scholarly journals Growth curves in meat-type and laying quail: a Bayesian perspective

2017 ◽  
Vol 38 (4Supl1) ◽  
pp. 2743
Author(s):  
Robson Marcelo Rossi ◽  
Daiane De Oliveira Grieser ◽  
Vagner De Almeida Conselvan ◽  
Simara Márcia Marcato
Keyword(s):  
Body Weight ◽  
Bayesian Approach ◽  
Goodness Of Fit ◽  
Nonlinear Models ◽  
Growth Curves ◽  
Gompertz Model ◽  
Body Growth ◽  
Coturnix Coturnix ◽  
Body Weight Data ◽  
Meat Type

The aim of this study was to assess the goodness of fit for nonlinear models, using the best model to describe body growth curves, comparing the parameters obtained for gender and one meat-type (Coturnix coturnix coturnix) and two laying (Coturnix coturnix japonica) quail strains, as well as nesting via MCMC (Markov chain Monte Carlo processes) methods under a Bayesian approach. A total of 1,350 one-day-old mixed quail were used: 400 of meat-type, 450 of yellow laying, and 500 of red laying strains distributed in a completely randomized design with three treatments (each treatment corresponded to one strain) and five replications. The experimental period consisted of 1 to 42 days of age. At 21 days of age, quail sexing was performed by means of sexual dimorphism, being individually identified at one day of age with numbered rings, allowing determining growth curves by gender. Birds were reared in a conventional system, fed ad libitum with diets formulated to meet nutritional requirements. Body weight was determined weekly and assessed using nonlinear models: Logistic, Brody, Von Bertalanffy, and Gompertz, whose parameters were estimated under a Bayesian approach via MCMC algorithm by means of BRugs package from the software R. DIC (Deviance Information Criterion) criterion was used to select the best nonlinear model, i.e. the lower the DIC value is, the better the model goodness of fit to the data. Gompertz model was better adjusted to the data regardless the gender or strain. Meat-type quail had the highest asymptotic weights and the highest age at which growth rate was maximum, followed by red and yellow strains. All nestings presented significant differences (p < 0.05) between gender for contrasted parameters. Meat-type, yellow, and red females presented values significantly (p < 0.05) higher for asymptotic weight (370, 203, and 215 g, respectively) when compared to males (274, 131, and 143 g, respectively), which were earlier in body growth. Gompertz model was better adjusted to body weight data of quail regardless the gender or strain and the Bayesian approach allowed obtaining accurate estimations. Meat-type strain presented the highest body asymptotic weight, followed by red and yellow laying strains. Females presented higher asymptotic weight than that found for males of their respective strains but were later in growth.

scholarly journals Growth curves in meat-type and laying quail: a Bayesian perspective

2017 ◽  
Vol 38 (4Supl1) ◽  
pp. 2743 ◽  
Author(s):  
Robson Marcelo Rossi ◽  
Daiane De Oliveira Grieser ◽  
Vagner De Almeida Conselvan ◽  
Simara Márcia Marcato
Keyword(s):  
Body Weight ◽  
Bayesian Approach ◽  
Goodness Of Fit ◽  
Nonlinear Models ◽  
Growth Curves ◽  
Gompertz Model ◽  
Body Growth ◽  
Coturnix Coturnix ◽  
Body Weight Data ◽  
Meat Type

The aim of this study was to assess the goodness of fit for nonlinear models, using the best model to describe body growth curves, comparing the parameters obtained for gender and one meat-type (Coturnix coturnix coturnix) and two laying (Coturnix coturnix japonica) quail strains, as well as nesting via MCMC (Markov chain Monte Carlo processes) methods under a Bayesian approach. A total of 1,350 one-day-old mixed quail were used: 400 of meat-type, 450 of yellow laying, and 500 of red laying strains distributed in a completely randomized design with three treatments (each treatment corresponded to one strain) and five replications. The experimental period consisted of 1 to 42 days of age. At 21 days of age, quail sexing was performed by means of sexual dimorphism, being individually identified at one day of age with numbered rings, allowing determining growth curves by gender. Birds were reared in a conventional system, fed ad libitum with diets formulated to meet nutritional requirements. Body weight was determined weekly and assessed using nonlinear models: Logistic, Brody, Von Bertalanffy, and Gompertz, whose parameters were estimated under a Bayesian approach via MCMC algorithm by means of BRugs package from the software R. DIC (Deviance Information Criterion) criterion was used to select the best nonlinear model, i.e. the lower the DIC value is, the better the model goodness of fit to the data. Gompertz model was better adjusted to the data regardless the gender or strain. Meat-type quail had the highest asymptotic weights and the highest age at which growth rate was maximum, followed by red and yellow strains. All nestings presented significant differences (p < 0.05) between gender for contrasted parameters. Meat-type, yellow, and red females presented values significantly (p < 0.05) higher for asymptotic weight (370, 203, and 215 g, respectively) when compared to males (274, 131, and 143 g, respectively), which were earlier in body growth. Gompertz model was better adjusted to body weight data of quail regardless the gender or strain and the Bayesian approach allowed obtaining accurate estimations. Meat-type strain presented the highest body asymptotic weight, followed by red and yellow laying strains. Females presented higher asymptotic weight than that found for males of their respective strains but were later in growth.

