大豆α-生育酚的遗传与QTL分析

doi:10.3864/j.issn.0578-1752.2019.01.002

Abstract

Abstract:

【Objective】 Inheritance and main QTL for α-tocopherol were detected by genetic analysis and QTL mapping. The results lay a genetic foundation for the selection of soybean varieties with high α-tocopherol content in soybean.【Method】The 447 RILs were derived from a cross between Jindou23 of commercial cultivar as the female parent and Huibuzhi of farm variety from Shanxi Province (ZDD02315) as the male parent that construct SSR genetic linkage map. The parent lines and the RILs were cultivated in summer at Yuanyang testing ground of Academy of Agricultural Sciences, and in Winter at Sanya of Hainan province in 2011, 2012, 2015. A complete random design with two replications was used in this study. Each plot of a single genotype provided 15.00 g big-plump seeds with same size in six environmental conditions. α-tocopherol content was detected quantitatively and qualitatively by High Performance Liquid Chromatography (HPLC). Major gene plus polygene mixed inheritance and QTL mapping for α-tocopherol were detected by major gene plus polygene mixed inheritance analysis and composite interval mapping with WinQTLCart 2.5.【Result】The results showed that α-tocopherol was controlled by four pairs of main genes by major gene plus polygene mixed inheritance analysis. and the four pairs of main genes distributed in two parents. Three main genes shared the same direction with positive additive effect and involved novel alleles from the same parent, Jindou23; one main gene has negative additive effects and donated by Huibuzhi of black beans. Three pairs of genes shared the different direction of positive or negative epistatic effects shared the different direction to α-tocopherol contribution. The phenotypic variation explained by QTL by environment interaction ranged from 0.13 to 4.05%, and indicated that α-tocopherol was significantly affected by four pairs of main genes, more than by environment. Seventeen QTLs for α-tocopherol were mapped on 8 chromosomes 1, 2, 5, 6, 8, 14, 16, and 17, separately; the variation accounted for by each of these seventeen QTLs ranged from 8.35% to 35.78%; and QTL showed additive effect. qα-D1a-1 was all located in marker intervals between Satt320-Satt254 (19.79 cM) on chromosomes 1 in four environmental conditions of 2011 at Yuanyang, 2012 at Yuanyang and Sanya, and 2015 at Yuanyang. and explained 12.55%, 12.01%, 11.89%, 12.61% of the phenotypic variation. It had an additive effect of 0.119–0.132 donated by Jinbean23. qα-A2-1 was all located in marker intervals between Sat_129-Satt377 (44.53 cM) on chromosomes 8 in three environmental conditions of 2011 at Yuanyang and Sanya, 2015 at Yuanyang. and explained 23.18%, 22.56%, 23.01% of the phenotypic variation. It had an additive effect of -0.195–-0.180 donated by Huibuzhi. qα-D1a-1 and qα-A2-1 can be stably expressed in different genetic backgrounds.【Conclusion】α-tocopherol was controlled by four pairs of additive epistatic effect major genes genetic model (4MG-AI), and it less affected by environmental factor. The two stable main QTL of Satt320-Satt254 and Sat_129-Satt377 were co-localization marker intervals in soybean.

Key words: soybean, α-tocopherol;, major gene plus polygene, genetic mechanisms, QTL

LIANG HuiZhen,YU YongLiang,XU LanJie,YANG HongQi,DONG Wei,TAN ZhengWei,LI Lei,PEI XinYong,LIU XinMei. Inheritance and QTL Mapping for α-Tocopherol in Soybean[J].Scientia Agricultura Sinica, 2019, 52(1): 11-20.

