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International Journal of Poultry Science

.: Home > International Journal of Poultry Science > 2009 > Volume 8 Number 11 > D.M. Ogah1, A.A. Alaga2 and M.O. Momoh3

Use of Factor Analysis Scores in Multiple Regression Model for Estimation of Body Weight from Some Body Measurement in Muscovy Duck

D.M. Ogah1, A.A. Alaga2 and M.O. Momoh3
1Department of Animal Science, College of Agriculture, Lafia, Nasarawa State, Nigeria 2Department of Pathology and Microbiology, College of Veterinary Medicine, University of Agriculture, Makurdi, Benue State, Nigeria 3Department of Animal Breeding and Physiology, College of Animal Science, University of Agriculture, Makurdi, Benue State, Nigeria
Abstract :

Factor and multiple regression analysis were carried out on morphological traits (body length, body width, bill length, bill width, bill height, shank length, body height, head length, head width, neck length, wing length, chest circumference and body weight) of male and female muscovy ducks. Obvious sexual dimorphism was exhibited between sexes, relationship between body measurement and body weight  were examined through factor and multiple linear regression analysis. Three factors had positive significant effect on body weight of the male muscovy representing size and shape while only one factor had positive relationship with body weight in female, accounting for 84.2% and 63.5% of variation in body weight for male and female respectively. The result reveals that body measurements can be better selected for improvement in weight for male muscovy than for females.

Keywords :
Factor analysis scores, multiple regression, muscovy duck

Date Deposited : 06 Jul 2011 14:11

Last Modified : 06 Jul 2011 14:11

Official URL:

Volume 8, Number 11, - 2009 , ISSN 1682-8356

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