Please wait a minute...
Journal of Integrative Agriculture  2011, Vol. 10 Issue (7): 987-996    DOI: 10.1016/S1671-2927(11)60085-0
Original Articles Advanced Online Publication | Current Issue | Archive | Adv Search |
Mapping of QTL Associated with Drought Tolerance in a Semi-Automobile Rain Shelter in Maize (Zea mays L.)
National Key Laboratory of Crop Biology, Ministry of Science and Technology/College of Life Sciences, Shandong Agricultural University
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
摘要  Drought is a major constraint in maize production worldwide. We studied quantitative trait loci (QTL) underlying droughttolerance for maize plants grown in two different environments. Traits investigated included ASI, plant height, grain yield,ear height, and ear setting. A genetic linkage map was constructed with 120 simple sequence repeat (SSR) markers basedon an F2 population derived from a cross between D5 (resistant parent) and 7924 (susceptible parent). Correlation andheritability were calculated. QTLs of these traits were identified by composite interval mapping combined with a linkagemap covering 1 790.3 cM. The markers were arranged in ten linkage groups. QTL mapping was made of the mean traitperformance of the 180 F2:3 population. The results showed five, five, six, four, and five QTLs for ASI, plant height, grainyield, ear height, and ear setting under full irrigation condition, respectively, and four, seven, six, four, and four QTLs forASI, plant height, grain yield, ear height, and ear setting under severe late stress conditions, respectively. Especially thefour QTLs detected for five traits in 2008 and 2009. The universal QTLs information generated in this study will aid inundertaking an integrated breeding strategy for further genetic studies in drought tolerance improvement in maize.

Abstract  Drought is a major constraint in maize production worldwide. We studied quantitative trait loci (QTL) underlying droughttolerance for maize plants grown in two different environments. Traits investigated included ASI, plant height, grain yield,ear height, and ear setting. A genetic linkage map was constructed with 120 simple sequence repeat (SSR) markers basedon an F2 population derived from a cross between D5 (resistant parent) and 7924 (susceptible parent). Correlation andheritability were calculated. QTLs of these traits were identified by composite interval mapping combined with a linkagemap covering 1 790.3 cM. The markers were arranged in ten linkage groups. QTL mapping was made of the mean traitperformance of the 180 F2:3 population. The results showed five, five, six, four, and five QTLs for ASI, plant height, grainyield, ear height, and ear setting under full irrigation condition, respectively, and four, seven, six, four, and four QTLs forASI, plant height, grain yield, ear height, and ear setting under severe late stress conditions, respectively. Especially thefour QTLs detected for five traits in 2008 and 2009. The universal QTLs information generated in this study will aid inundertaking an integrated breeding strategy for further genetic studies in drought tolerance improvement in maize.
Keywords:  maize      drought tolerance      simple sequence repeat      quantitative trait loci  
Received: 29 June 2010   Accepted:
Corresponding Authors:  Correspondence WANG Ze-li, Professor, Tel: +86-538-8242656-8402, Fax: +86-538-8226399, E-mail: wangzeli@sdau.edu.cn, zeliwang56123@163.com   

Cite this article: 

ZHU Jing-jing*, WANG Xiao-peng*, SUN Cui-xia, ZHU Xiu-miao, LI Meng, ZHANG Guo-dong, TIAN Yanchen, WANG Ze-li. 2011. Mapping of QTL Associated with Drought Tolerance in a Semi-Automobile Rain Shelter in Maize (Zea mays L.). Journal of Integrative Agriculture, 10(7): 987-996.

