Literature DB >> 16523639

Growth characteristics of pearl gray guinea fowl as predicted by the Richards, Gompertz, and logistic models.

S N Nahashon1, S E Aggrey, N A Adefope, A Amenyenu, D Wright.   

Abstract

This study was undertaken to describe the growth pattern of the pearl gray Guinea fowl. Using BW data from hatch to 22 wk, 3 nonlinear mathematical functions (Richards, Gompertz, and logistic) were used to estimate growth patterns of the pearl gray guinea fowl. The logistic and Gompertz models are a special case of the Richards model, which has a variable point of inflection defined by the shape or growth trajectory parameter, m. The shape parameter m was 1.08 and 0.98 in males and females, respectively, suggesting that the growth pattern of the pearl gray female guinea fowl is Gompertz. The pearl gray guinea fowl exhibited sexual dimorphism for their growth characteristics. From the Gompertz model, the asymptotic BW, growth rate, and age at maximum growth were 1.62 kg, 0.22 kg/wk, and 6.65 wk in males, respectively, and 1.70 kg, 0.19 kg/wk, and 6.70 wk in females, respectively. The ages at maximum growth were 6.65, 6.47, and 8.12 wk for the Richards, Gompertz, and logistic models, respectively. The pearl gray guinea fowl females have a higher asymptotic BW compared with the males. The average asymptotic BW of about 1.57 kg for both sexes predicted by the logistic model was below the average predicted BW from the Richards (1.66 kg) and Gompertz (1.67 kg) models, respectively, at 22 wk of age. The inverse relationship between the asymptotic weight and both relative growth and age at maximum growth of the pearl gray guinea fowl is similar to that of chickens, quail, and ducks. Success in studying the growth characteristics of guinea fowl will contribute to the efforts of genetically improving this least-studied avian species.

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Year:  2006        PMID: 16523639     DOI: 10.1093/ps/85.2.359

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


  5 in total

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Review 2.  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

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Journal:  Asian-Australas J Anim Sci       Date:  2016-09-27       Impact factor: 2.509

4.  A comparative analysis of microbial profile of Guinea fowl and chicken using metagenomic approach.

Authors:  Sarayu Bhogoju; Samuel Nahashon; Xiaofei Wang; Carl Darris; Agnes Kilonzo-Nthenge
Journal:  PLoS One       Date:  2018-03-01       Impact factor: 3.240

5.  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
  5 in total

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