Welcome to Acta Agronomica Sinica，

Acta Agron Sin ›› 2011, Vol. 37 ›› Issue (02): 271-279.doi: 10.3724/SP.J.1006.2011.00271

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Detection of Quantitative Trait Loci for Plant Height in Different Photoperiod Environments Using an Immortalized F2 Population in Maize

WANG Cui-Ling1,2,SUN Zhao-Hui1,KU Li-Xia1,WANG Tie-Gu3,CHEN Yan-Hui1,*   

  1. 1 College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; 2 College of Agronomy, Henan University of Science and Technology, Luoyang 471003, China; 3 College of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang 453003, China
  • Received:2010-03-25 Revised:2010-08-05 Online:2011-02-12 Published:2010-11-16

PDF

1714

Cited

5

Abstract: For studying the genetic basis of plant height in maize, an immortalized F2 population of 278 F1 cross was constructed by intercrossing recombinant inbred lines derived from a cross between temperate and tropical inbred lines (Huangzaosi × CML288). The “immortalized F2” was evaluated for plant height in five locations with three photoperiod environments, i.e. a short day environment of Sanya in Hainan province, long-day environments of Zhengzhou and Luoyang in Henan province, and long-day environments of Shunyi and Changping in Beijing. Twelve QTLs for plant height were detected in different photoperiod environments using composite interval mapping. The QTLs qPH1-2 and qPH4 associated with plant height were detected in all the three photoperiod environments, showing that these two QTLs might control plant height steadily in different environments. The QTL qPH3 was detected for plant height and explained 32.13% of the phenotypic variation in short day environment while could not be detected in long day environment, which indicated that the QTL qPH3 might control plant height only in short day environment. The QTL qPH10-1 in the bin 10.04 region of chromosome 10 associated with plant height was detected in long day environments of Henan and Beijing and explained 25.39% and 39.58% of the phenotypic variation, respectively. This result indicated that the QTL qPH10-1 might be a major plant height QTL in long day environment.

Key words: Immortalized F2 population, Photoperiod, Tropical maize (Zea mays L.), Plant height, QTL

