Literature DB >> 11048915

Genetic analysis of growth curve parameters for male and female chickens resulting from selection on shape of growth curve.

S Mignon-Grasteau1, M Piles, L Varona, H de Rochambeau, J P Poivey, A Blasco, C Beaumont.   

Abstract

The objectives of this research were to evaluate gender differences and selection on body weight as they affect growth curves of chickens. Marginal posterior densities of growth curve parameters were studied by Gibbs sampling on 10,671 male and female chickens originating from five lines. Line X-+ was selected on low body weight at 8 wk (BW8) and high body weight at 36 wk (BW36), line X+- on high BW8 and low BW36, X++ on high BW8 and BW36, X-- on low BW8, and BW36, and X00 was an unselected control line. Growth was modeled by a Gompertz function. Heritabilities and genetic correlations among parameters of the Gompertz curve were estimated. Marginal posterior densities were drawn for parameters of the growth curve and for sexual dimorphism at ages ranging from hatching to 1 yr. Lines selected for a higher BW8 had higher initial specific growth rates (L), higher maturation rates (K), and lower ages at inflection (T(I)). Lines selected for a higher BW36 had higher asymptotic body weights (A). Estimates of A, L, and T(I) were higher in males and K was higher in females. Difference between sexes for A was greater in the line selected for a lower BW8 and a higher BW36. Dimorphism for L and K was the lowest in lines X++ and X--, respectively. The greatest difference in T(I) was observed in the line selected for lower BW8 and BW36. Sexual dimorphism of body weight was lower at most ages in the lightest line. Before 15 wk, sexual dimorphism in X++ line was lower than in the line selected for higher BW8 and lower BW36. The increase in sexual dimorphism with body weight could be reduced by selecting animals on body weight at two ages instead of one, as is usually done in commercial lines.

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Year:  2000        PMID: 11048915     DOI: 10.2527/2000.78102515x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  7 in total

1.  Characterisation of local Ghanaian chickens: growth performance evaluation based on Richards growth model and genetic size scaling.

Authors:  Richard Osei-Amponsah; Boniface B Kayang; Augustine Naazie; Paul F Arthur; Idris M Barchia
Journal:  Trop Anim Health Prod       Date:  2011-04-01       Impact factor: 1.559

2.  Influence of major genes for crested-head, frizzle-feather and naked-neck on body weights and growth patterns of indigenous chickens reared intensively in Kenya.

Authors:  Thomas M Magothe; William B Muhuyi; Alexander K Kahi
Journal:  Trop Anim Health Prod       Date:  2009-07-05       Impact factor: 1.559

3.  Evidence of maternal QTL affecting growth and obesity in adult mice.

Authors:  Joaquim Casellas; Charles R Farber; Rodrigo J Gularte; Kari A Haus; Craig H Warden; Juan F Medrano
Journal:  Mamm Genome       Date:  2009-04-28       Impact factor: 2.957

4.  Genetic variances, heritabilities and maternal effects on body weight, breast meat yield, meat quality traits and the shape of the growth curve in turkey birds.

Authors:  Muhammad L Aslam; John Wm Bastiaansen; Richard Pma Crooijmans; Bart J Ducro; Addie Vereijken; Martien Am Groenen
Journal:  BMC Genet       Date:  2011-01-25       Impact factor: 2.797

Review 5.  The use of Gompertz models in growth analyses, and new Gompertz-model approach: An addition to the Unified-Richards family.

Authors:  Kathleen M C Tjørve; Even Tjørve
Journal:  PLoS One       Date:  2017-06-05       Impact factor: 3.240

6.  Fermented cottonseed meal improves production performance and reduces fat deposition in broiler chickens.

Authors:  Jun Li Niu; Lian Qing Wei; Yuan Qing Luo; Wen Ting Yang; Qi Cheng Lu; Xin Xia Zheng; Yu Jie Niu; Wen Sheng; Hong Cheng; Wen Ju Zhang; Cun Xi Nie
Journal:  Anim Biosci       Date:  2020-11-25

7.  Association of Apolipoprotein B and Adiponectin Receptor 1 Genes with Carcass, Bone Integrity and Performance Traits in a Paternal Broiler Line.

Authors:  Valdecy Aparecida Rocha da Cruz; Flávio Schramm Schenkel; Rodrigo Pelicioni Savegnago; Natalia Vinhal Grupioni; Nedenia Bonvino Stafuzza; Mehdi Sargolzaei; Adriana Mércia Guaratini Ibelli; Jane de Oliveira Peixoto; Mônica Corrêa Ledur; Danísio Prado Munari
Journal:  PLoS One       Date:  2015-08-31       Impact factor: 3.240

  7 in total

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