Figures/Tables 6

Table 1

Table 2

Fig. 1

Table 3

Table 4

Fig. 2

References 39

[1]	RIMBACH G, MOEHRING J, HUEBBE P . Gene-regulatory activity of alpha-tocopherol. Molecules, 2010,15:1746-1761. doi: 10.3390/molecules15031746
[2]	ABBASI A R, HAJIREZAEI M, HOFIUS D, SONNEWALD U, VOLL L M . Specific roles of α- and γ-tocopherol in abiotic stress responses of transgenic tobacco. Plant Physiology, 2007,143:1720-1738. doi: 10.1104/pp.106.094771 pmid: 17293434
[3]	HINCHA D K . Effects of α-tocopherol (vitamin E) on the stability and lipid dynamics of model membranes mimicking the lipid composition of plant chloroplast membranes. FEBS Letters, 2008,582:3687-3692. doi: 10.1016/j.febslet.2008.10.002 pmid: 18848546
[4]	KANWISCHER M, PORFIROVA S, BERGMULLER E , DÖRMANN P. Alterations in tocopherol cyclase activity in transgenic and mutant plants of Arabidopsis affect tocopherol content, tocopherol composition, and oxidative stress. Plant Physiology, 2005,137:713-723. doi: 10.1104/pp.104.054908 pmid: 15665245
[5]	TAVVA V S, KIM Y H, KAGAN I A, DINKINS R D, KIM K H, COLLINS G B . Increased alpha-tocopherol content in soybean seed overexpressing the Perilla frutescens gamma-tocopherol methyltransferase gene. Plant Cell Reports, 2007,26(1):1-70.
[6]	李海燕, 隋美楠, 聂腾坤, 史帅, 韩英鹏, 李文滨 . 大豆维生素E五个相关基因表达模式分析. 东北农业大学学报, 2016,47(5):15-22.
	LI H Y, SUI M N, NIE T K, SHI S, HAN Y P, LI W B . Expression analysis of five relative genes of soybean vitamin E. Journal of Northeast Agricultural University, 2016,47(5):15-22. (in Chinese)
[7]	FENG F, DENG F, ZHOU P, YAN J, WANG Q, YANG R, LI X . QTL mapping for the tocopherols at milk stage of kernel development in sweet corn. Euphytica, 2013,193(3):409-417. doi: 10.1007/s10681-013-0948-5
[8]	XU S, ZHANG D, CAI Y, ZHOU Y, TRUSHAR S, FARHAN A, LI Q, LI Z, WANG W, LI J, YANG X, YAN J . Dissecting tocopherols content in maize ( Zea mays L.), using two segregating populations and high-density single nucleotide polymorphism markers. BMC Plant Biology, 2012,12(1):201. doi: 10.1186/1471-2229-12-201 pmid: 23122295
[9]	WANG X, ZHANG C, LI L, FRITSCHE S, ENDRIGKEIT J, ZHANG W, LONG Y, JUNG C, MENG J . Unraveling the genetic basis of seed tocopherol content and composition in rapeseed ( Brassica napus L.). PLoS ONE, 2012,7(11):e50038. doi: 10.1371/journal.pone.0050038 pmid: 23185526
[10]	GRAEBNER R C, WISE M, CUESTA-MARCOS A, GENIZA M, BLAKE T, BLAKE V C, BUTLER J, CHAO S, HOLE D J, HORSLEY R, JAISWAL P, OBERT D, SMITH K, ULLRICHL S, HAYESL P M . Quantitative trait loci associated with the tocochromanol (vitamin E) pathway in barley. PLoS ONE, 2015,10(7):e0133767. doi: 10.1371/journal.pone.0133767 pmid: 4514886
[11]	HADDADI P, EBRAHIMI A, LANGLADE N B, YAZDI-SAMADI B, BERGER M, CALMON A, NAGHAVI M R, VINCOURT P, SARRAFI A . Genetic dissection of tocopherol and phytosterol in recombinant inbred lines of sunflower through quantitative trait locus analysis and the candidate gene approach. Molecular Breeding, 2012,29(3):717-729. doi: 10.1007/s11032-011-9585-7
[12]	MORAL L D , FERNANDEZ-MARTINEZ J M, VELASCO L, PEREZVICH. Quantitative trait loci for seed tocopherol content in sunflower. Crop Science, 2012,52(2):786-794. doi: 10.2135/cropsci2011.08.0406
[13]	GUPTA S, SANGHA M K, KAUR G, BANGA S, GUPTA M, KUMAR H, BANGA S S . QTL analysis for phytonutrient compounds and the antioxidant molecule in mustard ( Brassica juncea L.). Euphytica, 2015,201(3):345-356. doi: 10.1007/s10681-014-1204-3
