Abstract
In this study, the level of genetic variation in the phenotypic traits of 215 sugar beet germplasm resources was evaluated by correlation analysis, principal component analysis and cluster analysis. The genetic diversity of the descriptive traits showed the highest growth potential index (1.423) and the lowest graininess index (0.176). Among the quantitative traits, the coefficient of variation was the highest for α-N content (78.226%) and the lowest for seed set (17.995%). Correlation analysis showed that there were extremely negative correlations between the number of leaves and the 100-seedling weight and sugar content. In terms of belowground traits, the root yield exhibited extremely significantly positive relationship with sugar yield, potassium content and α-N content. Principal component analysis of ten quantitative traits showed that the cumulative contribution of the first four principal components was 71.325%. These principal components included sugar yield, sugar content, leaf number and ring number per vascular bundle. The 215 germplasm resources were divided into four groups by cluster analysis. Group II and Group III could be used for breeding new varieties of energy beet, fodder beet or sugar beet, and Group IV members could be used for germplasm resource development and breeding. Overall, these results provide a theoretical basis for the selection, utilization and breeding of sugar beet germplasm resources.
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Funding
This research was funded by the National Sugar Beet Germplasm Resources Platform (NCGRC-2021-017); the Ministry of Agriculture and Rural Areas programme (19210157); the Identification, Evaluation, Cataloging and Warehousing of Sugar Beet Germplasm Resources programme (19210911); the Safe Preservation of Sugar Beet Germplasm Resources (19211031); the National sugar industry technology system project (CARS-170102); the Natural Science Foundation of Heilongjiang Province of China (LH2019C057); and the Scientific Research Foundation of the Higher Education Institutions of Heilongjiang Province (KJCX201920).
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Liu, D., Wang, X., Li, W. et al. Genetic Diversity Analysis of the Phenotypic Traits of 215 Sugar Beet Germplasm Resources. Sugar Tech 24, 1790–1800 (2022). https://doi.org/10.1007/s12355-022-01120-8
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DOI: https://doi.org/10.1007/s12355-022-01120-8