Please wait a minute...
Journal of Integrative Agriculture  2013, Vol. 12 Issue (2): 218-228    DOI: 10.1016/S2095-3119(13)60221-X
Crop Genetics · Breeding · Germplasm Resources Advanced Online Publication | Current Issue | Archive | Adv Search |
QTL Mapping for Stalk Related Traits in Maize (Zea mays L.) Under Different Densities
 ZHU Li-ying, CHEN Jing-tang, Li Ding, ZHANG Jian-hua, HUANG Ya-qun, ZHAO Yong-feng, SONG Zhan-quan , LIU Zhi-zeng
1.College of Agronomy, Agricultural University of Hebei/Hebei Sub-Center of National Maize Improvement Center, Ministry of Agriculture/Northern China Key Laboratory for Crop Germplasm Resources, Ministry of Education, Baoding 071001, P.R.China
2.Baoding University, Baoding 071051, P.R.China
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
摘要  Stalk related traits, comprising plant height (PH), ear height (EH), internode number (IN), average internode length (AIL), stalk diameter (SD), and ear height coefficient (EHC), are significantly correlated with yield, density tolerance, and lodging resistance in maize. To investigate the genetic basis for stalk related traits, a doubled haploid (DH) population derived from a cross between NX531 and NX110 were evauluated under two densities over 2 yr. The additive quantitative trait loci (QTLs), epistatic QTLs were detected using inclusive composite interval mapping and QTL-by-environment interaction were detected using mixed linear model. Differences between the two densities were significant for the six traits in the DH population. A linkage map that covered 1 721.19 cM with an average interval of 10.50 cM was constructed with 164 simple sequence repeat (SSR). Two, two, seven, six, two, and eight additive QTLs for PH, IN, AIL, EH, SD, and EHC, respectively. The extend of their contribution to penotypic variation ranged from 10.10 to 31.93%. Seven QTLs were indentified simultaneously under both densities. One pair, two pairs and one pair of epistatic effects were detected for AIL, SD and EHC, respectively. No epistatic effects were detected for PH, EH, and IN. Nineteen QTLs with environment interactions were detected and their contribution to phenotypic variation ranged from 0.43 to 1.89%. Some QTLs were stably detected under different environments or genetic backgrounds comparing with previous studies. These QTLs could be useful for genetic improvement of stalk related traits in maize breeding.

Abstract  Stalk related traits, comprising plant height (PH), ear height (EH), internode number (IN), average internode length (AIL), stalk diameter (SD), and ear height coefficient (EHC), are significantly correlated with yield, density tolerance, and lodging resistance in maize. To investigate the genetic basis for stalk related traits, a doubled haploid (DH) population derived from a cross between NX531 and NX110 were evauluated under two densities over 2 yr. The additive quantitative trait loci (QTLs), epistatic QTLs were detected using inclusive composite interval mapping and QTL-by-environment interaction were detected using mixed linear model. Differences between the two densities were significant for the six traits in the DH population. A linkage map that covered 1 721.19 cM with an average interval of 10.50 cM was constructed with 164 simple sequence repeat (SSR). Two, two, seven, six, two, and eight additive QTLs for PH, IN, AIL, EH, SD, and EHC, respectively. The extend of their contribution to penotypic variation ranged from 10.10 to 31.93%. Seven QTLs were indentified simultaneously under both densities. One pair, two pairs and one pair of epistatic effects were detected for AIL, SD and EHC, respectively. No epistatic effects were detected for PH, EH, and IN. Nineteen QTLs with environment interactions were detected and their contribution to phenotypic variation ranged from 0.43 to 1.89%. Some QTLs were stably detected under different environments or genetic backgrounds comparing with previous studies. These QTLs could be useful for genetic improvement of stalk related traits in maize breeding.
Keywords:  maize       density       stalk related traits       quantitative trait loci       epistatic effect       QTL-by-environment interaction  
Received: 10 February 2012   Accepted:
Fund: 

The study was conducted with the support of the Key Technologies R&D Program of China during the 12th Five- Year Plan period (2011BAD35B01) and the National High- Tech R&D Program of China (2011AA10A103-3).

