Regression tree analysis for predicting slaughter weight in broilers
In this study, Regression Tree Analysis (RTA) was used to predict and to determine the most important variables in predicting the slaughter weight of Ross 308 broiler chickens. Data for this study came from 224 chickens raised during three different seasons, namely spring (n=66), summer (n=66), wint...
Main Authors: | Erkut Akkartal, Mehmet Mendeş |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2010-01-01
|
Series: | Italian Journal of Animal Science |
Subjects: | |
Online Access: | http://www.aspajournal.it/index.php/ijas/article/view/100 |
Similar Items
-
Application of Regression Tree Methodology in Predicting the Body Weight of Uda Sheep
by: Abdulmojeed Yakubu
Published: (2012-10-01) -
Correlation between body weight before slaughter and slaughter yields broiler carcasses of different lines
by: Pandurević Tatjana, et al.
Published: (2014-01-01) -
The Impacts of U.S. Horse Slaughter Plant Closures on a Western Regional Horse Market
by: Mykel Taylor, et al.
Published: (2013-04-01) -
Prediction of egg weight from egg quality characteristics via ridge regression and regression tree methods
by: Hikmet Orhan, et al. -
Effect of slaughter weight on slaughter performance of a native swine breed AND#8220;GhungrooAND#8221; of DuarsAND#8217; Valley and allied zone
by: Anupam Khan, et al.
Published: (2010-01-01)