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1.
Genetic effects and plant architecture influences on outcrossing rate in soybean
YAN Hao, ZHANG Jing-yong, ZHANG Chun-bao, PENG Bao, ZHANG Wei-long, WANG Peng-nian, DING Xiao-yang, LIU Bao-hui, FENG Xian-zhong, ZHAO Li-mei
Journal of Integrative Agriculture 2019, 18 (
9
): 1971-1979. DOI:
10.1016/S2095-3119(18)62054-4
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168
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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 F
2
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.
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2.
Identification of additional QTLs for flowering time by removing the effect of the maturity gene E1 in soybean
LU Si-jia, LI Ying, WANG Jia-lin, NAN Hai-yang, CAO Dong, LI Xiao-ming, SHI Dan-ning, FANG Chao, SHI Xin-yi, YUAN Xiao-hui, Jun Abe, LIU Bao-hui, KONG Fan-jiang
Journal of Integrative Agriculture 2016, 15 (
1
): 42-49. DOI:
10.1016/S2095-3119(15)61046-2
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2078
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The adaptability of soybean to be grown at a wide range of latitudes is attributed to natural variation in the major genes and quantitative trait loci (QTLs) that control flowering time and maturity. Thus, the identification of genes controlling flowering time and maturity and the understanding of their molecular basis are critical for improving soybean productivity. However, due to the great effect of the major maturity gene E1 on flowering time, it is difficult to detect other small-effect QTLs. In this study, aiming to reduce the effect of the QTL, associated with the E1 gene, on the detection of other QTLs, we divided a population of 96 recombinant inbred lines (RILs) into two sub-populations: one with the E1 allele and another with the e1nl allele. Compared with the results of using all 96 recombinant inbred lines, additional QTLs for flowering time were identified in the sub-populations, two (qFT-B1 and qFT-H) in RILs with the E1 allele and one (qFT-J-2) in the RILs with the e1nl allele, respectively. The three QTLs, qFT-B1, qFT-H and qFT-J-2 were true QTLs and played an important role in the regulation of growth period. Our data provides valuable information for the genetic mapping and gene cloning of traits controlling flowering time and maturity and will help a better understanding of the mechanism of photoperiod-regulated flowering and molecular breeding in soybean.
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