|Table of Contents|

omprehensive Evaluation and Identification Index Screening of Shade Tolerance of Intercropping Soybean in Guangxi(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2022年06期
Page:
645-653
Research Field:
Publishing date:

Info

Title:
omprehensive Evaluation and Identification Index Screening of Shade Tolerance of Intercropping Soybean in Guangxi
Author(s):
TANG Fu-yue;  LIANG Jiang;  GOU Xiao-hong;  WEI Qing-yuan;  CHEN Wen-jie;  CHEN Yuan
(Cash Crops Research Institute， Guangxi Academy of Agricultural Sciences/Nanning Comprehensive Station of Nation Soybean Industry Technology， Nanning 530007， China)
Keywords:
soybean;  shade tolerance;  principal components analysis;  membership function method;  system cluster analysis;  stepwise regression analysis method
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2022.06.0645
Abstract:
This research aimed to explore the shade tolerance characteristics and identification index of soybean varieties(lines)， and establish a relatively accurate， stable and efficient mathematical model for evaluating shade tolerance of soybean. There were two treatments (intercropping of soybean and maize；pure planting) with 36 soybean varieties(lines) as experimental materials. Eleven single character indexes were used as the data of shade tolerance coefficient， and the shade tolerance of soybean was comprehensively evaluated by using principal component analysis， membership function method， systematic clustering and stepwise regression analysis.The results showed as follows， the evaluation value of comprehensive shade tolerance was calculated by membership function method and analyzed by cluster analysis， 36 soybean varieties(lines) were divided into three categories: Strong shade tolerance (two varieties)， medium shade tolerance (nine varieties) and weak shade tolerance (25 varieties/lines) . The shade tolerance coefficient of eleven single trait indexes took as independent variable and D value as dependent variable， the optimal regression equation was established by stepwise regression analysis: D=-0.585+0.662x2+0.152x3+0.084x5+0.211x8(R=0.962，R2=0.915,SD=0.036 16). The lowest of pod height， nodes number of main stem， pods number per plant and seeds number per pod were selected as the identification indexes of soybean shade tolerance under intercropping of corn and soybean strip compound planting in Guangxi.Keywords: soybean; shade tolerance; principal components analysis; membership function method; system cluster analysis; stepwise regression analysis method

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Last Update: 2022-11-29