Abstract
In bread wheat, single-locus and two-locus QTL analyses were conducted for seven yield and yield contributing traits using two different mapping populations (P I and P II). Single-locus QTL analyses involved composite interval mapping (CIM) for individual traits and multiple-trait composite interval mapping (MCIM) for correlated yield traits to detect the pleiotropic QTLs. Two-locus analyses were conducted to detect main effect QTLs (M-QTLs), epistatic QTLs (E-QTLs) and QTL × environment interactions (QE and QQE). Only a solitary QTL for spikelets per spike was common between the above two populations. HomoeoQTLs were also detected, suggesting the presence of triplicate QTLs in bread wheat. Relatively fewer QTLs were detected in P I than in P II. This may be partly due to low density of marker loci on P I framework map (173) than in P II (521) and partly due to more divergent parents used for developing P II. Six QTLs were important which were pleiotropic/coincident involving more than one trait and were also consistent over environments. These QTLs could be utilized efficiently for marker assisted selection (MAS).
Similar content being viewed by others
References
Araki E, Miura H, Sawada S (1999) Identification of genetic loci affecting amylose content and agronomic traits on chromosome 4A of wheat. Theor Appl Genet 98:977–984
Basten CJ, Weir BS, Zeng Z-B (1994) Zmap—a QTL cartographer. In: Smith C, Gavora JS, Benkel J, Chesnais B, Fairfull W, Gibson JP, Kennedy BW, Burnsid EB (eds) Proceedings of the 5th world congress on genetics applied to livestock production: computing strategies and software, vol 22. Organizing Committee, 5th World Congress on Genetics Applied to Livestock Production, Guelph, Ontario, pp 65–66
Bhat SR, Goud JV (1979) Monosomic analysis of some morphological characters in wheat (Triticum aestivum L.). Wheat Inf Serv 50:14–18
Blanco A, Lotti C, Simeone R, Signorile A, De Santis V, Pasqualone A, Troccoli A, Di Fonzo N (2001) Detection of quantitative trait loci for grain yield and yield components across environments in durum wheat. Cereal Res Commun 29:237–244
Börner A, Schumann E, Furste A, Coster H, Leithold B, Röder MS, Weber WE (2002) Mapping of quantitative trait loci determining agronomic important characters in hexaploid wheat (Triticum aestivum L). Theor Appl Genet 105:921–936
Cao G, Zhu J, He C, Gao Y, Yan J, Wu P (2001) Impact of epistasis and QTL × environment interaction on the development behavior of plant height in rice (Oryza sativa L.). Theor Appl Genet 103:153–160
Carlborg O, Haley CS (2004) Epistasis: too often neglected in complex trait studies. Nat Rev Genet 5:618–625
Campbell BT, Baenziger PS, Gill KS, Eskridge KM, Budak H, Erayman M, Dweikat I, Yen Y (2003) Identification of QTLs and environmental interactions associated with agronomic traits on chromosome 3A of wheat. Crop Sci 43:1493–1505
Churchill GA, Doerge RW (1994) Empirical threshold values for quantitative trait mapping. Genetics 138:963–971
Doerge RW, Churchill GA (1996) Permutation tests for multiple loci affecting a quantitative character. Genetics 142:285–294
Erickson D (2005) Mapping the future of QTL’s. Heredity 95:417–418
Gao YM, Zhu J, Song YS, He CZ, Shi CH, Zing YZ (2004) Analysis of digenic epistatic effects and QE interaction effects QTL controlling grain weight in rice. J Zhejiang Univ (Agric & Life Sci) 5:371–377
Goud JV, Sridevi O (1988) Cytogenetic investigations of some quantitative characters in hexaploid wheat (Triticum aestivum L.) using F2 monosomic analysis. In: Miller TE, Koebner RMD (eds) Proceedings of the 7th International Wheat Genetics Symposium, Cambridge, UK, pp 521–525
Grafius JE (1978) Multiple characters and correlated response. Crop Sci 18:931–934
Groos C, Robert N, Bervas E, Charmet G (2003) Genetic analysis of grain protein-content, grain yield and thousand-kernel weight in bread wheat. Theor Appl Genet 106:1032–1040
Gupta PK, Varshney RK, Sharma PC, Ramesh B (1999) Molecular markers and their applications in wheat breeding. Plant Breed 118:369–390
Hanchinal RR, Goud JV (1982) Genetic analysis of tetraploid wheat Triticum durum cv. Bijaga Yellow by utilisation of monopentaploid hybrids. Wheat Inf Serv 55:22–26
Holland JB (2001) Epistasis and plant breeding. Plant Breed Rev 21:27–92
Holland JB, Portyanko VA, Hoffman DL (2002) Genomic regions controlling vernalization and photoperiod responses in oat. Theor Appl Genet 105:113–126
