Home    eJManager.com Add Your Journal   |    Follow on Twitter   |    Subscribe to List

Directory for Medical Articles
 

Open Access

-



Comparing Non-Linear Models to Describe the Growth Performance in Large White Yorkshire Pigs

Archana Kannadhasan; Selvam Seetharaman; Serma Saravana Pandian Amaresan; Sivakumar Thiagarajan; Balasubramanyam Dhakshanamoorthy; Mohamed Safiullah Abdul Hameed.

Abstract
An attempt was made to apply different nonlinear growth models to predict the best growth model for Large White Yorkshire pigs and to examine the difference in the growth pattern of male and female piglets.The data pertaining to achieve the objectives were collected between 2011 to 2016 at PGRIAS,Kattupakkam,on bodyweights at different ages of pigs with the sample size of 1226 Male and 1120 Female Large White Yorkshire pigs were included in the study. The data on body weights were plotted against the age for both males and females separately,and the shape of the curve was examined. Based on the shape of the curves,the following models were fitted to the data,viz.,Brody model, Logistic model, Gompertz model,Von Bertalanffy model,and Richard model. For non linear models,the hightest R square value,Root Mean Square Error(RMSE), Mean Absolute Error (MAE), and Mean Absolute Predicted Error (MAPE) criteria were used to determine the best fitted model. The analysis of data revealed that in male pigs the value of highest R2 (0.999)and least MAE (0.597), RMSE(1.755), MAPE(29.85) were observed in Gompertz model followed by Logistic model, Incase of female pigs the highest R2 (0.998) and least MAE (0.654), RMSE(1.130), MAPE(29.03) were seen for Gompertz model.Thus,it could be concluded that as the best fit for assessing growth of male and female Large White Yorkshire pigs.

Key words: Growth Performance;Large White Yorkshire;Non –linear model


Full text links

Share this Article




ScopeMed Home
Follow ScopeMed on Twitter
Article Tools
Job Opportunities/Service Offers
eJManager OJMS
eJPort Journal Hosting
About ScopeMed
Terms & Conditions
Privacy Policy
Suggest a Journal
Publisher Login
Contact Us

The articles in Scopemed are open access articles licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
ScopeMed is a Service of eJManager LLC Publishing for Scientific Publications. Copyright ScopeMed Information Services.
Scopemed Buttons