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Search results 401 to 477 out of 477 for oil

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Type Details Score
QTL
Young_x_PI416937.qtl.Lee_Bailey_1996a:Seed_oil_6-5
Name: Seed oil 6-5
Trait: Seed oil
Genetic Map: GmComposite1999
Linkage Group: GmComposite1999:H
Start: 94.0
End: 162.0
Markers: A566_2
QTL Study: Young_x_PI416937.qtl.Lee_Bailey_1996a
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QTL
Young_x_PI416937.qtl.Lee_Bailey_1996a:Seed_oil_5-6
Name: Seed oil 5-6
Trait: Seed oil
Genetic Map: GmComposite1999
Linkage Group: GmComposite1999:D2
Start: 98.0
End: 100.0
Markers: cr326_1
QTL Study: Young_x_PI416937.qtl.Lee_Bailey_1996a
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QTL
Young_x_PI416937.qtl.Lee_Bailey_1996a:Seed_oil_5-3
Name: Seed oil 5-3
Trait: Seed oil
Genetic Map: GmComposite1999
Linkage Group: GmComposite1999:L
Start: 44.1
End: 46.1
Markers: A023_1
QTL Study: Young_x_PI416937.qtl.Lee_Bailey_1996a
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QTL
Young_x_PI416937.qtl.Lee_Bailey_1996a:Seed_oil_6-2
Name: Seed oil 6-2
Trait: Seed oil
Genetic Map: GmComposite1999
Linkage Group: GmComposite1999:G
Start: 145.2
End: 147.2
Markers: L154_1
QTL Study: Young_x_PI416937.qtl.Lee_Bailey_1996a
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QTL
Young_x_PI416937.qtl.Lee_Bailey_1996a:Seed_oil_5-4
Name: Seed oil 5-4
Trait: Seed oil
Genetic Map: GmComposite1999
Linkage Group: GmComposite1999:D2
Start: 97.8
End: 99.8
Markers: cr142_1
QTL Study: Young_x_PI416937.qtl.Lee_Bailey_1996a
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QTL
Young_x_PI416937.qtl.Lee_Bailey_1996a:Seed_oil_6-3
Name: Seed oil 6-3
Trait: Seed oil
Genetic Map: GmRFLP-GA1996a
Linkage Group: GmRFLP-GA1996a:GA1
Start: 0.0
End: 4.85
Markers: A235_4
QTL Study: Young_x_PI416937.qtl.Lee_Bailey_1996a
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QTL
Young_x_PI416937.qtl.Lee_Bailey_1996a:Seed_oil_5-1
Name: Seed oil 5-1
Trait: Seed oil
Genetic Map: GmComposite1999
Linkage Group: GmComposite1999:E
Start: 30.6
End: 32.6
Markers: A069_2
QTL Study: Young_x_PI416937.qtl.Lee_Bailey_1996a
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QTL
Young_x_PI416937.qtl.Lee_Bailey_1996a:Seed_oil_5-2
Name: Seed oil 5-2
Trait: Seed oil
Genetic Map: GmComposite1999
Linkage Group: GmComposite1999:J
Start: 90.2
End: 92.2
Markers: B122_1
QTL Study: Young_x_PI416937.qtl.Lee_Bailey_1996a
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QTL
Young_x_PI416937.qtl.Lee_Bailey_1996a:Seed_oil_6-1
Name: Seed oil 6-1
Trait: Seed oil
Genetic Map: GmRFLP-GA1996a
Linkage Group: GmRFLP-GA1996a:C1.2
Start: 0.0
End: 18.9
Markers: A063_1
QTL Study: Young_x_PI416937.qtl.Lee_Bailey_1996a
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-15
Name: Seed oil 42-15
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:D2
Start: 111.84
End: 113.84
Markers: Sat_326
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-14
Name: Seed oil 42-14
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:D2
Start: 86.66
End: 88.66
Markers: Satt464
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-13
Name: Seed oil 42-13
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:D2
Start: 86.66
End: 88.66
Markers: Satt574
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-12
Name: Seed oil 42-12
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:D2
Start: 65.26
End: 67.26
Markers: Satt447
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-19
Name: Seed oil 42-19
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:I
Start: 30.94
End: 32.94
Markers: Satt614
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-18
Name: Seed oil 42-18
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:I
Start: 21.84
End: 23.84
Markers: Satt562
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-17
Name: Seed oil 42-17
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:I
Start: 20.9
End: 22.9
Markers: Satt419
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-16
Name: Seed oil 42-16
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:I
Start: 19.34
End: 21.34
Markers: Satt451
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-2
Name: Seed oil 42-2
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:A1
Start: 26.98
End: 28.98
Markers: Satt526
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-1
Name: Seed oil 42-1
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:A1
Start: 2.54
End: 4.54
Markers: Satt684