Corresponding Authors:  Correspondence CHEN Jing-tang, Tel: +86-312-7528108, E-mail: chenjingtang@126.com   
About author:  ZHU li-ying, Tel: +86-312-7528402, E-mail: zhuliyiny@126.com

Cite this article: 

ZHU Li-ying, CHEN Jing-tang, Li Ding, ZHANG Jian-hua, HUANG Ya-qun, ZHAO Yong-feng, SONG Zhan-quan , LIU Zhi-zeng. 2013. QTL Mapping for Stalk Related Traits in Maize (Zea mays L.) Under Different Densities. Journal of Integrative Agriculture, 12(2): 218-228.

[1]Abler B S, Edwards M D, Stuber C W. 1991. Isoenzymaticidentification of quantitative trait loci in crosses of elitemaize inbreds. Crop Science, 31, 267-274

[2]Ajmone-Marsan P, Monfredini G, Ludwig W F, MelchingerA E, Franceschini P, Pagnotto G, Motto M. 1995. In anelite cross of maize a major quantitative trait locuscontrols one-fourth of the genetic variation of grainyield. Theoretical and Applied Genetics, 90, 415-424

[3]Bai W, Zhang H, Zhang Z, Teng F, Wang L, Tao Y, ZhengY. 2010. The evidence for non-additive effect as themain genetic component of plant height and ear heightin maize using introgression line populations. PlantBreeding, 129, 376-384

[4]Beavis W D, Grant D, Albertsen M C, Fincher R. 1991.Quantitative trait loci for plant height in four maizepopulations and their associations with qualitative geneticloci. Theoretical and Applied Genetics, 83, 141-145

[5]Beavis W D, Smith O S, Grant D, Fincher R. 1994.Identification of quantitative trait loci using a smallsample of topcrossed and F4 progeny from maize. CropScience, 34, 882-896

[6]Cassani E, Bertolini E, Badone F C, Landoni M, Gavina D,Sirizzotti A, Pilu R. 2009. Characterization of the firstdominant dwarf maize mutant carrying a single aminoacid insertion in the VHYNP domain of the dwarf8 gene.Molecular Breeding, 24, 375-385

[7]Daynard T B, Muldoon J F. 1983. Plant-to-plant variabilityof maize plants grown at different densities. CanadianJournal of Plant Science, 63, 45-59

[8]Feng G, Liu Z F, Li Y Y, Jing X Q, Xing J F, Huang C L. 2010.Study on the trends in yield change of maize singlecross hybrids in different periods in China. ScientiaAgricultura Sinica, 43, 277-285

[9](in Chinese)Fu Z Y, Shao K K, Chen D Z, Wang B M, Xu Z X, Ding D,Tang J H. 2011. Correlation analysis of the internodenumber above ear and lodging resistance in maize.Journal of Henan Agricultural University, 45, 149-154(in Chinese)

[10]Gou L, Huang J J, Zhang B, Li T, Sun R, Zhao M. 2007.Effects of population density on stalk lodging resistantmechanism and agronomic characteristics of maize.Acta Agronomica Sinica, 33, 1688-1695 (in Chinese)

[11]Hagiwara W E, Onishi K, Takamure I, Sano Y. 2006.Transgressive segregation due to linked QTLs for graincharacteristics of rice. Euphytica, 150, 27-35

[12]He Q, Zhang K X, Xu C G, Xing Y Z. 2010. Additive andadditive×additive interaction make importantcontributions to spikelets per panicle in rice nearisogenic (Oryza sativa L.) lines. Journal of Geneticsand Genomics, 37, 795-803

[13]Jiang F, Liu P F, Wang H N, Zhang J F, Wang X M. 2011.Genetic analysis and QTL mapping for ear heightcoefficient in corn. Journal of China AgriculturalUniversity, 16, 9-15 (in Chinese)

[14]Knapp S J, Stroup W W, Ross W M. 1985. Exact confidenceintervals for heritability on a progeny mean basis. CropScience, 25, 192-194

[15]Lander E S, Green P, Abrahamson J, Barlow A, Daly M J,Lincoln S E, Newburg L A. 1987. MAPMAKER: aninteractive computer package for constructing primarygenetic linkage maps of experimental and naturalpopulations. Genomics, 1, 174-181

[16]LeDeaux J R, Graham G I, Stuber C W. 2006. Stability ofQTLs involved in heterosis in maize when mappedunder several stress conditions. Maydica, 51, 151-167

[17]LeDeaux J R, Stuber C W. 1997. Mapping heterosis QTLs inmaize grown under various stress conditions. In: TheGennetics and Exploitation of Heterosis in Cops. AnInternational Symposium, Mexico City, Mexico. pp. 40-41

