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Research paper | Open Access

Conditional QTL mapping of three yield components in common wheat (Triticum aestivum L.)

Han Zhanga,b, Jiansheng Chena, Ruyu Lib, Zhiying Denga, Kunpu Zhanga, Bin Liua,b, Jichun Tiana( )
State Key Laboratory of Crop Biology, Ministry of Science and Technology/Key Laboratory of Crop Biology of Shandong Province, Department of Agronomy/Group of Wheat Quality Breeding, Shandong Agricultural University, Tai'an 271018, China
Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, China

Peer review under responsibility of Crop Science Society of China and Institute of Crop Science, CAAS.

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Abstract

Spike number per m2 (SN), kernel number per spike (KNPS) and thousand-kernel weight (TKW) are the three main components determining wheat (Triticum aestivum L.) yield. To evaluate the relationships among them a doubled haploid (DH) population consisting of 168 lines grown at three locations for three years was analyzed by unconditional and conditional QTL mapping. Thirty-three unconditional QTL and fifty-nine conditional QTL were detected. Among them, two QTL (QSN-DH-2B and QSN-DH-3A-1.1) improved SN, with no effect on KNPS. QKNPS-DH-2B-2.1 improved KNPS, with no effect on SN. QKNPS-DH-1A-1.1, QKNPS-DH-2D-1.1 and QKNPS-DH-6A improved KNPS, with no effect on SN or TKW. QKNPS-DH-6B was associated with increased SN and TKW. In addition, QTKW-DH-4B, QTKW-DH-5B and QTKW-DH-7B increased TKW without decreasing KNPS. These results provide useful information for marker assisted selection (MAS) and improvement in wheat yield.

Keywords

QTL mappingKernel number per spikeSpike number per m2Thousand-kernel weight

References

[1]

X.Q. Huang, H. Kempf, M.W. Ganal, M.S. Röder, Advanced backcross QTL analysis in progenies derived from a cross between a German elite winter wheat variety and a synthetic wheat (Triticum aestivum L.), Theor. Appl. Genet. 109 (2004) 933-943.
Crossref Google Scholar
[2]

F. Marza, G.H. Bai, B. Carver, W.C. Zhou, Quantitative trait loci for yield and related traits in the wheat population Ning7840×Clark, Theor. Appl. Genet. 112 (2006) 688-698.
Crossref Google Scholar
[3]

B. Heidari, B.E. Sayed-Tabatabaei, G. Saeidi, M. Kearsey, K. Suenaga, Mapping QTL for grain yield, yield components, and spike features in a doubled haploid population of bread wheat, Genome 54 (2011) 517-527.
Crossref Google Scholar
[4]

R.M. Patil, S.A. Tamhankar, M.D. Oak, A.L. Raut, B.K. Honrao, V.S. Rao, S.C. Misra, Mapping of QTL for agronomic traits and kernel characters in durum wheat (Triticum durum Desf.), Euphytica 190 (2013) 117-129.
Crossref Google Scholar
[5]

M.S. Lopes, M.P. Reynolds, C.L. McIntyre, K.L. Mathews, M.R.J. Kamali, M. Mossad, Y. Feltaous, I.S.A. Tahir, R. Chatrath, F. Ogbonnaya, M. Baum, QTL for yield and associated traits in the Seri/Babax population grown across several environments in Mexico, in the West Asia, North Africa, and South Asia regions, Theor. Appl. Genet. 126 (2013) 971-984.
Crossref Google Scholar
[6]

A. Börner, E. Schumann, A. Fürste, H. Coster, B. Leithold, M.S. Roder, W.E. Weber, Mapping of quantitative trait locus determining agronomic important characters in hexaploid wheat (Triticum aestivum L.), Theor. Appl. Genet. 105 (2002) 921-936.
Crossref Google Scholar
[7]

B. Narasimhamoorthy, B.S. Gill, A.K. Fritz, J.C. Nelson, G.L. Brown-Guedira, Advanced backcross QTL analysis of a hard winter wheat×synthetic wheat population, Theor. Appl. Genet. 112 (2006) 787-796.
Crossref Google Scholar
[8]

P. Ramya, A. Chaubal, K. Kulkarni, L. Gupta, N. Kadoo, H.S. Dhaliwal, P. Chhuneja, M. Lagu, V. Gupta, QTL mapping of 1000-kernel weight, kernel length, and kernel width in bread wheat (Triticum aestivum L.), J. Appl. Genet. 51 (2010) 421-429.
Crossref Google Scholar
[9]

J. Zhu, Analysis of conditional genetic effects and variance components in developmental genetics, Genetics 141 (1995) 1633-1639.
Crossref Google Scholar
[10]

G.F. Liu, J. Yang, H.M. Xu, Y. Hayat, J. Zhu, Genetic analysis of grain yield conditioned on its component traits in rice (Oryza sativa L.), Aust. J. Agric. Res. 59 (2008) 189-195.
Crossref Google Scholar
[11]

H. Jiang, L. Jiang, L.B. Guo, Z.Y. Gao, D.L. Zeng, L.H. Zhu, G.H. Liang, Q. Qian, Conditional and unconditional mapping of quantitative trait loci underlying plant height and tiller number in rice (Oryza sativa L.) grown at two nitrogen levels, Prog. Nat. Sci. 18 (2008) 1539-1547.
Crossref Google Scholar
[12]

B. Liu, L. Zhao, K.P. Zhang, Z.L. Zhu, B. Tian, J.C. Tian, Genetic dissection of plant height at different growth stages in common wheat, Sci. Agric. Sin. 43 (2010) 4562-4570 (in Chinese with English abstract).
Google Scholar
[13]

