048ea2020-11-24T21:31:01ZengPusat Penelitian dan Pengembangan PeternakanJurnal Ilmu Ternak dan Veteriner0853-73802252-696X2001-12-0164269273The use of monthly egg production records for genetic evaluation of laying hensA Anang0M Mielenz1L Schuler2Rachmat Preisinger3————This research addresses the possibilities of using monthly production records for genetic evaluation of laying hens with four different models and different data sets. The data were collected from a pure line of Lohmann Tierzucht GmbH at Cuxhaven in Germany for two generations from 1998 to 1999 with pedigree being traced back one generation. In total of 9735 hens from 220 sires and 1879 dams were analysed. The evaluated models were: (1) Cumulative Model (CM), (2) Multiple Trait Model (MTM), (3) Fixed Regression Model (FRM), and Random Regression Model (RRM). Variance components were estimated using Animal Model with REML and breeding values were predicted using BLUP Animal Model. The RRM is an interesting model for the evaluation. The RRM agrees with the laying curve over the whole evaluated period from the first to eleventh month production. Selection for an increased total production based on the first six month production with the RRM may not be useful. The integration of full year performance from the parent in a selection on the first six month production with the RRM improved the shape of the curve and increased the correlation with the full performance considerably. In addition, genetic evaluation of total production based on odd month production is sufficient for an efficiency of recording system.http://medpub.litbang.pertanian.go.id/index.php/jitv/article/view/252/252Laying henscumulative modelmultiple trait modelfixed regression modelrandom regression model
collection DOAJ
language English
format Article
sources DOAJ
author A Anang
M Mielenz
L Schuler
Rachmat Preisinger
spellingShingle A Anang
M Mielenz
L Schuler
Rachmat Preisinger
The use of monthly egg production records for genetic evaluation of laying hens
Jurnal Ilmu Ternak dan Veteriner
Laying hens
cumulative model
multiple trait model
fixed regression model
random regression model
author_facet A Anang
M Mielenz
L Schuler
Rachmat Preisinger
author_sort A Anang
title The use of monthly egg production records for genetic evaluation of laying hens
title_short The use of monthly egg production records for genetic evaluation of laying hens
title_full The use of monthly egg production records for genetic evaluation of laying hens
title_fullStr The use of monthly egg production records for genetic evaluation of laying hens
title_full_unstemmed The use of monthly egg production records for genetic evaluation of laying hens
title_sort use of monthly egg production records for genetic evaluation of laying hens
publisher Pusat Penelitian dan Pengembangan Peternakan
series Jurnal Ilmu Ternak dan Veteriner
issn 0853-7380
2252-696X
publishDate 2001-12-01
description This research addresses the possibilities of using monthly production records for genetic evaluation of laying hens with four different models and different data sets. The data were collected from a pure line of Lohmann Tierzucht GmbH at Cuxhaven in Germany for two generations from 1998 to 1999 with pedigree being traced back one generation. In total of 9735 hens from 220 sires and 1879 dams were analysed. The evaluated models were: (1) Cumulative Model (CM), (2) Multiple Trait Model (MTM), (3) Fixed Regression Model (FRM), and Random Regression Model (RRM). Variance components were estimated using Animal Model with REML and breeding values were predicted using BLUP Animal Model. The RRM is an interesting model for the evaluation. The RRM agrees with the laying curve over the whole evaluated period from the first to eleventh month production. Selection for an increased total production based on the first six month production with the RRM may not be useful. The integration of full year performance from the parent in a selection on the first six month production with the RRM improved the shape of the curve and increased the correlation with the full performance considerably. In addition, genetic evaluation of total production based on odd month production is sufficient for an efficiency of recording system.
topic Laying hens
cumulative model
multiple trait model
fixed regression model
random regression model
url http://medpub.litbang.pertanian.go.id/index.php/jitv/article/view/252/252
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