[14]	DWIYANTI M S, UJIIE A , THUY L T B, YAMDA T, KITAMURA K. Genetic analysis of high α-tocopherol content in soybean seeds. Breed Science, 2007,57:23-28. doi: 10.1270/jsbbs.57.23
[15]	SHAW E, RAJCAN I . Molecular mapping of soybean seed tocopherols in the cross ‘OAC Bayfield’×‘OAC Shire’. Plant Breeding, 2017,136:83-93. doi: 10.1111/pbr.2017.136.issue-1
[16]	LI H, WANG Y, HAN Y, TENG W, ZHAO X, LI Y, LI W . Mapping quantitative trait loci (QTLs) underlying seed vitamin E content in soybean with main, epistatic and QTL×environment effects. Plant Breeding, 2016,135(2):208-214. doi: 10.1111/pbr.2016.135.issue-2
[17]	LI H, LIU H, HAN Y, WU X, TENG W, LIU G, LI W . Identification of QTL underlying vitamin E contents in soybean seed among multiple environments. Theoretical and Applied Genetics, 2010,120(7):1405-1413. doi: 10.1007/s00122-010-1264-2 pmid: 20069414
[18]	张红梅, 李海朝, 文自翔, 顾和平, 袁星星, 陈华涛, 崔晓艳, 陈新, 卢为国 . 大豆籽粒维生素E含量的QTL分析. 作物学报, 2015,41(2):187-196. doi: 10.3724/SP.J.1006.2015.00187
	ZHANG H M, LI H C, WEN Z X, GU H P, YUAN X X, CHEN H T, CUI X Y, CHEN X, LU W G . Identification of QTL associated with vitamin E content in soybean seeds. Acta Agronomica Sinica, 2015,41(2):187-196. doi: 10.3724/SP.J.1006.2015.00187
[19]	WANG S C, BASTEN C J, ZENG Z B . Windows QTL cartographer 2.5 user manual. Department of Statistics, North Carolina State University, Raleigh, NC, 2005.
[20]	曹锡文, 刘兵, 章元明 . 植物数量性状分离分析Windows软件包SEA的研制. 南京农业大学学报, 2013,36(6):1-6. doi: 10.7685/j.issn.1000-2030.2013.06.001
	CAO X W, LIU B, ZHANG Y M . SEA: A software package of segregation analysis of quantitative traits in plants. Journal of Nanjing Agricultural University, 2013,36(6):1-6. (in Chinese) doi: 10.7685/j.issn.1000-2030.2013.06.001
[21]	SONG Q J, MAREK L F, SHOEMAKER R C, LARK K G, CONCIBIDO V C, DELANNAY X, SPECHT J E, CREGAN P B . A new integrated genetic linkage map of the soybean. Theoretical and Applied Genetics, 2004,109:122-128. doi: 10.1007/s00122-004-1602-3 pmid: 14991109
[22]	梁慧珍 . 大豆子粒性状的遗传及QTL分析[D]. 杨凌: 西北农林科技大学, 2006.
	LIANG H Z . Genetic analysis and QTL mapping of seed traits in soybean(Glycine max (L.) Merr)[D]. Yangling: Northwest A＆F University, 2006. ( in Chinese)
[23]	王珍 . 大豆SSR遗传图谱构建及重要农艺性状QTL分析[D]. 南宁: 广西大学, 2004.
	WANG Z . Construction of soybean SSR based map and QTL analysis important agronomic traits[D]. Nanning: Guangxi University, 2004. ( in Chinese)
[24]	MCCOUCH S R, CHO Y G, YANO M, PAUL E, BLINSTRUB M, MORISHIMA H, KINOSHITA T . Report on QTL nome nclature. Rice Genetics Newsletter, 1997,14:11-14.
[25]	王金社, 李海旺, 赵团结, 盖钧镒 . 重组自交家系群体4对主基因加多基因混合遗传模型分离分析方法的建立. 作物学报, 2010,36(2):191-201. doi: 10.3724/SP.J.1006.2010.00191
	WANG J S, LI H W, ZHAO T J, GAI J Y . Establishment of segregation analysis of mixed inheritance model with four major genes plus polygenes in recombinant inbred lines population. Acta Agronomica Sinica, 2010,36(2):191-201. (in Chinese) doi: 10.3724/SP.J.1006.2010.00191
[26]	JANSEN R C , VAN OOIJIEN J M, STAM P, LISTER C, DEAN C. Genotype-by-environment interaction in genetic mapping of multiple quantitative trait loci. Theoretical and Applied Genetics, 1995,91:33-37. doi: 10.1007/BF00220855 pmid: 24169664
[27]	HAGIWARA W E, ONISH K, TAKAMURE I, SANO Y . Transgressive segregation due to linked QTLs for grain characteristics of rice. Euphytica, 2006,150:27-35. doi: 10.1007/s10681-006-9085-8