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-11
Name: Seed oil 42-11
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:B2
Start: 71.12
End: 73.12
Markers: Satt467
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-3
Name: Seed oil 42-3
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:A1
Start: 27.08
End: 29.08
Markers: Satt454
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-10
Name: Seed oil 42-10
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:B2
Start: 16.77
End: 18.77
Markers: Satt467
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-26
Name: Seed oil 42-26
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:K
Start: 29.28
End: 31.28
Markers: Satt102
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-25
Name: Seed oil 42-25
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:M
Start: 55.29
End: 57.29
Markers: Satt323
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-24
Name: Seed oil 42-24
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:M
Start: 55.29
End: 57.29
Markers: Satt220
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-23
Name: Seed oil 42-23
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:M
Start: 52.54
End: 54.54
Markers: Satt245
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-29
Name: Seed oil 42-29
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:E
Start: 33.2
End: 35.2
Markers: Satt598
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-28
Name: Seed oil 42-28
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:B2
Start: 26.62
End: 28.62
Markers: Satt126
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-27
Name: Seed oil 42-27
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:B2
Start: 72.2
End: 74.2
Markers: Satt556
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-22
Name: Seed oil 42-22
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:M
Start: 34.84
End: 36.84
Markers: Satt540
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-21
Name: Seed oil 42-21
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:D1a
Start: 69.69
End: 71.69
Markers: Satt436
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-20
Name: Seed oil 42-20
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:D1a
Start: 39.86
End: 41.86
Markers: Satt531
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015:Seed_oil_42-30
Name: Seed oil 42-30
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:D2
Start: 83.17
End: 85.17
Markers: GMHSP179
QTL Study: Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
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QTL
PI27890_x_PI290136.qtl.Mansur_Lark_1993:Seed_oil_1-2
Name: Seed oil 1-2
Trait: Seed oil
Genetic Map: GmComposite1999
Linkage Group: GmComposite1999:K
Start: 9.5
End: 35.8
Markers: A315_1|BCl
QTL Study: PI27890_x_PI290136.qtl.Mansur_Lark_1993
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QTL
PI27890_x_PI290136.qtl.Mansur_Lark_1993:Seed_oil_1-1
Name: Seed oil 1-1
Trait: Seed oil
Genetic Map: GmRFLP-KGL
Linkage Group: GmRFLP-KGL:L3
Start: 31.1
End: 48.7
Markers: A111_1|T153_1
QTL Study: PI27890_x_PI290136.qtl.Mansur_Lark_1993
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Data Set
mixed.gwas.Bandillo_Jarquin_2015
URL: https://data.legumeinfo.org/Glycine/max/gwas/mixed.gwas.Bandillo_Jarquin_2015/
Description: In this research, we conducted the first comprehensive analysis of population structure on the collection of 14,000 soybean accessions [Glycine max (L.) Merr. and G. soja Siebold & Zucc.] using a 50KSNP chip. Accessions originating from Japan were relatively homogenous and distinct from the Korean accessions. As a whole, both Japanese and Korean accessions diverged from the Chinese accessions. The ancestry of founders of the American accessions derived mostly from two Chinese subpopulations, which reflects the composition of the American accessions as a whole. A 12,000 accession GWAS conducted on seed protein and oil is the largest reported to date in plants and identified single nucleotide polymorphisms (SNPs) with strong signals on chromosomes 20 and 15. A chromosome 20 region previously reported to be important for protein and oil content was further narrowed and now contains only three plausible candidate genes. The haplotype effects show a strong negative relationship between oil and protein at this locus, indicating negative pleiotropic effects or multiple closely linked loci in repulsion phase linkage. The vast majority of accessions carry the haplotype allele conferring lower protein and higher oil.