[18]Li W H, Liu W, Liu L, You M S, Liu G T, Li B Y. 2011. QTLmapping for wheat flour color with additive, epistatic,and QTL×environmental interaction effects.Agricultural Sciences in China, 10, 651-660

[19]Li Y L, Tang B J, Feng X Y, Wei M G, Cui Q X, Zhang Z W,Chen H Q, Yang G H, Yang M L. 2009. Effects of plantingdensity on plant characters of two maize heteroticpopulations at different developmental stages. HenanAgricultural Science, 12, 26-29 (in Chinese)

[20]Liu G F, Yang J, Zhu J. 2006. Mapping QTL for biomassyield and its components in rice (Oryza sativa L.). ActaGenetica Sinica, 33, 607-616

[21]Liu W, Lu P, Su K, Yang J S, Zhang J W, Dong S T, Liu P,Sun Q Q. 2010. Effects of planting density on the grainyield and source-sink characteristics of summer maize.Chinese Journal of Applied Ecology, 21, 1737-1743 (in Chinese)

[22]Liu Z H, Tang J H, Wang C L, Tian G W, Wei X Y, Hu Y M,Cui D Q. 2007. QTL analysis of plant height under Nstress and N-input at different stages in maize. ActaAgronomica Sinica, 33, 782-789 (in Chinese)

[23]McCouch S R, Cho Y G, Yano M, Paule E, Blinstrub M,Morishima H, Kinoshita T. 1997. Report on QTLnomenclature. Rice Genetics Newslettler, 14, 11-13

[24]Saghai-Maroof M A, Biyashev R M, Yang G P. 1994.Ribosomal DNA spacer-length polymorphisms inbarley: mendelian inheritance, chromosomal locationand population dynamics. Proceedings of the NationalAcademy of Sciences of the United States of America,81, 8014-8018

[25]Sari-Gorla M, Krajewski P, Fonzo N D, Villa M, Frova C. 1999. Genetic analysis of drought tolerance in maize bymolecular markers. II. plant height and flowering.Theoretical and Applied Genetics, 99, 289-295

[26]SAS Institute. 2001. SAS/STAT User’s Guide. SAS Institute,Cary, NC.Schön C C, Lee M, Melchinger A E, Guthrie W D, WoodmanW L. 1993. Mapping and characterization of quantitativetrait loci affecting resistance against 2nd-generationEuropean corn borer in maize with the aid of RFLPs.Heredity, 70, 648-659

[27]Smith J S C, Duvick D N, Smith O S, Cooper M, Feng L Z.2004. Changes in pedigree backgrounds of pioneerbrand maize hybrids widely grown from 1930 to 1999.Crop Science, 44, 1935-1946

[28]Tang G M, Long L P, Xia D J, Yuan T Y, Yu L Z, Wang X J.2002. Effect of the spike position height coefficient onyield characteristics in maize. Journal of LaiyangAgricultural College, 19, 95-97. (in Chinese)

[29]Tang H, Yan J B, Huang Y Q, Zheng Y L, Li J S. 2005. QTLmapping of five agronomic traits in maize. Acta GeneticaSinica, 32, 203-209 (in Chinese)

[30]Tang J H, Teng W T, Yan J B, Ma X Q, Meng Y J, Dai J R, LiJ S. 2007. Genetic dissection of plant height by molecularmakers using a population of recombinant inbred linesin maize. Euphytica, 155, 117-124

[31]Veldboom L R, Lee M. 1996. Genetic mapping of quantitativetrait loci in maize in stress and nonstress environments:II. plant height and flowering. Crop Science, 36, 1320-1327

[32]Wang D L, Zhu J, Li Z K, Paterson A H. 1999. MappingQTLs with epistatic effects and QTL×environmentinteractions by mixed linear model approaches.Theoretical and Applied Genetics, 99, 1255-1264

[33]Wang J K. 2009. Inclusive composite interval mapping ofquantitative trait genes. Acta Agronomica Sinica, 35,239-245 (in Chinese)

[34]Wang Y D, Duan M X, Xing J F, Wang J D, Zhang C Y,Zhang X Y, Zhao J R. 2008. Progress and prospect inideal plant type breeding in maize. Journal of MaizeSciences, 16, 47-50

[35](in Chinese)Xing Y Z, Tan Y F, Hua J P, Sun X L, Xu C G, Zhang Q. 2002.Characterization of the main effects,epistatic effects andtheir environmental interactions of QTLs on the geneticbasis of yield traits in rice. Theoretical and AppliedGenetics, 105, 248-257

