Literature DB >> 19170675

Quantitative trait loci for performance traits in a broiler x layer cross.

M Ambo1, A S A M T Moura, M C Ledur, L F B Pinto, E E Baron, D C Ruy, K Nones, R L R Campos, C Boschiero, D W Burt, L L Coutinho.   

Abstract

An F(2) resource population, derived from a broiler x layer cross, was used to map quantitative trait loci (QTL) for body weights at days 1, 35 and 41, weight gain, feed intake, feed efficiency from 35 to 41 days and intestinal length. Up to 577 F(2) chickens were genotyped with 103 genetic markers covering 21 linkage groups. A preliminary QTL mapping report using this same population focused exclusively on GGA1. Regression methods were applied to line-cross and half-sib models for QTL interval mapping. Under the line-cross model, eight QTL were detected for body weight at 35 days (GGA2, 3 and 4), body weight at 41 days (GGA2, 3, 4 and 10) and intestine length (GGA4). Under the half-sib model, using sire as common parent, five QTL were detected for body weight at day 1 (GGA3 and 18), body weight at 35 days (GGA2 and 3) and body weight at 41 days (GGA3). When dam was used as common parent, seven QTL were mapped for body weight at day 1 (GGA2), body weight at day 35 (GGA2, 3 and 4) and body weight at day 41 (GGA2, 3 and 4). Growth differences in chicken lines appear to be controlled by a chronological change in a limited number of chromosomal regions.

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Year:  2008        PMID: 19170675     DOI: 10.1111/j.1365-2052.2008.01824.x

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  15 in total

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Journal:  Nature       Date:  2010-03-10       Impact factor: 49.962

2.  Composite interval mapping and mixed models reveal QTL associated with performance and carcass traits on chicken chromosomes 1, 3, and 4.

Authors:  M F Rosario; R Gazaffi; A S A M T Moura; M C Ledur; L L Coutinho; A A F Garcia
Journal:  J Appl Genet       Date:  2013-11-28       Impact factor: 3.240

3.  Genome-wide association study of 8 carcass traits in Jinghai Yellow chickens using specific-locus amplified fragment sequencing technology.

Authors:  Wenhao Wang; Tao Zhang; Jinyu Wang; Genxi Zhang; Yongjuan Wang; Yinwen Zhang; Jianhui Zhang; Guohui Li; Qian Xue; Kunpeng Han; Xiuhua Zhao; Hongkun Zheng
Journal:  Poult Sci       Date:  2016-03       Impact factor: 3.352

4.  Quantitative trait loci for growth-related traits in Japanese quail (Coturnix japonica) using restriction-site associated DNA sequencing.

Authors:  Mohammad Ibrahim Haqani; Shigeru Nomura; Michiharu Nakano; Tatsuhiko Goto; Atsushi J Nagano; Atsushi Takenouchi; Yoshiaki Nakamura; Akira Ishikawa; Masaoki Tsudzuki
Journal:  Mol Genet Genomics       Date:  2021-07-12       Impact factor: 3.291

5.  Genome-wide association study identified a narrow chromosome 1 region associated with chicken growth traits.

Authors:  Liang Xie; Chenglong Luo; Chengguang Zhang; Rong Zhang; Jun Tang; Qinghua Nie; Li Ma; Xiaoxiang Hu; Ning Li; Yang Da; Xiquan Zhang
Journal:  PLoS One       Date:  2012-02-16       Impact factor: 3.240

6.  Genome-wide interval mapping using SNPs identifies new QTL for growth, body composition and several physiological variables in an F2 intercross between fat and lean chicken lines.

Authors:  Olivier Demeure; Michel J Duclos; Nicola Bacciu; Guillaume Le Mignon; Olivier Filangi; Frédérique Pitel; Anne Boland; Sandrine Lagarrigue; Larry A Cogburn; Jean Simon; Pascale Le Roy; Elisabeth Le Bihan-Duval
Journal:  Genet Sel Evol       Date:  2013-09-30       Impact factor: 4.297

7.  Quantitative trait loci with sex-specific effects for internal organs weights and hematocrit value in a broiler-layer cross.

Authors:  A S A M T Moura; M C Ledur; C Boschiero; K Nones; L F B Pinto; F R F Jaenisch; D W Burt; L L Coutinho
Journal:  J Appl Genet       Date:  2015-10-24       Impact factor: 3.240

8.  Comparative analysis of quantitative trait loci for body weight, growth rate and growth curve parameters from 3 to 72 weeks of age in female chickens of a broiler-layer cross.

Authors:  Baitsi K Podisi; Sara A Knott; David W Burt; Paul M Hocking
Journal:  BMC Genet       Date:  2013-03-13       Impact factor: 2.797

9.  Genome-wide association study identifies Loci and candidate genes for body composition and meat quality traits in Beijing-You chickens.

Authors:  Ranran Liu; Yanfa Sun; Guiping Zhao; Fangjie Wang; Dan Wu; Maiqing Zheng; Jilan Chen; Lei Zhang; Yaodong Hu; Jie Wen
Journal:  PLoS One       Date:  2013-04-18       Impact factor: 3.240

10.  Quantitative trait loci identified for blood chemistry components of an advanced intercross line of chickens under heat stress.

Authors:  Angelica Van Goor; Christopher M Ashwell; Michael E Persia; Max F Rothschild; Carl J Schmidt; Susan J Lamont
Journal:  BMC Genomics       Date:  2016-04-14       Impact factor: 3.969

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