Evaluation of Growth Functions on Japanese Quail Lines

Beiki, Hamid; Pakdel, A.; Moradi-Shahrbabak, Mohammad; Mehrban, Hossein

doi:10.2141/jpsa.0110142

Cited by 27 publications

(24 citation statements)

References 36 publications

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“…In comparative studies of various growth functions, it has been shown that the Gompertz and Richards functions reflect weight changes rather the age in Japanese quail well (7,10,12,13,15), which is in agreement with results of this study for the Italian Speckled and Wild strains. The logistic function was the best for most of the strains (Tuxedo, Scarlett, English white, White button, and A&M Texas), which is in line with the results of Raji et al (8).…”

Section: Discussionsupporting

confidence: 91%

“…However, Raji et al (8) and Ozkan and Kocabas (9) suggested that Weibull and logistic functions, in that order, were the best functions for growth in quail based on the goodness of fit. In general, most studies reported that Gompertz and Richards functions could describe the time-dependent changes of growth fairly well in Japanese quail (10)(11)(12)(13)(14)(15).…”

Section: Introductionmentioning

confidence: 96%

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Comparative study of growth patterns in seven strains of Japanese quail using nonlinear regression modeling

Faraji-Arough¹,

Rokouei²,

Maghsoudi³

et al. 2018

Turk J Vet Anim Sci

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The aim of this study was to compare the growth pattern of seven strains of Japanese quail including Wild, Italian Speckled, Tuxedo, Scarlett, English white, White button, and A&M Texas by nonlinear growth functions including Gompertz, Richards, logistic, Lopez, and Weibull functions. The body weights of the unselected randomly bred populations of these strains were measured weekly from 1 to 42 days of age and then used to fit functions. The fitness of each function was assessed by statistics including the mean square error, Akaike information criterion, Bayesian information criterion, and adjusted coefficient of determination. The results showed that Gompertz was the best function for describing the growth curve in Italian Speckled and Wild strains; however, the best function for the other strains was the logistic function. The maximum and minimum values for age and weight at the inflection point were obtained for the White button and Scarlett strains, respectively. The weight to age ratio at the inflection point was maximized for Italian Speckled. The best growth rate was observed for the Italian Speckled strain, whereas the White button strain exhibited the worst growth rate. In conclusion, the Italian Speckled strain had the best properties among the tested strains for breeding as broiler poultry. Research ArticleThis work is licensed under a Creative Commons Attribution 4.0 International License. 442FARAJI-AROUGH et al. / Turk J Vet Anim Sci specific fixed marker genes for plumage color, eggshell color, and brooding groups making similar colonies. It is supposed that these marker genes do not affect the growth pattern in poultry (12), whereas the effect of the roux plumage color mutation on growth was reported by Minvielle et al. (16). The results of several studies showed that selection of the growth function must be strainspecific (12,20). The present study was undertaken to compare growth patterns of quail strains using nonlinear functions. Materials and methodsThe experiment was performed in the Research Center of Special Domestic Animals (RCSDA), Research Institute at University of Zabol, Zabol, Iran. A total of 470 one-day-old Japanese quails including Wild (n = 83), Italian Speckled (n = 136), Scarlett (n = 41), Tuxedo (n = 44), White button (n = 31), English white (n = 64), and A&M Texas (n = 71) strains were obtained from the genetic stock of the RCSDA hatchery from unselected and randomly mating parents. On hatching day, all chicks were identified by wing bands, and they were fed a normal diet containing 250 g CP/kg and 2900 kcal J ME/kg. The birds had ad libitum access to feed and water throughout the experiment. A lighting schedule of 23:1 h (light:dark) was used during the experiment. Room temperature was scheduled to drop gradually from 35 °C the first week to 20-25 °C for the following weeks. Body weights of the birds were recorded weekly. The records for quails that died before 42 days of age were excluded from the analyses.Five nonlinear functions including the Gompertz, Richards, logistic, ...

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 96%

Comparative study of growth patterns in seven strains of Japanese quail using nonlinear regression modeling

Faraji-Arough¹,

Rokouei²,

Maghsoudi³

et al. 2018

Turk J Vet Anim Sci

View full text Add to dashboard Cite

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“…the sinusoidal equation) were the most appropriate functions to describe the age-related changes in body weight in turkeys. This result is especially important when the behaviour of a particular data set is not defined previously (Darmani-Kuhi et al, 2003;Beiki, Pakdel, Moradi-shahrbabak & Mehrban, 2013). Nevertheless, selection of the best function requires special attention to characterize the growth patterns of animals raised under different environmental conditions (Narinc, Emre, Mehmet & Tulin, 2010).…”

Section: Resultsmentioning

confidence: 99%

A sinusoidal equation as an alternative to classical growth functions to describe growth profiles in turkeys

Kuhi

López

Mohit

et al. 2019

Acta Sci. Anim. Sci.

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Because of the relatively long growing cycle and the high cost of research into turkey production and nutrition, the potential benefits from modelling growth in this avian species are considerable. Though there are many studies aimed at evaluating animal growth models, the number of studies targeting growth models in turkeys is quite limited. In this paper we present a sinusoidal function to describe the evolution of growth in turkeys as a function of time based on data published by Aviagen. The new function was evaluated with regard to its ability to describe the relationship between body weight and age in turkeys and was compared to four standard growth functions: the Gompertz, logistic, Lopez, and Richards. The results of this study show that the new sinusoidal function precisely describes the growth dynamics of turkeys. Fitting the functions to different data profiles nearly always led to the same or less maximized log-likelihood values for the sinusoidal equation, indicating its suitability in describing growth data from turkeys.

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“…dISCuSSIon Variation in growth curves of different domestic species is predominantly related to the evolutionary differences between the wild ancestors of species. Many functions have been developed to deal with growth and new ones are continuously being proposed, Beiki et al (2013). Understanding and estimating, the defining characteristics of growth processes are key components of developmental research.…”

Section: Model Parametersmentioning

confidence: 99%

Growth Patterns of Two Chinese Native Goose Breeds

Ibtisham

et al. 2017

Rev. Bras. Cienc. Avic.

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To study the development rules of Chinese native geese, two breeds, Shitou and Sichuan White geese were analyzed from 0 to 12 weeks of age. The growth curves were fitted with commonly used four kinds of nonlinear models (Logistic, Gompertz, Von Bertalanffy and Richards). The results showed that the growth curves were appropriately fitted with all four models but the Logistic and Richards both had the best fitting with growth curve (R 2 >0.99). Analyzing the fitting parameters of the Logistic and Richards, we found that male Shitou had the highest adult body weight while Sichuan White female had the lowest weight. In Shitou breed, Shape parameter Predicted with Richards model was corresponded with Gompertz curve, while in Sichuan breed it was in between Gompertz and Bertalanffy. Growth parameters predicted with Logistic model was much more closed to observed value as compared others. So overall logistic was the best model to analyze the growth curve in Chinese native goose and Shitou goose had excellent growth performance when compared to Sichuan White.

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Evaluation of Growth Functions on Japanese Quail Lines

Cited by 27 publications

References 36 publications

Comparative study of growth patterns in seven strains of Japanese quail using nonlinear regression modeling

Comparative study of growth patterns in seven strains of Japanese quail using nonlinear regression modeling

A sinusoidal equation as an alternative to classical growth functions to describe growth profiles in turkeys

Growth Patterns of Two Chinese Native Goose Breeds

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