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

• DOI: 10.2135/cropsci2019.02.0095
• Publication Date: 2019-07-25T16:34:56Z
• Authors: Wenwen Song; Shi Sun; Seifeldin Elrayah...; Zejun Xu; Haiying Wu; Xingguo Hu; Hongchang Jia; Yanxi Cheng; Zhonglu Yang; Shibo Jiang; Tingting Wu; Mikhail Sinegovskii; Enoch Sapey; Alexandre Nepomuceno; Bingjun Jiang; Wensheng Hou; Valentina Sinegov...; Cunxiang Wu; Junyi Gai; Tianfu Han
• Keywords: Germ plasm; Ammi; Adaptability

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