欢迎访问作物学报，今天是
作物学报

作物学报 ›› 2017, Vol. 43 ›› Issue (09): 1395-1400.doi: 10.3724/SP.J.1006.2017.01395

• 耕作栽培·生理生化 • 上一篇    下一篇

结构方程模型在冬小麦农艺性状与产量关系分析中的应用

郑立飞2,尚一斐2,李学军3,冯浩4,魏永胜1,*   

  1. 1西北农林科技大学生命科学学院, 陕西杨凌 712100; 2西北农林科技大学理学院, 陕西杨凌 712100; 3西北农林科技大学农学院, 陕西杨凌 712100; 4西北农林科技大学国家节水灌溉杨凌技术研究中心, 陕西杨凌 712100
  • 收稿日期:2016-12-07 修回日期:2017-05-10 出版日期:2017-09-12 网络出版日期:2017-06-05
  • 通讯作者: 魏永胜, E-mail: wysh70@nwsuaf.edu.cn
  • 基金资助:

    本研究由国家高技术研究发展计划(863计划)项目(2013AA102904), 西北农林科技大学基本科研业务费专项资金(2014YB023)和西北农林科技大学本科优质课程建设项目资助。

Structural Equation Model for Analyzing Relationshipbetween Yield and Agronomic Traits in Winter Wheat

ZHENG Li-Fei 2,SHANG Yi-Fei 2,LI Xue-Jun3,FENG Hao4,WEI Yong-Sheng1,*   

  1. 1 College of Life Sciences, Northwest A&F University, Yangling 712100, China;2 College of Science, Northwest A&F University, Yangling 712100, China; 3 College of Agronomy, Northwest A&F University, Yangling 712100, China; 4 China Water Saving Irrigation Institute, Northwest A&F University, Yangling 712100, China
  • Received:2016-12-07 Revised:2017-05-10 Published:2017-09-12 Published online:2017-06-05
  • Contact: Wei yonghseng, E-mail: wysh70@nwsuaf.edu.cn
  • Supported by:

    This study was supported by the National High Technology Research and Development Program of China (2013AA102904), the Special Funds for Research Activities in Northwest A&F University (2014YB023), and the Quality Curriculum project in Northwest A&F University.

RichHTML

PDF

1186

摘要：

为探讨冬小麦主要农艺性状对产量的影响及各性状间的相互作用, 采用结构方程模型对2010—2011年度国家冬小麦品种试验中长江上游组(19个品种19个试点)的数据进行了分析, 调查性状包括产量(GY)、穗粒数(GNP)、基本苗(BS)、单位面积穗数(SN)、生育期(GD)、千粒重(TGW)和株高(PH)。其变异系数为GY>GNP>SN>BS>PH>TGW>GD; 与产量的相关程度(相关系数绝对值)为GNP>BS>SN>GD>TGW>PH; 在多元回归分析中对产量的效应为SN>GNP>TGW>BS>GD>PH; 在结构方程模型中对产量的综合效应(直接效应与间接效应之和)为BS>GNP>TGW>SN>PH>GD。结构方程模型既体现了主要农艺性状对产量的直接效应, 也体现了对产量的间接效应, 并且作为先验模型, 可结合作物生理特性解释主要农艺性状对产量的影响。本研究结果表明, 应重视大穗多穗兼顾型冬小麦品种的选育。

关键词: 冬小麦, 产量, 农艺性状, 结构方程模型

Abstract:

This study aimed at understanding the relationshipbetween winterwheat yield andmajor agronomic traits using structural equation model. The parameters collected from the 2010–2011 National Winter Wheat Region Trail for Upper Yangtze River Group (19 varieties in 19 locations) were grain yield (GY), grain number per spike (GNP), density of basic seedlings (BS), spike number per ha (SN), growth duration (GD), thousand-grain weight (TGW), and plant height (PH). The variance coefficient in structural equation model showed a trend ofGY > GNP > SN > BS > PH > TGW > GD. According toPearson correlation, the correlation levels with yield was GNP > BS > SN > GD > TGW > PH. The effect of a single trait on yield was SN > GNP > TGW > BS > GD > PH according to multiple regression analysis and BS > GNP > TGW > SN > PH > GD according to the sum of direct and indirect effects in structural equation model. Both direct and indirect effects of agronomic traits in winter wheat on yield can be explained by structural equation model. As a prior experimental model, structural equation model can be used to analysis the complex relationship between crop physiological properties and wheat yield.. Our results suggest that large- and multi-spikes need to be considered simultaneously in winter wheat breeding.