[1]       Agrama H A S, Moussa M E. 1996. Mapping QTLs inbreedingfor drought tolerance in maize (Zea may L.). Euphytica, 91,89-97.
[2]       Ajmone Marsan P, Gorni C, ChittòA, Redaelli R, van Vijk R,Stam P, Motto M. 2001. Identification of QTLs for grainyield and grain-related traits of maize (Zea mays L.) using anAFLP map, different testers, and cofactor analysis.Theoretical and Applied Genetics, 102, 230-243.
[3]       Austin D F, Lee M. 1996. Comparative mapping in F2:3 and F6:7generations of quantitative trait loci for grain yield and yieldcomponents in maize. Theoretical and Applied Genetics, 92,817-826.
[4]       Austin D F, Lee M. 1998. Detection of quantitative trait forgrain yield and yield components in maize across generationsin stress and non stress environments. Crop Science, 38,1296-1308.
[5]       Bassam B J, Caetano-Anolles G, Gresshoff P M. 1991. Fast andsensitive silver staining of DNA in olyacrilamide gels.Analytical Biochemistry, 196, 80-83.
[6]       Bolaos J, Edmeades G O. 1996. The importance of the anthesissilkinginterval inbreeding for drought tolerance in tropicalmaize. Field Crops Research, 48, 68-80.
[7]       Bruce W B, Edmeades G O, Barker T C. 2002. Molecular andphysiological approaches to maize improvement for droughttolerance. Journal of Experimental Botany, 53, 13-25.
[8]       Frova C, Krajewski P, Fonzo N D, Villa M, Sari-Gorla M. 1999.Genetic analysis of drought tolerance in maize by molecularmarkers. I. Yield components. Theoretical and AppliedGenetics, 99, 280-288.
[9]       Gao S B, Feng Z L, Li W C, Rong T Z. 2005. Mapping QTLs forroot and yield under drought stress in maize. Acta AgronomicaSinica, 31, 718-722. (in Chinese)
[10]    Hu R F, Erika C H M, Zhang S H, Shi X H. 2003. Prioritizationfor maize research and development in China. Bulletin ofNational Natural Science Foundation of China, 17, 273-276.(in Chinese)
[11]    Hyne V, Kearsey M J, Pike D J, Snape J W. 1995. QTL analysis:unreliability and bias in estimation procedures. MolecularBreeding, 1, 273-282.
[12]    Kosmbi D D. 1944. The estimation of map distances fromrecombination values. Annals of Eugenics, 12, 172-175.
[13]    Lander E S, Green P, Abraharmson J, Barlow A, Daly M J,Lincoln S E, Newburg L. 1987. MAPMAKER: an interactivecomputer package for constructing primary genetic linkagemaps of experimental and natural populations. Genomics, 1,174-181.
[14]    Li X H, Liu X D, Li M S, Zhang S H. 2003. Identification ofquantitative trait loci for anthesis-silking interval and yieldcomponents under drought stress in maize. Acta BotanicaSinica, 45, 852-857.
[15]    Li Z N, Wang G M, Zeng Z W. 2003. The study on ABA in plantunder drought stress. Agricultural Research in the Arid Areas,21, 99-104. (in Chinese)
[16]    Liu Z W, Biyashev R M, Saghai-Maroof M A. 1996.Development of simple sequence repeat DNA markers andtheir integration into a barley linkage map. Theoretical andApplied Genetics, 93, 869-876.
[17]    Ma X Q, Tang J H, Teng W T, Yan J B, Meng Y J, Li J S. 2007.Epistatic interaction is an important genetic basis of grainyield and its components in maize. Molecular Breeding, 20,41-51.
[18]    Morris M, Dreher K, Ribaut J M, Khairallah M. 2003. Moneymatters (II): costs of maize inbred line conversion schemesat CIMMYT using conventional and marker-assistedselection. Molecular Breeding, 11, 235-247.
[19]    Ribaut J M, Hoisington D A, Deutsch J A, Jiang C, Gonzalezde-Leon D. 1996. Identification of quantitative traits lociunder drought conditions in tropical maize. . Floweringparameters and the anthesis-silking interval. Theoretical andApplied Genetics, 92, 905-914.
[20]    Ribaut J M, Jiang C, Gonzalez-de-Leon D, Edmeades G O,Hoisington D A. 1997. Identification of quantitative traitloci under drought conditions in tropical maize. 2. Yieldcomponents and marker-assisted selection strategies.Theoretical and Applied Genetics, 94, 887-896.
[21]    Ribaut J M, Banziger M, Hoisington D. 2002. Genetic dissectinand plant improvement under abiotic stress conditions:drought tolerance in maize as an example. JIRCAS WorkingReport, 23, 85-92.
