Identification of principal yield attributing traits through multivariate analysis of rainy season guava as influenced by varied micronutrient fertilization

Abstract

The study is a synthesis of some yield attributing traits of rainy season guava through grown under seven micronutrient treatments (sole and combination of B, Zn and Cu) and a control (without micronutrient). Pooled analyses of two year experimental data are subjected to multivariate analysis (Principle Component Analysis) and biplot analysis to identify the principal yield attributes. Considerable variations were observed in yield attributing and leaf nutrient status of guava plant upon micronutrient fertilization (B, Zn and Cu). The highest fruit yield was obtained with combined foliar application of B and Zn. From Principle Component Analysis it was observed that leaf B followed by leaf Zn content has most significant role in regulating principal yield attributing traits and fruit yield of guava. From Biplot-analysis it was also clearly revealed that combined application of B and Zn were the most effective in improving yield attributing traits and ultimately the yield of guava.