[28]	WANG Y, CHENG L, LENG J, WU, C, SHAO G, HOU W, HAN T . Genetic analysis and quantitative trait locus identification of the reproductive to vegetative growth period ratio in soybean ( Glycine max(L.) Merr.). Euphytica, 2015,201(2):275-284. doi: 10.1007/s10681-014-1209-y
[29]	LIANG H, YU Y, WANG S, LIAN Y, WANG T, WEI Y, GONG P, LIU X, FANG X, ZHANG M . QTL mapping of isoflavone, oil and protein contents in soybean ( Glycine max L. Merr.) [D]. Agricultural Science in China, 2010,9(8):1108-1116.
[30]	梁慧珍, 余永亮, 杨红旗, 许兰杰, 董薇, 牛永光, 张海洋, 刘学义, 方宣钧 . 大豆异黄酮及其组分含量的遗传分析与QTL检测. 作物学报, 2015,41(9):1372-1383. doi: 10.3724/SP.J.1006.2015.01372
	LIANG H Z, YU Y L, YANG H Q, XU L J, DONG W, NIU Y G, ZHANG H Y, LIU X Y, FANG X J . Genetic analysis and QTL mapping of isoflavone contents and its components in soybean. Acta Agronomica Sinica, 2015,41(9):1372-1383. (in Chinese) doi: 10.3724/SP.J.1006.2015.01372
[31]	RIZAL G, KARKI S, WANG Y, CHENG L, LENG J, WU C, SHAO G, HOU W, HAN T . Genetic analysis and quantitative trait locus identification of the reproductive to vegetative growth period ratio in soybean ( Glycine max (L.) Merr.). Euphytica, 2015,201(2):275-284. doi: 10.1007/s10681-014-1209-y
[32]	RIZAL G, KARKI S . Alcohol dehydrogenase (ADH) activity in soybean (Glycine max(L.) Merr.) under flooding stress. Electronic Journal of Plant Breeding, 2011,2(1):50-57.
[33]	梁慧珍, 董薇, 许兰杰, 余永亮, 杨红旗, 谭政伟, 许阳, 陈鑫伟 . 不同氮磷钾处理大豆苗期主根长和侧根数的QTL定位分析. 中国农业科学, 2017,50(18):3450-3460. doi: 10.3864/j.issn.0578-1752.2017.18.002
	LIANG H Z, DONG W, XU L J, YU Y L, YANG H Q, TAN Z W, XU Y, CHEN X W . QTL mapping for main moot length and lateral root number in soybean at the seedling stage in different N, P and K environments. Scientia Agricultura Sinica, 2017,50(18):3450-3460. doi: 10.3864/j.issn.0578-1752.2017.18.002
[34]	DU W, YU D, FU S . Analysis of QTLs for the trichome density on the upper and downer surface of leaf blade in soybean [Glycine max(L.) Merr.]. Agricultural Science in China, 2009,8(5):529-537. doi: 10.1016/S1671-2927(08)60243-6
[35]	梁慧珍, 余永亮, 杨红旗, 张海洋, 董薇, 崔暐文, 巩鹏涛, 方宣钧 . 幼苗期大豆根系性状的遗传分析与QTL检测. 中国农业科学, 2014,47(9):1681-1691. doi: 10.3864/j.issn.0578-1752.2014.09.003
	LIANG H Z, YU Y L, YANG H Q, ZHANG H Y, DONG W, CUI W W, GONG P T, FANG X J . Genetic and QTL analysis of root traits at seedling stage in soybean [ Glycine max( L.) Merr.]. Scientia Agricultura Sinica, 2014,47(9):1681-1691. (in Chinese) doi: 10.3864/j.issn.0578-1752.2014.09.003
[36]	李海燕 . 大豆维生素E含量的遗传分析及QTL定位[D]. 哈尔滨: 东北林业大学, 2010.
	LI H Y . Genetic and QTL analysis of the content of vitamin E in soybean[D]. Harbin: Northeast Forestry University, 2010. ( in Chinese)
[37]	方宣钧, 吴为人, 唐纪良 . 作物DNA标记辅助育种. 北京: 科学技术出版社, 2001.
	FANG X J, WU W R, TANG J L. Molecular Marker Assistant Breeding in Crop. Beijing: Science Press, 2001. ( in Chinese)
[38]	SONG K, SLOCUM M K, OSBORN T C . Molecular marker analysis of genes controlling morphological variation in Brassica rapa(syn. campestris). Theoretical and Applied Genetics, 1995,90:1-10. doi: 10.1007/BF00220989 pmid: 24173777
[39]	LI Z , PINSON S R M, STANSEL J W. Identification of quantitative trait loci (QTLs) for heading date and plant height in cultivated rice ( Oryza sativa L.). Theoretical and Applied Genetics, 1995,91:374-381. doi: 10.1007/BF00220902 pmid: 24169788

