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International Journal of Poultry Science

Year: 2009 | Volume: 8 | Issue: 11 | Page No.: 1107-1111
DOI: 10.3923/ijps.2009.1107.1111
Use of Factor Analysis Scores in Multiple Regression Model for Estimation of Body Weight from Some Body Measurement in Muscovy Duck
D. M. Ogah, A. A. Alaga and M. O. Momoh

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.

Keywords: multiple regression, Factor analysis scores and muscovy duck

REFERENCES

  • Akar, M., L. Sangun and M. Baylan, 2001. A study about some quantitative traits for specie of serranus hepatus, XI. Aquac. Sympos., 1: 360-367.


  • Baeza, E., H. de Carville, M.R. Salicon, G. Marale and B. Leclerq, 1997. Effect of selection over three or four generation on meat yield and fatness in muscovy duck. Br. Poult. Sci., 38: 359-365.
    CrossRef    Direct Link    


  • Cankaya, S., G.T. kayaalp, L. Sangun, Y. Tahtali and M. Akar, 2006. A comparative study of estimation method of parameter in multiple linear regression model. J. Applied Anim. Res., 29: 43-47.


  • Gueye, E.F., A. Ndiaye and R.D.S. Branckaet, 1998. Prediction of body weigth on the basis of body measurement in mature indigenous chicken in Senegal. http://lrrd.cipav.org.co/lrrd10/3/sene103.htm.


  • 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.
    Direct Link    


  • Missohou, A., R.S. Sow and C. Ngwe-Assoumon, 1997. Caracteristques morphobiometriques dela poule du Senegal. Proceedigs of the INFPD Workshop and General Meeting. Dec. 9-13, 1997 Senegal.


  • Neter, J., W. Wasserman and M.H. Kutner, 1989. Applied Linear Statistical Models. 2nd Edn., Myanmar Association Inc., Boston, pp: 667


  • Ogah, D.M., I.S. Musa, A. Yakubu, M.O. Momoh and N.I. Dim, 2009. Variation in morphological traits of geographical separated population of indigeneous muscovy duck (Cairina moschata) in Nigeria. Proceedings of the 5th International Poultry Conference, March 10-13, Taba, Egypt.


  • Sazy, E. and F. Heraut, 1997. Comparative study on mule duck of both sexes resulting from crossbreeding the common duck female with two different muscovy males. Proceedings of the Growth and Carving at 10 and 12 Weeks of Age 639-645 in 11th European Symposium, Waterfowl Nantes, France.


  • Sharma, S., 1996. Applied Multivariate Techniques. 1st Edn., John Wiley and Sons Inc., New York, USA., ISBN-13: 978-0471310648, Pages: 512


  • Tabachnick, B.G. and L.S. Fidell, 2007. Using Multivariate Statistics. Allyn and Bacon, Boston, MA


  • Tai, C.R. and R. Rouvier, 1998. Crossbreeding effect on sexual dimorphism of body weight in intergeneric hybrids obtain between Muscovy and Pekin duck. Genet. Select. Evol., 30: 163-170.


  • Tinsley, H.E.A. and S.D. Brown, 2000. Hand Book of Applied Multivariate Statistics and Mathematical Modelling. Academic Press, New York, pp: 720

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