Literature DB >> 26009751

Genetic parameters of feed efficiency traits in laying period of chickens.

Jingwei Yuan1, Taocun Dou2, Meng Ma2, Guoqiang Yi1, Sirui Chen1, Lujiang Qu1, Manman Shen2, Liang Qu2, Kehua Wang2, Ning Yang3.   

Abstract

Laying records on 1,534 F2 hens, derived from a reciprocal cross between White Leghorns and Dongxiang blue-shelled chickens, were used to estimate genetic parameters for residual feed intake (RFI), feed conversion ratio (FCR), daily feed intake (FI), metabolic BW (MBW), BW gain (BWG), and daily egg mass (EM) at 37 to 40 (T1) and 57 to 60 wk age (T2), respectively. Genetic analysis was subsequently conducted with the AI-REML method using an animal model. Estimates for heritability of RFI, FCR, and FI were 0.21, 0.19, and 0.20 in T1, and 0.29, 0.13, and 0.26 in T2, respectively. In T1 and T2, RFI showed high and positive genetic correlations with FCR (0.51, 0.43) and FI (0.72, 0.84), whereas the genetic correlation between FI and FCR was very low (-0.09, 0.11). Genetically, negative correlations were found between RFI and its component traits (-0.01 to -0.47). In addition, high genetic correlations, from 0.76 to 0.94, were observed between T1 and T2 for RFI, FCR, and FI, suggesting that feed efficiency traits in the 2 stages had a similar genetic background. The results indicate that selection for low RFI could reduce FI without significant changes in EM, while selection on FCR will increase EM. The present study lays the foundation for genetic improvement of feed efficiency during the laying period of chickens.
© The Author 2015. Published by Oxford University Press on behalf of Poultry Science Association.

Entities:  

Keywords:  REML; chicken; feed efficiency; genetic parameter; laying period

Mesh:

Year:  2015        PMID: 26009751      PMCID: PMC4991064          DOI: 10.3382/ps/pev122

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


  15 in total

1.  Direct and correlated responses to divergent selection for residual food intake in Rhode Island Red laying hens.

Authors:  A Bordas; M Tixier-Boichard; P Mérat
Journal:  Br Poult Sci       Date:  1992-09       Impact factor: 2.095

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

Authors:  L G Gaya; J B S Ferraz; F M Rezende; G B Mourão; E C Mattos; J P Eler; T Michelan Filho
Journal:  Poult Sci       Date:  2006-05       Impact factor: 3.352

3.  Heritabilities and genetic correlations for reproductive traits in an F2 reciprocal cross chicken population.

Authors:  R P Savegnago; M E Buzanskas; B N Nunes; S B Ramos; M C Ledur; K Nones; D P Munari
Journal:  Genet Mol Res       Date:  2011-07-05

4.  Physiological basis for residual feed intake.

Authors:  R M Herd; P F Arthur
Journal:  J Anim Sci       Date:  2008-11-21       Impact factor: 3.159

Review 5.  Molecular basis for residual feed intake in beef cattle.

Authors:  S S Moore; F D Mujibi; E L Sherman
Journal:  J Anim Sci       Date:  2008-10-24       Impact factor: 3.159

6.  Simultaneous estimation of variances and covariances using REML and Henderson 3 in a selected population of White Leghorns.

Authors:  N Mielenz; E Groeneveld; J Müller; J Spilke
Journal:  Br Poult Sci       Date:  1994-12       Impact factor: 2.095

7.  Genetic variation of residual feed consumption in a selected Finnish egg-layer population.

Authors:  N Schulman; M Tuiskula-Haavisto; L Siitonen; E A Mäntysaari
Journal:  Poult Sci       Date:  1994-10       Impact factor: 3.352

8.  Evaluation of simultaneous selection for live body weight and against abdominal fat in broilers.

Authors:  A Cahaner; Z Nitsan
Journal:  Poult Sci       Date:  1985-07       Impact factor: 3.352

9.  Genetic properties of feed efficiency parameters in meat-type chickens.

Authors:  Samuel E Aggrey; Arthur B Karnuah; Bram Sebastian; Nicholas B Anthony
Journal:  Genet Sel Evol       Date:  2010-06-29       Impact factor: 4.297

