Title: Using factor scores in multiple linear regression model for predicting the carcass weight of broiler chickens using body measurements
Abstract: Information on the relationships among pre- and post-slaughter traits of broiler chickens is valuable to poultry farmers and
researchers as it allows early selection, as well as giving a chance to make an early evaluation of the breeding programme.
In this study, factor and multiple regression analysis were combined to examine the relationship between carcass weight and
six body measurements (live weight, body length, breast circumference, thigh circumference, shank length and wing length)
of 8-week old Arbor Acre broiler chickens in a sub-humid environment of Nigeria. In the varimax rotated factor analysis,
two factors were extracted which explained 87.53% of the total variability in the body measurements of chickens. The first
factor, termed Form Factor, had its loadings for body weight, body length, breast circumference and thigh circumference
respectively. The second factor was characterised by shank length and wing length, and was thus referred to as Length
Factor. These two factors together accounted for 84.50% of the variation in carcass weight when their scores were
considered as independent variables in the fitted multiple linear regression equation.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 23
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot