D. M. Ogah
Department of Animal Science, College of Agriculture, Lafia, Nasarawa State, Nigeria
A. A. Alaga
Department of Pathology and Microbiology, College of Veterinary Medicine,University of Agriculture, Makurdi, Benue State, Nigeria
M. O. Momoh
Department 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.
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How to cite this article
D. M. Ogah, A. A. Alaga and M. O. Momoh, 2009. Use of Factor Analysis Scores in Multiple Regression Model for Estimation of Body Weight from Some Body Measurement in Muscovy Duck. International Journal of Poultry Science, 8: 1107-1111.
DOI: 10.3923/ijps.2009.1107.1111
URL: https://scialert.net/abstract/?doi=ijps.2009.1107.1111
DOI: 10.3923/ijps.2009.1107.1111
URL: https://scialert.net/abstract/?doi=ijps.2009.1107.1111
REFERENCES
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CrossRefDirect Link - Keskin, S., I. Dasiran and A. Kor, 2007. Factor analysis scores in a multiple linear regression model for prediction of carcass weight in Akkeci kids. J. Applied Anim. Res., 31: 210-214.
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