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 analysis for the developmental behavior of Soybean (Glycine max L. Merr.)
    Sun, DH
    Li, WB
    Zhang, ZC
    Chen, QS
    Ning, HL
    Qiu, LJ
    Sun, GL
    THEORETICAL AND APPLIED GENETICS, 2006, 112 (04) : 665 - 673
  • [33] Mapping quantitative trait loci for yield-related traits and predicting candidate genes for grain weight in maize
    Zhao, Yanming
    Su, Chengfu
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [34] Quantitative Trait Locus (QTL) Mapping of Sugar Yield-Related Traits in Sugar Beet (Beta vulgaris L.)
    Wang, Maoqian
    Xu, Yuhui
    Wang, Weicheng
    Wu, Zedong
    Xing, Wang
    Zhang, Hanguo
    SUGAR TECH, 2019, 21 (01) : 135 - 144
  • [35] Quantitative Trait Locus (QTL) Mapping of Sugar Yield-Related Traits in Sugar Beet (Beta vulgaris L.)
    Maoqian Wang
    Yuhui Xu
    Weicheng Wang
    Zedong Wu
    Wang Xing
    Hanguo Zhang
    Sugar Tech, 2019, 21 : 135 - 144
  • [36] Identification of main effect and epistatic quantitative trait loci for morphological and yield-related traits in peanut (Arachis hypogaea L.)
    Khedikar, Yogendra
    Pandey, Manish K.
    Sujay, V.
    Singh, Sube
    Nayak, Spurthi N.
    Klein-Gebbinck, Henry W.
    Sarvamangala, Cholin
    Mukri, Ganapati
    Garg, Vanika
    Upadhyaya, Hari D.
    Nadaf, H. L.
    Gowda, M. V. C.
    Varshney, Rajeev K.
    Bhat, Ramesh S.
    MOLECULAR BREEDING, 2018, 38 (01)
  • [37] Identification of main effect and epistatic quantitative trait loci for morphological and yield-related traits in peanut (Arachis hypogaea L.)
    Yogendra Khedikar
    Manish K. Pandey
    V. Sujay
    Sube Singh
    Spurthi N. Nayak
    Henry W. Klein-Gebbinck
    Cholin Sarvamangala
    Ganapati Mukri
    Vanika Garg
    Hari D. Upadhyaya
    H. L. Nadaf
    M. V. C. Gowda
    Rajeev K. Varshney
    Ramesh S. Bhat
    Molecular Breeding, 2018, 38
  • [38] Association mapping in multiple yam species (Dioscorea spp.) of quantitative trait loci for yield-related traits
    Adejumobi, I. I.
    Agre, Paterne A. A.
    Adewumi, A. S.
    Shonde, T. E.
    Cipriano, I. M.
    Komoy, J. L.
    Adheka, J. G.
    Onautshu, D. O.
    BMC PLANT BIOLOGY, 2023, 23 (01)
  • [39] Association mapping in multiple yam species (Dioscorea spp.) of quantitative trait loci for yield-related traits
    I.I. Adejumobi
    Paterne A. Agre
    A.S. Adewumi
    T.E. Shonde
    I.M. Cipriano
    J.L. Komoy
    J.G. Adheka
    D.O. Onautshu
    BMC Plant Biology, 23
  • [40] In silico integration of quantitative trait loci for seed yield and yield-related traits in Brassica napus
    Zhou, Qing-Hong
    Fu, Dong-Hui
    Mason, Annaliese S.
    Zeng, Yong-Jun
    Zhao, Chao-Xian
    Huang, Ying-Jin
    MOLECULAR BREEDING, 2014, 33 (04) : 881 - 894