欢迎访问作物学报，今天是
作物学报

作物学报 ›› 2020, Vol. 46 ›› Issue (01): 52-61.doi: 10.3724/SP.J.1006.2020.91024

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

大麦重组自交系群体籽粒总花色苷含量和千粒重QTL定位

杨晓梦1,2,李霞1,2,普晓英1,2,杜娟1,2,Muhammad Kazim Ali3,杨加珍1,2,曾亚文1,2,*(),杨涛1,2   

  1. 1 云南省农业科学院生物技术与种质资源研究所, 云南昆明 650205
    2 云南省农业生物技术重点实验室, 云南昆明 650205
    3 卡拉奇乌尔都艺术与科技大学生物技术系, 卡拉奇 75300, 巴基斯坦
  • 收稿日期:2019-03-18 接受日期:2019-08-09 出版日期:2020-01-12 网络出版日期:2019-09-18
  • 通讯作者: 曾亚文
  • 作者简介:杨晓梦, E-mail: yxm89ccf@126.com
  • 基金资助:
    本研究由云南省应用基础研究计划项目(2017FD021);国家现代农业产业技术体系建设专项资助(CARS-05-01A-04)

QTL mapping for total grain anthocyanin content and 1000-kernel weight in barley recombinant inbred lines population

YANG Xiao-Meng1,2,LI Xia1,2,PU Xiao-Ying1,2,DU Juan1,2,Muhammad Kazim Ali3,YANG Jia-Zhen1,2,ZENG Ya-Wen1,2,*(),YANG Tao1,2   

  1. 1 Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, Yunnan, China
    2 Agricultural Biotechnology Key Laboratory of Yunnan Province, Kunming 650205, Yunnan, China
    3 Department of Biotechnology, Fedural Urdu University of Arts, Science and Technology, Karachi 75300, Pakistan
  • Received:2019-03-18 Accepted:2019-08-09 Published:2020-01-12 Published online:2019-09-18
  • Contact: Ya-Wen ZENG
  • Supported by:
    This study was supported by Yunnan Applied Basic Research Projects of China(2017FD021);China Agriculture Research System(CARS-05-01A-04)

RichHTML

16

PDF

364

摘要：

以云南特有的紫色大麦紫光芒裸二棱和澳大利亚引进的黄色大麦Schooner构建的193个重组自交系为材料, 对 2013—2015年3年3个试验点的大麦籽粒总花色苷含量和千粒重进行相关性分析和QTL定位。大麦总花色苷含量和千粒重之间呈显著或极显著负相关。共检测到12个总花色苷含量QTL, 分别位于1H、2H、4H、6H和7H染色体, 贡献率为5.06%~23.86%; 8个千粒重QTL, 分别位于2H、4H和7H染色体, 贡献率为4.67%~42.32%。贡献率大于10%的QTL有10个, 大于20%的有5个, 最大的可达42.32%。其中至少2年2点重复检测到2个总花色苷含量QTL, 分别位于2H Bmag0125-GBM1309和7H EBmatc0016-Bmag0206区间, 可分别解释表型变异的13.66%~17.76%和13.07%~16.43%; 3年3点重复检测到2个千粒重QTL, 分别位于2H Scssr03381-scssr07759和7H GBM1297-GBM1303区间, 可分别解释表型变异的4.67%~14.55%和34.51%~42.32%, 其加性作用方向均一致。控制总花色苷含量与千粒重的主效QTL同位于2H和7H染色体。

关键词: 大麦重组自交系, 总花色苷含量, 千粒重, 相关性, QTL定位

Abstract:

