Curve Fitting with Nonlinear Regression and Grey Prediction Model of Broiler Growth in Chickens

Küçükönder, Hande; Demirarslan, Pınar Çelebi; Alkan, Sezai; Birgül, Özgür Barış

doi:10.17582/journal.pjz/2020.52.1.347.354

Cited by 6 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results of the current study agree with previous studies that reported that hatch and generation had a significant influence on body weight (Ghorbani et al, 2013;Prince et al, 2020;Rajkumar et al, 2021). In addition, male body weight values were higher than in female birds, which was also reported by Ghorbani et al (2013) in Fars native chickens and Kucukonder et al (2020) in broiler chickens.…”

Section: Resultssupporting

confidence: 92%

“…Parameter A is usually considered to be the point at which muscle tissue is at its maximum in terms of cell structure and accumulation (Owens et al, 1993). According to previous studies looking at the growth curve of birds, the predicted parameter A in the optimal model (Gompertz) was lower than the results of Zhao et al (2015), Selvaggi et al (2015), Yang et al (2006), and Kucukonder et al (2020). Although it was higher than values reported in naturalized chickens (Neto et al, 2020), in female Vietnamese indigenous Mia chickens (Nguyen Hoang et al, 2021), in both male and female Vietnamese Ri chickens (Nguyen et al, 2021), in native Khazak chickens (Faraji‐Arough et al, 2019), and in local chickens from Ghana (Osei‐Amponsah et al, 2014).…”

Section: Resultsmentioning

confidence: 70%

“…The variations between the models may be due to the sample sizes, breeds, and assessment processes used to determine how well each model matches the data (Nguyen Hoang et al, 2021; Zhao et al, 2015). The Gompertz model, assessed as the most suitable, was also reported in broiler chickens (Kucukonder et al, 2020) in Chinese native chickens (Liu et al, 2006), in local chickens from Ghana (Osei‐Amponsah et al, 2014), in medium‐growing chickens (Narinc et al, 2010), and in an Italian chicken breed (Selvaggi et al, 2015),) in guinea fowl (Nahashon et al, 2006),) in male Vietnamese indigenous Mia chicken (Nguyen Hoang et al, 2021), and in indigenous chicken breeds from China (Zhao et al, 2015). The variations within differences in studies to report the optimum model may be caused by a variety of factors, including the breed of birds, sex, food management, and habitat.…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of genetic parameters for production, reproduction, and growth curve of Fars indigenous chicken

Neysi

Ghaderi–Zefrehei

Rafeie

et al. 2023

Animal Science Journal

View full text Add to dashboard Cite

Iranian native chicken, including Fars indigenous chicken, is an important genetic resource due to its adaptation to stressful environmental conditions, good endurance and resistance to disease. The aim of this research was to determine the genetic infrastructure of Fars indigenous chicken using several nonlinear functions. The dataset included body weight at hatch (BW1), body weight at the 8th week (BW8), body weight at the 12th week (BW12), weight at sexual maturity (WSM), age at sexual maturity (ASM), number of eggs in the first 12 weeks of laying period (EN), egg weight at the first day of laying (EW1), average egg weight at the 28thday of laying (EW28), and average egg weight at weeks 28, 30, and 32 of the laying period (AEW). Growth models were fitted using the NLIN procedure and WOMBAT software was used to predict variance components for the best fit model parameters. Results suggested three‐parameter models, for example, Gompertz, fitted better to the data than others. The maturity weight (A), initial weight (B), and maturity rate (K) parameters in the Gompertz model were 1996.8 ± 6.63, 4.11 ± 0.03, and 0.021 ± 0.0001, respectively. The heritability of A, B, and K parameters were 0.03, 0.05, and 0.12, respectively.

show abstract

Section: Resultssupporting

confidence: 92%

Section: Resultsmentioning

confidence: 70%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of genetic parameters for production, reproduction, and growth curve of Fars indigenous chicken