Z.H. Wang, X.S. Wu, Q. Ren, X.P. Chang, R.Z. Li, R.L. Jing, QTL mapping for developmental behavior of plant height in wheat (Triticum aestivum L.), Euphytica 174 (2010) 447-458.
Crossref Google Scholar
[14]

F. Cui, J. Li, A.M. Ding, C.H. Zhao, L. Wang, X.Q. Wang, S.S. Li, Y.G. Bao, X.F. Li, D.S. Feng, L.R. Kong, H.G. Wang, Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheat, Theor. Appl. Genet. 122 (2011) 1517-1536.
Crossref Google Scholar
[15]

L. Wang, F. Cui, J.P. Wang, J. Li, A.M. Ding, C.H. Zhao, X.F. Li, D.S. Feng, J.R. Gao, H.G. Wang, Conditional QTL mapping of protein content in wheat with respect to grain yield and its components, J. Genet. 91 (2012) 303-312.
Crossref Google Scholar
[16]

H. Zhang, F. Cui, L. Wang, J. Li, A.M. Ding, C.H. Zhao, Y.G. Bao, Q.P. Yang, H.G. Wang, Conditional and unconditional QTL mapping of drought-tolerance-related traits of wheat seedling using two related RIL populations, J. Genet. 29 (2013) 213-231.
Crossref Google Scholar
[17]

J. Zhao, H.C. Becker, D. Zhang, Y. Zhang, W. Ecke, Conditional QTL mapping of oil content in rapeseed with respect to protein content and traits related to plant development and grain yield, Theor. Appl. Genet. 113 (2006) 33-38.
Crossref Google Scholar
[18]

Z.Y. Deng, L. Zhao, B. Liu, K. Zhang, J.S. Chen, H.L. Qu, C.L. Sun, Y.X. Zhang, J.C. Tian, Conditional QTL mapping of sedimentation volume on seven quality traits in common wheat, J. Integr. Agric. 12 (2013) 2125-2133.
Crossref Google Scholar
[19]

X.Y. Zhang, Z.Y. Deng, H.R. Wang, J.F. Li, J.C. Tian, Unconditional and conditional QTL analysis of kernel weight related traits in wheat (Triticum aestivum L.) in multiple genetic backgrounds, Genetica 142 (2014) 371-379.
Crossref Google Scholar
[20]

W.R. Wu, W.M. Li, H.R. Lu, Strategy of dynamic mapping of quantitative trait loci, J. Biomath. 12 (1997) 490-498.
Google Scholar
[21]

L.B. Guo, Y.Z. Xing, H.W. Mei, C.G. Xu, C.H. Shi, P. Wu, L.J. Luo, Dissection of component QTL expression in yield formation in rice, Plant Breed. 124 (2005) 127-132.
Crossref Google Scholar
[22]

M. Yu, G.Y. Chen, Conditional QTL mapping for waterlogging tolerance in two RIL populations of wheat, Springer Plus 2 (2013) 1-7.
Crossref Google Scholar
[23]

Y. Hai, M.H. Kang, Breeding of a new wheat variety Huapei 3 with high yield and early maturity, J. Henan Agric. Sci. 5 (2007) 36-37 (in Chinese with English abstract).
Google Scholar
[24]

C.Q. Guo, Z.A. Bai, P.A. Liao, W.K. Jin, New high quality and yield wheat variety Yumai 57, China Seed Ind. (4) (2004) 54 (in Chinese).
Google Scholar
[25]

L. Zhao, K.P. Zhang, B. Liu, Z.Y. Deng, H.L. Qu, J.C. Tian, A comparison of grain protein content QTLs and flour protein content QTLs across environments in cultivated wheat, Euphytica 174 (2010) 325-335.
Crossref Google Scholar
[26]

J.S. Wang, W.H. Liu, H. Wang, L.H. Li, J. Wu, X.M. Yang, X.Q. Li, A.N. Gao, QTL mapping of yield-related traits in the wheat germplasm 3228, Euphytica 177 (2011) 277-292.
Crossref Google Scholar
[27]

K.P. Zhang, X.B. Xu, J.C. Tian, QTL mapping for grain yield and spike related traits in common wheat, Acta Agron. Sin. 35 (2009) 270-278 (in Chinese with English abstract).
Crossref Google Scholar
[28]

S.S. Li, J.Z. Jia, X.Y. Wei, X.C. Zhang, L.Z. Li, H.M. Chen, Y.D. Fan, H.Y. Sun, X.H. Zhao, T.D. Lei, Y.F. Xu, F.S. Jiang, H.G. Wang, L.H. Li, A intervarietal genetic map and QTL analysis for yield traits in wheat, Mol. Breed. 20 (2007) 167-178.
Crossref Google Scholar
[29]

G.J. Rebetzke, R.A. Richards, V.M. Fischer, B.J. Mickelson, Breeding long coleoptile, reduced height wheats, Euphytica 106 (1999) 159-168.
Crossref Google Scholar
[30]

Y.L. Li, Y.B. Dong, D.Q. Cui, Y.Z. Wang, Y.Y. Liu, M.G. Liu, X.H. Li, The genetic relationship between popping expansion volume and two yield components in popcorn using unconditional and conditional QTL analysis, Euphytica 163 (2008) 345-351.
Crossref Google Scholar
The Crop Journal
Volume 4 Issue 3,
June 2016
Pages 220-228
DOI: 10.1016/j.cj.2016.01.007
Cite this article:
Zhang H, Chen J, Li R, et al. Conditional QTL mapping of three yield components in common wheat (Triticum aestivum L.). The Crop Journal, 2016, 4(3): 220-228. https://doi.org/10.1016/j.cj.2016.01.007

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Received: 19 November 2015
Revised: 27 January 2016
Accepted: 15 March 2016
Published: 30 March 2016
© 2016 Crop Science Society of China and Institute of Crop Science, CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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