Licence: ODC Public Domain Dedication and Licence (PDDL)
DataSource: LIS Datastore
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QTL Study
Jindou23_x_Huibuzhi.qtl.LIANG_YU_2010
Description: Further information provided in 10.1016/s1671-2927(09)60197-8
Genotypes: Jindou 23 x Huibuzhi
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QTL Study
N87-984-16_x_TN93-99.qtl.Panthee_Pantalone_2005
Description: Further information provided in 10.2135/cropsci2004.0720
Genotypes: N87-984-16 x TN93-99
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QTL Study
Young_x_PI416937.qtl.Lee_Bailey_1996a
Description: Further information provided in 10.1007/bf00224058
Genotypes: Young x PI416937
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Data Set
mixed.qtl.Pathan_Vuong_2013
URL: https://data.legumeinfo.org/Glycine/max/qtl/mixed.qtl.Pathan_Vuong_2013/
Description: Further information provided in 10.2135/cropsci2012.03.0153
Licence: ODC Public Domain Dedication and Licence (PDDL)
DataSource: LIS Datastore
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Publication
10.5539/jas.v4n11p16
   
First Author: Masum Akond, ASM G.
Title: Quantitative Trait Loci Associated with Moisture, Protein, and Oil Content in Soybean [Glycine max (L.) Merr.]
Year: 2012
Journal: JAS
Volume: 4
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Publication
10.1016/j.ygeno.2018.01.004
First Author: Li, Dongmei
Title: Genome-wide association mapping for seed protein and oil contents using a large panel of soybean accessions
Year: 2019
Journal: Genomics
Volume: 111
Pages: 90-95
PMID: 29325965
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QTL Study
PI438489B_x_Hamilton.qtl.Masum-Akond_Ragin_2012
Description: Further information provided in 10.5539/jas.v4n11p16
Genotypes: PI 438489B x Hamilton
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Publication
10.1111/pbr.12259
 
First Author: Han, Yingpeng
Title: Unconditional and conditional QTL underlying the genetic interrelationships between soybean seed isoflavone, and protein or oil contents
Year: 2015
Journal: Plant Breed
Volume: 134
Pages: 300-309
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Data Set
OACWallace_x_OACGlencoe.qtl.Eskandari_Cober_2013b
URL: https://data.legumeinfo.org/Glycine/max/qtl/OACWallace_x_OACGlencoe.qtl.Eskandari_Cober_2013b/
Description: Further information provided in 10.1007/s00122-013-2083-z
Licence: ODC Public Domain Dedication and Licence (PDDL)
DataSource: LIS Datastore
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Data Set
SD02-4-59_x_A02-381100.qtl.Wang_Jiang_2014
URL: https://data.legumeinfo.org/Glycine/max/qtl/SD02-4-59_x_A02-381100.qtl.Wang_Jiang_2014/
Description: Further information provided in 10.1007/s00438-014-0865-x
Licence: ODC Public Domain Dedication and Licence (PDDL)
DataSource: LIS Datastore
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QTL Study
Zhongdou27_x_Jiunong20.qtl.Han_Teng_2015
Description: Further information provided in 10.1111/pbr.12259
Genotypes: Zhongdou 27 x Jiunong 20
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Publication
10.1111/pbr.12091
 
First Author: Mao, Tingting
Title: Identification of quantitative trait loci underlying seed protein and oil contents of soybean across multi-genetic backgrounds and environments
Year: 2013
Journal: Plant Breed
Volume: 132
Pages: 630-641
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Data Set
KF1_x_NN1138-2.qtl.Li_Zhao_2011
URL: https://data.legumeinfo.org/Glycine/max/qtl/KF1_x_NN1138-2.qtl.Li_Zhao_2011/
Description: Further information provided in 10.1007/s10681-011-0524-9
Licence: ODC Public Domain Dedication and Licence (PDDL)
DataSource: LIS Datastore
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QTL Study
DongNong46_x_KenJian23.qtl.Mao_Jiang_2013
Description: Further information provided in 10.1111/pbr.12091
Genotypes: DongNong 46 x KenJian 23
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Publication
10.2135/cropsci2012.03.0153
 
First Author: Pathan, Safiullah M.
