Estimation and Comparison of Growth Curve in Broilers Through the Artificial Neural Networks and Gompertz Models

Emine BERBEROĞLU; Nagihan ÖZKAN

doi:https://doi.org/10.13002/jafag4696

Article Details

Estimation and Comparison of Growth Curve in Broilers Through the Artificial Neural Networks and Gompertz Models

Authors:

Emine BERBEROĞLU | Nagihan ÖZKAN

Publisher:

Tokat Gaziosmanpasa University

Journal:

Journal of Agricultural Faculty of Gaziosmanpaşa University (JAFAG) 2020 Vol.37 Issue 2, pp.68-76

Document Type:

Article

Publication Date:

8/2020

Document Language:

English

Document ID (Org No.):

2000449005

Frequency:

Tri-annual

eISSN:

2147-8848

pISSN:

1300-2910

DOI:

https://doi.org/10.13002/jafag4696

Abstract:

 

Mathematical models offer great convenience in estimating the variation in the growth of the living. The time-dependent change in weight and body sizes of the organism can be estimated easily via mathematical models. In this study, the growth curves of Ross 308 broilers compared through the Gompertz model, which explains growth best and the ANN model, which is assumed to be an alternative to this model. The model with high-estimated R² and low-estimated MSE, MAD, and MAPE values considered as the best model.  The criteria obtained from the ANN and Gompertz models are 5625 and 2950 for MSE; 0.27, and 0.17 for MAPE; 0.5 and 1.2 for MAD, respectively while R² values were observed as 0.99 in both models. MSE and MAPE values were observed lower compared to the Gompertz model.

 


Canlının büyümesindeki değişimin tahminlenmesinde matematiksel modeller büyük kolaylıklar sağlamaktadır. Canlının ağırlık ve vücut ölçülerindeki zamana bağlı değişiminin tahmini matematiksel modeller ile kolay şekilde yapılabilmektedir. Çalışmada Ross 308 etlik piliçlerinin büyüme eğrileri, büyümeyi en iyi açıklayan Gompertz modeli ile bu modele alternatif olabileceği düşünülen YSA modeli karşılaştırılmıştır. R²’sı yüksek; HKO, OMS ve OMYH değerleri düşük tahminlenen model en iyi model olarak dikkate alınmıştır.  YSA ve Gompertz modelinden elde edilen kriterler sırasıyla HKO için 5625ve 2950; OMYH için 0.27 ve 0.17; OMS değerleri ise 0.5 ve 1.2; R² değerleri ise her iki model için de 0.99 olarak gözlenmiştir. HKO ve OMYH değerleri Gompertz modeline göre daha düşük olarak gözlenmiştir. 

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Article Details

Estimation and Comparison of Growth Curve in Broilers Through the Artificial Neural Networks and Gompertz Models

Authors: Emine BERBEROĞLU | Nagihan ÖZKAN

Publisher: Tokat Gaziosmanpasa University

Journal: Journal of Agricultural Faculty of Gaziosmanpaşa University (JAFAG) 2020 Vol.37 Issue 2, pp.68-76

Document Type: Article

Publication Date: 8/2020

Document Language: English

Document ID (Org No.): 2000449005

Frequency: Tri-annual

eISSN: 2147-8848

pISSN: 1300-2910

DOI: https://doi.org/10.13002/jafag4696

Issues

Authors:

Emine BERBEROĞLU | Nagihan ÖZKAN

Publisher:

Tokat Gaziosmanpasa University

Journal:

Journal of Agricultural Faculty of Gaziosmanpaşa University (JAFAG) 2020 Vol.37 Issue 2, pp.68-76

Document Type:

Article

Publication Date:

8/2020

Document Language:

English

Document ID (Org No.):

2000449005

Frequency:

Tri-annual

eISSN:

2147-8848

pISSN:

1300-2910

DOI:

https://doi.org/10.13002/jafag4696