Use of Canonical Correlation Analysis for Determination of Relationships Among Several Traits in Egg Plant (Solanum Melongena L.) Under Salt Stress

Abstract

Morphological traits of the plants may depend on several biochemical traits. Thus, the determination of the relationships between morphological and biochemical traits of the plants may be important for plant scientists. The relationships between morphological (SL; Shoot length, RL: Root length, SW; Shoot weight, RW; Root weight and LW; Leaf weight) and biochemical traits (K, Na, Cl. Malondialdehyde and Chlorophyll) were studied by using canonical correlation analysis in egg plant grown under controlled climatic (salt-stress) conditions. Canonical correlation analysis was used to summarize the relationship between morphological and biochemical traits of the egg plant. This multivariate linear statistical analysis may be used in a wide range of disciplines to analyze the relationships between multiple independent and dependent variable sets. As a result, the canonical correlation between the first canonical variates pair was found as 0.949 and the first canonical variate extracted 66.36% of the variance in the morphological traits (Y set). It can be concluded that this multivariate analysis can be used to simplify the relationship between morphological and biochemical traits of the egg plant.