In this study, 193 recombinant inbred lines (RILs) derived from a cross between Ziguangmangluoerleng (purple barley, endemic to Yunnan, China) and Schooner (yellow barley introduced from Australia), grown at three sites of Yunnan province of China for three consecutive years (2013-2015), were used to determine total grain anthocyanin content, 1000-kernel weight and their correlations, and mapped QTLs. There was a significant negative correlation between total grain anthocyanin content and 1000-kernel weight. Twelve QTLs for total grain anthocyanin content were located on chromosomes 1H, 2H, 4H, 6H, and 7H which showed 5.06% to 23.86% of phenotypic variation. Eight QTLs for 1000-kernel weight were located on chromosomes 2H, 4H, and 7H, which explained phenotypic variation from 4.67% to 42.32%. Ten QTLs had phenotypic variation ≥10% and five QTLs ≥ 20%, while the highest phenotypic variation was 42.32%. In addition, two QTLs for total grain anthocyanin content were repeatedly detected at two sites for two years, and located on 2H Bmag0125 to GBM1309 and 7H EBmatc0016 to Bmag0206 interval, respectively, which accounted for 13.66% to 17.76%, and 13.07% to 16.43% of the phenotypic variation, respectively. Two QTLs for 1000-kernel weight were repeatedly detected at three sites for three years and located on 2H scssr03381 to scssr07759 and 7H GBM1297 to GBM1303 interval, which showed 4.67% to 14.55% and 34.51% to 42.32% of phenotypic variations, respectively, and their contribution rates of additive effects were consistent. The common major QTLs for two agronomic attributes were mainly distributed on chromosomes 2H and 7H. These results provide a basis for further fine mapping, cloning and marker-assisted breeding of beneficial genes related to total grain anthocyanin content and 1000-kernel weight.

Key words: barley RIL, total anthocyanin content, 1000-kernel weight, correlation, QTL mapping

表1

大麦籽粒总花色苷和千粒重表型值"

性状
Trait		 地点和年份
Site and year		 亲本Parents RIL群体 RIL population
紫光芒裸二棱
ZGMLEL		 Schooner 平均值
Mean		 标准差
SD		 变幅
Range		 变异系数
CV (%)		 偏度
Skewness		 峰度
Kurtosis
总花色苷含量
TAC (mg g-1)		 玉溪 Yuxi, 2013 0.96 0.48 0.65 C 0.22 0.36-1.38 33.85 1.22 0.75
白邑 Baiyi, 2014 1.03 0.63 0.79 B 0.21 0.50-1.50 26.58 1.33 1.09
嵩明 Songming, 2015 1.14 0.70 0.84 A 0.21 0.50-1.58 25.00 1.14 0.81
千粒重
TKW (g)		 玉溪 Yuxi, 2013 35.50 46.00 45.55 C 6.01 31.65-58.00 13.19 -0.34 -0.62
白邑 Baiyi, 2014 33.35 42.55 44.00 B 6.64 23.05-60.50 15.09 -0.28 -0.35
嵩明 Songming, 2015 31.00 40.05 42.36 A 7.53 25.00-57.60 17.78 -1.10 4.00

图1

大麦籽粒总花色苷含量和千粒重的次数分布 横坐标分别代表3年3个试验点(玉溪2013、白邑2014和嵩明2015年)大麦RIL群体总花色苷含量和千粒重; 纵坐标分别代表大麦RIL群体总花色苷含量和千粒重的株系数。"

表2

大麦籽粒总花色苷含量和千粒重的相关系数"

性状
Trait		 地点和年份
Site and year		 总花色苷含量 Total grain anthocyonin content 千粒重 1000-kernel weight
玉溪
Yuxi 2013		 白邑
Baiyi 2014		 嵩明
Songming 2015		 玉溪
Yuxi 2013		 白邑
Baiyi 2014		 嵩明
Songming 2015
总花色苷含量
TAC		 玉溪Yuxi 2013 1.00
白邑Baiyi 2014 0.918** 1.00
嵩明Songming 2015 0.873** 0.833** 1.00
千粒重
TKW		 玉溪Yuxi 2013 -0.223** -0.151* -0.233** 1.00
白邑Baiyi 2014 -0.163* -0.130 -0.174* 0.832** 1.00
嵩明Songming 2015 -0.146* -0.064 -0.173* 0.775** 0.720** 1.00

表3

大麦籽粒总花色苷含量和千粒重的QTL分析"