Hoogendoorn J (1985) A reciprocal F1 monosomic analysis of the genetic control of time of emergence, number of leaves, number of spikelets in wheat. Euphytica 34:545–558
Huang XQ, Coster H, Ganal MW, Röder MS (2003) Advanced backcross QTL analysis for the identification of quantitative trait loci alleles from wild relatives of wheat (Triticum aestivum L.). Theor Appl Genet 106:1379–1389
Huang XQ, Kempf H, Ganal MW, Röder MS (2004) Advanced backcross QTL analysis in progenies derived from a cross between a German elite winter wheat variety and synthetic wheat (Triticum aestivum L.). Theor Appl Genet 109: 933–943
Jahoor A, Eriksen L, Backes G (2004) QTLs and genes for disease resistance in barley and wheat. In: Gupta PK, Varshney RK (eds) Cereal genomics. Kluwer Academic Publishers, Dordrecht The Netherlands, pp 199–251
Joshi BC, Kumar S (1967) Variation and covariation of quantitative characters in euploids and aneuploids for chromosome 5A in wheat. Indian J Genet 27:86–89
Juenger TE, Mckay JK, Hausmann N, Keurentjes JB, Sen S, Stowe KE, Dawson TE, Simms EL, Richards JH (2005a) Identification and characterization of QTL underlying whole-plant physiology in Arabidopsis thaliana: δ13 C stomatal conductance and transpiration efficiency. Plant, Cell Env 28:697–708
Juenger TE, Sen S, Stowe KE, Simms EL (2005b) Epistasis and genotype environment interaction for quantitative trait loci affecting flowering time in Arabidopsis thaliana. Genetica 123:83–101
Kamat RT (1980) Disomic F3 analysis in hexaploid wheat (T. aestivum L. em.) using Pb C591 monosomic series and cv. UP 301. J Agri Sci 8:205
Kato K, Miura H, Sawada S (2000) Mapping QTLs controlling grain yield and its components on chromosome 5A of wheat. Theor Appl Genet 101:1114–1121
Khalifa MA, Mahdy EE, El-Hanawy HH (1988) Genetic studies of yield components in some wheat crosses. In: Miller TE, Koebner RMD (eds) Proceedings of the 7th International Wheat Genetics Symposium, Cambridge, UK, pp 1125–1132
Kulwal PL, Kumar N, Kumar A, Gupta RK, Balyan HS, Gupta PK (2005) Gene networks in hexaploid wheat: interacting quantitative trait loci for grain protein content. Funct Integr Genomics 5:254–259
Kulwal PL, Roy JK, Balyan HS, Gupta PK (2003) QTL mapping for growth and leaf characters in bread wheat. Plant Sci 164:267–277
Kulwal PL, Singh R, Balyan HS, Gupta PK (2004) Genetic basis of pre-harvest sprouting tolerance using single-locus and two-locus QTL analyses in bread wheat. Funct Integr Genomics 4:94–101
Law CN (1967) The location of genetic factors controlling a number of quantitative characters in wheat. Genetics 56:445–461
Law CN, Worland AJ (1972) Aneuploidy in wheat and its use in genetic analysis. Plant Breeding Institute, Cambridge, Ann Rep, pp 25–65
Li W, Gill BS (2004) Genomics for cereal improvement. In: Gupta PK, Varshney RK (eds) Cereal genomics. Kluwer Academic Publishers, Dordrecht, The Netherlands, pp 585–634
Li ZK, Pinson SRM, Park WD, Paterson AH, Stansel JW (1997) Epistasis for three yield components in rice Oryza sativa L. Genetics 145:453–465
Li ZK, Yu SB, Lafitte HR, Huang N, Courtois B, Hittalmani S, Vijayakumar CHM, Liu GF, Wang GC, Shashidhar HE, Zhuang JY, Zheng KL, Singh VP, Sidhu JS, Srivantaneeyakul S, Khush GS (2003) QTL × environment interactions in rice. I. Heading date and plant height. Theor Appl Genet 108:141–153
Mackay TFC (2001) The genetic architecture of quantitative traits. Annu Rev Genet 33:303–339
Marza F, Bai G-H, Carver BF, Zhou W-C (2006) Quantitative trait loci for yield and related traits in the wheat population Ning7840 × Clark. Theor Appl Genet 112: 688–698
Mei HW, Li ZK, Shu QY, Guo LB, Wang YP, Yu XQ, Ying CS, Luo LJ (2005) Gene actions of QTLs affecting several agronomic traits resolved in a recombinant inbred rice population and two backcross populations. Theor Appl Genet 110:649–659
Mei HW, Luo LJ, Ying CS, Wang YP, Yu XQ, Guo LB, Paterson AH, Li ZK (2003) Gene actions of QTLs affecting several agronomic traits resolved in a recombinant inbred rice population and two testcross populations. Theor Appl Genet 110:649–659
Moncada P, Martinez CP, Borrero J, Chatel M, Gauch Jr H, Guimaraes E, Tohme J, McCouch SR (2001) Quantitative trait loci for yield and yield components in an Oryza sativa × Oryza rufipogon BC2F2 population evaluated in an upland environment. Theor Appl Genet 102:41–52
