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: 14 August 2011
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] GAO Xing, LI Yong-xiang, YANG Ming-tao, LI Chun-hui, SONG Yan-chun, WANG Tian-yu, LI Yu, SHI Yun-su. Changes in grain-filling characteristics of single-cross maize hybrids released in China from 1964 to 2014[J]. >Journal of Integrative Agriculture, 2023, 22(3): 691-700.
[2] XU Xiao-hui, LI Wen-lan, YANG Shu-ke, ZHU Xiang-zhen, SUN Hong-wei, LI Fan, LU Xing-bo, CUI Jin-jie. Identification, evolution, expression and protein interaction analysis of genes encoding B-box zinc-finger proteins in maize[J]. >Journal of Integrative Agriculture, 2023, 22(2): 371-388.
[3] Irshad AHMAD, Maksat BATYRBEK, Khushnuma IKRAM, Shakeel AHMAD, Muhammad KAMRAN, Misbah, Raham Sher KHAN, HOU Fu-jiang, HAN Qing-fang.

Nitrogen management improves lodging resistance and production in maize (Zea mays L.) at a high plant density [J]. >Journal of Integrative Agriculture, 2023, 22(2): 417-433.

[4] WANG Fei-bing, WAN Chen-zhong, NIU Hao-fei, QI Ming-yang, LI Gang, ZHANG Fan, HU Lai-bao, YE Yu-xiu, WANG Zun-xin, PEI Bao-lei, CHEN Xin-hong, YUAN Cai-yuan.

OsMas1, a novel maspardin protein gene, confers tolerance to salt and drought stresses by regulating ABA signaling in rice [J]. >Journal of Integrative Agriculture, 2023, 22(2): 341-359.

[5] ZHANG Xi-juan, LAI Yong-cai, MENG Ying, TANG Ao, DONG Wen-jun, LIU You-hong, LIU Kai, WANG Li-zhi, YANG Xian-li, WANG Wen-long, DING Guo-hua, JIANG Hui, REN Yang, JIANG Shu-kun. Analyses and identifications of quantitative trait loci and candidate genes controlling mesocotyl elongation in rice[J]. >Journal of Integrative Agriculture, 2023, 22(2): 325-340.
[6] CHEN Zhe, REN Wei, YI Xia, LI Qiang, CAI Hong-guang, Farhan ALI, YUAN Li-xing, MI Guo-hua, PAN Qing-chun, CHEN Fan-jun. Local nitrogen application increases maize post-silking nitrogen uptake of responsive genotypes via enhanced deep root growth[J]. >Journal of Integrative Agriculture, 2023, 22(1): 235-250.
[7] LI Teng, ZHANG Xue-peng, LIU Qing, LIU Jin, CHEN Yuan-quan, SUI Peng. Yield penalty of maize (Zea mays L.) under heat stress in different growth stages: A review[J]. >Journal of Integrative Agriculture, 2022, 21(9): 2465-2476.
[8] GAO Ri-xin, HU Ming-jian, ZHAO Hai-ming, LAI Jin-sheng, SONG Wei-bin.

Genetic dissection of ear-related traits using immortalized F2 population in maize [J]. >Journal of Integrative Agriculture, 2022, 21(9): 2492-2507.

[9] SANG Zhi-qin, ZHANG Zhan-qin, YANG Yu-xin, LI Zhi-wei, LIU Xiao-gang, XU Yunbi, LI Wei-hua. Heterosis and heterotic patterns of maize germplasm revealed by a multiple-hybrid population under well-watered and drought-stressed conditions[J]. >Journal of Integrative Agriculture, 2022, 21(9): 2477-2491.
[10] HAN Yu-ling, GUO Dong, MA Wei, GE Jun-zhu, LI Xiang-ling, Ali Noor MEHMOOD, ZHAO Ming, ZHOU Bao-yuan. Strip deep rotary tillage combined with controlled-release urea improves the grain yield and nitrogen use efficiency of maize in the North China Plain[J]. >Journal of Integrative Agriculture, 2022, 21(9): 2559-2576.
[11] MA Da-ling, XIE Rui-zhi, YU Xiao-fang, LI Shao-kun, GAO Ju-lin. Historical trends in maize morphology from the 1950s to the 2010s in China[J]. >Journal of Integrative Agriculture, 2022, 21(8): 2159-2167.
[12] LIU Meng-yang, WU Fang, GE Yun-jia, LU Yin, ZHANG Xiao-meng, WANG Yan-hua, WANG Yang, YAN Jing-hui, SHEN Shu-xing, ZHAO Jian-jun, MA Wei. Identification of soft rot resistance loci in Brassica rapa with SNP markers[J]. >Journal of Integrative Agriculture, 2022, 21(8): 2253-2263.
[13] HUI Jing, LIU Zhi, DUAN Feng-ying, ZHAO Yang, LI Xue-lian, AN Xia, WU Xiang-yu, YUAN Li-xing. Ammonium-dependent regulation of ammonium transporter ZmAMT1s expression conferred by glutamine levels in roots of maize[J]. >Journal of Integrative Agriculture, 2022, 21(8): 2413-2421.
[14] TIAN Xue-liang, LIU Jia-jia, LIU Quan-cheng, XIA Xin-yao, PENG Yong, Alejandra I. HUERTA, YAN Jian-bing, LI Hui, LIU Wen-de. The effects of soil properties, cropping systems and geographic location on soil prokaryotic communities in four maize production regions across China [J]. >Journal of Integrative Agriculture, 2022, 21(7): 2145-2157.
[15] HU Ling-yu, YUE Hong, ZHANG Jing-yun, LI Yang-tian-su, GONG Xiao-qing, ZHOU Kun, MA Feng-wang. Overexpression of MdMIPS1 enhances drought tolerance and water-use efficiency in apple[J]. >Journal of Integrative Agriculture, 2022, 21(7): 1968-1981.
No Suggested Reading articles found!