地点和年份
Site and year		 性状
Trait		 QTL 连锁群
Chr.		 标记区间
Marker interval		 LOD值
LOD value		 贡献率
Contribution (%)		 加性效应
Additive
玉溪 Yuxi
2013		 总花色苷
TAC		 qTAC-1H 1H GBM1234-Bmag0504 4.04 5.91 0.055
qTAC-2H 2H Bmag0125-GBM1309 10.42 13.66 0.080
qTAC-4H 4H HVBAMMGB84-BMAG0808 5.21 6.23 -0.054
qTAC-6H 6H GBMS0072-GBM1270 4.06 7.68 0.061
qTAC-7H 7H EBmatc0016-Bmag0206 9.82 13.07 -0.079
千粒重
TKW		 qTKW-2H 2H Scssr03381-scssr07759 7.54 14.55 -2.293
qTKW-4H 4H Scssr20569-Bmag0781 3.81 4.73 1.396
qTKW-7H 7H GBM1297-GMS056 26.14 42.32 -4.390
白邑 Baiyi
2014		 总花色苷
TAC		 qTAC-2H 2H Bmag0125-GBM1309 11.38 17.76 0.089
qTAC-4H 4H GBM1221-GBM1501 3.58 5.06 0.049
qTAC-6H 6H BMAG0807-GBM1212 4.08 6.49 0.054
qTAC-7H 7H EBmatc0016-Bmag0206 9.24 16.43 -0.085
千粒重
TKW		 qTKW-2Ha 2H Scssr03381-scssr07759 2.75 4.67 -1.434
qTKW-2Hb 2H Bmag0749-GBMS0128 4.59 7.70 -1.839
qTKW-7H 7H GMS056-GBM1303 18.73 34.51 -4.250
嵩明 Songming 2015 总花色苷
TAC		 qTAC-2H 2H GBM1121-Bmag0125 12.16 20.09 0.095
qTAC-6H 6H GBM1212-Bmag0173 3.77 6.24 0.053
qTAC-7H 7H GBM1516-EBmatc0016 12.01 23.86 -0.104
千粒重
TKW		 qTKW-2H 2H Scssr03381-scssr07759 2.50 5.39 -1.599
qTKW-7H 7H GMS056-GBM1303 17.37 35.37 -4.569

图2

大麦籽粒总花色苷含量和千粒重QTL 在染色体上的分布 三角形图案表示总花色苷含量QTL, 五角星图案表示千粒重QTL。白色、灰色和黑色图案分别表示在玉溪(2013年)、白邑(2014年)和嵩明(2015年)检测到的QTL。图中右侧标示的是2H和7H部分分子标记对应的物理位置。"