scholarly journals Choice of non-linear models to determine the growth curve of meat-type quail

2021 ◽  
Vol 51 (2) ◽  
Author(s):  
Marta Jeidjane Borges Ribeiro ◽  
Fabyano Fonseca Silva ◽  
Maíse dos Santos Macário ◽  
José Aparecido Santos de Jesus ◽  
Claudson Oliveira Brito ◽  
...  
Keyword(s):  
Goodness Of Fit ◽  
Linear Models ◽  
Growth Curves ◽  
Information Criterion ◽  
Metabolizable Energy ◽  
Coefficient Of Determination ◽  
Parameter Estimates ◽  
Coturnix Coturnix ◽  
Non Linear ◽  
Meat Type

ABSTRACT: The objective of this study was to compare non-linear models fitted to the growth curves of quail to determine which model best describes their growth and check the similarity between models by analyzing parameter estimates.Weight and age data of meat-type European quail (Coturnix coturnix coturnix) of three lines were used, from an experiment in a 2 × 4 factorial arrangement in a completely randomized design, consisting of two metabolizable energy levels, four crude protein levels and six replicates. The non-linear Brody, Von Bertalanffy, Richards, Logistic and Gompertz models were used. To choose the best model, the Adjusted Coefficient of Determination, Convergence Rate, Residual Mean Square, Durbin-Watson Test, Akaike Information Criterion and Bayesian Information Criterion were applied as goodness-of-fit indicators. Cluster analysis was performed to check the similarity between models based on the mean parameter estimates. Among the studied models, Richards’ was the most suitable to describe the growth curves. The Logistic and Richards models were considered similar in the analysis with no distinction of lines as well as in the analyses of Lines 1, 2 and 3.

scholarly journals Nonlinear models of Brazilian sheep in adjustment of growth curves

2018 ◽  
Vol 63 (No. 8) ◽  
pp. 331-338 ◽  
Author(s):  
Paz Claudia Cristina Paro de ◽  
Venturini Guilherme Costa ◽  
Contini Enio ◽  
Costa Ricardo Lopes Dias da ◽  
Lameirinha Luara Paula ◽  
...  
Keyword(s):  
Body Weight ◽  
Repeated Measures ◽  
Nonlinear Models ◽  
Logistic Models ◽  
Growth Curves ◽  
Gompertz Model ◽  
Linear Quadratic ◽  
Significant Difference ◽  
Biological Interpretation ◽  
Males And Females

Growth curves of the Morada Nova sheep males and females were described using nonlinear models and the relationships between body weight and thoracic circumference were evaluated. Altogether 1516 repeated measures of body weight and thoracic circumference of the Morada Nova sheep (668 males and 848 females) taken since birth till 730 days of age were used. The Brody, Richards, von Bertalanffy, Gompertz, and Logistic models have been tested. The Fisher’s test (F) was used to verify the differences (P &lt; 0.05) in growth curves between males and females. The Gompertz model presented a significant difference (P &lt; 0.001) for growth curve parameters between males (asymptotic weight (A) = 40.5 kg and maturing rate (k) = 0.0043 kg/day) and females (A = 36.44 kg and k = 0.0028 kg/day). The relationships between body weight and thoracic circumference presented R<sup>2</sup> above 0.7 and a high significance (P &lt; 0.0001) for all categories, showing that the thoracic circumference may be a good indicator of body weight. In addition, a significant effect (P &lt; 0.05) of the relationship between thoracic circumference and prediction of animal’s body weight was verified using the models of linear, quadratic, and cubic regression. Among the models studied, the Gompertz model presented the best fit and biological interpretation. Furthermore, the Gompertz model indicated the need to separate animals by sex in order to properly meet nutritional requirements and determine adequate slaughter age. Thoracic circumference can be used to predict animal body weight with a high accuracy.

scholarly journals Quantifying growth perturbations over the fattening period in swine via mathematical modelling

