Fecha/hora: 07/06/2024 11:13:21

Biblioteca(s): | INIA La Estanzuela; INIA Las Brujas.
Tipo de la producción científica: | Artículos en Revistas Indexadas Internacionales
Circulación/Nivel: | A - 2
Fecha corriente: | 21/02/2014
Fecha de la última actualización: | 15/10/2019
Autoria: | SIMEONE, R.; MISZTAL, I.; AGUILAR, I.; VITEZICA, Z.G.
Afiliación: | IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay.
Título: | Evaluation of a multi-line broiler chicken population using a single-step genomic evaluation procedure.
Año de publicación: | 2012
Fuente/Imprenta: | Journal of Animal Breeding and Genetics, 2012, v.129, no.1, p.3-10.
ISSN: | 0931-2668
DOI: | 10.1111/j.1439-0388.2011.00939.x
Idioma: | Inglés
Notas: | Article history: Received: 26 July 2010 / Accepted: 4 June 2011.

Contenido:

ABSTRACT.

Effects on prediction of analysing a multi-line chicken population as one line were evaluated. Body weight records were provided by Cobb-Vantress for two lines of broiler chickens. Phenotypic records for 183695 and 164149 broilers and genotypic records for 3195 and 3001 broilers were available for each line. Lines were combined to create a multi-line population and analysed using a single-step procedure combining the additive relationship matrix and the genomic relationship matrix (G). G was scaled using allele frequencies from each line, the multi-line population, or 0.5. When allele frequencies were calculated from each line, distributions of diagonal elements were bimodal. When allele frequencies were calculated from the multi-line population, the distribution of diagonal elements had one peak. When allele frequency 0.5 was used, the distribution was bimodal. Genomic estimated breeding values (GEBVs) were predicted using each allele frequency. GEBVs differed with allele frequency but had &#8805;0.99 correlations with GEBVs predicted with correct allele frequencies. Means of each line and differences in mean between the lines differed based on allele frequencies. Assumed allele frequencies have little impact on ranking within line but larger impact on ranking across lines. G may be used to evaluate multiple populations simultaneously but must be adjusted to obtain properly scaled estimates when population structure is unknown. 
© 2011 Blackwell Verlag GmbH.

Thesagro: | MEJORAMIENTO GENETICO ANIMAL; POLLO.

Categoría del tema:

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L10 Genética y mejoramiento animal

Registro original: | INIA Las Brujas (LB)
Ejemplares: | LB - (12843-1) - PXI - AP - DD - PP/JR.ANIMAL BREED.&GENET./2012 -  -  - DIS