|Table of Contents|

Comprehensive Evaluation for Shade-Tolerant and Selection of Identification Indicators in Soybean Germplasms from China and Abroad(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2018年04期
Page:
493-502
Research Field:
Publishing date:

Info

Title:
Comprehensive Evaluation for Shade-Tolerant and Selection of Identification Indicators in Soybean Germplasms from China and Abroad
Author(s):
ZHANG Li-jun SUN Xu-gang LI Sheng-you SONG Shu-hong WANG Wen-bin CAO Yong-qiang
(Crop Institute of Liaoning Academy of Agricultural Sciences, Shenyang 110161,China)
Keywords:
Soybean Shade-tolerance Principal components analysis Membership function Cluster analysis Stepwise regression analysis
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2018.04.0493
Abstract:
Abstract: In order to evaluate the methods of shade-tolerant in soybean, screen and identify the soybean shade tolerance traits, and establish a scientific and reliable mathematical model of shade tolerance evaluation, 82 soybean germplasms from China and abroad were treated under shading and natural light conditions in the pot-culture experiments, and the plant height (X1), main stem node number (X2), internode length (X3), branch number (X4), pods per plant (X5), biomass per plant (X6), yield per plant (X7), apparent harvest index (X8) and 100-seed weight (X9) were investigated at the mature period to evaluate the shade-tolerant and confirm the suitable and efficient indicators of shade-tolerance according to mathematical evaluation model. The results showed that the nine single indexes were transformed into four independent comprehensive components by principal component analysis, which represent 83.155% information of the raw data. The membership function analysis was used to calculate comprehensive shade-tolerance value (D), and 82 landraces were divided into three types including high shade-tolerant, medium shade-tolerant and shade-intolerant through cluster analysis for D value. A mathematical evaluation model for soybean shade-tolerant germplasms was established by stepwise regression analysis, D=0.024+0.148X2-0.094X3-0.088X5+0.408X7+0.236X9 (R2=0.997). Based on the model, five indexes were closely related to the shade-tolerance were screened out, including main stem nodes, internode length, pods per plant, yield per plant and 100-seed weight. That is to say, the high shade-tolerance types have more main stem nodes, shorter internode length, greater pods per plant and yield per plant.Keywords:

References:

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Last Update: 2018-07-25