[1] Zhu F . Anthocyanins in cereals: composition and health effects. Food Res Internat, 2018,109:232-249.
doi: 10.1016/j.foodchem.2019.125304 pmid: 31394335
[2] 华为, 朱靖环, 尚毅, 贾巧君, 汪军妹, 杨建明 . 有色大麦研究进展. 植物遗传资源学报, 2013,14:1020-1024.
Hua W, Zhu J H, Shang Y, Jia Q J, Wang J M, Yang J M . Research advances in colored barley. J Plant Genet Resour, 2013,14:1020-1024 (in Chinese with English abstract).
[3] Ma LY, Sun Z H, Zeng Y W, Luo M C, Yang J Z . Molecular mechanism and health role of functional ingredients in blueberry for chronic disease in human beings. Internat J Mol Sci, 2018,19:1-19.
doi: 10.3390/ijms19092785 pmid: 30223619
[4] Khlestkina E . The adaptive role of flavonoids: emphasis on cereals. Cereal Res Commun, 2013,41:185-198.
doi: 10.1556/CRC.2013.0004
[5] 杜连起, 李润丰 . 黑大麦营养价值及其开发利用. 粮食与油脂, 2001, (2):40-41.
Du L Q, Li R F . Nutritional value and development of black barley. Cereals Oils, 2001, (2):40-41 (in Chinese with English abstract).
[6] Martínez M, Motilva M J, de las Hazas M L, Romero M P, Vaculova K, Ludwig I A . Phytochemical composition and β-glucan content of barley genotypes from two different geographic origins for human health food production. Food Chem, 2018,245:61-70.
doi: 10.1016/j.foodchem.2017.09.026 pmid: 29287416
[7] Deng G F, Xu X R, Zhang Y, Li D, Gan R Y, Li H B . Phenolic compounds and bioactivities of pigmented rice. Critic Rev Food Sci Nutr, 2013,53:296-306.
doi: 10.1080/10408398.2010.529624 pmid: 23216001
[8] Cimino F, Ambra R, Canali R, Saija A, Virgili F . Effect of cyanidin-3-O-glucoside on UVB-Induced response in human keratinocytes. J Agric Food Chem, 2006,54:4041-4047.
doi: 10.1021/jf060253x pmid: 16719532
[9] 李静烨, 王楠, 陈升位, 吴亚琼, 王茹媛, 沈真辉, 莫凡 . 不同大麦品种(或品系) 3个穗部性状的差异分析和QTLs检测. 分子植物育种, 2018,16:3973-3979.
Li J Y, Wang N, Chen S W, Wu Y Q, Wang R Y, Shen Z H, Mo F . Difference analysis and QTLs detection on three spike traits of different barley varieties (or strains). Mol Plant Breed, 2018,16:3973-3979 (in Chinese with English abstract).
[10] Kim M J, Hyun J N, Kim J A, Park J C, Kim M Y, Kim J G, Lee S J, Chun S C, Chung I M . Relationship between phenolic compounds, anthocyanins content and antioxidant activity in colored barley germplasm. J Agric Food Chem, 2007,55:4802-4809.
doi: 10.1021/jf0701943 pmid: 17516656
[11] Mayler J I, Stanford E H . Color inheritance in barley. J Am Soc Agric, 1942,34:427-436.
doi: 10.1186/s12870-015-0524-3 pmid: 25998066
[12] Woodward R W, Thieret J W . A genetic study of complementary genes for purple lemma, palea and pericarp in barley (Hordeum vulgare L.). Agron J, 1953,45:182-185.
doi: 10.2134/agronj1953.00021962004500050002x
[13] Choo T M, Vigier B, Ho K M, Ceccarelli S, Grando S, Franckowiak J D . Comparison of black, purple and yellow barleys. Genet Resour Crop Evol, 2005,52:121-126.
doi: 10.1007/s10722-003-3086-4
[14] Finch R A, Simpson E . New colours and complementary colour genes in barley. Zeitschrift Fuer Pflanzenzuechtung, 1978,81:40-53.