[22]    Sari-Gorla M, Krajewski P, Di Fonzo N, Villa M, Frova C. 1999.Genetic analysis of drought tolerance in maize by molecularmarkers. . Plant height and flowering. Theoretical andApplied Genetics, 99, 289-295.
[23]    Stein N, Herren G, Keller B. 2001. A new DNA extraction methodfor high-throughput marker analysis in a large-genome speciessuch as Triticum aestivum. Plant Breeding, 120, 354-356.
[24]    Tanksley S D. 1993. Mapping polygenes. Annual Review ofGenetics, 27, 205-233.
[25]    Tuberosa R, Sanguineti M C, Landi P, Giuliani M M, Salvi S,Conti S. 2002. Identification of QTLs for root characteristicsin maize grown in hydroponics and analysis of their overlapwith QTLs for grain yield in the field at two water regimes.Plant Molecular Biology, 48, 697-712.
[26]    Veldboom L R, Lee M. 1996. Genetic mapping of quantitativetrait loci in maize in stress and non stress environments. .Plant height and flowering. Crop Science, 36, 1320-1327.
[27]    Wang S, Basten C J, Zeng Z B. 2005. Windows QTL Cartographer2.5. Department of Statistics, North Carolina StateUniversity, Raleigh. [ ]. http://www.statgen.ncsu.edu/qtl/crt/WQTL.htmWang Z L, Li X Z, Guo Q F, ShenY H, Gao Y. 1998a. Geneticsand breeding for drought tolerance in maize. Maize Science,3, 9-13. (in Chinese)
[28]    Wang Z L, Li X Z, Tian M. 1995. An introduction to maizevariety Luyu 14. Crops, 5, 39-40. (in Chinese)
[29]    Wang Z L, Zhang H Y, Yan X X, Ji X L, Li X Z. 1998b. Anatomicalstudies on the drought resistant varieties in maize. ActaBotanica Boreali-Occidentalia Sinica, 18, 581-583. (inChinese)
[30]    Wang Z L, Zhang X L, Wang S Y, Zhang T Z, Guo Q F. 1992.Preliminary report on drought tolerance of several maizehybrids and self-bred lines of their parents. Journal ofShandong Agricultural University, 23, 301-304. (in Chinese)
[31]    Xi Z Y, Wu K N, Wang T C, Wang C Y. 2000. Analysis ofutilizing value of physiological and biochemical indexes ofmaize drought resistance identification. Journal of HenanAgricultural University, 34, 7-12. (in Chinese)
[32]    Xu Z Z, Yu Z W, Wang D. 2006. Nitrogen translocation in wheatplants under soil water deficit. Plant and Soil, 280, 291-303.
[33]    Yano M, Sasaki T. 1997. Genetic and molecular dissection ofquantitative traits in rice. Plant Molecular Biology, 35, 145-153.
[34]    Yan J B, Tang H, Huang Y Q, Zheng Y L, Li J S. 2006. Quantitativetrait loci mapping and epistatic analysis for grain yield andyield components using molecular markers with an elite maizehybrid. Euphytica, 149, 121-131.
[35]    Zeng Z B. 1994. Precision mapping of quantitative trait loci.Genetics, 136, 1457-1468.
[36]    Zhang J M, Liu C, Shi Y S, SongY C, Bai B Z, Li Y, Wang T Y.2004. QTL analysis of parameters related to flowering inmaize under drought stress and normal irrigation condition.Journal of Plant Genetic Resources, 5, 161-165. (in Chinese)
[37]   Zhang Z M, Zhao M J, Rong T Z, Pan G T. 2007. SSR linkagemap construction and QTL identification for plant heightand ear height in maize. Acta Botanica Sinica, 33, 341-344.
[1] Peng Liu, Langlang Ma, Siyi Jian, Yao He, Guangsheng Yuan, Fei Ge, Zhong Chen, Chaoying Zou, Guangtang Pan, Thomas Lübberstedt, Yaou Shen. Population genomic analysis reveals key genetic variations and the driving force for embryonic callus induction capability in maize[J]. >Journal of Integrative Agriculture, 2024, 23(7): 2178-2195.
[2] Jiang Liu, Wenyu Yang. Soybean maize strip intercropping: A solution for maintaining food security in China[J]. >Journal of Integrative Agriculture, 2024, 23(7): 2503-2506.
[3] Hui Fang, Xiuyi Fu, Hanqiu Ge, Mengxue Jia, Jie Ji, Yizhou Zhao, Zijian Qu, Ziqian Cui, Aixia Zhang, Yuandong Wang, Ping Li, Baohua Wang. Genetic analysis and candidate gene identification of salt tolerancerelated traits in maize[J]. >Journal of Integrative Agriculture, 2024, 23(7): 2196-2210.
[4] Hui Chen, Hongxing Chen, Song Zhang, Shengxi Chen, Fulang Cen, Quanzhi Zhao, Xiaoyun Huang, Tengbing He, Zhenran Gao. Comparison of CWSI and Ts-Ta-VIs in moisture monitoring of dryland crops (sorghum and maize) based on UAV remote sensing[J]. >Journal of Integrative Agriculture, 2024, 23(7): 2458-2475.
[5] Jianjun Wang, Yanan Shao, Xin Yang, Chi Zhang, Yuan Guo, Zijin Liu, Mingxun Chen.

