Literature DB >> 22869284

Identification of positive yield QTL alleles from exotic soybean germplasm in two backcross populations.

K-S Kim1, B W Diers, D L Hyten, M A Rouf Mian, J G Shannon, R L Nelson.   

Abstract

Increasing seed yield is an important breeding goal of soybean [Glycine max (L.) Merr.] improvement efforts. Due to the small number of ancestors and subsequent breeding and selection, the genetic base of current soybean cultivars in North America is narrow. The objective of this study was to map quantitative trait loci (QTL) in two backcross populations developed using soybean plant introductions as donor parents. The first population included 116 BC(2)F(3)-derived lines developed using "Elgin" as the recurrent parent and PI 436684 as the donor parent (E population). The second population included 93 BC(3)F(3)-derived lines developed with "Williams 82" as the recurrent parent and PI 90566-1 as the donor parent (W population). The two populations were evaluated with 1,536 SNP markers and during 2 years for seed yield and other agronomic traits. Genotypic and phenotypic data were analyzed using the programs MapQTL and QTLNetwork to identify major QTL and epistatic QTL. In the E population, two yield QTL were identified by both MapQTL and QTLNetwork, and the PI 436684 alleles were associated with yield increases. In the W population, a QTL allele from PI 90566-1 accounted for 30 % of the yield variation; however, the PI region was also associated with later maturity and shorter plant height. No epistasis for seed yield was identified in either population. No yield QTL was previously reported at the regions where these QTL map indicating that exotic germplasm can be a source of new alleles that can improve soybean yield.

Entities:  

Mesh:

Year:  2012        PMID: 22869284     DOI: 10.1007/s00122-012-1944-1

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  26 in total

1.  A new integrated genetic linkage map of the soybean.

Authors:  Q J Song; L F Marek; R C Shoemaker; K G Lark; V C Concibido; X Delannay; J E Specht; P B Cregan
Journal:  Theor Appl Genet       Date:  2004-02-27       Impact factor: 5.699

2.  A soybean transcript map: gene distribution, haplotype and single-nucleotide polymorphism analysis.

Authors:  Ik-Young Choi; David L Hyten; Lakshmi K Matukumalli; Qijian Song; Julian M Chaky; Charles V Quigley; Kevin Chase; K Gordon Lark; Robert S Reiter; Mun-Sup Yoon; Eun-Young Hwang; Seung-In Yi; Nevin D Young; Randy C Shoemaker; Curtis P van Tassell; James E Specht; Perry B Cregan
Journal:  Genetics       Date:  2007-03-04       Impact factor: 4.562

3.  QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations.

Authors:  Jian Yang; Chengcheng Hu; Han Hu; Rongdong Yu; Zhen Xia; Xiuzi Ye; Jun Zhu
Journal:  Bioinformatics       Date:  2008-01-17       Impact factor: 6.937

4.  Dynamic QTL analysis of linolenic acid content in different developmental stages of soybean seed.

Authors:  Yingpeng Han; Dongwei Xie; Weili Teng; Shuzheng Zhang; Wei Chang; Wenbin Li
Journal:  Theor Appl Genet       Date:  2011-02-23       Impact factor: 5.699

5.  Genetic mapping revealed two loci for soybean aphid resistance in PI 567301B.

Authors:  Tae-Hwan Jun; M A Rouf Mian; Andrew P Michel
Journal:  Theor Appl Genet       Date:  2011-09-13       Impact factor: 5.699

6.  Major locus and other novel additive and epistatic loci involved in modulation of isoflavone concentration in soybean seeds.

Authors:  Juan J Gutierrez-Gonzalez; Tri D Vuong; Rui Zhong; Oliver Yu; Jeong-Dong Lee; Grover Shannon; Mark Ellersieck; Henry T Nguyen; David A Sleper
Journal:  Theor Appl Genet       Date:  2011-08-18       Impact factor: 5.699

7.  Novel quantitative trait loci for broad-based resistance to soybean cyst nematode (Heterodera glycines Ichinohe) in soybean PI 567516C.

Authors:  Tri D Vuong; David A Sleper; James G Shannon; Henry T Nguyen
Journal:  Theor Appl Genet       Date:  2010-06-18       Impact factor: 5.699

8.  Epistasis for three grain yield components in rice (Oryza sativa L.).

Authors:  Z Li; S R Pinson; W D Park; A H Paterson; J W Stansel
Journal:  Genetics       Date:  1997-02       Impact factor: 4.562

9.  Simple sequence repeat (SSR) markers linked to E1, E3, E4, and E7 maturity genes in soybean.

Authors:  Stephen J Molnar; Satish Rai; Martin Charette; Elroy R Cober
Journal:  Genome       Date:  2003-12       Impact factor: 2.166

10.  Mapping determinants of variation in energy metabolism, respiration and flight in Drosophila.

Authors:  Kristi L Montooth; James H Marden; Andrew G Clark
Journal:  Genetics       Date:  2003-10       Impact factor: 4.562

View more
  21 in total

1.  Introgression of novel genetic diversity to improve soybean yield.

Authors:  J M Hegstad; R L Nelson; S Renny-Byfield; L Feng; J M Chaky
Journal:  Theor Appl Genet       Date:  2019-06-17       Impact factor: 5.699

2.  Heterosis and combining ability estimates in isoflavone content using different parental soybean accessions: wild soybean, a valuable germplasm for soybean breeding.

