APPLICATIONS OF PRINCIPAL COMPONENT ANALYSIS TO PREDICTION OF FAT-TAIL AND CARCASS WEIGHT TRAITS IN MAKOOEI LAMBS

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MOKHBER MAHDI; MORADI SHAHRBABAK HOSSEIN; KHELT ABADI FARAHANI AMIRHOSEIN

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Journal: Iranian Journal of Animal Science Year:2014 | Volume:44 | Issue:4 Page(s): 347-354

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Title

APPLICATIONS OF PRINCIPAL COMPONENT ANALYSIS TO PREDICTION OF FAT-TAIL AND CARCASS WEIGHT TRAITS IN MAKOOEI LAMBS

Author(s)

MOKHBER MAHDI | MORADI SHAHRBABAK HOSSEIN | KHELT ABADI FARAHANI AMIRHOSEIN | Issue Writer Certificate

Keywords

MAKOOEI LAMBSQ2

MULTICOLLINEARTYQ2

PRINCIPAL COMPONENTS ANALYSISQ2

Abstract

The objective followed in the present study was to survey the relationship between 18 body trait measurements (live weight, height at wither, paunch girth, neck diameter, body length, girth around the body, width of fat tail at above, below and midpoint of fat tail, fat tail length lowers right and left sides, fat tail gap length, fat tail depth at the above, below, and midpoint, and girth around fat tail at the above, mid and down point ) and the traits of fat tail weight and carcass (weight with and without fat tail) in Makooei Sheep and to Predict these traits, performance though multivariate Linear Regression Method Based on Principal Component Analysis. Sex showed significant effects on all the measured traits expect fat tail, depth at above, midpoint and down point, fat tail length towards right side plus gap length, width of fat tail at the above and below point of tail. Means and standard error for each trait were evaluated by sex. Multicollinearity was detected through a survey of the relationship among these traits, variance inflation factor and tolerance value. Principal component analysis was employed to resolve multicollinearity problem among independent variables and for a clearer explanation of the results. R2 range for different regression models varied between 0.973 for carcass weight without tail in male sex and 0.561 for carcass weight with fat tail in female sex of MAKOOEI LAMBS.

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APA: Copy

MOKHBER, MAHDI, MORADI SHAHRBABAK, HOSSEIN, & KHELT ABADI FARAHANI, AMIRHOSEIN. (2014). APPLICATIONS OF PRINCIPAL COMPONENT ANALYSIS TO PREDICTION OF FAT-TAIL AND CARCASS WEIGHT TRAITS IN MAKOOEI LAMBS. IRANIAN JOURNAL OF ANIMAL SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 44(4), 347-354. SID. https://sid.ir/paper/193481/en

Vancouver: Copy

MOKHBER MAHDI, MORADI SHAHRBABAK HOSSEIN, KHELT ABADI FARAHANI AMIRHOSEIN. APPLICATIONS OF PRINCIPAL COMPONENT ANALYSIS TO PREDICTION OF FAT-TAIL AND CARCASS WEIGHT TRAITS IN MAKOOEI LAMBS. IRANIAN JOURNAL OF ANIMAL SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2014;44(4):347-354. Available from: https://sid.ir/paper/193481/en

IEEE: Copy

MAHDI MOKHBER, HOSSEIN MORADI SHAHRBABAK, and AMIRHOSEIN KHELT ABADI FARAHANI, “APPLICATIONS OF PRINCIPAL COMPONENT ANALYSIS TO PREDICTION OF FAT-TAIL AND CARCASS WEIGHT TRAITS IN MAKOOEI LAMBS,” IRANIAN JOURNAL OF ANIMAL SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 44, no. 4, pp. 347–354, 2014, [Online]. Available: https://sid.ir/paper/193481/en

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