Title: Genetic Mapping and Confirmation of Quantitative Trait Loci for Seed Protein and Oil Contents and Seed Weight in Soybean
Year: 2013
Journal: Crop Science
Volume: 53
Pages: 765-774
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Publication
10.3389/fpls.2017.01222i
           
Title: Identification of Major Quantitative Trait Loci for Seed Oil Content in Soybeans by Combining Linkage and Genome-Wide Association Mapping
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Data Set
OACWallace_x_OACGlencoe.qtl.Eskandari_Cober_2013a
URL: https://data.legumeinfo.org/Glycine/max/qtl/OACWallace_x_OACGlencoe.qtl.Eskandari_Cober_2013a/
Description: Further information provided in 10.1007/s00122-012-1995-3
Licence: ODC Public Domain Dedication and Licence (PDDL)
DataSource: LIS Datastore
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GWAS
mixed.gwas.Cao_Li_2017
Synopsis: GWAS and QTL study of soybean seed oil, conducted on 279 lines from a Chinese breeding population, genotyped with 59,845 SNPs.
Genotyping Platform: Li_Guo_2016
Genotypes: 279 lines from a Chinese breeding population
Description: We used both a linkage and association mapping methodology to dissect the genetic basis of seed oil content of Chinese soybean cultivars in various environments in the Jiang-Huai River Valley. One recombinant inbred line (RIL) population (NJMN-RIL), with 104 lines developed from a cross between M8108 and NN1138-2, was planted in five environments to investigate phenotypic data, and a new genetic map with 2,062 specific-locus amplified fragment markers was constructed to map oil content QTLs. A derived F2 population between MN-5 (a line of NJMN-RIL) and NN1138-2 was also developed to confirm one major QTL. A soybean breeding germplasm population (279 lines) was established to perform a genome-wide association study (GWAS) using 59,845 high-quality single nucleotide polymorphism markers. In the NJMN-RIL population, 8 QTLs were found that explained a range of phenotypic variance from 6.3 to 26.3% in certain planting environments. Among them, qOil-5-1, qOil-10-1, and qOil-14-1 were detected in different environments, and qOil-5-1 was further confirmed using the secondary F2 population. Three loci located on chromosomes 5 and 20 were detected in a 2-year long GWAS, and one locus that overlapped with qOil-5-1 was found repeatedly and treated as the same locus. qOil-5-1 was further localized to a linkage disequilibrium block region of approximately 440 kb. These results will not only increase our understanding of the genetic control of seed oil content in soybean, but will also be helpful in marker-assisted selection for breeding high seed oil content soybean and gene cloning to elucidate the mechanisms of seed oil content.
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QTL Study
mixed.qtl.Pathan_Vuong_2013
Description: Further information provided in 10.2135/cropsci2012.03.0153
Genotypes: mixed
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Publication
10.1007/s00122-013-2083-z
First Author: Eskandari, Mehrzad
Title: Genetic control of soybean seed oil: II. QTL and genes that increase oil concentration without decreasing protein or with increased seed yield
Year: 2013
Journal: Theor Appl Genet
Volume: 126
Pages: 1677-1687
PMID: 23536049
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Publication
10.1007/s00438-014-0865-x
First Author: Wang, Xianzhi
Title: Identification and validation of quantitative trait loci for seed yield, oil and protein contents in two recombinant inbred line populations of soybean
Year: 2014
Journal: Mol Genet Genomics
Volume: 289
Pages: 935-949
PMID: 24861102
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Publication
10.1007/s10681-011-0524-9
   
First Author: Li, Haiwang
Title: Genetic structure composed of additive QTL, epistatic QTL pairs and collective unmapped minor QTL conferring oil content and fatty acid components of soybeans
Year: 2011
Journal: Euphytica
Volume: 182
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QTL Study
OACWallace_x_OACGlencoe.qtl.Eskandari_Cober_2013b
Description: Further information provided in 10.1007/s00122-013-2083-z
Genotypes: OAC Wallace x OAC Glencoe
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QTL Study
SD02-4-59_x_A02-381100.qtl.Wang_Jiang_2014
Description: Further information provided in 10.1007/s00438-014-0865-x
Genotypes: SD02-4-59 x A02-381100
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GWAS
mixed.gwas.Bandillo_Jarquin_2015
Synopsis: GWAS of soybean seed protein and oil, using 12,000 accessions from the USDA soybean collection and the SoySNP50K BeadChip.