2020 ◽  
Author(s):  
Manuel Revilla ◽  
Guillaume Lenoir ◽  
Loïc Flatres-Grall ◽  
Rafael Muñoz-Tamayo ◽  
Nicolas C Friggens
Keyword(s):  
Body Weight ◽  
Mathematical Modelling ◽  
New Technologies ◽  
Growth Curves ◽  
Gompertz Model ◽  
Livestock Farming ◽  
Body Weight Data ◽  
Longitudinal Data Collection ◽  
Resilience Index ◽  
Fattening Period

AbstractBackgroundResilience can be defined as the capacity of animals to cope with short-term perturbations in their environment and return rapidly to their pre-challenge status. In a perspective of precision livestock farming, it is key to create informative indicators for general resilience and therefore incorporate this concept in breeding goals. In the modern swine breeding industry, new technologies such as automatic feeding system are increasingly common and can be used to capture useful data to monitor animal phenotypes such as feed efficiency. This automatic and longitudinal data collection integrated with mathematical modelling has a great potential to determine accurate resilience indicators, for example by measuring the deviation from expected production levels over a period of time.ResultsThis work aimed at developing a modelling approach for facilitating the quantification of pig resilience during the fattening period. A total of 13 093 pigs, belonging to three different genetic lines were monitored, and body weight measures registered with automatic feeding systems. We used the Gompertz model and linear interpolation on body weight data to quantify individual deviations from expected production, thereby creating a resilience index. The approach was able to quantify different degrees of perturbation. Further, we evaluated the heritability of the resilience index in the different lines analyzed.ConclusionsOur model-based approach can be useful to quantify pig responses to perturbations using exclusively the growth curves and should contribute to the improvement of swine productive performance.

scholarly journals Sigmoid Models for the Growth Curves in Medium-Growing Meat Type Chickens, Raised under Semi-Confined Conditions

2016 ◽  
Vol 16 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Monika Michalczuk ◽  
Krzysztof Damaziak ◽  
Antoni Goryl
Keyword(s):  
Standard Error ◽  
Logistic Model ◽  
Growth Curves ◽  
Gompertz Model ◽  
Richards Model ◽  
Comparison Of Results ◽  
The Mean ◽  
Two Peaks ◽  
Growth Deceleration ◽  
Meat Type

Abstract The study analyzed the growth of medium-growing chickens of the CCGP experimental line, using Gompertz, Logistic, and Richards models as well as body gain curves. The birds were reared until 9 wk of age. To fit BW values to the applied models, determination coefficients (R2,Ř2) and standard error of the mean (±SE) were calculated for 487 male and 493 female chickens. The comparison of results obtained demonstrated the Gompertz model to be the most precise equation to describe the growth of both sexes of CCGP chickens, though in all examined models the determination coefficients were approximating 99%. According to the Gompertz model, the chickens may reach the maximum BW at the age of 16 wk (5900 g - males and 4000 g - females), whereas the maximum daily BW gain - on day 47 (69.0 g) in males and on day 41 (50.0 g) in females. Values achieved in the Logistic model were the most diverging from the values obtained with other models, whereas the Richards model may be successfully applied to estimate BW of chickens. Females were reaching the maximum BW gains earlier, but the curve of their BW gain was proceeding with two peaks (at ca. 4 wk - 313.09 g/wk and at 6 wk - 327.59 g/wk), which was probably due to partial growth deceleration as a result of allowing the birds to use free ranges on day 14. In the case of males, the maximum BW gain (727.35 g/wk) was reached at 6.2 wk.

scholarly journals Digestible methionine + cysteine: lysine ratios for growing meat-type quails

2018 ◽  
Vol 48 (6) ◽  
Author(s):  
Mariana Resende de Castro ◽  
Sandra Regina Freitas Pinheiro ◽  
Jéssica Amaral Miranda ◽  
Leonardo da Silva Costa ◽  
Graziela Maria de Freitas Rocha ◽  
...  
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Glutamic Acid ◽  
Feed Intake ◽  
Body Weight Gain ◽  
Feed Conversion ◽  
Linear Effect ◽  
Coturnix Coturnix ◽  
Meat Type ◽  
Basal Ration

