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Comparing predictive performances of some nonlinear functions and multivariate adaptive regression splines (MARS) for describing the growth of Daera Din Panah (DDP) goat in Pakistan.

Author(s)
Senol Celik Bingol University, Agricultural Faculty, Department of Animal Science,Bingol,Turkey
Ecevit Eyduran Igdir University, Agricultural Faculty, Department of Animal Science,Igdir,Turkey
Adile Tatliyer Sutcu Imam University, Faculty of Agriculture, Department of Animal Science,Kahramanmaras,Turkey
Koksal Karadas Igdir University, Agricultural Faculty, Department of Agricultural Economics,Igdir,Turkey
Mehmet Kazim Kara Igdir University, Agricultural Faculty, Department of Animal Science,Igdir,Turkey
Abdul Waheed Bahauddin Zakariya University, Faculty of Veterinary Sciences, Department of Livestock and Poultry Production,Multan,Pakistan
Abstract
This study was conducted to evaluate the most suitable nonlinear functions amongst Morgan-Mercer- Flodin (MMF), Logistic, Von-Bertalanffy and Janosheck models, based on monthly records of body weight from birth to 1 year in Daera Din Panah (DDP) goat. Based on coefficient of determination (R2), adjusted coefficient of determination (R2ADJUSTED) and root mean square error (RMSE) were used. Janosheck model was chosen as the most appropriate model for its highest R2 (0.999) and smallest RMSE (0.124). Growth related parameters (A, B, k, and d) of the Janoscheck non-linear model were estimated as 43.000, 0.905, 0.124 and 0.950, respectively. To conclude, it could be suggested that the Janoscheck non-linear model might help breeders who aim to make precise decisions on optimum slaughtering time and to ensure suitable managerial conditions in DDP goat.
Publication Details
Page(s) 1187-1190
Published Journal: Pakistan Journal of Zoology, Volume: 50, Issue: 3, Year: 2018

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Keywords
body weight, nonlinear function, DDP goat
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