Literature DB >> 16673760

Heritability and genetic correlation estimates for performance and carcass and body composition traits in a male broiler line.

L G Gaya1, J B S Ferraz, F M Rezende, G B Mourão, E C Mattos, J P Eler, T Michelan Filho.   

Abstract

The current research was conducted to estimate the heritability coefficients and the genetic correlations for performance and carcass and body composition traits in a single sire broiler line. The performance traits analyzed were BW at 38 d, ultrasound records of pectoral muscle depth, feed intake, feed conversion ratio, and BW at 42 d. The carcass traits analyzed were eviscerated BW, breast weight, and leg weight, and the body composition traits analyzed were abdominal fat content, heart weight, gizzard weight, liver weight, and intestine weight. The number of observations varied between 4,120 and 29,040 for each trait. The (co)variance components, heritability, and genetic correlation estimates were obtained by restricted maximum likelihood. The numerator relationship matrix had 42,912 animals. Based on the heritability estimates obtained, the analyzed traits seemed to be able to respond to selection, at variable intensities. The genetic correlation estimates between a great number of performance traits, as well as between a great number of carcass traits, were suggestive of a close genetic relationship between these traits. The genetic correlation estimates between body composition traits were variable. A large genetic association between a great number of performance and carcass traits seemed to exist. The genetic correlation estimates between performance and body composition traits were variable, and important associations between carcass and body composition traits did not seem to exist.

Mesh:

Year:  2006        PMID: 16673760     DOI: 10.1093/ps/85.5.837

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


  24 in total

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Journal:  Genet Sel Evol       Date:  2017-12-11       Impact factor: 4.297

10.  Genome-assisted prediction of a quantitative trait measured in parents and progeny: application to food conversion rate in chickens.

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Journal:  Genet Sel Evol       Date:  2009-01-05       Impact factor: 4.297

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