Literature DB >> 11756285

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

J. Yuan1, V. N. Njiti, K. Meksem, M. J. Iqbal, K. Triwitayakorn, My. A. Kassem, G. T. Davis, M. E. Schmidt, D. A. Lightfoot.   

Abstract

Molecular makers linked to quantitative trait loci (QTL) can assist soybean [Glycine max (L.) Merr.] breeders to combine traits of low heritability, such as yield, with disease resistance. The objective of this study was to identify markers linked to yield QTL in two recombinant inbred line (RIL) populations ['Essex' x 'Forrest' (ExF; n = 100) and 'Flyer' x 'Hartwig' (FxH; n = 94)] that also segregate for soybean cyst nematode (SCN) resistance genes (rhg1 and Rhg4). Each population was yield tested in four environments between 1996 and 1999. The resistant parents produced lower yields. Heritability of yield across four environments was 47% for ExF and 57% for FxH. Yield was normally distributed in both populations. High yielding, SCN resistant transgressive segregants were not observed. In the ExF RIL population, 134 microsatellite markers were compared against yield by ANOVA and MAPMAKER QTL. Regions associated with yield were identified by SATT294 on linkage group (LG.) C1 (P = 0.006, R(2) = 10%), SATT440 on LG. I (P = 0.007, R(2) = 10%), and SATT337 on LG. K (P = 0.004, R(2) = 10%). Essex provided the beneficial allele at SATT337. Mean yields among FxH RILs were compared against 33 microsatellite markers from LG. K. In addition 136 markers from randomly selected LGs were compared with extreme phenotypes by bulk segregant analysis. Two regions on LG. K (20 cM apart) associated with yield were identified by SATT326 (P = 0.0004, R(2) = 15%) and SATT539 (P = 0.0008, R(2) = 14%). Flyer provided both beneficial alleles. Both populations revealed a yield QTL in the interval (5 cM) between SATT337 and SATT326. These populations may share a common allele for yield in this region, given that about 40% of Flyer genome derived from Essex.

Entities:  

Year:  2002        PMID: 11756285     DOI: 10.2135/cropsci2002.2710

Source DB:  PubMed          Journal:  Crop Sci        ISSN: 0011-183X            Impact factor:   2.319


  43 in total

1.  Identification of QTLs for seed and pod traits in soybean and analysis for additive effects and epistatic effects of QTLs among multiple environments.

Authors:  Zhe Yang; Dawei Xin; Chunyan Liu; Hongwei Jiang; Xue Han; Yanan Sun; Zhaoming Qi; Guohua Hu; Qingshan Chen
Journal:  Mol Genet Genomics       Date:  2013-12       Impact factor: 3.291

2.  An updated 'Essex' by 'Forrest' linkage map and first composite interval map of QTL underlying six soybean traits.

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

3.  The development of BAC-end sequence-based microsatellite markers and placement in the physical and genetic maps of soybean.

Authors:  Jeffry L Shultz; Samreen Kazi; Rabia Bashir; Jawaad A Afzal; David A Lightfoot
Journal:  Theor Appl Genet       Date:  2007-02-08       Impact factor: 5.699

4.  Unraveling the complex trait of crop yield with quantitative trait loci mapping in Brassica napus.

Authors:  Jiaqin Shi; Ruiyuan Li; Dan Qiu; Congcong Jiang; Yan Long; Colin Morgan; Ian Bancroft; Jianyi Zhao; Jinling Meng
Journal:  Genetics       Date:  2009-05-04       Impact factor: 4.562

5.  Quantitative trait loci analysis for the developmental behavior of Soybean (Glycine max L. Merr.).

Authors:  Desheng Sun; Wenbin Li; Zhongchen Zhang; Qingshan Chen; Hailong Ning; Lijuan Qiu; Genlou Sun
Journal:  Theor Appl Genet       Date:  2005-12-20       Impact factor: 5.699

6.  Integrating sorghum whole genome sequence information with a compendium of sorghum QTL studies reveals uneven distribution of QTL and of gene-rich regions with significant implications for crop improvement.

Authors:  E S Mace; D R Jordan
Journal:  Theor Appl Genet       Date:  2011-04-12       Impact factor: 5.699

7.  Genome-wide association study of inflorescence length of cultivated soybean based on the high-throughout single-nucleotide markers.

Authors:  Jinyang Wang; Xue Zhao; Wei Wang; Yingfan Qu; Weili Teng; Lijuan Qiu; Hongkun Zheng; Yingpeng Han; Wenbin Li
Journal:  Mol Genet Genomics       Date:  2019-02-09       Impact factor: 3.291

8.  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

9.  A RAV-like transcription factor controls photosynthesis and senescence in soybean.

Authors:  Lin Zhao; Qiulan Luo; Chunliang Yang; Yingpeng Han; Wenbin Li
Journal:  Planta       Date:  2008-02-23       Impact factor: 4.116

10.  Identification of putative QTL that underlie yield in interspecific soybean backcross populations.

Authors:  D Wang; G L Graef; A M Procopiuk; B W Diers
Journal:  Theor Appl Genet       Date:  2003-09-19       Impact factor: 5.699

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