Comparison of Growth Curves of Weight Selected Populations of Turkeys, Quail, and Chickens

Anthony, N. B.; Emmerson, D. A.; Nestor, KE; Bacon, Wayne L.; Sigel, P. B.; Dunnington, E. A.

doi:10.3382/ps.0700013

Cited by 81 publications

(49 citation statements)

References 20 publications

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“…Similar results have been reported in the meat and egg chicken strains by DarmaniKuhi et al (2003). These results were in disagreement with the previous theory that stated Gompertz equation was the best fit for galiforms (Tzeng and Becker, 1981;Ricklefs, 1985;Anthony et al, 1991;Akbas and Oguz, 1998;Dogan et al, 2010). Brisbin et al (1986), Knízetová et al (1991aKnízetová et al ( , 1991b, Darmani-Kuhi et al (2003), Balcioğlu et al (2005), Sezer and Tarhan (2005) and Darmani-Kuhi et al (2010) successfully fitted Richards function to the poultry growth data.…”

Section: Discussioncontrasting

confidence: 57%

Evaluation of Growth Functions on Japanese Quail Lines

et al. 2013

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The aim of present study was to fit the best predictive equation to describe the growth curve of different Japanese quail lines. Moreover the effect of short-term divergent selection on the growth curve parameters was investigated. The quail lines utilized in the current study were two divergently selected lines for high (HW) and low (LW) 4-wk body weight (BW) and a control line (C). Determination and adjusted determination coefficients, relative error mean and standard deviation, mean square error, Akaike's information criteria and Schwarz Bayesian information criteria were used to evaluate the accuracy of prediction with the growth functions of Hyperbolastic (H1, H2, H3), Richards, Gompertz, Logistic and Von bertalanffy. Based on model behavior and statistical performance, the Gompertz and Logistic functions were not able to show a suitable fit for all three lines. The overall goodness of fit statistics in the HW line showed that the Richards function has the best fit to the data followed by H3, H2, H1, Von bertalanffy, Gompertz and Logistic functions, respectively. The overall results in the LW and C lines were similar to the HW line, except that Logistic function provided a better fit to the data than Gompertz. The study of growth pattern using Richards function revealed that short-term divergent selection altered the growth trajectory of selected lines through the changing of shape parameters and relative intensity of growth rates.

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Section: Discussioncontrasting

confidence: 57%

Evaluation of Growth Functions on Japanese Quail Lines

et al. 2013

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“…The Gompertz growth model has been cited as the model of choice for chicken data based on its overall fit and its biological meaning of curve parameters (Rickefels, 1985;Anthony et al, 1991;Mignon-Grasteau et al, 1999;Aggrey, 2002). However, to our best knowledge no studies were conducted on growth curve modelling in the present chicken population.…”

Section: Introductionmentioning

confidence: 98%

Modelling Growth Curves in a Nondescript Italian Chicken Breed: an Opportunity to Improve Genetic and Feeding Strategies

et al. 2015

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Growth, known as the relation between liveweight and age, is explained mathematically by functions that have parameters with biological meaning. These parameters are used to describe growth pattern over time and to estimate the expected weight of animals at specific ages. Animal growth generally follows a sigmoidal pattern and several nonlinear functions have been used to describe it. This study was carried out to estimate the parameters of logistic, Gompertz and Richards growth curve models in a nondescript chicken breed population from southern Italy to determine the goodness of fit. Male and female birds were weighed weekly starting from two to twenty-four weeks of age. Based on our dataset, chickens showed a slow-growth pattern. All the growth functions evaluated were easily fitted to the observed data by nonlinear regression; our findings showed that Gompertz model fitted liveweight data very well both for male and female birds being the best model for studying the growth of our animals. Nevertheless, the four-parameter Richards function provided also a good fit of the data. Success in studying the growth characteristics of our nondescript chicken breed will contribute to define appropriate feeding regimens and to develop selection programme.

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“…In a number of studies, growth trend parameters have been found to be highly heritable and have been successfully used in selection studies (Merrit, 1974;Mignon-Grasteau et al, 2001;Sengul & Kiraz, 2005). Growth curves have been modelled for turkeys (Anthony et al, 1991;Sengul & Kiraz, 2005), ostriches (Du Preez et al, 1992;Cilliers et al, 1995;Sabbioni et al, 1999), quails (Anthony et al, 1991) and chickens (Anthony et al, 1991;Mignon-Grasteau et al, 2000;Mignon-Grasteau et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Analysis of growth curves of indigenous male Venda and Naked Neck chickens

et al. 2008

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The objective of this work was to estimate and compare the growth curve parameters for live weight of indigenous Venda and Naked Neck chickens and carry out some analyses to test the existence of differences in the growth pattern between these breeds. The data were collected from the two breeds of chickens that were reared from day-old to 21 weeks of age. Two hundred chickens (100 of each breed) were used. Three different non-linear models, namely Gompertz, Logistic and Richards, were used to define the growth curves of the chickens. Models were compared using Coefficients of determination (R 2 values), A parameter values, the Durbin-Watson Statistic (DW) test for autocorrelation, computing difficulty based on the number of iterations needed for convergence and size of residual variances. The R 2 were high for all models: 0.996, 0.990 and 0.997 for Gompertz, Logistic and Richards, respectively. Residual variances were 2240, 5924 and 1154 for Gompertz, Logistic and Richards, respectively. The Gompertz model was observed to be suitable for explaining the growth of the chickens. Breed differences were observed in the growth parameters of chickens. The Venda breed was observed to be late maturing and heavier at maturity while the Naked Neck was shown to have a higher growth rate, reaching maturity earlier but attaining a lighter mature weight.

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Comparison of Growth Curves of Weight Selected Populations of Turkeys, Quail, and Chickens

Cited by 81 publications

References 20 publications

Evaluation of Growth Functions on Japanese Quail Lines

Evaluation of Growth Functions on Japanese Quail Lines

Modelling Growth Curves in a Nondescript Italian Chicken Breed: an Opportunity to Improve Genetic and Feeding Strategies

Analysis of growth curves of indigenous male Venda and Naked Neck chickens

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