文献类型： 外文期刊
作者： Hu, Quan 1 ; Zhang, Yanwei 4 ; Ma, Ruirui 1 ; An, Jie 1 ; Huang, Wenxuan 1 ; Wu, Yueying 1 ; Hou, Jingjing 1 ; Zhang, Daj 1 ;
作者机构： 1.China Agr Univ, State Key Lab Agrobiotechnol, Beijing 100193, Peoples R China
2.China Agr Univ, Coll Agron & Biotechnol, Beijing 100193, Peoples R China
3.China Agr Univ, Coll Agron & Biotechnol, Beijing Key Lab Crop Genet Improvement, Beijing 100193, Peoples R China
4.Shandong Acad Agr Sci, Crop Res Inst, Jinan 250131, Shandong, Peoples R China
5.Shandong Agr Univ, Coll Agron, Tai An 271018, Shandong, Peoples R China
6.Michigan State Univ, Dept Plant Soil & Microbial Sci, E Lansing, MI 48824 USA
关键词： Soybean; QTL mapping; Machine vision; Seed appearance quality
期刊名称：MOLECULAR BREEDING （ 影响因子：2.589； 五年影响因子：2.75 ）
ISSN： 1380-3743
年卷期： 2021 年 41 卷 12 期
页码：
收录情况： SCI
摘要： Soybean seed appearance quality greatly affects the marketability. The objective of this study was to identify the quantitative trait loci (QTLs) that control the appearance quality of soybean seeds. A total of 256 recombinant inbred lines from Qi Huang No.34 x Ji Dou No.17 were utilized for QTL mapping. We innovatively applied a machine vision system to quantify the seed appearance of each line. As a result of QTL mapping, a total of 145 QTLs for the machine vision parameters were detected across three environments. We integrated QTLs mapped overlapped and obtained 16 QTL hotspots in total. Of these hotspots, hotspot-4-1 was suggested to be a major locus controlling seed size, and hotspot-15 was identified to affect the seed color and texture. The mapping for principal components of the seed appearance also supported it. This study comprehensively dug up the QTLs for seed appearance quality of soybean cultivars while providing an efficient method for phenotyping of seed appearance. These results would contribute to dissecting the genetic bases of seed appearance quality for the improvement of soybean.
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