Authors:  Yingdong Bi; Wei Li; Jialei Xiao; Hong Lin; Ming Liu; Miao Liu; Xiaoyan Luan; Bixian Zhang; Xuejun Xie; Donglin Guo; Yongcai Lai
Journal:  PLoS One       Date:  2015-01-21       Impact factor: 3.240

3.  A Genome-Wide Association Study for Agronomic Traits in Soybean Using SNP Markers and SNP-Based Haplotype Analysis.

Authors:  Rodrigo Iván Contreras-Soto; Freddy Mora; Marco Antônio Rott de Oliveira; Wilson Higashi; Carlos Alberto Scapim; Ivan Schuster
Journal:  PLoS One       Date:  2017-02-02       Impact factor: 3.240

4.  Identification and validation of QTLs for seedling salinity tolerance in introgression lines of a salt tolerant rice landrace 'Pokkali'.

Authors:  Teresa B De Leon; Steven Linscombe; Prasanta K Subudhi
Journal:  PLoS One       Date:  2017-04-07       Impact factor: 3.240

5.  Construction of high-density genetic map and QTL mapping of yield-related and two quality traits in soybean RILs population by RAD-sequencing.

Authors:  Nianxi Liu; Mu Li; Xiangbao Hu; Qibin Ma; Yinghui Mu; Zhiyuan Tan; Qiuju Xia; Gengyun Zhang; Hai Nian
Journal:  BMC Genomics       Date:  2017-06-19       Impact factor: 3.969

6.  GBS Mapping and Analysis of Genes Conserved between Gossypium tomentosum and Gossypium hirsutum Cotton Cultivars that Respond to Drought Stress at the Seedling Stage of the BC₂F₂ Generation.

Authors:  Richard Odongo Magwanga; Pu Lu; Joy Nyangasi Kirungu; Latyr Diouf; Qi Dong; Yangguang Hu; Xiaoyan Cai; Yanchao Xu; Yuqing Hou; Zhongli Zhou; Xingxing Wang; Kunbo Wang; Fang Liu
Journal:  Int J Mol Sci       Date:  2018-05-30       Impact factor: 5.923

7.  Genetic Architecture of Soybean Yield and Agronomic Traits.

Authors:  Brian W Diers; Jim Specht; Katy Martin Rainey; Perry Cregan; Qijian Song; Vishnu Ramasubramanian; George Graef; Randall Nelson; William Schapaugh; Dechun Wang; Grover Shannon; Leah McHale; Stella K Kantartzi; Alencar Xavier; Rouf Mian; Robert M Stupar; Jean-Michel Michno; Yong-Qiang Charles An; Wolfgang Goettel; Russell Ward; Carolyn Fox; Alexander E Lipka; David Hyten; Troy Cary; William D Beavis
Journal:  G3 (Bethesda)       Date:  2018-10-03       Impact factor: 3.154

8.  Predicted genetic gains from introgressing chromosome segments from exotic germplasm into an elite soybean cultivar.

Authors:  Sushan Ru; Rex Bernardo
Journal:  Theor Appl Genet       Date:  2019-11-28       Impact factor: 5.699

9.  Genetic variants in root architecture-related genes in a Glycine soja accession, a potential resource to improve cultivated soybean.

Authors:  Silvas J Prince; Li Song; Dan Qiu; Joao V Maldonado Dos Santos; Chenglin Chai; Trupti Joshi; Gunvant Patil; Babu Valliyodan; Tri D Vuong; Mackensie Murphy; Konstantinos Krampis; Dominic M Tucker; Ruslan Biyashev; Anne E Dorrance; M A Saghai Maroof; Dong Xu; J Grover Shannon; Henry T Nguyen
Journal:  BMC Genomics       Date:  2015-02-25       Impact factor: 3.969

10.  Genome-wide association mapping for flowering and maturity in tropical soybean: implications for breeding strategies.

Authors:  Rodrigo Iván Contreras-Soto; Freddy Mora; Fabiane Lazzari; Marco Antônio Rott de Oliveira; Carlos Alberto Scapim; Ivan Schuster
Journal:  Breed Sci       Date:  2017-11-16       Impact factor: 2.086

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.