Literature DB >> 19462149

QTL in mega-environments: II. Agronomic trait QTL co-localized with seed yield QTL detected in a population derived from a cross of high-yielding adapted x high-yielding exotic soybean lines.

Laura Palomeque1, Liu Li-Jun, Wenbin Li, Bradley Hedges, Elroy R Cober, Istvan Rajcan.   

Abstract

Seed yield mega-environment-universal and specific QTL (QTL(U) and QTL(SP), respectively) linked to Satt100, Satt130, Satt162, Satt194, Satt259 Satt277 and Sat_126, have been identified in a population derived from a cross between a Chinese and a Canadian soybean [Glycine max (L.) Merrill] elite line. The variation observed in yield could be the consequence of the variation of agronomic traits. Yield-component traits have been reported in the literature, but a better understanding of their impact at the molecular level is still lacking. Therefore, the objectives of this study were to identify traits correlated with yield and to determine if the yield QTL(U) and QTL(SP) were co-localized with QTL(U) and QTL(SP) associated with an agronomic trait. A recombinant inbred line (RIL) population was developed from a cross between a high-yielding adapted Canadian and a high-yielding exotic Chinese soybean elite line. The RIL were evaluated in multiple environments in China and Canada during the period from 2004 to 2006. Four yield QTL(U,) tagged by markers Satt100, Satt277, Satt162 and Sat_126, were co-localized with a QTL associated with an agronomic trait, behaving as either QTL(U) or QTL(SP) for the agronomic trait. For example, the yield QTL(U,) tagged by marker Satt100 was associated also with 100 seed weight, pods per plant, pods per node, plant height, R1, R5, R8, oil content and protein content in all Canadian environments, but only with pods per plant, pods per node, plant height, R1, R5, R8 and oil content in two or more Chinese environments. No agronomic traits QTL were co-localized with the yield QTL(U) tagged by the marker Satt139 or the yield QTL(SP) tagged by Satt259, suggesting a physiological basis of the yield in these QTL. The results suggest that a successful introgression of crop productivity alleles from plant introductions into an adapted germplasm could be facilitated by the use of both the QTL(U) and QTL(SP) because each type of QTL contributed either directly or indirectly through yield-component traits to seed yield of RILs.

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Year:  2009        PMID: 19462149     DOI: 10.1007/s00122-009-1048-8

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


  7 in total

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Authors:  M A Kassem; J Shultz; K Meksem; Y Cho; A J Wood; M J Iqbal; D A Lightfoot
Journal:  Theor Appl Genet       Date:  2006-09-05       Impact factor: 5.699

2.  Quantitative trait loci in Two Soybean Recombinant Inbred Line Populations Segregating for Yield and Disease Resistance.

Authors:  J. Yuan; V. N. Njiti; K. Meksem; M. J. Iqbal; K. Triwitayakorn; My. A. Kassem; G. T. Davis; M. E. Schmidt; D. A. Lightfoot
Journal:  Crop Sci       Date:  2002-01       Impact factor: 2.319

3.  Interactions between quantitative trait loci in soybean in which trait variation at one locus is conditional upon a specific allele at another.

Authors:  K G Lark; K Chase; F Adler; L M Mansur; J H Orf
Journal:  Proc Natl Acad Sci U S A       Date:  1995-05-09       Impact factor: 11.205

4.  Quantitative trait loci for grain fructan concentration in wheat (Triticum aestivum L.).

Authors:  Bao-Lam Huynh; Hugh Wallwork; James C R Stangoulis; Robin D Graham; Kerrie L Willsmore; Steven Olson; Diane E Mather
Journal:  Theor Appl Genet       Date:  2008-06-07       Impact factor: 5.699

5.  Seed quality QTL in a prominent soybean population.

Authors:  D L Hyten; V R Pantalone; C E Sams; A M Saxton; D Landau-Ellis; T R Stefaniak; M E Schmidt
Journal:  Theor Appl Genet       Date:  2004-06-24       Impact factor: 5.699

6.  Seed and agronomic QTL in low linolenic acid, lipoxygenase-free soybean (Glycine max (L.) Merrill) germplasm.

Authors:  Yarmilla Reinprecht; Vaino W Poysa; Kangfu Yu; Istvan Rajcan; Gary R Ablett; K Peter Pauls
Journal:  Genome       Date:  2006-12       Impact factor: 2.166

7.  QTL in mega-environments: I. Universal and specific seed yield QTL detected in a population derived from a cross of high-yielding adapted x high-yielding exotic soybean lines.

