Crescimento de codornas de diferentes grupos genéticos por meio de modelos não lineares

Mota, Lúcio Flávio Macêdo; Alcântara, D.C.; Abreu, Luíza Rodrigues Alves; Costa, Leonardo Silva da; Pires, Aldrin Vieira; Bonafé, Cristina Moreira; Silva, M. A.; Pinheiro, Sandra Regina Freitas

doi:10.1590/1678-4162-7534

Cited by 14 publications

(33 citation statements)

References 10 publications

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“…A similar result was reported by Mota et al (2015), evaluating meat-type and laying-type quail from one to 35 days of age, who described that the Logistic model also presented a good adjustment quality to the data for the description of the body growth, besides of Von Bertalanffy and Gompertz models.…”

Section: Comparison Of the Quality Adjusting Of Nonlinear Models For supporting

confidence: 84%

“…In contrast to the present study, several are the authors in the literature (Mota et al, 2015;Veloso et al, 2015;Finco et al, 2016), that It wasn't recommended the use of Brody for the description of bird growth, due to low quality adjustment to the data. However, as the present work deals of data of gut length and not of weight of the variable in question, and by the increase of gut length be rapidly in the first days after the birth of the quail, It are some peculiarities that may explain this better adjustment of Brody, already that this model is not indicated to predict the live weight in the early stages of animal growth (Brody, 1945).…”

Section: Comparison Of the Quality Adjusting Of Nonlinear Models For contrasting

confidence: 62%

“…The Gompertz model was also the best in quality adjustment for meat-type (Drumond et al, 2013;Grieser et al, 2015, andMota et al, 2015) and Japanese laying-type quail (Narinc, 2010;Grieser et al, 2015;Finco et al, 2016). In this work, Gompertz also showed a good quality adjustment, standing out from the other models for the description of the organs weight and carcass parts of meat-type and laying-type quail strain.…”

Section: Comparison Of the Quality Adjusting Of Nonlinear Models For mentioning

confidence: 58%

“…On this assumption, the results found in this work are correct, since all these items were considered in the evaluation method used. However, Mota et al (2015), showed other criteria for choosing the best model to describe the growth curve of genetic groups of quail, such as, adjusted determination coefficient (R²), the asymptotic standard deviation, the average deviation absolute of the residues, the asymptotic index, the Bayesian information criterion, Akaike criterion and the mean square of the error.…”

Section: Discussionmentioning

confidence: 99%

“…Mota et al (2015) described the growth curve of genetic groups of quail, used the coefficient of determination (R²) as evaluator of the quality adjustment quality, as well as Freitas (2005) and Guimarães et al (2006). However, Paz et al (2004) states that, for non-linear models, R² is not easily defined.…”

Section: Comparison Of the Quality Adjusting Of Nonlinear Models For mentioning

confidence: 99%

See 4 more Smart Citations

Comparison of the Quality Adjusting of Nonlinear Models for Organs, Carcass and Body Components in Meat-Type (Coturnix Coturnix Coturnix) and Laying-Type (Coturnix Coturnix Japonica) Quail

Grieser

Furlan

Ribeiro

et al. 2017

Rev. Bras. Cienc. Avic.

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The objective of this study was to evaluate the adjustment quality of nonlinear models to data organs growth, carcass and body components of meat-type (Coturnix coturnix coturnix) and japanese laying-type (Coturnix coturnix japonica) quail. A total of 1350 quails from one to 42 d old were distributed in a completely randomized design, with five replicates each. To determine the organs growth (gut, heart, liver and gizzard), carcass and body components (wing, thigh and drumstick, back and breast), two quails per repetition were slaughtered weekly. The data were evaluated in function of different nonlinear models (Logistical, Brody, Richards, Von Bertalanffy and Gompertz). All models studied adjusted the data, differing in adjustment quality. Brody model showed the best description of gut length to all treatments. For the data gizzard weight, heart, liver and gut, the models that best adjusted, presenting smaller residual mean square and numbers iterations were Gompertz and Logistical. The Gompertz, Logistic and Von Bertalanffy models were the most adequate to describe the thigh and drumstick growth, back and breast, and Gompertz models and Logistic to describe the wing growth and carcass, showing lesser number of iterations to achieve the convergence of date, as well as low residual mean square and squares sums of the regression residuals. The Gompertz model was the most appropriate to describe the organs growth and body components in meat-and laying-type quail when evaluated in growth phase.

