From sugar industry to cane industry: investigations on multivariate data analysis techniques in the identification of different high biomass sugarcane varieties

摘要: Apart from sugar production, the sugarcane plant is now viewed as a high value lowcost feedstock for renewable energy. However, in depth studies on biomass potential of crop are relatively new and current varieties have not been optimised to achieve required yield different end-uses. The objective this study was examine possibility using multivariate data analysis (MVDA) techniques selection types canes. Sixty genotypes generations crosses were evaluated 18 inter-related traits. Principal component compressed characters into five major principal components (PCs). first two explained 77 % total variation. PC1 emphasised cane quality traits while PC2 stressed characteristics. biplot with PCs very helpful visualising existing variations population. Cluster defined six groups Candidates three them found suitable commercial exploitation, either sugar, fibre, or both main end-products. MVDA thus be effective assessing extent genetic divergence between population canes multipurpose use. It also clear that sucrose content positively associated diameter fibre tended thinner taller than traditional varieties.