[15] Strygina K V, Börner A, Khlestkina E K . Identification and characterization of regulatory network components for anthocyanin synthesis in barley aleurone. BMC Plant Biol, 2017,17:109-117.
doi: 10.1186/s12870-017-1052-0 pmid: 28645264
[16] Lundqvist U, Franckowiak J D, Konishi T . New and revised descriptions of barley genes. Barley Genet Newslett, 1997,26:22-516.
[17] Jia Q J, Zhu J H, Wang J M, Yang J M, Zhang G P . Genetic mapping and molecular marker development for the genePre2 controlling purple grains in barley. Euphytica, 2016,208:215-223.
doi: 10.1007/s10681-015-1593-y
[18] Shoeva O Y, Mock H P, Kukoeva T V, Börner A, Khlestkina E K . Regulation of the flavonoid biosynthesis pathway genes in purple and black grains of hordeum vulgare. PLoS One, 2016,11:1-16.
doi: 10.1371/journal.pone.0163782 pmid: 27706214
[19] 杜欢, 张颖, 薛梦瑶, 靖姣姣, 白志英, 李存东 . 大麦株高近等基因系的籽粒性状差异及相关分析. 华北农学报, 2015,30(5):97-103.
doi: 10.7668/hbnxb.2015.05.016
Du H, Zhang Y, Xue M Y, Jing J J, Bai Z Y, Li C D . Difference and correlation analysis of grain traits in the near-isogenic line of plant height of barley. Acta Agric Boreali-Sin, 2015,30(5):97-103 (in Chinese with English abstract).
doi: 10.7668/hbnxb.2015.05.016
[20] 张小燕, 张跃进, 潘高峰 . 日本不同棱型大麦种质资源农艺性状的差异. 麦类作物学报, 2006,26(6):39-41.
Zhang X Y, Zhang Y J, Pan G F . Study on germplasm resource among different rowed barley. J Triticeae Crops, 2006,26(6):39-41 (in Chinese with English abstract).
[21] 李喜焕, 常文锁, 张彩英, 李保元, 马峙英 . 引进春播啤酒大麦品种生育时期及产量性状鉴定与筛选. 河北农业大学学报, 2007,30(3):22-25.
Li X H, Chang W S, Zhang C Y, Li B Y, Ma Z Y . The evaluation on growing stages and yield traits of seven introduced malting beer barley varieties. J Agric Univ Hebei, 2007,30(3):22-25 (in Chinese with English abstract).
[22] 吕毅 . 青藏高原一年生野生大麦若干农艺性状的QTL定位. 华中农业大学硕士学位论文, 湖北武汉, 2007. pp 18-25.
Lyu Y . QTL Analysis of Some Agronomic Traits in Qing-Tibetan Plateau Annual Wild Barley. MS Thesis of Huazhong Agricultural University, Wuhan, Hubei, China, 2007. pp 18-25 (in Chinese with English abstract).
[23] 王建林, 冯西博, 付刚, 侯维海, 王改花, 大次卓嘎, 钟志明 . 青藏高原栽培大麦千粒重空间分布格局及其与环境因子的关系. 生态学报, 2018,38:1114-1123.
doi: 10.5846/stxb201612022483
Wang J L, Feng X B, Fu G, Hou W H, Wang G H , Dacizhuoga, Zhong Z M. Relationship between spatial distribution pattern and factors affecting weight per 1000-seeds of cultivated barley in Qinghai-Tibet Plateau. Acta Ecol Sin, 2018,38:1114-1123 (in Chinese with English abstract).
doi: 10.5846/stxb201612022483
[24] Chen G D, Li H B, Zheng Z, Wei Y M, Zheng Y L, Mclntyre C L, Zhou M X, Liu C J . Characterization of a QTL affecting spike morphology on the long arm of chromosome 3H in barley (Hordeum vulgare L.) based on near isogenic lines and a NIL-derived population. Theor Appl Genet, 2012,125:1385-1392.
doi: 10.1007/s00122-012-1918-3
[25] Hori K, Kobayashi T, Shimizu A, Sato K, Takeda K, Kawasaki S . Efficient construction of high-density linkage map and its application to QTL analysis in barley. Theor Appl Genet, 2003,107:806-813.
