›› 2013, Vol. 25 ›› Issue (5): 0-937.

• 论文 •    

植物内生菌次生代谢产物影响大豆主要性状的灰色关联度分析

龚娜,杨镇,王娜,李学龙,肖军,陈珣,杨涛*   

  1. 辽宁省农业科学院 微生物工程中心, 辽宁 沈阳 110161
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2013-09-25 发布日期:2013-09-25

Grey correlation analysis of the soybeans main properties impacted by secondary metabolites of endophyte

GONG Na;YANG Zhen;WANG Na;LI Xue-long;XIAO Jun;CHEN Xun;YANG Tao*   

  1. Research Center of Microbial Engineering, Liaoning Provincial Academy of Agricultural Sciences, Shenyang 110161, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2013-09-25 Published:2013-09-25

摘要: 植物内生菌次生代谢产物为新型、高效、广谱和安全活性物质的开发提供了丰富的资源。为探索不同组合的植物内生菌次生代谢产物对大豆主要性状的影响,文章应用灰色关联度分析模型的方法,分析植物内生真菌次生代谢产物应用效果。结果表明:在S1R25D25处理下,大豆的主要产量性状最好,关联度为0.9765,其次为S0.5处理,关联度为0.8310,在S1R25D25处理下,大豆产量性状中百粒重最好,比CK高28.6%。

关键词: 灰色关联度分析, 大豆, 植物内生菌次生代谢产物

Abstract: The secondary metabolites of endophyte provide substantial resources for the development of new\|type, highly effective, broad\|spectrum and active substance. In order to explore the impact of different combinations of endophyte secondary metabolites on the main properties of soybean, the grey correlation degree analysis method is used to evaluate their application effect. Results showed that,
from the perspective of the main morphological properties of soybean, the best combination was S1R25D25, whose correlation coefficient was 0.9765, followed by S0.5, whose correlation coefficient was 0.8310. For 100-seed weight value, S1R25D25 was the best treatment with 28.6% higher than CK.

Key words: grey correlation analysis, soybean, secondary metabolites of endophyte