[1]Zhang Z M, Zhao M J, Ding H P, Rong T Z, Pan G T. Quantitative trait loci analysis of plant height and ear height in maize (Zea mays L.). Russian J Genet, 2006, 42: 306–310
[2]Ragot M, Sisco P H, Hoisington D A. Molecular marker mediated characterization of favorable exotic alleles and quantitative trait loci in maize. Crop Sci, 1995, 35: 1306–1315
[3]Beavis W D, Grant D, Albertsen M, Fincher R. Quantitative trait loci for plant height in four maize populations and their associations with qualitative genetic loci. Theor Appl Genet, 1991, 83: 141–145
[4]Melchinger A E, Utz H F, Schon C C. Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimates of QTL effects. Genetics, 1998, 149: 383–403
[5]Stuber C W, Lincoln S E, Wolff D W, Helentjaris T, Lander E S. Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers. Genetics, 1992, 132: 823–839
[6]Wang Y, Yao J, Zhang Z F, Zheng Y L. The comparative analysis based on maize integrated QTL map and meta-analysis of plant height QTLs. Chin Sci Bull, 2006, 51: 2219–2230
[7]Yan J-B(严建兵), Tang H(汤华), Huang Y-Q(黄益勤), Shi Y-G(石永刚), Li J-S(李建生), Zheng Y-L(郑用琏). Dynamic analysis of QTL for plant height at different developmental stages in maize (Zea mays L.). Chin Sci Bull (科学通报), 2003, 48(18): 1959–1964 (in Chinese)
[8]Tang J H, Teng W T, Yan J B, Ma X Q, Meng Y J, Dai J R, Li J S. Genetic dissection of plant height by molecular markers using a population of recombinant inbred lines in maize. Euphytica, 2007, 155: 117–124
[9]Thornsberry J M, Goodman M M, Doebley J, Kresovich S, Nielsen D, Buckler E S. Dwarf8 polymorphisms associate with variation in flowering time. Nat Genet, 2001, 28: 286–289
[10]Spray C R, Kobayashi M, Suzuki Y, Phinney B O, Gaskin P, MacMillan J. The dwarf-1 (d1) mutant of Zea mays blocks three steps in the gibberellin-biosynthetic pathway. Proc Natl Acad Sci USA, 1996, 93: 10515–10518
[11]Winkler R G, Helentjaris T. The maize dwarf3 gene encodes a cytochrome p450-mediated early step in gibberellin biosynthesis. Plant Cell, 1995, 7: 1307–1317
[12]Peng J, Richards D E, Hartley N M, Murphy G P, Devos K M, Flintham J E, Beales J, Fish L E, Worland A J, Pelica F, Sudhakar D, Christou P, Snape J W, Gale M, Harberd N. Green revolution genes encode mutant gibberellin response modulators. Nature, 1999, 400: 256–261
[13]Hua J P, Xing Y Z, Wu W R, Xu C G, Yu S B, Sun X L, Zhang Q F. Single-locus heterotic effects and dominance by dominance interactions can adequately explain the genetic basis of heterosis in an elite rice hybrid. Proc Natl Acad Sci USA, 2003, 100: 2574–2579
[14]Hua J P, Xing Y Z, Xu C G, Sun X L, Yu S B, Zhang Q F. Genetic dissection of an elite rice hybrid revealed that heterozygotes are not always advantageous for performance. Genetics, 2002, 162: 1885–1895
[15]Lincoln S E, Daly M J, Lander E S. Constructing Genetic Linkage Maps with MAPMARKER/EXP Version 3.0: A Tutorial and Reference Manual, 3rd ed. Cambridge M A: Whitehead Institute for Biometrical Research, 1993
[16]Churchill G A, Doerge R W. Empirical threshold values for quantitative trait mapping. Genetics, 1994, 138: 963–971
[17]Stuber C W, Edwards M D, Wendel J F. Molecular marker facilitated investigations of quantitative trait loci in maize: II. Factors influencing yield and its component traits. Crop Sci, 1987, 27: 639–648
[18]Yang X-J(杨晓军), Lu M(路明), Zhang S-H(张世煌), Zhou F (周芳), Qu Y-Y(曲延英), Xie C-X(谢传晓). QTL mapping of plant height and ear position in maize (Zea mays L.). Hereditas (遗传), 2008, 30(11): 1477–1486(in Chinese with English abstract)
[19]Beavis W D, Smith O S, Grant D, Fincher R. Identification of quantitative trait loci using a small sample of topcrossed and F4 progeny from maize. Crop Sci, 1994, 34: 882–896
[20]Lubberstedt T, Melchinger A E, Schon C C, Utz H F, Klein D. QTL mapping in testcrosses of European flint lines of maize: 1. Comparison of different testers for forage yield traits. Crop Sci, 1997, 37: 921–931
[21]Melchinger A E, Gonzalezde L D, Hoisington D A. Molecular mapping of QTL for southwestern corn borer resistance, plant height and flowering in tropical maize. Plant Breed, 1998, 117: 309–318
[22]Schon C C, Lee M, Melchinger A E, Guthrie W D, Woodman W L. Mapping and characterization of quantitative trait loci affecting resistance against 2nd-generation European corn borer in maize with the aid of RFLPs. Heredity, 1993, 70: 648–659
[23]Berke T, Rocheford T. Quantitative trait loci for flowering, plant and ear height, and kernel traits in maize. Crop Sci, 1995, 35: 1542–1549
[24]Bohn M, Khairallah M M, Gonzalezde L D, Hoisington D A, Utz H F, Deutsch J A, Jewell D C, Mihm J A, Melchinger A E. QTL mapping in tropical maize: 1. Genomic regions affecting leaf feeding resistance to sugarcane borer and other traits. Crop Sci, 1996, 36: 1352–1361
[25]Abler B S, Edwards M D, Stuber C W. Isoenzymatic identification of quantitative trait loci in crosses of elite maize inbreds. Crop Sci, 1991, 31: 267–274
[26]Ajmone M P, Monfredini G, Ludwig W F, Melchinger A E, Franceschini P, Pagnotto G, Motto M. Identification of genomic regions affecting plant height and their relationship with grain yield in an elite maize cross. Maydica, 1994, 39: 133–139
