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SSR-Based Genetic Identity of Sugarcane Clones and its Potential Application in Breeding and Variety Extension

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Abstract

Sugarcane variety regional test and integrated demonstration play an important role in identifying new varieties of high yield, disease resistance and wide adaptability. In this study, 15 SSR primer pairs were used to assess the genetic diversity among 68 sugarcane clones involved in three cycles of national regional tests and four cycles of integrated demonstrations in China. In total, 141 DNA fragments of 100 to 350 bp in length were identified, of which 139 fragments (98.58%) were polymorphic. Clustering analysis of UPGMA algorithm based on the Nei genetic similarity coefficient divided the 68 sugarcane clones into five groups. Group I only had one clone YT00-318 due to its high heterogeneity. Groups II, III, VI and V contained 4, 6, 5 and 52 sugarcane clones, respectively. A small subgroup A in group V was identified at the genetic similarity coefficient 0.890 that contained ROC22, FN07-3206, FN40, GT09-12 and LC07-150. ROC22 was a check variety with wide adaptability, high cane yield, high sugar and several other excellent characteristics; the other four clones might have a high potential of release by sharing the same excellent traits. Principal component analysis showed that the 68 sugarcane clones within quadrants I, II, III and IV showed a high homogeneity, and no series of clones obviously gathered together. The SSR fingerprint information of the 68 sugarcane clones has been drawn into a SSR fingerprint map for the identification of sugarcane clones in Chinese sugarcane breeding programs.

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Funding

This work was funded by the Public Welfare Industrial Research Project of China (201003009-2), the 948 Program on the Introduction of International Advanced Agricultural Science and Technique of Department of Agriculture (2014-S18) and the China Agriculture Research System (CARS-17). The funders had no role in the study design, data collection and analysis, decision to publish or preparation of the manuscript.

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Correspondence to Jun Luo or Youxiong Que.

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Wang, Z., Pan, Y., Luo, J. et al. SSR-Based Genetic Identity of Sugarcane Clones and its Potential Application in Breeding and Variety Extension. Sugar Tech 22, 367–378 (2020). https://doi.org/10.1007/s12355-019-00788-9

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  • DOI: https://doi.org/10.1007/s12355-019-00788-9

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