YU Hua-xian
Ruili Breeding Station, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Ruili Yunnan 678600TIAN Chun-yan
Ruili Breeding Station, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Ruili Yunnan 678600JING Yan-fen
Ruili Breeding Station, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Ruili Yunnan 678600AN Ru-dong
Ruili Breeding Station, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Ruili Yunnan 678600LANG Rong-bin
Ruili Breeding Station, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Ruili Yunnan 678600Bian Xin
Ruili Breeding Station, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Ruili Yunnan 678600DONG Li-hua
Ruili Breeding Station, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Ruili Yunnan 678600ZHOU Qing-ming
Ruili Breeding Station, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Ruili Yunnan 678600YANG Li-he
Ruili Breeding Station, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Ruili Yunnan 678600SUN You-fang
Ruili Breeding Station, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Ruili Yunnan 678600TAO Lian-an
Ruili Breeding Station, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Ruili Yunnan 678600Ruili Breeding Station, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Ruili Yunnan 678600
National Natural Science Foundation of China Program (31360358);The Scientific and Technological Innovation Achievement Transformation of yunnan Academy of Agricultural Sciences(2018BB02901);Yunling Yingcai Plan "High-end Foreign Experts" Special - Sugarcane Variety Improvement and Application;Key project of Applied Basic Research in yunnan Province (2015FA034)
Yunnan Saccharum spontaneum L serves as valuable wild germplasm resource can be used in sugarcane breeding. The quantitative characters of 68 BC1F2 Yunnan Saccharum spontaneum L were investigated using the principal of numerical classification, and the PCA (define) of 10 quantitative characters were analyzed. Scatter plot was drawn based on the first 3 principal components (PC) and clustering analysis was carried out based on the genetic coefficients. The results showed that the coefficient variation of the quantitative characters ranged from 10.57% to 35.30%. The theoretical sugar content and yield in November had a high coefficient of variation over 30%, indicating a high variation potential. Principle component analysis indicated that the first 3 PC accounted for 80.83% of variation among the materials, followed by single stem weight yield factor, brix sugar factor and cluster effective stem sugar yield factor. These 68 innovative materials could be divided into 4 categories at D=10.00. Each group had different characteristics, which could be referred for castor breeding with different purposes. The scatter plot of the former three principal components indicated the coefficients of the first three PCs were higher in YGF211-50, YGF211-56, YGF211-40, YGF211-66, YGF211-77, YGF211-10, YGF211-19, YGF211-85, YGF211-45, YGF211-37, YGF211-25, YGF211-23, YGF211-18, and these accessions could be used in the breeding.