doi: 10.1007/s00122-003-1342-9
[26] Baghizadeh A, Taleei A, Naghavi M . QTL analysis for some agronomic traits in barley (Hordeum vulgare L.). Internat J Agric Biol, 2007,9:372-374.
doi: 10.1186/s12863-018-0665-0 pmid: 30092756
[27] Wang J, Sun G, Ren X, Li C, Liu L, Wang Q, Du B, Sun D . QTL underlying some agronomic traits in barley detected by SNP markers. BMC Genet, 2016,17:1-13.
doi: 10.1186/s12863-015-0315-8 pmid: 26866367
[28] Ashikari M, Sakakibara H, Lin S, Yamamoto T, Takashi T, Nishimura A, Angeles E R, Qian Q, Kitano H, Matsuoka M . Cytokinin oxidase regulates rice grain production. Science, 2005,309:741-745.
doi: 10.1126/science.1113373 pmid: 15976269
[29] 覃鸿妮, 晏萌, 王召辉, 郭莹, 王辉, 孙海燕, 刘志斋, 蔡一林 . 玉米籽粒中花色苷和黑色素含量的QTL分析. 作物学报, 2012,38:275-284.
doi: 10.3724/SP.J.1006.2012.00275
Qin H N, Yan M, Wang Z H, Guo Y, Wang H, Sun H Y, Liu Z Z, Cai Y L . QTL mapping for anthocyanin and melanin contents in maize kernel. Acta Agron Sin, 2012,38:275-284 (in Chinese with English abstract).
doi: 10.3724/SP.J.1006.2012.00275
[30] Hosseinian F S, Li W, Beta T . Measurement of anthocyanins and other phytochemicals in purple wheat. Food Chem, 2008,109:916-924.
doi: 10.1016/j.foodchem.2007.12.083 pmid: 26050008
[31] Zeng Y W, Du J, Yang X M, Pu X Y, Wang L X, Yang J Z, Du L J, Yang T, Yang S M, Sun Z H . Identification of quantitative trait loci for mineral elements in grains and grass powder of barley. Genet Mol Res, 2016,15(4):1-13.
doi: 10.4238/gmr15049103 pmid: 27966755
[32] Li H H, Ribaut J M, Li Z L, Wang J K . Inclusive composite interval mapping (ICIM) for digenic epistasis of quantitative traits in biparental populations. Theor Appl Genet, 2008,116:243-260.
doi: 10.1007/s00122-007-0663-5
[33] 王建康 . 数量性状基因的完备区间作图方法. 作物学报, 2009,35:239-245.
doi: 10.3724/SP.J.1006.2009.00239
Wang J K . Inclusive composite interval mapping of quantitative trait genes. Acta Agron Sin, 2009,35:239-245 (in Chinese with English abstract).
doi: 10.3724/SP.J.1006.2009.00239
[34] 孙明茂, 韩龙植 . 粳稻龙锦1号/香软米1578杂交组合F5家系群糙米总花色苷含量变异及相关性分析. 植物遗传资源学报, 2017,18:186-192.
Sun M M, Han L Z . Variation and correlation analyses of total anthocyanin content of brown rice (Oryza sativa) in F5 lines from japonica rice cross Longjin 1/Xiangruanmi 1578. J Plant Genet Resour, 2017,18:186-192 (in Chinese with English abstract).
[35] 黄莹莹 . 水稻子粒花色苷、矿质元素含量及相关性状的QTL定位. 东北农业大学硕士学位论文, 黑龙江哈尔滨, 2013. pp 1-41.
Huang Y Y . QTL Identification Underlying Anthocyanin and Mineral Elements Content Related Traits in Rice. MS Thesis of Northeast Agricultural University, Harbin, Heilongjiang, China, 2013. pp 1-41 (in Chinese with English abstract).
[36] 王楠, 王家曦, 谢文英, 陈升位, 杨映宝, 王乐 . 25个地方大麦品种籽粒中花色苷成分及其含量差异. 云南农业大学学报, 2015,30:829-835.
Wang N, Wang J X, Xie W Y, Chen S W, Yang Y B, Wang L . Difference of the anthocyanin components and their contents of 25 local barley variety grains. J Yunnan Agric Univ, 2015,30:829-835 (in Chinese with English abstract).
[37] 胡家坤, 谢文英, 陈升位, 王楠, 杨映宝, 王乐 . 25个大麦地方品种籽粒总黄酮和花色苷的含量差异. 云南农业大学学报, 2015,30:522-527.
