Ong’ala J
Kenya Agricultural and Livestock Research Organization
Kenya
Title: The use of principal component analysis in sugarcane cone selection
Biography
Biography: Ong’ala J
Abstract
In the process of phenotypic evaluation of sugarcane, many traits are simultaneously evaluated. These traits are often highly interrelated. Evaluation of all these traits is costly and may not enhance selection response. In this study, we aim at using the Principal Component Analysis (PCA) to identify representative traits for phenotypic characterization of sugarcane, and thereby to select superior clones in the breeding process. The results indicate that when PCA is used, only 10 out of 19 traits will be significant in identifying the superior clones and their contributions to the selected traits are quantified.