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Italian Journal of Animal Science Volume 13, 2014 - Issue 4
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Short Communication

Dealing with Multicollinearity in Predicting Egg Components from Egg Weight and Egg Dimension

Tarek M. ShafeyDepartment of Animal Production,King Saud University, Riyadh, Saudi ArabiaCorrespondence[email protected]
,
Ahmed H. MahmoudDepartment of Zoology,King Saud University, Riyadh, Saudi Arabia
&
Mohamed A. AbouheifDepartment of Animal Production,King Saud University, Riyadh, Saudi Arabia
Article: 3408 | Received 11 Apr 2014, Accepted 11 Aug 2014, Published online: 17 Feb 2016

References

  • Abanikannda O.T.F. Olutogun O. Leigh A.O. Ajayi L.A., 2007. Statistical modeling of egg weight and egg dimensions in commercial layers. Int. J. Poult. Sci. 6:59-63.
  • Aziz M.A. Sharaby M.A., 1993. Collinearity as a problem in predicting body weight from body dimensions of Najdi sheep in Saudi Arabia. Small Ruminant Res. 12:117-124.
  • Belsley D.A., 1991. Conditioning diagnostics, collinearity and weak data in regression. John Wiley and Sons, New York, NY, USA.
  • Belsley D.A. Kuh E. Welsch R.E., 1980. Regression diagnostics: identifying influential data and sources of collinearity. John Wiley and Sons, New York, NY, USA.
  • Choprakarn K. Salangam I. Janaka K., 1998. Laying performance, egg characteristics and egg composition in Thai indigenous hens. J. Nat. Res. Council Thailand 30:1-17.
  • Farooq K.A.M. Durrani F.R. Sarbiland K. Chaud N., 2003. Predicting egg weight, shell weight, shell thickness and hatching chick weight of Japanese quails using various egg traits as regressors. Int. J. Poult. Sci. 2:164-167.
  • Farooq M. Mian M.A. Ali M. Durrani F.R. Asquar A. Muqarrab A.K., 2001. Egg traits of Fayomi bird under subtropical conditions. Sarad J. Agri. 17:141-145.
  • Gill J.L., 1986. Outliers and influence in multiple regression. J. Anim. Breed. Genet. 103:161-175.
  • Greene W.H., 2000. Econometric analysis. Prentice-Hall Publ., Upper Saddle River, NJ, USA.
  • Gunlu A. Kiriki K. Cetin O. Carip M., 2003. Some external and internal quality characteristics of partridge (A. graeca) eggs. Food Agri. Environ. 1:197-199.
  • Hawking R.R. Pendleton O.J., 1983. The regression dilemma. Commun. Stat. A-Theor. 12:497-527.
  • Hu F.B. Manson J.E. Willett W.C., 2001. Types of dietary fat and risk of coronary heart disease: a critical review. J. Am. Coll. Nutr. 20:5-19.
  • Kul S. Seker I., 2004. Phenotypic correlation between some external and internal egg quality traits in the Japanese quail (Coturnix japonica). Int. J. Poult. Sci. 3:400-405.
  • Malau-Aduli A.E.O. Aziz M.A. Kojina T. Niibayashi T. Oshima K. Komatsu M., 2004. Fixing collinearity instability using principal component and ridge regression analyses in the relationship between body measurements and body weight in Japanese Black cattle. J. Anim. Vet. Adv. 3:856-863.
  • Olawumi S.O. Ogunlade J.T., 2008. Phenotypic correlations between some external and internal egg quality traits in the exotic Isa Brown layer breeders. Int. J. Poult. Sci. 2:30-35.
  • Ozcelik M., 2002. The phenotypic correlation among some external and internal quality characteristics in Japanese quail eggs. Vet. J. Ankara Univ. 49:67-72.
  • Panda P.C., 1996. Shape and Texture. In: PandaP.C. ( ed.) Egg and poultry technology. Vikas Publ., New Delhi, India, p 57.
  • Pandey N.K. Mahapatra C.M. Verma S.S. Johari D.C., 1986. Effect of strain on physical egg quality characteristics in white Leghorn chickens. J. Poult. Sci. 21:304-307.
  • Pimentel E.C.G. Queiroz S.A. Carvalheiro R. Fries L.A., 2007. Use of ridge regression for prediction of early growth performance in crossbred calves. Genet. Mol. Biol. 30:536-544.
  • Robinson C. Schumacker R.E., 2009. Interaction effects: centering, variance inflation factor, and interpretation issues. Multiple Linear Regression Viewpoints 35:6-11.
  • Rook A.J. Dhanoa M.S. Gill M., 1990. Prediction of the voluntary intake of grass silages by beef cattle. 2. Principal component and ridge regression analyses. Anim. Prod. 50:439-454.
  • SAS, 2006. Guide for personal computers, version 9.1.3. SAS Inst. Inc., Cary, NC, USA.
  • Shrimpton D.H., 1987. The nutritive value of eggs and their dietary significance. In: WellsR.G. BeljavinC.G. ( eds.). Egg quality. Current problems and recent advances. Butterworth Publ., London, UK, pp 11-25.
  • Stadelman W.J., 1977. Quality identification of shell eggs. In: StadelmanW.J. CotterillD.J. ( eds.) Egg science and technology. AVI Publ., Westport, CT, USA, p 33.
  • Wilson H.R. Suarez M.E., 1993. The use of egg weight and chick weight coefficient of variation as quality indicators in hatchery management. J. Appl. Poultry Res. 2:227-231.
  • Yu C.H., 2008. Multi-collinearity, variance inflation, and orthogonalization in regression. Available from: http://www.creative-wisdom.com/computer/sas/collinear.html
  • Yu C.H., 2011. Principal component regression as a counter measure against colinearity. Arizona State University ed., Tempe, AZ, USA. Available from: http://www.lexjansen.com/wuss/2011/analy/Papers_Yu_C_73333.pdf

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