[27]Kozumplik V, Pejic I, Senior L, Pavlina R, Graham G, Stuber C W. Molecular markers for QTL detection in segregating maize populations derived from exotic germplasm. Maydica, 1996, 41: 211–217
[28]Schon C C, Melchinger A E, Boppenmaier J, Brunklaus J E, Herrmann R G, Seitzer J F. RFLP mapping in maize quantitative trait loci affecting testcross performance of elite European flint lines. Crop Sci, 1994, 34: 378–389
[29]Khairallah M M, Bohn M, Jiang C, Deutsch J A, Jewell D C, Mihm J A, Beavis W D, Smith O S, Grant D, Fincher R. Identification of quantitative trait loci using a small sample of topcrossed and F4 progeny from maize. Crop Sci, 1994, 34: 882–896
[30]Wang C L, Cheng F F, Sun Z H, Tang J H, Wu L C, Ku L X, Chen Y H. Genetic analysis of photoperiod sensitivity in a tropical by temperate maize recombinant inbred population using molecular markers. Theor Appl Genet, 2008, 117: 1129–1139
[1] HU Wen-Jing, LI Dong-Sheng, YI Xin, ZHANG Chun-Mei, ZHANG Yong. Molecular mapping and validation of quantitative trait loci for spike-related traits and plant height in wheat [J]. Acta Agronomica Sinica, 2022, 48(6): 1346-1356.
[2] YU Chun-Miao, ZHANG Yong, WANG Hao-Rang, YANG Xing-Yong, DONG Quan-Zhong, XUE Hong, ZHANG Ming-Ming, LI Wei-Wei, WANG Lei, HU Kai-Feng, GU Yong-Zhe, QIU Li-Juan. Construction of a high density genetic map between cultivated and semi-wild soybeans and identification of QTLs for plant height [J]. Acta Agronomica Sinica, 2022, 48(5): 1091-1102.
[3] WANG Ze, ZHOU Qin-Yang, LIU Cong, MU Yue, GUO Wei, DING Yan-Feng, NINOMIYA Seishi. Estimation and evaluation of paddy rice canopy characteristics based on images from UAV and ground camera [J]. Acta Agronomica Sinica, 2022, 48(5): 1248-1261.
[4] XU Xin, QIN Chao, ZHAO Tao, LIU Bin, LI Hong-Yu, LIU Jun. Function analysis of GmELF3s in regulating soybean flowering time and circadian rhythm [J]. Acta Agronomica Sinica, 2022, 48(4): 812-824.
[5] FU Mei-Yu, XIONG Hong-Chun, ZHOU Chun-Yun, GUO Hui-Jun, XIE Yong-Dun, ZHAO Lin-Shu, GU Jia-Yu, ZHAO Shi-Rong, DING Yu-Ping, XU Yan-Hao, LIU Lu-Xiang. Genetic analysis of wheat dwarf mutant je0098 and molecular mapping of dwarfing gene [J]. Acta Agronomica Sinica, 2022, 48(3): 580-589.
[6] HUANG Li, CHEN Yu-Ning, LUO Huai-Yong, ZHOU Xiao-Jing, LIU Nian, CHEN Wei-Gang, LEI Yong, LIAO Bo-Shou, JIANG Hui-Fang. Advances of QTL mapping for seed size related traits in peanut [J]. Acta Agronomica Sinica, 2022, 48(2): 280-291.
[7] ZHANG Yan-Bo, WANG Yuan, FENG Gan-Yu, DUAN Hui-Rong, LIU Hai-Ying. QTLs analysis of oil and three main fatty acid contents in cottonseeds [J]. Acta Agronomica Sinica, 2022, 48(2): 380-395.
[8] WANG Ying, GAO Fang, LIU Zhao-Xin, ZHAO Ji-Hao, LAI Hua-Jiang, PAN Xiao-Yi, BI Chen, LI Xiang-Dong, YANG Dong-Qing. Identification of gene co-expression modules of peanut main stem growth by WGCNA [J]. Acta Agronomica Sinica, 2021, 47(9): 1639-1653.
[9] ZHANG Bo, PEI Rui-Qing, YANG Wei-Feng, ZHU Hai-Tao, LIU Gui-Fu, ZHANG Gui-Quan, WANG Shao-Kui. Mapping and identification QTLs controlling grain size in rice (Oryza sativa L.) by using single segment substitution lines derived from IAPAR9 [J]. Acta Agronomica Sinica, 2021, 47(8): 1472-1480.
[10] LUO Lan, LEI Li-Xia, LIU Jin, ZHANG Rui-Hua, JIN Gui-Xiu, CUI Di, LI Mao-Mao, MA Xiao-Ding, ZHAO Zheng-Wu, HAN Long-Zhi. Mapping QTLs for yield-related traits using chromosome segment substitution lines of Dongxiang common wild rice (Oryza rufipogon Griff.) and Nipponbare (Oryza sativa L.) [J]. Acta Agronomica Sinica, 2021, 47(7): 1391-1401.
[11] HAN Yu-Zhou, ZHANG Yong, YANG Yang, GU Zheng-Zhong, WU Ke, XIE Quan, KONG Zhong-Xin, JIA Hai-Yan, MA Zheng-Qiang. Effect evaluation of QTL Qph.nau-5B controlling plant height in wheat [J]. Acta Agronomica Sinica, 2021, 47(6): 1188-1196.
[12] WANG Wu-Bin, TONG Fei, KHAN Mueen-Alam, ZHANG Ya-Xuan, HE Jian-Bo, HAO Xiao-Shuai, XING Guang-Nan, ZHAO Tuan-Jie, GAI Jun-Yi. Detecting QTL system of root hydraulic stress tolerance index at seedling stage in soybean [J]. Acta Agronomica Sinica, 2021, 47(5): 847-859.
[13] ZHOU Xin-Tong, GUO Qing-Qing, CHEN Xue, LI Jia-Na, WANG Rui. Construction of a high-density genetic map using genotyping by sequencing (GBS) for quantitative trait loci (QTL) analysis of pink petal trait in Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(4): 587-598.
[14] LI Shu-Yu, HUANG Yang, XIONG Jie, DING Ge, CHEN Lun-Lin, SONG Lai-Qiang. QTL mapping and candidate genes screening of earliness traits in Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(4): 626-637.
[15] SHEN Wen-Qiang, ZHAO Bing-Bing, YU Guo-Ling, LI Feng-Fei, ZHU Xiao-Yan, MA Fu-Ying, LI Yun-Feng, HE Guang-Hua, ZHAO Fang-Ming. Identification of an excellent rice chromosome segment substitution line Z746 and QTL mapping and verification of important agronomic traits [J]. Acta Agronomica Sinica, 2021, 47(3): 451-461.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Add: No. 80 Xueyuan South Rd, Beijing 100081, P. R. China E-mail: zwxb301@caas.cn
Supported by Beijing Magtech Co.Ltd