[36]Yan J B, Tang H, Huang Y Q, Shi Y G, Li J S, Zheng Y L.2003. Dynamic analysis of QTL for plant height atdifferent developmental stages in maize (Zea mays L.).Chinese Science Bulletin, 48, 2601-2607

[37]Yang Y L, Rao Y C, Li G M, Huang L C, Leng Y J, Zhang GH, Gao Z Y, Hu J, Zhu L, Guo L B, et al. 2011. Geneticanalysis of culms traits in rice. Molecular PlantBreeding, 9, 160-168 (in Chinese)

[38]Zhang H S, Zhao M, Wu P B, Zhai Y J, Jiang W. 2009.Effects of the plant density on the characteristics ofmaize stem and ear. Journal of Maize Sciences, 17,130-133

[39](in Chinese)Zhang Y, Li Y X, Wang Y, Liu Z Z, Liu C, Peng B, Tan W W,Wang D, Shi Y S, Sun B C, et al. 2010. Stability of QTLacross environments and QTL-by-environmentinteractions for plant and ear height in maize.Agricultural Sciences in China, 9, 1400-1412

[40]Zhang Z M, Zhao M J, Ding H P, Rong T Z, Pan G T. 2006.Quantitative trait loci analysis of plant height and earheight in maize (Zea mays L.). Russian Journal ofGenetics, 42, 306-310

[41]Zhao J Y, Becker H C, Ding H D, Zhang Y F, Zhang D Q,Ecke W G. 2005. QTL of three agronomically importanttraits and their interactions with environment in aeuropean×chinese rapeseed population. Acta GeneticaSinica, 32, 969-978

[42]Zhu J J, Wang X P, Sun C X, Zhu X M, Zhu X M, Li M,Zhang G D, Tian Y C, Wang Z L. 2011. Mapping of QTLassociated with drought tolerance in a semi-automobilerain shelter in maize (Zea mays L.). AgriculturalSciences in China, 10, 987-996

