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国外红花种质资源主要农艺性状与产量关系的多重分析

周子馨 王娟 贾东海 兰海燕 陈跃华

新疆农业科学2017,Vol.54Issue(6):1047-1053,7.
新疆农业科学2017,Vol.54Issue(6):1047-1053,7.DOI:10.6048/j.issn.1001-4330.2017.06.010

国外红花种质资源主要农艺性状与产量关系的多重分析

Multiple Analyses of Relationship between Major Agronomic Traits and Yield of Safflower Germplasm Resources from Foreign Countries

周子馨 1王娟 1贾东海 2兰海燕 2陈跃华1

作者信息

  • 1. 新疆大学生命科学与技术学院/新疆生物资源基因工程重点实验室,乌鲁木齐830046
  • 2. 新疆农业科学院经济作物研究所,乌鲁木齐830091
  • 折叠

摘要

Abstract

[Objective] The purpose of this paper is to provide academic evidence for germplasm evaluation and innovation of safflower and identify the primary factors of yield by investigating the variation of agronomic traits of safflower.[Method]The correlation analysis,path analysis,principal components analysis and multiple liner regression analysis were conducted,whilst according to the characteristics of safflower growth and development,the main determinant factors of safflower yield formation were analyzed with the method of critical-path analysis.[Result] The results showed that the variation coefficient of agronomic traits of safflower reached from 5.09% to 55.84%,and the yield had an extremely significant correlation (0.722,1) and significant correlation (0.342,9) with bulb number per plant and bulb diameter.The top absolute value of direct path coefficient of safflower agronomic traits to yield was bulb number per plant (0.713,7),which directly affected the yield formation.The determination coefficient of four factors selected by multiple liner regression analysis to safflower yield model was 0.766,8.[Conclusion] To sum up,the safflower varieties with high plant,longer growth period,more fruit ball number and larger diameter head have high yield advantage.

关键词

红花/农艺性状/相关分析/通径分析/主成分分析/回归分析

Key words

safflower (Carthamus tinctorius L.)/agronomic traits/correlation analysis/path analysis/principal components analysis/regression analysis

分类

农业科技

引用本文复制引用

周子馨,王娟,贾东海,兰海燕,陈跃华..国外红花种质资源主要农艺性状与产量关系的多重分析[J].新疆农业科学,2017,54(6):1047-1053,7.

基金项目

Basic Scientific Research Program of Xinjiang Uygur Autonomous Region's Public Welfare Research Institutes (KY2013055) and Outstanding Young Scientific Talent Foundation of Xinjiang Academy of Agricultural Sciences (xjnkq-2017004)新疆维吾尔自治区公益性科研院所基本科研业务经费资助项目(KY2013055) (KY2013055)

新疆农业科学院优秀青年基金(xjnkq-2017004) (xjnkq-2017004)

新疆农业科学

OA北大核心CSCDCSTPCD

1001-4330

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