Mapping quantitative trait loci for yield-related traits in soybean (Glycine max L.)

被引:12
|
作者
Dargahi, Hamidreza [1 ]
Tanya, Patcharin [2 ]
Somta, Prakit [2 ]
Abe, Jun [3 ]
Srinives, Peerasak [2 ]
机构
[1] Kasetsart Univ, Fac Agr Kamphaeng Saen, Trop Agr Int Program, Nakhon Pathom 73140, Thailand
[2] Kasetsart Univ, Fac Agr Kamphaeng Saen, Dept Agron, Nakhon Pathom 73140, Thailand
[3] Hokkaido Univ, Res Fac Agr, Lab Plant Genet & Evolut, Sapporo, Hokkaido 0608589, Japan
关键词
soybean; yield-related traits; simple sequence repeat; quantitative trait loci; MARKER-ASSISTED SELECTION; GENETIC-LINKAGE MAP; AGRONOMIC TRAITS; NONSTRESS ENVIRONMENTS; REPRODUCTIVE PERIOD; PLANT HEIGHT; QTL ANALYSIS; SEED NUMBER; IDENTIFICATION; MATURITY;
D O I
10.1270/jsbbs.64.282
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Development of soybean cultivars with high seed yield is a major focus in soybean breeding programs. This study was conducted to identify genetic loci associated with seed yield-related traits in soybean and also to clarify consistency of the detected QTLs with QILs found by previous researchers. A population of 135 F-2:3 lines was developed from a cross between a vegetable soybean line (MJ0004-6) and a landrace cultivar from Myanmar (R18500). They were evaluated in the experimental field of Kasetsart University, Kamphaeng Saen, Nakhon Pathom, Thailand in a randomized complete block design with two replications each in 2011 and 2012 growing seasons. The two parents exhibited contrasting characteristics for most of the traits that were mapped. Analysis of variance showed that the main effects of genotype and environment (year) were significant for all studied traits. Genotype by environment interaction was also highly significant for all the traits. The population was genotyped by 149 polymorphic SSR markers and the genetic map consisted of 129 SSR loci which converged into 38 linkage groups covering 1156 cM of soybean genome. There were 10 QTLs significantly associated with seed yield-related traits across two seasons with single QTLs explaining between 5.0% to 21.9% of the phenotypic variation. Three of these QTLs were detected in both years for days to flowering, days to maturity and 100 seed weight. Most of the detected QTLs in our research were consistent with earlier QTLs reported by previous researchers. However, four novel QTLs including SF1, SF2 and SF3 on linkage groups L and N for seed filling period and PN1 on linkage group D1b for pod number were identified in the present study.
引用
收藏
页码:282 / 290
页数:9
相关论文
共 50 条
  • [31] Quantitative trait loci associated with oligosaccharide and sucrose contents in soybean (Glycine max L)
    Kim, HK
    Kang, ST
    Cho, JH
    Choung, MG
    Suh, DY
    JOURNAL OF PLANT BIOLOGY, 2005, 48 (01) : 106 - 112
  • [32] Genetic analysis and quantitative trait locus identification of the reproductive to vegetative growth period ratio in soybean (Glycine max (L.) Merr.)
    Wang, Ying
    Cheng, Lirui
    Leng, Jiantian
    Wu, Cunxiang
    Shao, Guihua
    Hou, Wensheng
    Han, Tianfu
    EUPHYTICA, 2015, 201 (02) : 275 - 284
  • [33] Mapping QTLs for seed yield and drought susceptibility index in soybean (Glycine max L.) across different environments
    Du, Weijun
    Wang, Min
    Fu, Sanxiong
    Yu, Deyue
    JOURNAL OF GENETICS AND GENOMICS, 2009, 36 (12) : 721 - 731
  • [34] Genetics and mapping of quantitative traits for nodule number, weight, and size in soybean (Glycine max L.[Merr.])
    Hwang, Sadal
    Ray, Jeffery D.
    Cregan, Perry B.
    King, C. Andy
    Davies, Marilynn K.
    Purcell, Larry C.
    EUPHYTICA, 2014, 195 (03) : 419 - 434
  • [35] Quantitative trait loci mapping of pubescence density and flowering time of insect-resistant soybean (Glycine max L. Merr.)
    Komatsu, Kunihiko
    Okuda, Shiorl
    Takahashi, Masakazu
    Matsunaga, Ryoichi
    Nakazawa, Yoshinori
    GENETICS AND MOLECULAR BIOLOGY, 2007, 30 (03) : 635 - 639
  • [36] Analysis of quantitative trait loci for main plant traits in soybean
    Yao, D.
    Liu, Z. Z.
    Zhang, J.
    Liu, S. Y.
    Qu, J.
    Guan, S. Y.
    Pan, L. D.
    Wang, D.
    Liu, J. W.
    Wang, P. W.
    GENETICS AND MOLECULAR RESEARCH, 2015, 14 (02) : 6101 - 6109
  • [37] Mapping and Validation of Quantitative Trait Loci on Yield-Related Traits Using Bi-Parental Recombinant Inbred Lines and Reciprocal Single-Segment Substitution Lines in Rice (Oryza sativa L.)
    Manzoor, Ghulam Ali
    Yin, Changbin
    Zhang, Luyan
    Wang, Jiankang
    PLANTS-BASEL, 2025, 14 (01):
  • [38] Mapping quantitative trait loci associated with stem-related traits in maize (Zea maysL.)
    Shang, Qiqi
    Zhang, Degui
    Li, Rong
    Wang, Kaixin
    Cheng, Zimeng
    Zhou, Zhiqiang
    Hao, Zhuanfang
    Pan, Jinbao
    Li, Xinhai
    Shi, Liyu
    PLANT MOLECULAR BIOLOGY, 2020, 104 (06) : 583 - 595
  • [39] Quantitative Trait Loci for Rice Yield-Related Traits Using Chromosomal Segment Substitution Lines
    Li Zihe
    Riaz, Aamir
    Zhang Yingxin
    Anis, Galal Bakr
    Zhu Aike
    Cao Liyong
    Cheng Shihua
    RICE SCIENCE, 2019, 26 (05) : 261 - 264
  • [40] Mapping quantitative trait loci controlling soybean seed starch content in an interspecific cross of 'Williams 82' (Glycine max) and 'PI 366121' (Glycine soja)
    Dhungana, Sanjeev K.
    Kulkarni, Krishnanand P.
    Park, Cheol W.
    Jo, Hyun
    Song, Jong T.
    Shin, Dong-Hyun
    Lee, Jeong-Dong
    PLANT BREEDING, 2017, 136 (03) : 379 - 385