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Standard Cultivar Selection and Digital Quantification for Precise Classification of Maturity Groups in Soybean

文献类型： 外文期刊

作者： Song, Wenwen 1 ; Sun, Shi 1 ; Ibrahim, Seifeldin Elrayah 2 ; Xu, Zejun 3 ; Wu, Haiying 4 ; Hu, Xingguo 5 ; Jia, Hongch 1 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Crop Sci, MOA Key Lab Soybean Biol Beijing, Beijing 100081, Peoples R China

2.ARC, Gezira Res Stn, Wad Madani 126, Sudan

3.Xuzhou Inst Agr Sci, Xuzhou 221131, Jiangsu, Peoples R China

4.Nanchong Acad Agr Sci, Nanchong 637000, Sichuan, Peoples R China

5.Inst Agr Sci Hulunbeir, Hulunbeir 162650, Inner Mongolia, Peoples R China

6.Heilongjiang Acad Agr Sci, Heihe Branch, Heihe 164300, Heilongjiang, Peoples R China

7.Changchun Acad Agr Sci, Changchun 130111, Jilin, Peoples R China

8.Chinese Acad Agr Sci, Oil Crops Res Inst, Wuhan 430062, Hubei, Peoples R China

9.Heilongjiang Acad Agr Sci, Suihua Branch, Suihua 152052, Heilongjiang, Peoples R China

10.All Russian Sci Res Inst Soybean, Blagoveshchensk 675027, Amur Region, Russia

11.CSIR Oil Palm Res Inst, POB 78, Kade, Ghana

12.Embrapa Soja, Rodovia Carlos Joao Strass, BR-86001970 Londrina, Parana, Brazil

13.Nanjing Agr Univ, Natl Ctr Soybean Improvement, Nanjing 210095, Jiangsu, Peoples R China

期刊名称：CROP SCIENCE （ 影响因子：2.319； 五年影响因子：2.631 ）

ISSN： 0011-183X

年卷期： 2019 年 59 卷 5 期

页码：

收录情况： SCI

摘要： The maturity group (MG) system is widely used to group soybean [Glycine max (L.) Merr.] varieties based on their growth periods and photothermal responses. However, there is still no universal standard or quantifiable methodology for MG classification. In this study, phenological traits of 107 Chinese, 4 Far East Russian representative soybean varieties, and 113 North American reference varieties covering 13 MGs were evaluated at eight locations (ranging from 30 to 50 degrees N) in four ecoregions of China for two consecutive years (2014 and 2015). Relative maturity groups (RMGs) were attributed to all the varieties based on the linear regression models. To decimalize the RMG values of the early-maturing varieties belonging to MGs below 0, negative values were defined for MGs 00, 000, and 0000. The additive main effects and multiplicative interaction (AMMI) model was used to screen 185 standard candidate varieties for MGs 0000 to VIII. This study provided a systematic and quantifiable methodology for RMG identification in soybeans. The methodology is expected to be widely adopted by soybean regionalization and germplasm exchanges throughout the world and will be helpful for characterizing the photothermal sensitivity and adaptability of the given soybean varieties.

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