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Search results 301 to 354 out of 354 for "seed oil"

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Type Details Score
QTL
Name: Seed oil 39-13
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:K
Start: 53.89
End: 54.12
Markers: BARC-014813-01678|BARCSOYSSR_09_1171
QTL Study: SD02-4-59_x_A02-381100.qtl.Wang_Jiang_2014
QTL
Name: Seed oil 39-16
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:O
Start: 106.04
End: 108.84
Markers: BARCSOYSSR_10_1394|BARC-050013-09288
QTL Study: SD02-4-59_x_A02-381100.qtl.Wang_Jiang_2014
QTL
Name: Seed oil 39-15
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:N
Start: 37.98
End: 40.63
Markers: Satt125|Satt584
QTL Study: SD02-4-59_x_A02-381100.qtl.Wang_Jiang_2014
QTL
Name: Seed oil 32-2
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:H
Start: 45.95
End: 47.95
Markers: Satt442
QTL Study: TK780_x_Hidaka4.qtl.Shibata_Takayama_2008
QTL
Name: Seed oil 32-1
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:E
Start: 15.72
End: 22.86
Markers: Satt384
QTL Study: TK780_x_Hidaka4.qtl.Shibata_Takayama_2008
QTL
Name: Seed oil 32-3
Trait: Seed oil
Genetic Map: GmComposite2003
Linkage Group: GmComposite2003:I
Start: 30.78
End: 42.02
Markers: Satt496
QTL Study: TK780_x_Hidaka4.qtl.Shibata_Takayama_2008
QTL
Name: Seed oil 5-5
Trait: Seed oil
Genetic Map: GmComposite1999
Linkage Group: GmComposite1999:D2
Start: 88.3
End: 90.3
Markers: K258_2
QTL Study: Young_x_PI416937.qtl.Lee_Bailey_1996a
QTL  
Name: Seed oil 6-4
Trait: Seed oil
Genetic Map: GmComposite1999
Linkage Group: GmComposite1999:G
Start: 142.9
End: 144.9
QTL Study: Young_x_PI416937.qtl.Lee_Bailey_1996a
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
QTL
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
Publication
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
QTL Study
Description: Further information provided in 10.1007/s00122-012-1995-3
Genotypes: OAC Wallace x OAC Glencoe
Trait    
Name: Seed oil to protein ratio
QTL Study: PI27890_x_PI290136.qtl.Lark_Orf_1994
GWAS Result
Marker: Chr02_45869612
p-value: 1.0E-7
GWAS: mixed.gwas.Fang_Ma_2017
Trait: Seed oil to protein ratio
Trait    
Name: Seed oil to protein ratio
GWAS: mixed.gwas.Fang_Ma_2017
QTL
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
QTL
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
GWAS
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.
Data Set
URL: https://data.legumeinfo.org/Glycine/max/markers/Wm82.gnm2.mrk.Li_Zhao_2019/
Description: Soybean is globally cultivated primarily for its protein and oil. The protein and oil contents of the seeds are quantitatively inherited traits determined by the interaction of numerous genes. In order to gain a better understanding of the molecular foundation of soybean protein and oil content for the marker-assisted selection (MAS) of high quality traits, a population of 185 soybean germplasms was evaluated to identify the quantitative trait loci (QTLs) associated with the seed protein and oil contents. Using specific length amplified fragment sequencing (SLAF-seq) technology, a total of 12,072 single nucleotide polymorphisms (SNPs) with a minor allele frequency (MAF) ≥ 0.05 were detected across the 20 chromosomes (Chr), with a marker density of 78.7 kbp. A total of 31 SNPs located on 12 of the 20 soybean chromosomes were correlated with seed protein and oil content. Of the 31 SNPs that were associated with the two target traits, 31 beneficial alleles were identified. Two SNP markers, namely rs15774585 and rs15783346 on Chr 07, were determined to be related to seed oil content both in 2015 and 2016. Three SNP markers, rs53140888 on Chr 01, rs19485676 on Chr 13, and rs24787338 on Chr 20 were correlated with seed protein content both in 2015 and 2016. These beneficial alleles may potentially contribute towards the MAS of favorable soybean protein and oil characteristics.
Licence: ODC Public Domain Dedication and Licence (PDDL)
DataSource: LIS Datastore
Data Set
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
Data Set
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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