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应用灰色关联度评价山东小麦新品种(系)的综合表现
引用本文:韩启秀. 应用灰色关联度评价山东小麦新品种(系)的综合表现[J]. 勤云标准版测试, 2005, 0(2)
作者姓名:韩启秀
作者单位:山东省烟台市农业科学研究院 山东烟台265500
摘    要:应用灰色关联度分析法,对参加2001~2002年度山东省小麦品种区域试验高肥甲组l3个品种(系)的7个主要性状,进行了综合描述和量化评估.结果表明,参试品种(系)中烟475表现最好,其次为潍62036、烟278、荷26-5-39和聊9518。与等权关联度排序相比,加权关联度排序的评估结果更能反映品种(系)产量等多个性状的实际表现,构造参考品种和赋予不同性状以不同权重是灰色关联度分析法的关键环节。

关 键 词:小麦  灰色关联度  新品种(系)  综合表现

Applying the Grey Relational Analysis Method to the Multi-factorial Evaluation of New Wheat Varieties(lines) in Shandong Province
Han Qixiu. Applying the Grey Relational Analysis Method to the Multi-factorial Evaluation of New Wheat Varieties(lines) in Shandong Province[J]. , 2005, 0(2)
Authors:Han Qixiu
Affiliation:(Yantai Agricultural Science Academy, Yantai, Shandong 265500)
Abstract:In this article, through grey correlative degree analysis, seven important properties of thirteen new varieties (lines), which were chosen from the 2001~2002''s higher soil fertility group of wheat variety area test of Shandong were generally described and quantitatively evaluated. The results showed that Yan 475 was the best wheat line and Wei 62036, Yan 278, He 26-5-39, Liao 9518 were better in the thirteen new wheat varieties (strains). Comparing with the equal-weighted incidence method, the evaluation of weighted incidence sequence could more accurately reflect many properties such as yield. The selection of control varieties and relative properties is the heart of grey correlative degree analysis.
Keywords:Wheat   Grey correlative degree   New varieties (lines)   Compositive expression
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