Related Articles 15

[1]	PENG TingShen, LU JiuYan, WU MeiLin, YAN YuXin, LIU HongZhou, NAN WenBin, QIN XiaoJian, LI Ming, GONG JunYi, LIANG YongShu. QTL Analysis of Yield-Related Traits in Both Huangnuo2^# and Changbai7^# of Perennial Chinese Rice [J]. Scientia Agricultura Sinica, 2026, 59(7): 1361-1379.
[2]	LI YongJuan, ZHANG YueTong, WANG YiBo, ZHAO ChangJiang, SONG Jie, CHEN XueLi, YAO Qin. Effects of Biochar Application on the Abundance and Community Composition of Nitrogen-Fixing Microbial nifH Gene in Soybean Rotation and Continuous Cropping Systems [J]. Scientia Agricultura Sinica, 2026, 59(6): 1272-1285.
[3]	WU YuanYuan, LÜ ShuWen, ZHANG ZiJun, WANG Tao, ZHANG YiMing, BU LingChao, ZOU QingDao, JIANG Jing. Mixed Major Gene+Polygene Genetic Analysis of Blossom-End Scar Size in Tomato Fruit [J]. Scientia Agricultura Sinica, 2026, 59(5): 1060-1069.
[4]	LIU FangDong, SUN Lei, WANG WuBin, ZHAO JinMing, GAI JunYi. Changes of Cropping System and Suggestions on Ecological Cultivation Regions of Soybeans in China [J]. Scientia Agricultura Sinica, 2026, 59(3): 486-498.
[5]	CAI TingYang, ZHU YuPeng, LI RuiDong, WU ZongSheng, XU YiFan, SONG WenWen, XU CaiLong, WU CunXiang. Effects of Leaf-Cutting at Seedling Stage on Photosynthetic Characteristics, Pod Distribution and Yield Formation in Soybean in the Huang-Huai-Hai Region [J]. Scientia Agricultura Sinica, 2026, 59(2): 292-304.
[6]	YE MeiJin, CHEN JiaTing, ZHOU JieGuang, YIN Li, HU XinRong, LAN YuXin, CHEN Bin, SU LongXing, LIU JiaJun, LIU TianChao, LI XiaoYu, MA Jian. Identification, Validation and Genetic Effect Analysis of Major QTL for Spike Density in Wheat [J]. Scientia Agricultura Sinica, 2026, 59(1): 17-28.
[7]	WU Qiong, XIE XiangTing, WANG Lei, MOU Yong, LI JinWei. Development and Validation of Event-Specific PCR Method for the Quantification of Genetically Modified Soybean DBN8205 [J]. Scientia Agricultura Sinica, 2026, 59(1): 29-40.
[8]	CHEN BingRu, TANG YuJie, ZHANG LiXia, ZHOU YuFei, YU Miao, SHI GuiShan, WANG XinDing, LI Yang, GAO ShiJie, LU XiaoChun, WANG Nai, DIAO XianMin. The Green Revolution of Chinese Grain Hybrid Sorghum [J]. Scientia Agricultura Sinica, 2025, 58(8): 1494-1507.
[9]	LIU LuPing, HU XueJie, QI Jin, CHEN Qiang, LIU Zhi, ZHAO TianTian, SHI XiaoLei, LIU BingQiang, MENG QingMin, ZHANG MengChen, HAN TianFu, YANG ChunYan. Cloning of the Promoters and Analysis of Expression Patterns of Maturity Genes E1 and E2 in Soybean [J]. Scientia Agricultura Sinica, 2025, 58(5): 840-850.
[10]	YANG YongQing, HU PengJu, SONG YaHui, JIN XinXin, SU Qiao, WANG Jin. QTL Mapping of Quality Traits for A Peanut Germplasm SW9721-3 with Ultra-High Oil Content [J]. Scientia Agricultura Sinica, 2025, 58(4): 635-646.
[11]	ZHENG Yu, CHEN Yi, TI JinSong, SHI LongFei, XU XiaoBo, LI YuLin, GUO Rui. Evaluation of Carbon Footprint and Economic Benefit of Different Tobacco Rotation Patterns [J]. Scientia Agricultura Sinica, 2025, 58(4): 733-747.
[12]	LI Lu, XIE Zhuang, XIE KeYing, ZHANG Han, ZHAO ZhuoWen, XIANG AoNi, LI QiaoLong, LING YingHua, HE GuangHua, ZHAO FangMing. Construction of Single and Dual-Segment Substitution Lines from Rice CSSL-Z492 and Genetic Dissection of QTL for Grain Size [J]. Scientia Agricultura Sinica, 2025, 58(3): 401-415.
[13]	ZHANG Qi, XUE FuZhen, YANG XiuJie, JIANG SuYang, HUANG XueJuan, MA JiaYi, ZHANG ZheWen, XU JieFei. Study on the Function of Soybean Nicotinamide Enzyme GmNIC1 Gene Under Saline Alkali Stress [J]. Scientia Agricultura Sinica, 2025, 58(24): 5128-5142.
[14]	MA HeXiao, GE GuoLong, ZHANG XiangQian, LU ZhanYuan, WANG ManXiu, RONG MeiRen, SHI JingJing, ZHANG DeJian, SUN XuePing. Effects of Different Crop Rotation Systems on Soil Readily Oxidized Organic Carbon and Carbon Pool Activity Differences [J]. Scientia Agricultura Sinica, 2025, 58(24): 5201-5215.
[15]	GAO ChunHua, ZHAO HaiJun, ZHAO FengTao, KONG WeiLin, JU FeiYan, LI ZongXin, SHI DeYang, LIU Ping. Effect of Growth Regulators on the Stem Characteristics and Yield of Summer Maize in Maize-Soybean Strip Intercropping [J]. Scientia Agricultura Sinica, 2025, 58(23): 4920-4935.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