Hu J K, Xie W Y, Chen S W, Wang N, Yang Y B, Wang L . The content difference of total flavonoids and anthocynin from the grains of 25 local barley varieties. J Yunnan Agric Univ, 2015,30:522-527 (in Chinese with English abstract).
[38] Zheng G Z . Effects of Blackish Purple Colored Seed Coat on Grain Quality and Yield Associated Characters in Rice (Oryza sativa L.). MS Thesis of Seoul University, Seoul, Republic of Korea, 2000. pp 1-41.
[39] 常汇琳 . 水稻花色苷和原花色素含量的QTL分析及与产量性状关系的研究. 东北农业大学硕士学位论文, 黑龙江哈尔滨, 2015. pp 1-55.
Chang H L . QTL Analysis of Anthocyanin and Proanthocyanidin Content and Research on Relationship between Yield Traits in Rice. MS Thesis of Northeast Agricultural University, Harbin, Heilongjiang, China, 2015. pp 1-55 (in Chinese with English abstract).
[40] 杜欢, 马彤彤, 侯晓梦, 张颖, 白志英, 李存东 . 20对大麦株高近等基因系农艺与产量性状差异及相关性分析. 华北农学报, 2016,31(5):114-121.
doi: 10.7668/hbnxb.2016.05.017
Du H, Ma T T, Hou X M, Zhang Y, Bai Z Y, Li C D . Difference and correlation analysis of agronomic and yield characters in twenty pairs near-isogenic line of plant height of barley. Acta Agric Boreali-Sin, 2016,31(5):114-121 (in Chinese with English abstract).
doi: 10.7668/hbnxb.2016.05.017
[41] 张宇, 司二静, 孟亚雄, 马小乐, 李葆春, 王化俊 . 不同来源大麦材料的农艺性状和籽粒蛋白质含量及群体遗传结构分析. 麦类作物学报, 2015,35:940-947.
Zhang Y, Si E J, Meng Y X, Ma X L, Li B C, Wang H J . Analysis on agronomic traits, grain protein content and population structure of barley germplasm from different geographical origins. J Triticeae Crops, 2015,35:940-947 (in Chinese with English abstract).
[42] Bauer A M, Hoti F, Korff M V, Pillen K, Léon J, Sillanpä M J . Advanced backcross: QTL analysis in spring barley (H. vulgare ssp. spontaneum) comparing a REML versus a Bayesian model in multi-environmental field trials. Theor Appl Genet, 2009,119:105-123.
doi: 10.1007/s00122-009-1021-6
[43] 赖勇, 贾建磊, 王晋民, 任龙, 吕仲昱, 朱惠琴, 马辉, 杨莉娜, 李宗仁 . 外引大麦SSR标记遗传多样性及其与农艺性状的关联分析. 麦类作物学报, 2017,37:197-204.
Lai Y, Jia J L, Wang J M, Ren L, Lyu Z Y, Zhu H Q, Ma H, Yang L N, Li Z R . Analysis of genetic diversity and association with agronomic traits in barley (Hordeum vulgare L.) introduced from abroad using SSR markers. J Triticeae Crops, 2017,37:197-204 (in Chinese with English abstract).
[44] Marquez-Cedillo L A, Hayes P M, Kleinhofs A, Legge W G, Jones B L, Rossnagel B G, Sato K, Ullrich S E, Wesenberg D M . QTL analysis of agronomic traits in barley based on the doubled-haploid progeny of two elite North American varieties representing different germplasm groups. Theor Appl Genet, 2001,103:625-637.
doi: 10.1007/PL00002919
[45] Zhang X W, Jiang Q T, Wei Y M, Liu C . Inheritance analysis and mapping of quantitative trait loci (QTL) controlling individual anthocyanin compounds in purple barley (Hordeum vulgare L.) grains. PLoS One, 2017,12(8):e0183704.
doi: 10.1371/journal.pone.0183704 pmid: 28832657
[46] Himi E, Taketa S . Isolation of candidate genes for the barleyAnt1 and wheat Rc genes controlling anthocyanin pigmentation in different vegetative tissues. Mol Genet Genom, 2015,290:1287-1298.