[43]Zhuang J Y, Lin H X, Lu J, Qian H R, Hittamani S, Huang N,Zheng K L.1997. Analysis of QTL×envirommentinteraction for yield components and plant height inrice. Theoretical and Applied Genetics, 95, 799-808
[1] Lichao Zhai, Shijia Song, Lihua Zhang, Jinan Huang, Lihua Lv, Zhiqiang Dong, Yongzeng Cui, Mengjing Zheng, Wanbin Hou, Jingting Zhang, Yanrong Yao, Yanhong Cui, Xiuling Jia. Subsoiling before winter wheat alleviates the kernel position effect of densely grown summer maize by delaying post-silking root–shoot senescence[J]. >Journal of Integrative Agriculture, 2025, 24(9): 3384-3402.
[2] Ling Ai, Ju Qiu, Jiuguang Wang, Mengya Qian, Tingting Liu, Wan Cao, Fangyu Xing, Hameed Gul, Yingyi Zhang, Xiangling Gong, Jing Li, Hong Duan, Qianlin Xiao, Zhizhai Liu. A naturally occurring 31 bp deletion in TEOSINTE BRANCHED1 causes branched ears in maize[J]. >Journal of Integrative Agriculture, 2025, 24(9): 3322-3333.
[3] Zhongwei Tian, Yanyu Yin, Bowen Li, Kaitai Zhong, Xiaoxue Liu, Dong Jiang, Weixing Cao, Tingbo Dai. Optimizing planting density and nitrogen application to mitigate yield loss and improve grain quality of late-sown wheat under rice–wheat rotation[J]. >Journal of Integrative Agriculture, 2025, 24(7): 2558-2574.
[4] Dan Lü, Jianxin Li, Xuehai Zhang, Ran Zheng, Aoni Zhang, Jingyun Luo, Bo Tong, Hongbing Luo, Jianbing Yan, Min Deng. Genetic analysis of maize crude fat content by multi-locus genome-wide association study[J]. >Journal of Integrative Agriculture, 2025, 24(7): 2475-2491.
[5] Wei Yan, Jinze Zhang, Yingfen Jiang, Kunjiang Yu, Qian Wang, Xu Yang, Lijing Xiao, Entang Tian. Construction of a high-density genetic map to explore the genetic regulation of erucic acid, oleic acid, and linolenic acid contents in Brassica juncea[J]. >Journal of Integrative Agriculture, 2025, 24(6): 2171-2189.
[6] Lihua Xie, Lingling Li, Junhong Xie, Jinbin Wang, Zechariah Effah, Setor Kwami Fudjoe, Muhammad Zahid Mumtaz. A suitable organic fertilizer substitution ratio stabilizes rainfed maize yields and reduces gaseous nitrogen loss in the Loess Plateau, China[J]. >Journal of Integrative Agriculture, 2025, 24(6): 2138-2154.
[7] Chunxiang Li, Yongfeng Song, Yong Zhu, Mengna Cao, Xiao Han, Jinsheng Fan, Zhichao Lü, Yan Xu, Yu Zhou, Xing Zeng, Lin Zhang, Ling Dong, Dequan Sun, Zhenhua Wang, Hong Di. GWAS analysis reveals candidate genes associated with density tolerance (ear leaf structure) in maize (Zea mays L.)[J]. >Journal of Integrative Agriculture, 2025, 24(6): 2046-2062.
[8] Huairen Zhang, Tauseef Taj Kiani, Huabang Chen, Juan Liu, Xunji Chen. Genome wide association analysis reveals multiple QTLs controlling root development in maize [J]. >Journal of Integrative Agriculture, 2025, 24(5): 1656-1670.
[9] Lanjie Zheng, Qianlong Zhang, Huiying Liu, Xiaoqing Wang, Xiangge Zhang, Zhiwei Hu, Shi Li, Li Ji, Manchun Ji, Yong Gu, Jiaheng Yang, Yong Shi, Yubi Huang, Xu Zheng. Fine mapping and discovery of MIR172e, a candidate gene required for inflorescence development and lower floret abortion in maize ear[J]. >Journal of Integrative Agriculture, 2025, 24(4): 1372-1389.
[10] Xiaoxia Guo, Wanmao Liu, Yunshan Yang, Guangzhou Liu, Bo Ming, Ruizhi Xie, Keru Wang, Shaokun Li, Peng Hou. Matching the light and nitrogen distributions in the maize canopy to achieve high yield and high radiation use efficiency[J]. >Journal of Integrative Agriculture, 2025, 24(4): 1424-1435.
[11] Ying Zhao, Xiaozeng Han, Chen Qiu, Wenxiu Zou, Xinchun Lu, Jun Yan, Xu Chen. The enhancements of pore morphology and size distribution by straw return are mediated by increases in aggregate-associated carbon and nitrogen[J]. >Journal of Integrative Agriculture, 2025, 24(4): 1562-1576.
[12] Yang Wang, Chunhua Mu, Xiangdong Li, Canxing Duan, Jianjun Wang, Xin Lu, Wangshu Li, Zhennan Xu, Shufeng Sun, Ao Zhang, Zhiqiang Zhou, Shenghui Wen, Zhuanfang Hao, Jienan Han, Jianzhou Qu, Wanli Du, Fenghai Li, Jianfeng Weng. A genome-wide association study and transcriptome analysis reveal the genetic basis for the Southern corn rust resistance in maize[J]. >Journal of Integrative Agriculture, 2025, 24(2): 453-466.
[13] Hong Ren, Zheng Liu, Xinbing Wang, Wenbin Zhou, Baoyuan Zhou, Ming Zhao, Congfeng Li. Long-term excessive nitrogen application decreases spring maize nitrogen use efficiency via suppressing root physiological characteristics[J]. >Journal of Integrative Agriculture, 2025, 24(11): 4195-4210.
[14] Yulong Wang, Aizhong Yu, Pengfei Wang, Yongpan Shang, Feng Wang, Hanqiang Lü, Xiaoneng Pang, Yue Li, Yalong Liu, Bo Yin, Dongling Zhang, Jianzhe Huo, Keqiang Jiang, Qiang Chai. No-tillage with total green manure mulching increases maize yield through improved soil moisture and temperature environment and enhanced maize root structure and photosynthetic capacity[J]. >Journal of Integrative Agriculture, 2025, 24(11): 4211-4224.
[15] Tianqi Wang, Jihui Tian, Xing Lu, Chang Liu, Junhua Ao, Huafu Mai, Jinglin Tan, Bingbing Zhang, Cuiyue Liang, Jiang Tian. Soybean variety influences the advantages of nutrient uptake and yield in soybean/maize intercropping via regulating root-root interaction and rhizobacterial composition[J]. >Journal of Integrative Agriculture, 2025, 24(10): 4048-4062.
No Suggested Reading articles found!