Key words: Winter wheat, Yield, Agronomic traits, Structural equation model

[1]Chamekha Z, Karmousb C, Ayadia S, Sahlia A, Hammamia Z, Frajc M B, Benaissaa N, Trifaa Y, Slim-Amaraaa H. Stability analysis of yield component traits in 25 durum wheat (Triticum durum Desf.) genotypes under contrasting irrigation water salinity. Agric Water Manag, 2015,152: 1–6
[2] Bhutto A H, Rajpar A A, Kalhoro S A, Ali A, Kalhoro F A, Ahmed M, Raza S, Kalhoro N A. Correlation and regression analysis for yield traits in wheat (Triticum aestivum L.) genotypes. Nat Sci, 2016,8: 96–104
[3] de Oliveira Gondim T C, Rocha V S,Sediyama C S, MirandaG V. Path analysis for yield components and agronomic traits of wheat under defoliation. Pesquisa Agropecuaria Brasileira, 2008, 43: 487–493
[4] Siney S M A,Saba J. Analysis of yield and yield components traits in twenty bread wheat genotypes under dry land conditions. Philippine J Crop Sci, 2015, 40: 78–84
[5] Okuyama L A, Federizzi L C, Neto J F B. Correlation and path analysis of yield and its components and plant traits in wheat. Ciencia Rural, 2004. 34: 1701–1708
[6] 田纪春, 邓志英, 胡瑞波, 王延训. 不同类型超级小麦产量构成因素及籽粒产量的通径分析. 作物学报, 2006, 32:1699–1705
Tian J C, Deng Z Y, Hu R B, Wang YX. Yield Components of super wheat cultivars with different types and the path coefficient analysis on grain yield. Acta Agron Sin, 2006, 32:1699–1705 (in Chinese with English abstract)
[7] Yagdi K. Path coefficient analysis of some yield components in durum wheat (Triticum durum Desf.). Pakistan J Bot, 2009, 41:745–751
[8] ?ifci E A. Estimate of heterosis, correlation and path analysis for grain yield per spike and some agronomic traits on durum wheat (Triticum durum Desf.). J Anim Plant Sci, 2012, 22:747–752
[9] Janmohammadi M, Movahedi Z, Sabaghnia N. Multivariate statistical analysis of some traits of bread wheat for breeding under rainfed conditions.J Agric Sci, Belgrade, 2014, 59:1–14
[10] Behmanesh S, Taghizadeh R, Zaefizadeh M. Analysis of yield and yield components in durum wheat. Int Res J Appl Basic Sci, 2013,4:3333–3337
[11]Carvalho I R, De Souza V Q, Nardino M, Follmann D N, Schmidt D, Baretta D. Canonical correlations between morphological traits and yield components in dual-purpose wheat. Pesquisa Agropecuaria Brasileira, 2015, 50: 690–697
[12] 金艳, 宋佳静, 朱统泉, 陈杰, 赵立尚.2001–2015年河南省审定小麦品种产量构成分析. 中国种业, 2016, (4):41–44
Jin Y, Song J J, Zhu T Q, Chen J, Zhao L S. Analysis for yield components of wheat varieties registered and released in Henan province in 2001–2015. China Seed Ind, 2016, (4):41–44 (in Chinese)
