ZHANG Ying,LI Xiang-hua,XIAO Xin-hui,et al.Detection and Analysis of Isoflavone Content and Quality Traits of Different Soybean Types in Chongqing[J].Soybean Science,2011,30(01):67-72.[doi:10.11861/j.issn.1000-9841.2011.01.0067]
重庆不同类型大豆异黄酮含量与品质性状的测定与分析
- Title:
- Detection and Analysis of Isoflavone Content and Quality Traits of Different Soybean Types in Chongqing
- 文章编号:
- 1000-9841(2011)01-0067-06
- Keywords:
- Wild soybean; Landrace; Isoflavone; Quality traits; Correlation analysis
- 分类号:
- S565.1
- 文献标志码:
- A
- 摘要:
- 选取重庆地区96份野生大豆和102份地方品种,检测其蛋白质﹑脂肪及异黄酮含量,并进行品质性状间的相关分析,探索重庆大豆异黄酮含量的生态分布规律以及异黄酮与品质性状间的相关性,发掘品质优良的大豆种质资源。结果表明:重庆地区的野生大豆蛋白质和脂肪含量低于其地方品种,但异黄酮含量高,不同类型大豆的异黄酮含量变异丰富。试验同时筛选出高异黄酮含量优异种质资源5份。认为不同生态区大豆品质含量有差异,地理上存在不同品质性状的分布差异,野生大豆异黄酮含量与脂肪含量呈极显著正相关,与蛋白质含量呈极显著负相关,地方品种中大豆异黄酮含量与脂肪含量呈不显著正相关。
- Abstract:
- In order to understand the status of quality traits and excellent soybean germplasm in Chongqing, we investigated isoflavone, protein and fat contents and analyzed the correlation between 96 wild and 102 landrace soybeans from this area. In this research, the various chemical component contents in different types and ecotopes were compared. The results showed that the protein and fat contents of the wild soybean were lower than landraces, but the isoflavone content was higher than landraces. There was higher variation in isoflavone content of different soybean types, and we detected five high-isoflavone soybean germplasm. The isoflavone content of soybean from different eco-areas was highly varying, and we found there were dominance areas for special quality trait. The correlation between isoflavone and other quality traits such as protein and fat differed in different soybean types. There was a significantly positive correlation between isoflavone content and fat contents in wild soybean,but a significantly negative correlation between isoflavone content and protein contents. Whereas in landraces, the correlation between isoflavone content and fat content was insignificantly positive related.
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备注/Memo
基金项目:重庆市自然科学基金重点资助项目(CSTC,2009BA1033)。