Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions

Firas Rashad Al-Samarai

doi:doi:10.11648/j.ajasr.20150102.11

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Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions

Firas Rashad Al-Samarai

Published in American Journal of Applied Scientific Research (Volume 1, Issue 2)

Received: 25 September 2015 Accepted: 6 October 2015 Published: 14 October 2015

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Abstract

This study was carried out to identify the better function that fit the growth curve in broiler depending on some criteria [coefficient of determination (R²), Adjusted R² and mean square error (MSE)]. Eighty day-old unsexed broiler chicks (Ross 308) were used in this study for the period from 6/4/2015 to 17/5/2015. The growth data of broiler through 6^th weeks were subjected to three nonlinear functions (Weighted Least Square (WLS), Gompertz, and Logistic). Results revealed that the WLS function was the best for fitting the growth curve in the broiler as compared with the two functions. The estimated values of asymptotic weight (β₀), the integration constant (β₁) and maturity rate (β₂) parameters according to WLS model were 2088, -3.68 and 0.14 respectively. In conclusion: The results confirmed that WLS function was more appropriate to describe the growth curve in the broiler (Ross 308) as compared with other functions.

Published in	American Journal of Applied Scientific Research (Volume 1, Issue 2)
DOI	10.11648/j.ajasr.20150102.11
Page(s)	6-9
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Growth curve, nonlinear functions, broiler

References

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APA Style

Firas Rashad Al-Samarai. (2015). Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions. American Journal of Applied Scientific Research, 1(2), 6-9. https://doi.org/10.11648/j.ajasr.20150102.11

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ACS Style

Firas Rashad Al-Samarai. Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions. Am. J. Appl. Sci. Res. 2015, 1(2), 6-9. doi: 10.11648/j.ajasr.20150102.11

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AMA Style

Firas Rashad Al-Samarai. Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions. Am J Appl Sci Res. 2015;1(2):6-9. doi: 10.11648/j.ajasr.20150102.11

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@article{10.11648/j.ajasr.20150102.11,
  author = {Firas Rashad Al-Samarai},
  title = {Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions},
  journal = {American Journal of Applied Scientific Research},
  volume = {1},
  number = {2},
  pages = {6-9},
  doi = {10.11648/j.ajasr.20150102.11},
  url = {https://doi.org/10.11648/j.ajasr.20150102.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajasr.20150102.11},
  abstract = {This study was carried out to identify the better function that fit the growth curve in broiler depending on some criteria [coefficient of determination (R2), Adjusted R2 and  mean square error (MSE)]. Eighty day-old unsexed broiler chicks (Ross 308) were used in this study for the period from 6/4/2015 to 17/5/2015. The growth data of broiler through 6th weeks were subjected to three nonlinear functions (Weighted Least Square (WLS), Gompertz, and Logistic). Results revealed that the WLS function was the best for fitting the growth curve in the broiler as compared with the two functions. The estimated values of asymptotic weight (β0), the integration constant (β1) and maturity rate (β2) parameters according to WLS model were 2088, -3.68 and 0.14 respectively. In conclusion: The results confirmed that WLS function was more appropriate to describe the growth curve in the broiler (Ross 308) as compared with other functions.},
 year = {2015}
}

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TY  - JOUR
T1  - Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions
AU  - Firas Rashad Al-Samarai
Y1  - 2015/10/14
PY  - 2015
N1  - https://doi.org/10.11648/j.ajasr.20150102.11
DO  - 10.11648/j.ajasr.20150102.11
T2  - American Journal of Applied Scientific Research
JF  - American Journal of Applied Scientific Research
JO  - American Journal of Applied Scientific Research
SP  - 6
EP  - 9
PB  - Science Publishing Group
SN  - 2471-9730
UR  - https://doi.org/10.11648/j.ajasr.20150102.11
AB  - This study was carried out to identify the better function that fit the growth curve in broiler depending on some criteria [coefficient of determination (R2), Adjusted R2 and  mean square error (MSE)]. Eighty day-old unsexed broiler chicks (Ross 308) were used in this study for the period from 6/4/2015 to 17/5/2015. The growth data of broiler through 6th weeks were subjected to three nonlinear functions (Weighted Least Square (WLS), Gompertz, and Logistic). Results revealed that the WLS function was the best for fitting the growth curve in the broiler as compared with the two functions. The estimated values of asymptotic weight (β0), the integration constant (β1) and maturity rate (β2) parameters according to WLS model were 2088, -3.68 and 0.14 respectively. In conclusion: The results confirmed that WLS function was more appropriate to describe the growth curve in the broiler (Ross 308) as compared with other functions.
VL  - 1
IS  - 2
ER  -