[13] Kline R B. Principles and Practice of Structural Equation Modeling. 3rd Edn. New York, NY: Guilford Press, 2011
[14]Grace J B. Structural Equation Modeling and Natural Systems. Cambridge,UK: Cambridge University Press, 2006
[15]Lamb E G, Shirtliffe S J, May W E, Structural equation modeling in the plant sciences: an example using yield components in oat. Can J Plant Sci, 2011, 91: 603–619
[16] Fornell C. A second Generation of Multivariate Analysis V1. New York, NY: Praeger Publishes, 1982
[17] Schermelleh-Engel K, Moosbrugger H, Müller H. Evaluating the fit of structural equation models: test of significance and descriptive goodness of fit measures. Methods Psychol Res Online, 2003, 8:23–74
[18] 王卫东. 结构方程模型原理与应用. 北京: 中国人民大学出版社, 2010
Wang WD. Theory and Application of Structural Equation Modeling , Beijing: China Renmin University Press, 2010 (in Chinese)
[1] 王丹, 周宝元, 马玮, 葛均筑, 丁在松, 李从锋, 赵明. 长江中游双季玉米种植模式周年气候资源分配与利用特征[J]. 作物学报, 2022, 48(6): 1437-1450.
[2] 王旺年, 葛均筑, 杨海昌, 阴法庭, 黄太利, 蒯婕, 王晶, 汪波, 周广生, 傅廷栋. 大田作物在不同盐碱地的饲料价值评价[J]. 作物学报, 2022, 48(6): 1451-1462.
[3] 颜佳倩, 顾逸彪, 薛张逸, 周天阳, 葛芊芊, 张耗, 刘立军, 王志琴, 顾骏飞, 杨建昌, 周振玲, 徐大勇. 耐盐性不同水稻品种对盐胁迫的响应差异及其机制[J]. 作物学报, 2022, 48(6): 1463-1475.
[4] 杨欢, 周颖, 陈平, 杜青, 郑本川, 蒲甜, 温晶, 杨文钰, 雍太文. 玉米-豆科作物带状间套作对养分吸收利用及产量优势的影响[J]. 作物学报, 2022, 48(6): 1476-1487.
[5] 陈静, 任佰朝, 赵斌, 刘鹏, 张吉旺. 叶面喷施甜菜碱对不同播期夏玉米产量形成及抗氧化能力的调控[J]. 作物学报, 2022, 48(6): 1502-1515.
[6] 李祎君, 吕厚荃. 气候变化背景下农业气象灾害对东北地区春玉米产量影响[J]. 作物学报, 2022, 48(6): 1537-1545.
[7] 郭星宇, 刘朋召, 王瑞, 王小利, 李军. 旱地冬小麦产量、氮肥利用率及土壤氮素平衡对降水年型与施氮量的响应[J]. 作物学报, 2022, 48(5): 1262-1272.
[8] 石艳艳, 马志花, 吴春花, 周永瑾, 李荣. 垄作沟覆地膜对旱地马铃薯光合特性及产量形成的影响[J]. 作物学报, 2022, 48(5): 1288-1297.
[9] 闫晓宇, 郭文君, 秦都林, 王双磊, 聂军军, 赵娜, 祁杰, 宋宪亮, 毛丽丽, 孙学振. 滨海盐碱地棉花秸秆还田和深松对棉花干物质积累、养分吸收及产量的影响[J]. 作物学报, 2022, 48(5): 1235-1247.
[10] 柯健, 陈婷婷, 吴周, 朱铁忠, 孙杰, 何海兵, 尤翠翠, 朱德泉, 武立权. 沿江双季稻北缘区晚稻适宜品种类型及高产群体特征[J]. 作物学报, 2022, 48(4): 1005-1016.
[11] 李瑞东, 尹阳阳, 宋雯雯, 武婷婷, 孙石, 韩天富, 徐彩龙, 吴存祥, 胡水秀. 增密对不同分枝类型大豆品种同化物积累和产量的影响[J]. 作物学报, 2022, 48(4): 942-951.
[12] 王吕, 崔月贞, 吴玉红, 郝兴顺, 张春辉, 王俊义, 刘怡欣, 李小刚, 秦宇航. 绿肥稻秆协同还田下氮肥减量的增产和培肥短期效应[J]. 作物学报, 2022, 48(4): 952-961.
[13] 闫宇婷, 宋秋来, 闫超, 刘爽, 张宇辉, 田静芬, 邓钰璇, 马春梅. 连作秸秆还田下玉米氮素积累与氮肥替代效应研究[J]. 作物学报, 2022, 48(4): 962-974.
[14] 杜浩, 程玉汉, 李泰, 侯智红, 黎永力, 南海洋, 董利东, 刘宝辉, 程群. 利用Ln位点进行分子设计提高大豆单荚粒数[J]. 作物学报, 2022, 48(3): 565-571.
[15] 陈云, 李思宇, 朱安, 刘昆, 张亚军, 张耗, 顾骏飞, 张伟杨, 刘立军, 杨建昌. 播种量和穗肥施氮量对优质食味直播水稻产量和品质的影响[J]. 作物学报, 2022, 48(3): 656-666.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备15008789号-2