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Sugarcane clone selection by FUZZ (True seed) at SUCAF/Ferké in Côte d’Ivoire

By: Oura Otchou Jean-Didier Thierry, Kouamé Konan Didier, Péné Bi Crépin

Key Words: Multivariate analysis, Cluster analysis, Sugarcane, Breeding process

Int. J. Biosci. 13(1), 413-420, July 2018.

DOI: http://dx.doi.org/10.12692/ijb/13.1.413-420

Certification: ijb 2018 0127 [Generate Certificate]

Abstract

Knowledge on performance of genotypes and interrelationships among traits is very important for sugarcane breeding program. Therefore, many characters are evaluated simultaneously in the sugarcane phenotypic evaluation process. In this study, we used the Principal Component Analysis (PCA) to identify representative traits for phenotypic characterization of sugarcane, and thereby to select superior clones in the breeding process. Five quantitative and two qualitative traits of sugarcane were studied from the PCA. These major components represented for 58.13% of the variance. Cluster analysis has allowed us to divide the 148 clones of sugarcane into 5 groups. The high genotypes diversity of selected sugarcane is reflected by the genetic diversity revealed within the population.

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Sugarcane clone selection by FUZZ (True seed) at SUCAF/Ferké in Côte d’Ivoire

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Oura Otchou Jean-Didier Thierry, Kouamé Konan Didier, Péné Bi Crépin.
Sugarcane clone selection by FUZZ (True seed) at SUCAF/Ferké in Côte d’Ivoire.
Int. J. Biosci. 13(1), 413-420, July 2018.
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