Journal of Integrative Agriculture ›› 2019, Vol. 18 ›› Issue (9): 1971-1979.DOI: 10.1016/S2095-3119(18)62054-4

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  • 收稿日期:2018-04-14 出版日期:2019-09-01 发布日期:2019-08-31

Genetic effects and plant architecture influences on outcrossing rate in soybean

YAN Hao1, 2, 3, ZHANG Jing-yong2, ZHANG Chun-bao2, PENG Bao2, ZHANG Wei-long2, WANG Peng-nian2, DING Xiao-yang2, LIU Bao-hui1, FENG Xian-zhong1, ZHAO Li-mei2   
  

  1. 1 Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, P.R.China
    2 Soybean Research Institute, Jilin Academy of Agricultural Sciences/National Engineering Research Center for Soybean, Changchun 130033, P.R.China
    3 University of Chinese Academy of Sciences, Beijing 100049, P.R.China
  • Received:2018-04-14 Online:2019-09-01 Published:2019-08-31
  • Contact: Correspondence LIU Bao-hui, E-mail: liubh@iga.ac.cn; FENG Xian-zhong, E-mail: fengxianzhong@iga.ac.cn; ZHAO Li-mei, E-mail: l_mzhao@126.com
  • About author: YAN Hao, E-mail: yanhaoonline@163.com;
  • Supported by:
    This work was supported by the National Natural Science Foundation for Young Scientists of China (31301399), the Major Project for Science and Technology Development of Jilin Province, China (20170201001NY), and the Agricultural Science Technology Innovation Project of Jilin Province, China (CXGC2017TD002).

Abstract:

Outcrossing rate is an important determinant of cytoplasmic male sterile (CMS) breeding and hybrid seed production for heterosis in soybean.  Parental lines with a high outcrossing rate were screened for backcross breeding to obtain the high outcrossing rate maintenance B-lines and sterile A-lines.  Application in production practices will help to increase hybrid soybean production.  In this study, JLCMS82B and JLCMS89B were selected as parents for the construction of outcrossing rate segregation populations, and the progeny-array approach (PAA) and glyphosate resistant gene markers were used to determine outcrossing rates.  We found that: (1) The outcrossing rate between JLCMS82B and JLCMS89B was significantly different; (2) the outcrossing rate of the F2 segregating populations was a quantitative trait, though whether an additive or epistatic effect exists required analysis with a triple test intersection analysis; (3) agronomic traits correlated with outcrossing rate; outcrossing rate was the highest with plant height of about 84 cm, lower number of plant branches, earlier flowering time, larger angle between the branches and the main stem, and with more divergent plant morphology.  Correlation analysis between agronomic traits and outcrossing rate can effectively guide the screening of parents with a high outcrossing rate.
 

Key words: soybean ,  outcrossing rate ,  stem height ,  branch number ,  initial bloom date