Heterogeneous expression of stearoyl-acyl carrier protein desaturase genes SAD1 and SAD2 from Linum usitatissimum enhances seed oleic acid accumulation and seedling cold and drought tolerance in Brassica napus [J]. >Journal of Integrative Agriculture, 2024, 23(6): 1864-1878.

[6] Jiangkuan Cui, Haohao Ren, Bo Wang, Fujie Chang, Xuehai Zhang, Haoguang Meng, Shijun Jiang, Jihua Tang.

Hatching and development of maize cyst nematode Heterodera zeae infecting different plant hosts [J]. >Journal of Integrative Agriculture, 2024, 23(5): 1593-1603.

[7] Qilong Song, Jie Zhang, Fangfang Zhang, Yufang Shen, Shanchao Yue, Shiqing Li.

Optimized nitrogen application for maximizing yield and minimizing nitrogen loss in film mulching spring maize production on the Loess Plateau, China [J]. >Journal of Integrative Agriculture, 2024, 23(5): 1671-1684.

[8] Haiqing Gong, Yue Xiang, Jiechen Wu, Laichao Luo, Xiaohui Chen, Xiaoqiang Jiao, Chen Chen.

Integrating phosphorus management and cropping technology for sustainable maize production [J]. >Journal of Integrative Agriculture, 2024, 23(4): 1369-1380.

[9] Pengcheng , Shuangyi Yin, Yunyun Wang, Tianze Zhu, Xinjie Zhu, Minggang Ji, Wenye Rui, Houmiao Wang Chenwu Xu, Zefeng Yang.

Dynamics and genetic regulation of macronutrient concentrations during grain development in maize [J]. >Journal of Integrative Agriculture, 2024, 23(3): 781-794.

[10] Peng Wang, Lan Yang, Xichao Sun, Wenjun Shi, Rui Dong, Yuanhua Wu, Guohua Mi.

Lateral root elongation in maize is related to auxin synthesis and transportation mediated by N metabolism under a mixed NO3 and NH4+ supply [J]. >Journal of Integrative Agriculture, 2024, 23(3): 1048-1060.

[11] Weina Zhang, Zhigan Zhao, Di He, Junhe Liu, Haigang Li, Enli Wang.

Combining field data and modeling to better understand maize growth response to phosphorus (P) fertilizer application and soil P dynamics in calcareous soils [J]. >Journal of Integrative Agriculture, 2024, 23(3): 1006-1021.

[12] Cheng Guo, Xiaojie Zhang, Baobao Wang, Zhihuan Yang, Jiping Li, Shengjun Xu, Chunming Wang, Zhijie Guo, Tianwang Zhou, Liu Hong, Xiaoming Wang, Canxing Duan.

Identification, pathogenicity, and fungicide sensitivity of Eutiarosporella dactylidis associated with leaf blight on maize in China [J]. >Journal of Integrative Agriculture, 2024, 23(3): 888-900.

[13] Binbin Li, Xianmin Chen, Tao Deng, Xue Zhao, Fang Li, Bingchao Zhang, Xin Wang, Si Shen, Shunli Zhou.

Timing effect of high temperature exposure on the plasticity of internode and plant architecture in maize [J]. >Journal of Integrative Agriculture, 2024, 23(2): 551-565.

[14] Minghui Cao, Yan Duan, Minghao Li, Caiguo Tang, Wenjie Kan, Jiangye Li, Huilan Zhang, Wenling Zhong, Lifang Wu.

Manure substitution improves maize yield by promoting soil fertility and mediating the microbial community in lime concretion black soil [J]. >Journal of Integrative Agriculture, 2024, 23(2): 698-710.

[15] Akmaral Baidyussen, Gulmira Khassanova, Maral Utebayev, Satyvaldy Jatayev, Rystay Kushanova, Sholpan Khalbayeva, Aigul Amangeldiyeva, Raushan Yerzhebayeva, Kulpash Bulatova, Carly Schramm, Peter Anderson, Colin L. D. Jenkins, Kathleen L. Soole, Yuri Shavrukov. Assessment of molecular markers and marker-assisted selection for drought tolerance in barley (Hordeum vulgare L.)[J]. >Journal of Integrative Agriculture, 2024, 23(1): 20-38.
No Suggested Reading articles found!