Authors:  Laura Palomeque; Liu Li-Jun; Wenbin Li; Bradley Hedges; Elroy R Cober; Istvan Rajcan
Journal:  Theor Appl Genet       Date:  2009-05-22       Impact factor: 5.699

  7 in total
  16 in total

1.  Identification and validation of quantitative trait loci for seed yield, oil and protein contents in two recombinant inbred line populations of soybean.

Authors:  Xianzhi Wang; Guo-Liang Jiang; Marci Green; Roy A Scott; Qijian Song; David L Hyten; Perry B Cregan
Journal:  Mol Genet Genomics       Date:  2014-05-27       Impact factor: 3.291

2.  Multi-environment multi-QTL association mapping identifies disease resistance QTL in barley germplasm from Latin America.

Authors:  Lucia Gutiérrez; Silvia Germán; Silvia Pereyra; Patrick M Hayes; Carlos A Pérez; Flavio Capettini; Andres Locatelli; Natalia M Berberian; Esteban E Falconi; Rigoberto Estrada; Dario Fros; Victor Gonza; Hernan Altamirano; Julio Huerta-Espino; Edgar Neyra; Gisella Orjeda; Sergio Sandoval-Islas; Ravi Singh; Kelly Turkington; Ariel J Castro
Journal:  Theor Appl Genet       Date:  2014-12-30       Impact factor: 5.699

3.  Identification of quantitative trait loci associated with seed quality traits between Canadian and Ukrainian mega-environments using genome-wide association study.

Authors:  Huilin Hong; Mohsen Yoosefzadeh Najafabadi; Davoud Torkamaneh; Istvan Rajcan
Journal:  Theor Appl Genet       Date:  2022-06-18       Impact factor: 5.574

4.  Validation of mega-environment universal and specific QTL associated with seed yield and agronomic traits in soybeans.

Authors:  Laura Palomeque; Li-Jun Liu; Wenbin Li; Bradley R Hedges; Elroy R Cober; Mathew P Smid; Lewis Lukens; Istvan Rajcan
Journal:  Theor Appl Genet       Date:  2009-12-11       Impact factor: 5.699

5.  Genetic control of soybean seed oil: II. QTL and genes that increase oil concentration without decreasing protein or with increased seed yield.

Authors:  Mehrzad Eskandari; Elroy R Cober; Istvan Rajcan
Journal:  Theor Appl Genet       Date:  2013-03-28       Impact factor: 5.699

6.  Genetic basis of soybean adaptation to North American vs. Asian mega-environments in two independent populations from Canadian × Chinese crosses.

Authors:  M Eugenia Rossi; James H Orf; Li-Jun Liu; Zhimin Dong; Istvan Rajcan
Journal:  Theor Appl Genet       Date:  2013-04-18       Impact factor: 5.699

7.  Genome-wide genetic diversity is maintained through decades of soybean breeding in Canada.

Authors:  Robert W Bruce; Davoud Torkamaneh; Christopher Grainger; François Belzile; Milad Eskandari; Istvan Rajcan
Journal:  Theor Appl Genet       Date:  2019-08-05       Impact factor: 5.699

8.  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

9.  Identification of QTLs related to the vertical distribution and seed-set of pod number in soybean [Glycine max (L.) Merri].

Authors:  Hailong Ning; Jiaqi Yuan; Quanzhong Dong; Wenbin Li; Hong Xue; Yanshu Wang; Yu Tian; Wen-Xia Li
Journal:  PLoS One       Date:  2018-04-17       Impact factor: 3.240

10.  Identification of candidate genes and natural allelic variants for QTLs governing plant height in chickpea.

Authors:  Alice Kujur; Hari D Upadhyaya; Deepak Bajaj; C L L Gowda; Shivali Sharma; Akhilesh K Tyagi; Swarup K Parida
Journal:  Sci Rep       Date:  2016-06-20       Impact factor: 4.379

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