Multiple Statistics Analysis of the Quality Traits of Tomato(Solanum lycopersicum L.)
Sun Ya-dong
Abstract
Sun Ya-dong
Abstract
The quality of tomato mainly contains commercial quality,sensory quality and nutritional quality.Seventeen quality traits of 30 tomato germplasm were studied by multiple statistics analysis.The result showed that different diversity were detected among different traits,lycopene content had the largest coefficient of variation 95.42%,soluble solids content had the smallest of 17.43% and the average coefficient variation of the tested traits was 32.83%.The correlation analysis on the traits showed that some exterior commercial quality traits had significant correlation with internal nutrition traits,such as fruit shape index,fruit carpopodial depression size and availability of fruit shoulder.By principal component analysis,17 principal components were summarized to six principal components which cumulative contributive rate accounted for 80.99%.Based on the score vectors of the factors,30 cultivars were classified into six categories by using cluster analysis.The results can be a basis for the evaluation of quality traits and the utilization of these materials for tomato quality improvement.
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The quality of tomato mainly contains commercial quality,sensory quality and nutritional quality.Seventeen quality traits of 30 tomato germplasm were studied by multiple statistics analysis.The result showed that different diversity were detected among different traits,lycopene content had the largest coefficient of variation 95.42%,soluble solids content had the smallest of 17.43% and the average coefficient variation of the tested traits was 32.83%.The correlation analysis on the traits showed that some exterior commercial quality traits had significant correlation with internal nutrition traits,such as fruit shape index,fruit carpopodial depression size and availability of fruit shoulder.By principal component analysis,17 principal components were summarized to six principal components which cumulative contributive rate accounted for 80.99%.Based on the score vectors of the factors,30 cultivars were classified into six categories by using cluster analysis.The results can be a basis for the evaluation of quality traits and the utilization of these materials for tomato quality improvement.
Key concepts: Principal component analysis, Germplasm, Statistics, Lycopene, Solanum, Quality (philosophy), Mathematics, Biology