10.  The genetic parameters of feed efficiency and its component traits in the turkey (Meleagris gallopavo).

Authors:  Lindsay A Case; Benjamin J Wood; Stephen P Miller
Journal:  Genet Sel Evol       Date:  2012-01-23       Impact factor: 4.297

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  13 in total

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Authors:  T Zeng; L Huang; J Ren; L Chen; Y Tian; Y Huang; H Zhang; J Du; L Lu
Journal:  J Anim Sci       Date:  2017-12       Impact factor: 3.159

2.  Genetic and phenotypic parameters for feed efficiency and component traits in American mink.

Authors:  Pourya Davoudi; Duy Do; Stefanie M Colombo; Bruce Rathgeber; Guoyu Hu; Mehdi Sargolzaei; Zhiquan Wang; Graham Plastow; Younes Miar
Journal:  J Anim Sci       Date:  2022-08-01       Impact factor: 3.338

3.  Hens ranked as highly feed efficient have an improved albumen quality profile and increased polyunsaturated fatty acids in the yolk.

Authors:  Yeasmin Akter; Shiva Greenhalgh; Md Rafiqul Islam; Christine Hutchison; Cormac J O'Shea
Journal:  J Anim Sci       Date:  2018-07-28       Impact factor: 3.159

4.  Genome-wide association studies for feed intake and efficiency in two laying periods of chickens.

Authors:  Jingwei Yuan; Kehua Wang; Guoqiang Yi; Meng Ma; Taocun Dou; Congjiao Sun; Lu-Jiang Qu; Manman Shen; Liang Qu; Ning Yang
Journal:  Genet Sel Evol       Date:  2015-10-16       Impact factor: 4.297

5.  A genome-wide study to identify genes responsible for oviduct development in chickens.

Authors:  Manman Shen; Liang Qu; Meng Ma; Taocun Dou; Jian Lu; Jun Guo; Yuping Hu; Xingguo Wang; Yongfeng Li; Kehua Wang; Ning Yang
Journal:  PLoS One       Date:  2017-12-27       Impact factor: 3.240

6.  Assessment of the genomic prediction accuracy for feed efficiency traits in meat-type chickens.

Authors:  Tianfei Liu; Chenglong Luo; Jie Wang; Jie Ma; Dingming Shu; Mogens Sandø Lund; Guosheng Su; Hao Qu
Journal:  PLoS One       Date:  2017-03-09       Impact factor: 3.240

7.  Genome-wide association study reveals putative role of gga-miR-15a in controlling feed conversion ratio in layer chickens.

Authors:  Jingwei Yuan; Sirui Chen; Fengying Shi; Guiqin Wu; Aiqiao Liu; Ning Yang; Congjiao Sun
Journal:  BMC Genomics       Date:  2017-09-06       Impact factor: 3.969

8.  Feed conversion ratio, residual feed intake and cholecystokinin type A receptor gene polymorphisms are associated with feed intake and average daily gain in a Chinese local chicken population.

Authors:  Zhenhua Yi; Xing Li; Wen Luo; Zhenqiang Xu; Congliang Ji; Yan Zhang; Qinghua Nie; Dexiang Zhang; Xiquan Zhang
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9.  Genome-Wide Association Studies for Comb Traits in Chickens.

Authors:  Manman Shen; Liang Qu; Meng Ma; Taocun Dou; Jian Lu; Jun Guo; Yuping Hu; Guoqiang Yi; Jingwei Yuan; Congjiao Sun; Kehua Wang; Ning Yang
Journal:  PLoS One       Date:  2016-07-18       Impact factor: 3.240

10.  Identification of Promising Mutants Associated with Egg Production Traits Revealed by Genome-Wide Association Study.

Authors:  Jingwei Yuan; Congjiao Sun; Taocun Dou; Guoqiang Yi; LuJiang Qu; Liang Qu; Kehua Wang; Ning Yang
Journal:  PLoS One       Date:  2015-10-23       Impact factor: 3.240

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