Literature DB >> 15109049

Estimation of genetic parameters for fat deposition and carcass traits in broilers.

S Zerehdaran1, A L J Vereijken, J A M van Arendonk, E H van der Waaijt.   

Abstract

Abdominal and subcutaneous fat are regarded as the main sources of waste in the slaughterhouse. Fat stored intramuscularly is regarded a favorite trait related to meat quality. The objective of current study was to estimate genetic parameters for fat deposition in the 3 different parts of body and their relationships with other carcass traits. Traits were recorded for 1,752 females and 1,526 males from a meat-type chicken line. Heritability estimates for abdominal fat percentage, skin percentage as a measure of subcutaneous fat, and intramuscular fat percentage were 0.71, 0.24, and 0.08, respectively. Heritabilities of the other carcass traits were moderate to high (0.28 to 0.73). There was a high genetic correlation between abdominal fat weight and skin weight (0.54), whereas the genetic correlation between abdominal fat weight and intramuscular fat percentage was almost zero (0.02). The BW at 7 wk showed a positive genetic correlation with fat production traits, which were high for intramuscular fat percentage (0.87) and moderate for skin percentage (0.17) and abdominal fat percentage (0.13). Therefore carcass traits could be improved by selection for increased breast muscle and reduced abdominal fat without decreased intramuscular fat.

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Year:  2004        PMID: 15109049     DOI: 10.1093/ps/83.4.521

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


  42 in total

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2.  Sepiolite as an effective supplement for low-protein diets with the constant energy-protein ratio in broilers.

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3.  Transcriptomics analysis of Daheng broilers reveals that PLIN2 regulates chicken preadipocyte proliferation, differentiation and apoptosis.

Authors:  Jingjing Li; Chaowu Yang; Peng Ren; Zhongzhen Lin; Donghao Zhang; Xiaosong Jiang; Li Wang; Yiping Liu
Journal:  Mol Biol Rep       Date:  2021-10-29       Impact factor: 2.316

4.  Genome-wide association study on chicken carcass traits using sequence data imputed from SNP array.

Authors:  Shuwen Huang; Yingting He; Shaopan Ye; Jiaying Wang; Xiaolong Yuan; Hao Zhang; Jiaqi Li; Xiquan Zhang; Zhe Zhang
Journal:  J Appl Genet       Date:  2018-06-23       Impact factor: 3.240

5.  Comparison of carcass and meat quality traits between lean and fat Pekin ducks.

Authors:  Si-Ran Ding; Guang-Sheng Li; Si-Rui Chen; Feng Zhu; Jin-Ping Hao; Fang-Xi Yang; Zhuo-Cheng Hou
Journal:  Anim Biosci       Date:  2019-12-24

6.  Identification of differentially expressed genes and pathways for intramuscular fat deposition in pectoralis major tissues of fast-and slow-growing chickens.

Authors:  Huan-Xian Cui; Ran-Ran Liu; Gui-Ping Zhao; Mai-Qing Zheng; Ji-Lan Chen; Jie Wen
Journal:  BMC Genomics       Date:  2012-05-30       Impact factor: 3.969

7.  Changes in muscle cell cation regulation and meat quality traits are associated with genetic selection for high body weight and meat yield in broiler chickens.

Authors:  Dale A Sandercock; Zoe E Barker; Malcolm A Mitchell; Paul M Hocking
Journal:  Genet Sel Evol       Date:  2009-01-14       Impact factor: 4.297

8.  Gene expression of fatty acid binding protein genes and its relationship with fat deposition of Thai native crossbreed chickens.

Authors:  Supanon Tunim; Yupin Phasuk; Samuel E Aggrey; Monchai Duangjinda
Journal:  Anim Biosci       Date:  2020-04-13

9.  MUSTN1 mRNA Abundance and Protein Localization is Greatest in Muscle Tissues of Chinese Meat-Quality Chickens.

Authors:  Juan Li; Yang Chen; Ya-Gang Wang; Xiao-Ling Zhao; Elizabeth Ruth Gilbert; Yi-Ping Liu; Yan Wang; Yao-Dong Hu; Qing Zhu
Journal:  Int J Mol Sci       Date:  2013-03-08       Impact factor: 5.923

10.  Analysis of a slow-growing line reveals wide genetic variability of carcass and meat quality-related traits.

Authors:  Marie Chabault; Elisabeth Baéza; Vérane Gigaud; Pascal Chartrin; Hervé Chapuis; Maryse Boulay; Cécile Arnould; François D'Abbadie; Cécile Berri; Elisabeth Le Bihan-Duval
Journal:  BMC Genet       Date:  2012-10-23       Impact factor: 2.797

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