Neysi

Ghaderi–Zefrehei

Rafeie

et al. 2023

Animal Science Journal

View full text Add to dashboard Cite

show abstract

“…La región caribe donde se ha reflejado el mayor crecimiento de la población ovina del país por efectos culturales, por lo que se hace necesario realizar más trabajos de investigación que demuestren con indicadores la eficiencia del recurso genético predominante en la región (ovino de pelo colombiano -OPC) para características de crecimiento y producción de carne (3). Por otra parte, desde la perspectiva y estudio de ciencia animal es importante tener en cuenta que para cada uno de los procesos fisiológicos de crecimiento animal se involucran diversos factores como el cambio de masa o volumen de un tejido u organismo en una unidad de tiempo, mejorar las características relacionadas con el crecimiento, particularmente en las actividades de producción de carne (4,5), es por ello, que se propuso como objetivo de este trabajo, describir el crecimiento en ovinos de Pelo Colombiano (OPC) mediante la utilización del modelo Richards.…”

Section: Introductionunclassified

Estimation of the growth curve in Colombian sheep using the Richards model

2024

View full text Add to dashboard Cite

Objetivo. Describir el crecimiento en ovinos de Pelo Colombiano (OPC) mediante la utilización del modelo Richards. Materiales y métodos. Se obtuvieron 2.086 registros procedente de pesajes realizados cada 30 días en ovinos OPC desde el nacimiento hasta el sacrificio, con destete a los 90 días, adicional se tuvo en cuenta el sexo (S), tipo de parto (TP) y la época de nacimiento (Época) de los animales. Los datos fueron analizados con el modelo Richards utilizando el procedimiento NLIN del SAS. Resultados. La estimación del peso asintótico indicado por el parámetro A para los machos fue 7.8 kg superior al de las hembras; en el TP este mismo parámetro indico un 22% de superioridad entre los nacimientos simples y múltiples, por último, en la variable Eponac los pesajes de mejor valor correspondieron a la época de lluvia con 5 Kg más que los animales nacidos en época seca. Para el parámetro K los valores de referencia oscilan entre 0.001 y 0.004 en las variables S, TP y Eponac; al igual que la correlación entre los parámetros A y K los valores se encuentran entre -0.98 y -0.99 en todas las variables estudiadas. Conclusiones. El modelo Richards explico el desarrollo de los animales y permitió observar el efecto de las variables S, TP y Eponac evidenciando en cada una de estas un crecimiento lento, pero con pesos altos a la madurez.

show abstract

“…The production of animals with higher growth rates is necessary to fulfil the increasing need for animal protein in the human diet. Growth of an animal is defined as the increase in size or volume of tissues over time [ 1 , 2 ]. The growth rate in farm animals can be improved through planned breeding based on genetic selection [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Environmental Effects and Genetic Parameters for Growth Traits of Lohi Sheep

Sharif

Ali

Dawood

et al. 2022

Animals

View full text Add to dashboard Cite

Estimating genetic parameters for growth traits is crucial to plan breeding strategies for improving meat production in indigenous sheep breeds. The study first tested the effects of environmental and maternal effects on five growth traits, including birth weight (BWT), weight at 120 days (WT120), weight at 180 days (WT180), weight at 270 days (WT270) and weight at 365 days of age (WT365) and then estimated genetic parameters for these traits using data obtained in 1215 Lohi sheep. The effects of factors, including year (YOB), season (SOB) and type of birth (TOB), age of dam (AOD) and sex on growth traits of Lohi sheep, were examined using analysis of variance (ANOVA) in R software. Sex, TOB and YOB significantly affected all studied traits. The estimates of direct and maternal heritability for BWT and WT120 were 0.15 ± 0.08 and 0.20 ± 0.06, and 0.45 ± 0.16, 0.21 ± 0.08, respectively. The direct heritability estimates for WT180, WT270 and WT365 were 0.20 ± 0.07, 0.21 ± 0.07 and 0.19 ± 0.08, respectively. Due to the high heritability estimate obtained for WT120 compared to other studied traits, and its strong genetic correlation (>0.9) with post-weaning growth traits, it is recommended that selection must be practiced on WT120 to improve the growth performance of Lohi sheep. The results could be used for the development of genetic/genomic selection programs aiming to improve the production performance of the Lohi sheep.

show abstract

Curve Fitting with Nonlinear Regression and Grey Prediction Model of Broiler Growth in Chickens

Cited by 6 publications

References 10 publications

Estimation of genetic parameters for production, reproduction, and growth curve of Fars indigenous chicken

Estimation of genetic parameters for production, reproduction, and growth curve of Fars indigenous chicken

Estimation of the growth curve in Colombian sheep using the Richards model

Environmental Effects and Genetic Parameters for Growth Traits of Lohi Sheep

Contact Info

Product

Resources

About