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Author Information

Firas Rashad Al-Samarai

Department of Veterinary Public Health, College of Veterinary Medicine, University of Baghdad, Baghdad, Iraq

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APA Style

Firas Rashad Al-Samarai. (2015). Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions. American Journal of Applied Scientific Research, 1(2), 6-9. https://doi.org/10.11648/j.ajasr.20150102.11

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ACS Style

Firas Rashad Al-Samarai. Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions. Am. J. Appl. Sci. Res. 2015, 1(2), 6-9. doi: 10.11648/j.ajasr.20150102.11

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AMA Style

Firas Rashad Al-Samarai. Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions. Am J Appl Sci Res. 2015;1(2):6-9. doi: 10.11648/j.ajasr.20150102.11

Copy | Download

@article{10.11648/j.ajasr.20150102.11,
  author = {Firas Rashad Al-Samarai},
  title = {Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions},
  journal = {American Journal of Applied Scientific Research},
  volume = {1},
  number = {2},
  pages = {6-9},
  doi = {10.11648/j.ajasr.20150102.11},
  url = {https://doi.org/10.11648/j.ajasr.20150102.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajasr.20150102.11},
  abstract = {This study was carried out to identify the better function that fit the growth curve in broiler depending on some criteria [coefficient of determination (R2), Adjusted R2 and  mean square error (MSE)]. Eighty day-old unsexed broiler chicks (Ross 308) were used in this study for the period from 6/4/2015 to 17/5/2015. The growth data of broiler through 6th weeks were subjected to three nonlinear functions (Weighted Least Square (WLS), Gompertz, and Logistic). Results revealed that the WLS function was the best for fitting the growth curve in the broiler as compared with the two functions. The estimated values of asymptotic weight (β0), the integration constant (β1) and maturity rate (β2) parameters according to WLS model were 2088, -3.68 and 0.14 respectively. In conclusion: The results confirmed that WLS function was more appropriate to describe the growth curve in the broiler (Ross 308) as compared with other functions.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions
AU  - Firas Rashad Al-Samarai
Y1  - 2015/10/14
PY  - 2015
N1  - https://doi.org/10.11648/j.ajasr.20150102.11
DO  - 10.11648/j.ajasr.20150102.11
T2  - American Journal of Applied Scientific Research
JF  - American Journal of Applied Scientific Research
JO  - American Journal of Applied Scientific Research
SP  - 6
EP  - 9
PB  - Science Publishing Group
SN  - 2471-9730
UR  - https://doi.org/10.11648/j.ajasr.20150102.11
AB  - This study was carried out to identify the better function that fit the growth curve in broiler depending on some criteria [coefficient of determination (R2), Adjusted R2 and  mean square error (MSE)]. Eighty day-old unsexed broiler chicks (Ross 308) were used in this study for the period from 6/4/2015 to 17/5/2015. The growth data of broiler through 6th weeks were subjected to three nonlinear functions (Weighted Least Square (WLS), Gompertz, and Logistic). Results revealed that the WLS function was the best for fitting the growth curve in the broiler as compared with the two functions. The estimated values of asymptotic weight (β0), the integration constant (β1) and maturity rate (β2) parameters according to WLS model were 2088, -3.68 and 0.14 respectively. In conclusion: The results confirmed that WLS function was more appropriate to describe the growth curve in the broiler (Ross 308) as compared with other functions.
VL  - 1
IS  - 2
ER  -

Copy | Download