Canonical correlation analysis applied to production and reproduction traits of meat type quails

Abstract

Data from 629 meat type quails were used to study association between two different sets of traits: egg production and reproduction. Traits related to reproduction were: body weight at 42 days (W42),

Multivariate analysis of body morphometric traits in conjunction with performance of reproduction and milk traits in crossbred progeny of Murrah × Jafarabadi buffalo (Bubalus bubalis) in North-Eastern Brazil

“…In swine, Barbosa et al [21], showed that three (r = 0.41, r = 0.34, r = 0.33) canonical functions for meat quality and carcass traits were significant. In quail, Ribeiro et al [29], reported significant canonical function (r = 0.34) for egg production and reproduction traits. In this study, with regard to canonical function 1, the higher (absolute value) canonical loadings were between LL and FCI (dependent variable) and BW, BL, DHI, HEW, and TP (independent variable) as seen in Table 4.…”

“…This technique aims to study several traits simultaneously, which can be difficult to measure or hard for selection programs to understand, especially when there is a negative genetic correlation between them [14]. Multivariate techniques, such as principal component analysis (PCA) and canonical correlation analysis (CCA), have been widely used in animal production study [7,[12][13][14][15][16][17][19][20][21][22][23][24][25][26][27][28][29]. PCA has been used to clarify the structural relationship between different traits and to eliminate redundant traits, thus reducing the sample size of original set of variables [30,31].…”