doi: 10.1007/s00438-015-0991-0 pmid: 25585663
[47] 关伟伟 . 大麦主要农艺性状的QTL定位及过氧化物酶、酯酶和细胞色素氧化酶的遗传分析. 华中农业大学硕士学位论文, 湖北武汉, 2011. pp 25-31.
Guan W W . QTL Analysis of Main Agronomic Traits and Inheritance of Isozymes Peroxidase, Esterase and Cytochrome Oxidase in Barley. MS Thesis of Huazhong Agricultural University, Wuhan, Hubei, China, 2011. pp 25-31 (in Chinese with English abstract).
[48] Pillen K, Zacharias A, Léon J . Advanced backcross QTL analysis in barley (Hordeum vulgare L.). Theor Appl Genet, 2003,107:340-352.
doi: 10.1007/s00122-003-1253-9 pmid: 12677407
[49] Beheshtizadeh H, Fakheri B A, Aghnoum R, Mahdinezhad N, Pourdad S S, Masoudi B . QTL mapping of grain yield and its components under normal and drought stress conditions in barley (Hordeum vulgare L.). Ind J Genet, 2018,78:69-80.
[50] 司二静, 张宇, 汪军成, 孟亚雄, 李葆春, 马小乐, 尚勋武, 王化俊 . 大麦农艺性状与SSR标记的关联分析. 作物学报, 2015,41:1064-1072.
doi: 10.3724/SP.J.1006.2015.01064
Si E J, Zhang Y, Wang J C, Meng Y X, Li B C, Ma X L, Shang X W, Wang H J . Association analysis between SSR marker and agronomic traits in barley. Acta Agron Sin, 2015,41:1064-1072 (in Chinese with English abstract).
doi: 10.3724/SP.J.1006.2015.01064
[1] 郑玉珍, 齐飞艳, 孙子淇, 刘华, 秦利, 石磊, 王娟, 汪蒙蒙, 韩锁义, 徐静, 苗利娟, 黄冰艳, 董文召, 郑峥, 张新友. 花生籽仁总超长链脂肪酸和7种脂肪酸组分的QTL定位[J]. 作物学报, 2026, 52(6): 1646-1657.
[2] 刘长友, 王珅, 时会影, 沈颖超, 孙蕾, 王彦, 张志肖, 苏秋竹, 田静, 范保杰. 基于饭豆基因资源的小豆远缘杂交群体抗豆象QTL定位[J]. 作物学报, 2026, 52(3): 936-944.
[3] 马婷婷, 郭晓江, 李豪, 邓梅, 蒲至恩, 李伟, 张亚洲, 王凤涛, 崔凤娟, 魏育明, 王际睿, 蒋云峰, 陈国跃. 利用小麦农家种孝感麦协同改良蜀麦753产量与抗病耐逆性的育种实践[J]. 作物学报, 2026, 52(1): 56-71.
[4] 杨海洋, 吴林宣, 李博纹, 石翰峰, 袁禧龙, 刘金朝, 蔡海荣, 陈诗怡, 郭涛, 王慧. 基于QTL定位发现的OsWRI3调控水稻种子的落粒性[J]. 作物学报, 2025, 51(7): 1712-1724.
[5] 胡蒙, 沙丹, 张晟瑞, 谷勇哲, 张世碧, 李静, 孙君明, 邱丽娟, 李斌. 大豆分枝数QTL定位及候选基因筛选[J]. 作物学报, 2025, 51(7): 1747-1756.
[6] 邵顺伟, 陈卓, 兰振东, 蔡兴奎, 邹华芬, 李晨曦, 唐景华, 朱熙, 张彧, 董建科, 金辉, 宋波涛. 基于BSA-seq技术的块茎芽眼深度QTL定位分析[J]. 作物学报, 2025, 51(7): 1725-1735.
[7] 张金泽, 周庆国, 肖莉晶, 金海润, 欧阳青静, 龙旭, 晏中彬, 田恩堂. 芥菜型油菜不同组织硫苷含量的QTL定位与候选基因分析[J]. 作物学报, 2025, 51(5): 1166-1177.
[8] 雍瑞, 胡文静, 吴迪, 汪尊杰, 李东升, 赵蝶, 尤俊超, 肖永贵, 王春平. 小麦穗粒数QTL分析及其对千粒重多效性评价[J]. 作物学报, 2025, 51(2): 312-323.
[9] 郭淑慧, 潘转霞, 赵战胜, 杨六六, 皇甫张龙, 郭宝生, 胡晓丽, 录亚丹, 丁霄, 吴翠翠, 兰刚, 吕贝贝, 谭逢平, 李朋波. 陆地棉D11染色体一个纤维长度主效位点的遗传解析[J]. 作物学报, 2025, 51(2): 383-394.
[10] 王哲, 胡燕灵, 龚方仪, 易睿, 赵书宏, 刘睿琴, 刘雨杭, 张甜, 张亚洲, 郑有良, 刘登才, 黄林, 伍碧华. 基于16K芯片的野生二粒小麦渗入系BAd7-209籽粒蛋白含量QTL定位[J]. 作物学报, 2025, 51(12): 3238-3250.
[11] 蒋昂辰, 李琰, 李雨晨, 张晶, 陈爱萍. 21份无芒雀麦种质农艺性状及种子产量的综合评价与优异种质筛选[J]. 作物学报, 2025, 51(11): 2958-2970.
[12] 徐晓伟, 冯晶, 王凤涛, 童朝阳, 张建周, 李春盈, 蔺瑞明. 小麦地方品种蚕老麦成株抗条锈病QTL定位[J]. 作物学报, 2025, 51(11): 2933-2943.
[13] 胡亮亮, 周洪妹, 王晓磊, 王素华, 李彩菊, 魏云山, 王丽侠, 程须珍, 陈红霖. 小豆产量相关性状的基因型与环境互作效应及稳定性分析[J]. 作物学报, 2025, 51(10): 2581-2594.
[14] 杨景发, 余鑫莲, 姚有华, 姚晓华, 王蕾, 吴昆仑, 李新. 青稞分蘖角度的QTL定位[J]. 作物学报, 2025, 51(1): 260-272.
[15] 韩丽, 汤胜胜, 李佳, 胡海斌, 刘龙龙, 吴斌. 燕麦SNP高密度遗传图谱构建及β-葡聚糖含量QTL定位[J]. 作物学报, 2024, 50(7): 1710-1718.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备15008789号-2