Genotyping Platform: SoySNP50K
Genotypes: USDA Soybean Collection
Description: In this research, we conducted the first comprehensive analysis of population structure on the collection of 14,000 soybean accessions [Glycine max (L.) Merr. and G. soja Siebold & Zucc.] using a 50KSNP chip. Accessions originating from Japan were relatively homogenous and distinct from the Korean accessions. As a whole, both Japanese and Korean accessions diverged from the Chinese accessions. The ancestry of founders of the American accessions derived mostly from two Chinese subpopulations, which reflects the composition of the American accessions as a whole. A 12,000 accession GWAS conducted on seed protein and oil is the largest reported to date in plants and identified single nucleotide polymorphisms (SNPs) with strong signals on chromosomes 20 and 15. A chromosome 20 region previously reported to be important for protein and oil content was further narrowed and now contains only three plausible candidate genes. The haplotype effects show a strong negative relationship between oil and protein at this locus, indicating negative pleiotropic effects or multiple closely linked loci in repulsion phase linkage. The vast majority of accessions carry the haplotype allele conferring lower protein and higher oil.
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Publication
10.1007/s00122-012-1995-3
First Author: Eskandari, Mehrzad
Title: Genetic control of soybean seed oil: I. QTL and genes associated with seed oil concentration in RIL populations derived from crossing moderately high-oil parents
Year: 2013
Journal: Theor Appl Genet
Volume: 126
Pages: 483-495
PMID: 23192670
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QTL Study
KF1_x_NN1138-2.qtl.Li_Zhao_2011
Description: Further information provided in 10.1007/s10681-011-0524-9
Genotypes: KF1 x NN1138-2
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QTL Study
OACWallace_x_OACGlencoe.qtl.Eskandari_Cober_2013a
Description: Further information provided in 10.1007/s00122-012-1995-3
Genotypes: OAC Wallace x OAC Glencoe
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Trait
Trait
   
Name: Seed oil to protein ratio
QTL Study: PI27890_x_PI290136.qtl.Lark_Orf_1994
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GWAS Result
GWAS Result
Marker: Chr02_45869612
p-value: 1.0E-7
GWAS: mixed.gwas.Fang_Ma_2017
Trait: Seed oil to protein ratio
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Trait
Trait
   
Name: Seed oil to protein ratio
GWAS: mixed.gwas.Fang_Ma_2017
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QTL
PI27890_x_PI290136.qtl.Lark_Orf_1994:Seed_oil_to_protein_ratio_1-1
Name: Seed oil to protein ratio 1-1
Trait: Seed oil to protein ratio
Genetic Map: GmComposite1999
Linkage Group: GmComposite1999:A1
Start: 43.4
End: 45.4
Markers: R079_1|R183|R183_1
QTL Study: PI27890_x_PI290136.qtl.Lark_Orf_1994
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QTL
PI27890_x_PI290136.qtl.Lark_Orf_1994:Seed_oil_to_protein_ratio_1-2
Name: Seed oil to protein ratio 1-2
Trait: Seed oil to protein ratio
Genetic Map: GmComposite1999
Linkage Group: GmComposite1999:M
Start: 49.0
End: 51.0
Markers: R079_1|R183|R183_1
QTL Study: PI27890_x_PI290136.qtl.Lark_Orf_1994
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Data Set
mixed.gwas.Li_Zhao_2019
URL: https://data.legumeinfo.org/Glycine/max/gwas/mixed.gwas.Li_Zhao_2019/
Description: A GWAS study of seed protein and oil content using a population of 185 soybean (Glycine max) accessions from China and across the northern hemisphere. Specific length amplified fragment sequencing (SLAF-seq) tecyyhnology detected 12,072 SNPs across 20 chromosomes showing a marker density of 78.7 kbp. Thirty-one SNPs, and their 31 beneficial alleles, placed on 12 of the chromosomes represented QTLs associateyd with protein and oil. In both 2015 and 2016, the SNPs rs15774585 and rs15783346 (Chr 7) were correlated with seed oil, and the SNPs rs53140888 (Chr 01), rs19485676 (Chr 13), and rs24787338 (Chr 20) with seed protein.