年份 Year	平均值Mean		亲本差P₂—P₁		t值t value		RIL变幅RIL range		GCV（%）		遗传率h²
年份 Year	原阳 Yuanyang	三亚 Sanya	原阳 Yuanyang	三亚 Sanya	原阳 Yuanyang	三亚 Sanya	原阳 Yuanyang	三亚 Sanya	原阳 Yuanyang	三亚 Sanya	原阳 Yuanyang	三亚 Sanya
2011	1.68	1.73	-0.68	-0.72	5.22**	5.93**	1.17—2.67	1.07—2.44	22.65	18.30	62.02	68.37
2012	1.71	1.68	-0.70	-0.64	6.17**	4.97**	1.02—3.47	1.27—2.47	24.44	18.25	67.21	77.35
2015	1.74	1.85	-0.71	-0.79	5.32**	7.05**	1.07—3.20	1.03—2.68	25.29	19.76	70.03	75.91
平均值Mean	1.71	1.75	-0.70	-0.72	6.29**	7.83**	1.02—3.47	1.03—2.68	23.98	18.72	68.52	73.53

变异Variation	Df	SS	MS	F	F_0.05
年份间Year	2	0.0551	0.0551	<1
地点间Location	1	0.0070	0.0035	<1
基因型Genotypes	117	31.1280	0.2661	2.0034*	1.871
年份×地点Year×Location	2	0.1497	0.0749	<1
年份×基因Year×Genotypes	234	55.4814	0.2371	1.7854	1.830
地点×基因Location×Genotypes	117	16.5170	0.1412	1.0633	1.871
年份×地点×基因Year×Location×Genotypes	234	22.9903	0.0982	<1
误差 Error	702	93.2256	0.1328