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Section: Comparison Of the Quality Adjusting Of Nonlinear Models For supporting

confidence: 84%

Section: Comparison Of the Quality Adjusting Of Nonlinear Models For contrasting

confidence: 62%

Section: Comparison Of the Quality Adjusting Of Nonlinear Models For mentioning

confidence: 58%

Section: Discussionmentioning

confidence: 99%

Section: Comparison Of the Quality Adjusting Of Nonlinear Models For mentioning

confidence: 99%

See 3 more Smart Citations

Comparison of the Quality Adjusting of Nonlinear Models for Organs, Carcass and Body Components in Meat-Type (Coturnix Coturnix Coturnix) and Laying-Type (Coturnix Coturnix Japonica) Quail

Grieser

Furlan

Ribeiro

et al. 2017

Rev. Bras. Cienc. Avic.

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Application of non-linear mixed models for modelling the quail growth curve for meat and laying

et al. 2018

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The objective of the current paper was to apply mixed models to adjust the growth curve of quail lines for meat and laying hens and present the rates of instantaneous, relative and absolute growth. A database was used with birth weight records up to the 148th day of female quail of the lines for meat and posture. The models evaluated were Brody, Von Bertalanffy, Logistic and Gompertz and the types of residues were constant, combined, proportional and exponential. The Gompertz model with the combined residue presented the best fit. Both strains present a high correlation between the parameters asymptotic weight (A) and average growth rate (k). The two strains presented a different growth profile. However, growth rates allow greater discernment of growth profiles. The meat line presented a higher growth rate (6.95 g/day) than the lineage for laying (3.65 g/day). The relative growth rate was higher for lineage for laying (0.15%) in relation to the lineage for meat (0.13%). The inflection point of both lines is on the first third of the growth curve (up to 15 days). All results suggest that changes in management or nutrition could optimize quail production.

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Growth curve mixed nonlinear models in quails

et al. 2023

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Our aim was to evaluate the use and application of different nonlinear mixed models, as well as to compare them with approach in nonlinear fixed models, for describing the growth curve of meat-type quails according to gender. A total of 15,002 and 15,408 records of males and females were used, respectively. The body weights were regressed on age of the animals using nonlinear models (Brody; Gompertz; Logistic, Morgan-Mercer-Flodin, Richards and Von Bertalanffy). All model parameters were considered fixed, whereas parameters related to asymptotic weight and maturity rate were fitted as random effects. The Bayesian Information Criterion was used to find the model of best fit. For both genders, the model that used the Morgan-Mercer-Flodin function with the inclusion of asymptotic weight as a random effect was considered the best-fitting model because it reduced the residual variance and increased the accuracy. Based on the lower absolute growth rate and growth velocity of male quails compared to that of females, it can be inferred that males should be slaughtered later. Given the results of this study, it can contribute to the current knowledge about animal yield, specifically at the best moment to slaughter and, this sense, improv the quality genetic of the populations in time.

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Crescimento de codornas de diferentes grupos genéticos por meio de modelos não lineares

Abstract: Crescimento de codornas de diferentes grupos genéticos por meio de modelos não lineares

Cited by 14 publications

References 10 publications

Comparison of the Quality Adjusting of Nonlinear Models for Organs, Carcass and Body Components in Meat-Type (Coturnix Coturnix Coturnix) and Laying-Type (Coturnix Coturnix Japonica) Quail

Comparison of the Quality Adjusting of Nonlinear Models for Organs, Carcass and Body Components in Meat-Type (Coturnix Coturnix Coturnix) and Laying-Type (Coturnix Coturnix Japonica) Quail

Application of non-linear mixed models for modelling the quail growth curve for meat and laying

Growth curve mixed nonlinear models in quails

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