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Comprehensive Evaluation of Photosynthetic Capacity of Different Soybean Varieties Under Low LightComprehensive Evaluation of Photosynthetic Capacity of Different Soybean Varieties Under Low Light(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2021年01期
Page:
45-58
Research Field:
Publishing date:

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Title:
Comprehensive Evaluation of Photosynthetic Capacity of Different Soybean Varieties Under Low LightComprehensive Evaluation of Photosynthetic Capacity of Different Soybean Varieties Under Low Light
Author(s):
WANG Bei-bei HE Qian-rui ZHANG Jia-wei WANG Zhong-lin FAN Yuan-fangYANG Wen-yu YANG Feng
(College of Agronomy, Sichuan Agricultural University/Key Laboratory of Crop Ecophysiology and Farming System in Southwest China, Ministry of Agriculture/Sichuan Engineering Research Center for Crop Strip Intercropping System, Chengdu 611130,China)
Keywords:
Soybean Seedling stage photosynthetic capacity Multivariate statistical analysis Comprehensive evaluation
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2021.01.0045
Abstract:
In order to screen soybean varieties with different photosynthetic capacity, 16 parameters of photosynthetic capacity of 37 soybean varieties at seedling stage were taken as the research objects. Two light environments, normal light(1 000 μmol?m-2?s-1) and shade light (400 μmol?m-2?s-1) were set up in pot experiments to comprehensively evaluate the photosynthetic capacity of soybean seedlings. The results showed that 16 individual indicators were converted into4 independent comprehensive indicators with the principal component analysis method, and the comprehensive photosynthetic capacity evaluation value (D) was calculated with the membership function method. According to their values, 37 soybean varieties were divided into 3 categories. The first category belonged to the strong photosynthetic capacity type, the second category belonged to the moderate photosynthetic capacity type, and the third category belonged to the low photosynthetic capacity type. The mathematical model of soybean shade tolerance evaluation was established by stepwise regression method, D=-0.950+0.118X12+0.230X16+0.436X9+0.122X14+0.037X4+0.567X5+0.065X10(R2=0.970, P=0.000 1),7 identification indexes of stem biomass, total biomass, actual photochemical quantum efficiency, stalk biomass, transpiration rate, PSⅡ effective photochemical quantum yield and leaf area were screened for soybean seedling photosynthetic capacity evaluation indexes.

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Last Update: 2021-02-09