参数 Parameter		α-生育酚α-TOC		参数 Parameter		α-生育酚α-TOC
参数 Parameter		原阳Yuanyang	三亚Sanya	参数 Parameter		原阳Yuanyang	三亚Sanya
最适模型Optimal model		4MG-AI				4MG-AI
一阶参数1st order parameter				二阶参数2nd order parameter
M	2011	0.8822	0.8724	σ_p²	2011	0.7701	0.8051
	2012	0.9814	1.6881		2012	0.8221	0.0937
	2015	0.9917	0.8798		2015	0.8468	0.7472
d(da)	2011	0.8542	0.8727	σ_mg²	2011	0.7684	0.8041
	2012	0.8786	0.1906		2012	0.8178	0.0899
	2015	0.9900	0.8796		2015	0.8447	0.7455
db	2011	0.1392	0.1832	σ_pg²	2011
	2012	0.1792	0.0674		2012
	2015	0.2319	0.1563		2015
dc	2011	0.0728	0.0852	h²_mg(%)	2011	99.78	99.87
	2012	0.1864	0.0054		2012	99.48	95.95
	2015	0.1722	0.1180		2015	99.75	99.77
dd	2011	-0.0975	-0.0446	h_pg² (%)	2011
	2012	-0.0835	-0.0364		2012
	2015	-0.1217	-0.0772		2015
iab(i^*)	2011	0.1392	0.1832
	2012	0.1792	0.1679
	2015	0.2319	0.1563
iac	2011	0.0728	0.0852
	2012	0.1864	0.0794
	2015	0.1722	0.1180
iad	2011	-0.0975	-0.0446
	2012	-0.0835	-0.0967
	2015	-0.1217	-0.0772
ibc	2011	0.0279	0.007
	2012	0.1083	0.0286
	2015	0.0125	0.0085
ibd	2011	-0.0658	-0.0059
	2012	-0.1309	-0.0938
	2015	-0.0083	-0.007
icd	2011	-0.0276	-0.0052
	2012	-0.1028	-0.0077
	2015	-0.0125	-0.0034

年份 Year	环境 Environment	QTL	染色体 Chr.	标记区间 Marker Interval	位置 Position (cM)	LOD	加性效应 Additive	R² (%)
2011	原阳Yuanyang	qα-A2-1	A2(8)	Sat_129—Satt377	44.53	3.75	-0.195	23.18
		qα-D2-1	D2(17)	Satt372—Satt154	0.01	2.62	0.147	12.82
		qα-A2-2	A2(7)	Satt333—Satt327	93.50	3.93	0.182	21.07
		qα-D1a-1	D1a(1)	Satt320—Satt254	19.79	2.63	0.125	12.55
	三亚Sanya	qα-D1a-3	D1a(1)	Satt267—Satt402	28.98	4.11	0.140	17.05
		qα-A2-1	A2(8)	Sat_129—Satt377	44.53	3.71	-0.190	22.56
2012	原阳Yuanyang	qα-D1b-1	D1b(2)	Satt041—Satt546	14.84	2.52	-0.736	8.35
		qα-C2-2	C2(6)	Satt100—Satt134	100.60	3.05	-0.143	21.10
		qα-D1a-1	D1a(1)	Satt320—Satt254	19.79	2.70	0.131	12.01
	三亚Sanya	qα-A1-1	A1(5)	Satt545—Satt511	114.35	5.06	-0.191	35.78
		qα-C2-1	C2(6)	Satt577—Satt100	98.36	4.10	-0.129	17.07
		qα-D1a-1	D1a(1)	Satt320—Satt254	19.79	2.53	0.119	11.89
		qα-D1a-2	D1a(1)	Satt179—Satt267	24.23	2.88	0.120	12.33
2015	原阳Yuanyang	qα-D1a-1	D1a(1)	Satt320—Satt254	19.79	2.72	0.132	12.61
		qα-A2-1	A2(8)	Sat_129—Satt377	44.53	3.21	-0.180	23.01
	三亚Sanya	qα-B2-1	B2(14)	Satt070—Satt534	86.20	3.18	-0.964	20.46
		qα-J_2-1	J_2(16)	Satt380—Satt183	0.01	2.71	-0.687	16.90

Inheritance and QTL Mapping for α-Tocopherol in Soybean

RichHTML

PDF