ABSTRACT: The objective was to estimate the most appropriate digestible methionine + cysteine:lysine ratios for growing meat-type quails (Coturnix coturnix) from 1 to 21 days of age. Quails were fed with a basal ration deficient in digestible methionine + cysteine, with five levels of DL-methionine, in substitution of glutamic acid and starch, resulting in digestible methionine + cysteine:lysine ratios of 0.61, 0.66, 0.71, 0.76 and 0.81. Feed and methionine + cysteine intake, body weight gain, feed conversion and uniformity were assessed. From 1 to 7 days, an increasing linear effect was observed for feed and methionine + cysteine intake, body weight gain, and uniformity, and a linear decrease for feed conversion. From 8 to 14 days, the 0.70 methionine + cysteine: lysine ratio was the best for feed intake and body weight gain, and for uniformity, the 0.75 methionine + cysteine:lysine ratio was the most appropriate. For methionine + cysteine intake and feed conversion, an increasing and decreasing linear adjustment was observed, respectively. From 15 to 21 days, an increasing linear effect was observed for feed and methionine + cysteine intake and body weight gain; a decreasing linear effect was observed for feed conversion. The 0.81 ratio was the most efficient for feed conversion during all evaluated experimental periods. In conclusion, the 0.81 dietary methionine + cysteine:lysine ratio is the most appropriate for meat-type quails during the first 21 days of age.

scholarly journals Sigmoid growth curves, a new approach to study the dynamics of the epicotyl emergence of oak

2019 ◽  
Vol 61 (1) ◽  
pp. 30-41
Author(s):  
Joanna Ukalska ◽  
Szymon Jastrzębowski
Keyword(s):  
Growth Curve ◽  
Goodness Of Fit ◽  
Nonlinear Models ◽  
Germination Rate ◽  
Growth Curves ◽  
Model Parameters ◽  
Residual Variance ◽  
Nonlinear Behaviour ◽  
Pedunculate Oak ◽  
Growth Phenomenon

Abstract Three of the most frequently used sigmoidal growth curves from the Richards family are the logistic model, Gompertz model and Richards model. They are used in the analysis of organismal growth over time in many disciplines/studies and were proposed in many parameterisations. Choosing the right parameterisation is not easy. The correct parameterisation of the model should take into account such parameters that are useful to describe the analysed growth phenomenon and are biologically relevant without additional calculations. In addition, each parameter of the model only affects one shape characteristic of each growth curve, which makes it possible to determine standard errors and confidence intervals using statistical software. Growth curves in germination dynamics studies should provide information on topics such as the length of the lag in onset of germination, the maximum germination rate and, when it occurs, the time at which 50% of seeds will germinate and the final germination proportion. In this article, we present three parameterisations of the logistic, Gompertz and Richards models and indicate two parameterisations for each model, corresponding to the above-mentioned issues. Our proposition is parameterisation by taking into account the maximum absolute growth rate. Parameterisations indicated as useful for germination dynamics are characterised by the fact that each parameter has the same meaning in every model, so its estimates can be compared directly amongst the models. We also discussed the goodness-of-fit measures for nonlinear models and in particular measures of nonlinear behaviour of a model’s individual parameters as well as overall measures of nonlinearity. All described models were used to study the dynamics of the epicotyl emergence of pedunculate oak. After checking the close-to-linear behaviour of the studied model parameters and by taking into account the criteria of model selection (AICc of each growth curve and the residual variance [RV]), the best model describing the dynamics of epicotyl appearance of pedunculate oak was the Richards curve.

scholarly journals Comparative Production Performances of Different Types of Quail (Coturnix coturnix japonica)

2015 ◽  
Vol 12 (2) ◽  
pp. 151-155 ◽  
Author(s):  
M S Islam ◽  
S Faruque ◽  
H Khatun ◽  
M N Islam
Keyword(s):  
Body Weight ◽  
Coturnix Japonica ◽  
Coturnix Coturnix Japonica ◽  
Egg Weight ◽  
Coturnix Coturnix ◽  
Breeding Research ◽  
Body Weights ◽  
Egg Number ◽  
Different Types ◽  
Meat Type

A study was conducted with four types of quail named Japanese (J), White (W), Black (BL) and Brown (Br) quail in BLRI, Savar, Dhaka to understand their productive and reproductive performances. A total of 1953 day-old chicks of quails were produced in successive two hatches. The highest fertility and hatchability were observed in White (98.13%) and Japanese (73.20%) types compared to their counterparts. White quail was significantly better for egg weight and chick weight than other the three types. The 5th week body weights were 117.94 ± 10.70, 114.71 ± 11.13, 98.28±9.69 and 107.24±8.98 g, respectively for W, Br, J and Bl. Significantly higher body weight was found in W and Br followed by Bl and J quail at different ages. The total number of eggs upto 24th week of age was 81.23 ± 0.67, 83.05 ± 0.69, 90.52± 0.56, and 93.31 ± 1.05 respectively, for W, Br, J and Bl and these significantly (p<0.001) differed among all genotypes. It may be concluded from the present findings that the performances of W and Bl quail were superior for body weight and egg number, respectively to the others. These findings give us more impetus for continuing the quail breeding research for producing a suitable meat type quail or egg type quail in the country.The Agriculturists 2014; 12(2) 151-155

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