Licence: ODC Public Domain Dedication and Licence (PDDL)
DataSource: LIS Datastore
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Data Set
Wm82.gnm2.mrk.Sonah_ODonoughue_2015
URL: https://data.legumeinfo.org/Glycine/max/markers/Wm82.gnm2.mrk.Sonah_ODonoughue_2015/
Description: Soya bean is a major source of edible oil and protein for human consumption as well as animal feed. Understanding the genetic basis of different traits in soya bean will provide important insights for improving breeding strategies for this crop. A genome-wide association study (GWAS) was conducted to accelerate molecular breeding for the improvement of agronomic traits in soya bean. A genotyping-by-sequencing (GBS) approach was used to provide dense genome-wide marker coverage (>47 000 SNPs) for a panel of 304 short-season soya bean lines. A subset of 139 lines, representative of the diversity among these, was characterized phenotypically for eight traits under six environments (3 sites × 2 years). Marker coverage proved sufficient to ensure highly significant associations between the genes known to control simple traits (flower, hilum and pubescence colour) and flanking SNPs. Between one and eight genomic loci associated with more complex traits (maturity, plant height, seed weight, seed oil and protein) were also identified. Importantly, most of these GWAS loci were located within genomic regions identified by previously reported quantitative trait locus (QTL) for these traits. In some cases, the reported QTLs were also successfully validated by additional QTL mapping in a biparental population. This study demonstrates that integrating GBS and GWAS can be used as a powerful complementary approach to classical biparental mapping for dissecting complex traits in soya bean.
Licence: ODC Public Domain Dedication and Licence (PDDL)
DataSource: LIS Datastore
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Data Set
mixed.gwas.Sonah_ODonoughue_2015
URL: https://data.legumeinfo.org/Glycine/max/gwas/mixed.gwas.Sonah_ODonoughue_2015/
Description: Soya bean is a major source of edible oil and protein for human consumption as well as animal feed. Understanding the genetic basis of different traits in soya bean will provide important insights for improving breeding strategies for this crop. A genome-wide association study (GWAS) was conducted to accelerate molecular breeding for the improvement of agronomic traits in soya bean. A genotyping-by-sequencing (GBS) approach was used to provide dense genome-wide marker coverage (>47 000 SNPs) for a panel of 304 short-season soya bean lines. A subset of 139 lines, representative of the diversity among these, was characterized phenotypically for eight traits under six environments (3 sites × 2 years). Marker coverage proved sufficient to ensure highly significant associations between the genes known to control simple traits (flower, hilum and pubescence colour) and flanking SNPs. Between one and eight genomic loci associated with more complex traits (maturity, plant height, seed weight, seed oil and protein) were also identified. Importantly, most of these GWAS loci were located within genomic regions identified by previously reported quantitative trait locus (QTL) for these traits. In some cases, the reported QTLs were also successfully validated by additional QTL mapping in a biparental population. This study demonstrates that integrating GBS and GWAS can be used as a powerful complementary approach to classical biparental mapping for dissecting complex traits in soya bean.
Licence: ODC Public Domain Dedication and Licence (PDDL)
DataSource: LIS Datastore
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GWAS
mixed.gwas.Sonah_ODonoughue_2015
Synopsis: GWAS study of eight traits in soybean, conducted on 139 accessions, genotyped using GBS-derived markers.
Genotyping Platform: Sonah_ODonoughue_2015
Genotypes: 139 soya bean lines
Description: Soya bean is a major source of edible oil and protein for human consumption as well as animal feed. Understanding the genetic basis of different traits in soya bean will provide important insights for improving breeding strategies for this crop. A genome-wide association study (GWAS) was conducted to accelerate molecular breeding for the improvement of agronomic traits in soya bean. A genotyping-by-sequencing (GBS) approach was used to provide dense genome-wide marker coverage (>47 000 SNPs) for a panel of 304 short-season soya bean lines. A subset of 139 lines, representative of the diversity among these, was characterized phenotypically for eight traits under six environments (3 sites × 2 years). Marker coverage proved sufficient to ensure highly significant associations between the genes known to control simple traits (flower, hilum and pubescence colour) and flanking SNPs. Between one and eight genomic loci associated with more complex traits (maturity, plant height, seed weight, seed oil and protein) were also identified. Importantly, most of these GWAS loci were located within genomic regions identified by previously reported quantitative trait locus (QTL) for these traits. In some cases, the reported QTLs were also successfully validated by additional QTL mapping in a biparental population. This study demonstrates that integrating GBS and GWAS can be used as a powerful complementary approach to classical biparental mapping for dissecting complex traits in soya bean.
