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CHINESE JOURNAL OF OIL CROP SCIENCES ›› 2020, Vol. 42 ›› Issue (1): 51-.doi: 10.19802/j.issn.1007-9084.2020024

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 QTL mapping and candidate gene mining for first pod height in soybean

  

  1.  1. Laboratory of Soybean Genetic Improvement, Northeast Agricultural University, Harbin 150030, China;  2. Jilin Academy of Agricultural Sciences, Changchun 130033, China
  • Online:2020-02-28 Published:2020-03-05

Abstract: The first pod height is a key indicator of soybean varieties suitable for mechanical harvest. Varieties with lower first pod height may cause part of the plant to be cut or missed during mechanical harvesting, resulting in total yield loss. Therefore, the candidate genes related to the first pod high traits in soybean is very important for soy⁃ bean mechanization breeding. In this study, the Inclusive Composite Interval Mapping (ICIM) method was used to map the QTLs of soybean first pod height traits for 208 chromosome segment substitution lines (CSSL), and obtained 9 QTLs related to soybean first pods height which were distributed on 8 linkage groups. Combined with the BSA re⁃ sequencing results, QTLs related to soybean first pod height were mapped to 1.1Mb on the C1 linkage group and 0.05Mb on the L linkage group, and gene annotation was performed. Through gene annotation database and informat⁃ ics analysis, five candidate genes related to soybean first pod height were obtained in two consensus QTL intervals. These results provided theoretical basis for fine QTL mapping of soybean first pod height and selective breeding of mechanized high-quality and high-yield soybean varieties. 

Key words: color:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:normal, line-height:1.5, text-decoration:none, ">soybean;first pod height;ICIM;BSA;candidate gene mining

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