Narasimhamoorthy B, Gill BS, Fritz AK, Nelson JC, Brown-Guedira GL (2006) Advanced backcross QTL analysis of a hard winter wheat × synthetic wheat population. Theor Appl Genet DOI 10.1007/s00122-005-0159-0
Prasad M, Kumar N, Kulwal PL, Röder MS, Balyan HS, Dhaliwal HS, Gupta PK (2003) QTL analysis for grain protein content using SSR markers and validation studies using NILs in bread wheat. Theor Appl Genet 106:659–667
Quarrie SA, Steed A, Calestani C, Semikhodskii A, Lebreton C, Chinoy C, Steele N, Pljevljakusic D, Waterman E, Weyen J, Schondelmaier J, Habash DZ, Farmer P, Saker L, Clarkson DT, Abugalieva A, Yessimbekova M, Turuspekov Y, Abugalieva S, Tuberosa R, Sanguineti M-C, Hollington PA, Aragues R, Royo A, Dodig D (2005) A high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring × SQ1 and its use to compare QTLs for grain yield across a range of environments. Theor Appl Genet 110:865–880
Sadananda AR (1977) Cytogenetic investigations of some morphological and grain characters in hexaploid wheat (T. aestivum L. em) using F2 monosomic analysis. J Agri Sci 11:257
Shah MM, Gill KS, Baenziger PS, Yen Y, Kaeppler SM, Ariyarathne HM (1999) Molecular mapping of loci for agronomic traits on chromosome 3A of bread wheat. Crop Sci 39:1728–1732
Shen X, Zhang T, Guo W, Zhu X, Zhang X (2006) Mapping fiber and yield QTLs with main, epistatic and QTL × environment interaction effects in recombinant inbred lines of upland cotton. Crop Sci 46:61–66
Shnaider T, Dorokhova T (1979) Monosomic analysis of some quantitative characters in bread wheat. Biologia 28:250–259
Sutka J, Rajki E (1981) Monosomic F2 analysis of some quantitative characters in the wheat variety-Rannaayya12. Novenytermeles 30:97–102
Tuberosa R, Salvi S, (2004) QTLs and genes for tolerance to abiotic stresses in cereals. In: Gupta PK, Varshney RK (eds) Cereal genomics. Kluwer, The Netherlands, pp 253–315
Van Deynze AE, Dubcovsky J, Gill KS, Nelson JC, Sorrells ME, Dvorak J, Gill BS, Lagudah ES, McCouch SR, Appels R (1995) Molecular-genetic maps for group 1 chromosomes of Triticeae species and their relation to chromosomes in rice and oat. Genome 38:45–59
Wang S, Basten CJ, Zeng Z (2004) Window QTL cartographer. V2.0 Program in statistical genetics, North Carolina State University, North Carolina. http:www.statgen.ncsu.edu/qtlcart/WQTLCart.htm
Xing YZ, Tan YF, Hua JP, Sun XL, Xu CG, Zhang Q (2002) Characterization of the main effects, epistatic effects and their environmental interactions of QTLs on the genetic basis of yield traits in rice. Theor Appl Genet 105:248–257
Xionglei H, Jianzhi Z (2006) Toward a molecular understanding of pleiotropy. Genetics DOI.10.1534/genetics.106.060269
Yan JB, Tang H, Huang YO, Zheng YL, Li JS (2006) Quantitative trait loci mapping and epistatic analysis for grain yield and yield components using molecular markers with an elite maize hybrid. Mol Breed DOI: 10.1007/s10681–005–9060-9
Yu SB, Li JX, Xu CG, Tan YF, Gao YJ, Li XH, Zhang Q, Saghai Maroof MA (1997) Importance of epistasis as the genetic basis of heterosis in an elite rice hybrid. Proc Natl Acad Sci USA 94:9226–9231
Zhuang J-Y, Fan Y-Y, Rao Z-M, Wu JL, Xia YW, Zheng KL (2002) Analysis on additive effects and additive-by-additive epistatic effects of QTLs for yield traits in a recombinant inbred line population of rice. Theor Appl Genet 105:1137–1145
Acknowledgements
National Agricultural Technology Project, Indian Council of Agricultural Research, New Delhi and Department of Biotechnology, Government of India supported this work. During the period of this study, N.K. and P.L.K. each held a Senior Research Fellowship of the Council of Scientific and Industrial Research (CSIR), New Delhi and P.K.G. held positions of UGC Emeritus Fellow (2002–2003) and INSA Senior Scientist. Thanks are due to Professor Jun Zhu, Zhejiang University, Hangzhou, China for conducting two-locus QTL analysis and to G.B.P.U.A. & T., Pantnagar and P.A.U., Ludhiana, India for their help in conducting field trials.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kumar, N., Kulwal, P.L., Balyan, H.S. et al. QTL mapping for yield and yield contributing traits in two mapping populations of bread wheat. Mol Breeding 19, 163–177 (2007). https://doi.org/10.1007/s11032-006-9056-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11032-006-9056-8