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Data Set
Wm82.gnm2.mrk.Fang_Ma_2017
URL: https://data.legumeinfo.org/Glycine/max/markers/Wm82.gnm2.mrk.Fang_Ma_2017/
Description: To understand the genetic networks underlying phenotypic correlations, we collected 809 soybean accessions worldwide and phenotyped them for two years at three locations for 84 agronomic traits. Genome-wide association studies identified 245 significant genetic loci, among which 95 genetically interacted with other loci. We determined that 14 oil synthesis-related genes are responsible for fatty acid accumulation in soybean and function in line with an additive model. Network analyses demonstrated that 51 traits could be linked through the linkage disequilibrium of 115 associated loci and these links reflect phenotypic correlations. We revealed that 23 loci, including the known Dt1, E2, E1, Ln, Dt2, Fan, and Fap loci, as well as 16 undefined associated loci, have pleiotropic effects on different traits.
Licence: ODC Public Domain Dedication and Licence (PDDL)
DataSource: LIS Datastore
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Data Set
mixed.gwas.Fang_Ma_2017
URL: https://data.legumeinfo.org/Glycine/max/gwas/mixed.gwas.Fang_Ma_2017/
Description: To understand the genetic networks underlying phenotypic correlations, we collected 809 soybean accessions worldwide and phenotyped them for two years at three locations for 84 agronomic traits. Genome-wide association studies identified 245 significant genetic loci, among which 95 genetically interacted with other loci. We determined that 14 oil synthesis-related genes are responsible for fatty acid accumulation in soybean and function in line with an additive model. Network analyses demonstrated that 51 traits could be linked through the linkage disequilibrium of 115 associated loci and these links reflect phenotypic correlations. We revealed that 23 loci, including the known Dt1, E2, E1, Ln, Dt2, Fan, and Fap loci, as well as 16 undefined associated loci, have pleiotropic effects on different traits.
Licence: ODC Public Domain Dedication and Licence (PDDL)
DataSource: LIS Datastore
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GWAS
mixed.gwas.Li_Zhao_2019
Synopsis: GWAS study of soybean seed protein and oil, conducted on 298 accessions, genotyped with a panel of 1536 SNPs.
Genotyping Platform: Li_Zhao_2019
Genotypes: 185 soybean accessions from China and across the northern hemisphere
Description: A GWAS study of seed protein and oil content using a population of 185 soybean (Glycine max) accessions from China and across the northern hemisphere. Specific length amplified fragment sequencing (SLAF-seq) tecyyhnology detected 12,072 SNPs across 20 chromosomes showing a marker density of 78.7 kbp. Thirty-one SNPs, and their 31 beneficial alleles, placed on 12 of the chromosomes represented QTLs associateyd with protein and oil. In both 2015 and 2016, the SNPs rs15774585 and rs15783346 (Chr 7) were correlated with seed oil, and the SNPs rs53140888 (Chr 01), rs19485676 (Chr 13), and rs24787338 (Chr 20) with seed protein.
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GWAS
mixed.gwas.Fang_Ma_2017
Synopsis: GWAS of 84 agronomic traits, conducted on 809 soybean accessions, with genotyping by resequencing.
Genotyping Platform: Fang_Ma_2017
Genotypes: 809 soybean accessions
Description: To understand the genetic networks underlying phenotypic correlations, we collected 809 soybean accessions worldwide and phenotyped them for two years at three locations for 84 agronomic traits. Genome-wide association studies identified 245 significant genetic loci, among which 95 genetically interacted with other loci. We determined that 14 oil synthesis-related genes are responsible for fatty acid accumulation in soybean and function in line with an additive model. Network analyses demonstrated that 51 traits could be linked through the linkage disequilibrium of 115 associated loci and these links reflect phenotypic correlations. We revealed that 23 loci, including the known Dt1, E2, E1, Ln, Dt2, Fan, and Fap loci, as well as 16 undefined associated loci, have pleiotropic effects on different traits.
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