Using the Principal Component Analysis of Body Weight in Three Genetic Groups of Japanese Quail

Abstract

Abstract The total number of (189) three genetic quail chicks (White = 54, brown = 64, and gray = 71) were used to identify the components effecting body weight Using the principal component analysis. Means, standard errors, and standard deviation of body weight and the cuts parts were calculated using the descriptive statistic of SPSS/PASW statistics for Windows version 19. One-way analysis of variance was used to test the effect of genetic line on the traits. The results of the statistical analysis indicated that the highest Kaiser–Meyer–Olkin (KMO) measure of sampling adequacy for three lines of Japanese quail recorded to the brown quail, and also brown quail given higher and significant superiority of most parts of carcass and internal viscera which included weights of chest (g), thigh (g), back (g), neck (g), and wing (g) compared with white and grey quails. The first principal component (PC1), second (PC2) and three (PC3) were higher from white quail with Eigen values compared with brown and grey quails. Higher percentage of carcass component for white quail recorded to wings while for brown and grey quail recorded to chest part. We concluded from this study that the three principal components that extracted from White, Brown and Grey can be used for genetic improvement body weight, and also to predicting the best carcass parts weight while we can be used brown Japanese quail as a broiler due to its high carcass parts weight compared white and gray Japanese quail.