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Mapping QTLs for yield components and chlorophyll a fluorescence parameters in wheat under three levels of water availability

Published online by Cambridge University Press:  15 June 2011

Ilona Czyczyło-Mysza*
Affiliation:
The F. Górski Institute of Plant Physiology, Polish Academy of Sciences, Poland
Izabela Marcińska
Affiliation:
The F. Górski Institute of Plant Physiology, Polish Academy of Sciences, Poland
Edyta Skrzypek
Affiliation:
The F. Górski Institute of Plant Physiology, Polish Academy of Sciences, Poland
Małgorzata Chrupek
Affiliation:
The F. Górski Institute of Plant Physiology, Polish Academy of Sciences, Poland Rzeszów University of Technology, Rzeszów, Poland
Stanisław Grzesiak
Affiliation:
The F. Górski Institute of Plant Physiology, Polish Academy of Sciences, Poland
Tomasz Hura
Affiliation:
The F. Górski Institute of Plant Physiology, Polish Academy of Sciences, Poland
Stefan Stojałowski
Affiliation:
West Pomeranian University of Technology in Szczecin, Poland
Beata Myśków
Affiliation:
West Pomeranian University of Technology in Szczecin, Poland
Paweł Milczarski
Affiliation:
West Pomeranian University of Technology in Szczecin, Poland
Steve Quarrie
Affiliation:
Institute for Research on Environment and Sustainability, Newcastle University, UK
*
*Corresponding author. E-mail: czyczylo-mysza@wp.pl

Abstract

Drought is one of the major factors limiting wheat yield in many developing countries worldwide. Parameters of chlorophyll a fluorescence kinetics under drought stress conditions have been used to characterize dehydration tolerance in wheat. In the present study, a set of 94 doubled haploid lines obtained from Chinese Spring × SQ1 (CSDH), mapped with 450 markers, was evaluated for yield (grain dry weight/main stem ear), number of grains/main stem ear (NG) and chlorophyll a fluorescence parameters (FC) under moderate and severe drought stress, and compared with results for well-watered plants. quantitative trait loci (QTLs) were identified using Windows QTLCartographer version 2.5 software and the results were analysed using single-marker analysis (SMA) and composite interval mapping (CIM). Analysis using SMA and CIM showed mostly similar QTLs for all traits, though more QTLs were identified by SMA than by CIM. The genetic control of yield, NG and FC varied considerably between drought-stressed and non-stressed plants. Although no major QTL co-locations were found for yield and FC using CIM, the co-location of QTLs for NG, yield and Fv/Fm in drought-stressed plants was observed on chromosome 5A using SMA.

Type
Research Article
Copyright
Copyright © NIAB 2011

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References

Börner, A, Schumann, E, Furste, A, Coster, H, Leithold, B, Roder, MS and Weber, WE (2002) Mapping quantitative trait loci determining agronomic important characters in hexaploid wheat. Theoretical and Applied Genetics 105: 921936.Google Scholar
Campbell, BT, Baenziger, PS, Gill, KS, Eskridge, KM, Budak, H, Erayman, M, Dweikat, I and Yen, Y (2003) Identification of QTLs and environmental interactions associated with agronomic traits on chromosome 3A wheat. Crop Science 43: 14931505.CrossRefGoogle Scholar
Foulkes, MJ, Reynolds, MP and Bradley, RS (2009) Genetic improvement of grain crops: yield potential. In: Sandras, VO and Calderini, DF (eds) Crop Physiology: Applications for Genetic Improvement and Agronomy. New York: Elsevier, pp. 355385.Google Scholar
Inoue, T, Inanaga, S, Sugimoto, Y and El Siddig, K (2004) Contribution of pre-anthesis assimilates and current photosynthesis to grain yield, and their relationships to drought resistance in wheat cultivars grown under different soil moisture. Photosynetica 42: 99104.Google Scholar
Kirigwi, FM, Van Ginkel, M, Brown-Guedira, G, Gill, BS, Paulsen, GM and Fritz, AK (2007) Markers associated with a QTL for grain yield in wheat under drought. Molecular Breeding 20: 401413.Google Scholar
Kumar, N, Kulwal, PL, Gaur, A, Tyagi, AK, Khurana, JP, Khurana, P, Balyan, HS and Gupta, PK (2006) QTL analysis for grain weight in common wheat. Euphytica 151: 135144.CrossRefGoogle Scholar
Kumar, N, Kulwal, PL, Balyan, HS and Gupta, PK (2007) QTL mapping for yield contributing traits in two mapping populations of bread wheat. Molecular Breeding 19: 163177.Google Scholar
Lebreton, C, Lazic-Jancic, V, Steed, A, Pekic, S and Quarrie, SA (1995) Identification of QTL for drought responses in maize and their use in testing causal relationships between traits. Journal of Experimental Botany 46: 853865.Google Scholar
Liang, Y, Zhang, K, Zhao, L, Liu, B, Meng, Q, Tian, J and Zhao, S (2010) Identification of chromosome regions conferring dry matter accumulation and photosynthesis in wheat (Triticum aestivum). Euphytica 171: 145156.Google Scholar
Lu, CM and Zhang, JH (1998) Effects of water stress on photosynthesis, chlorophyll fluorescence and photoinhibition in wheat plants. Australian Journal of Plant Physiology 25: 883892.Google Scholar
Maccaferri, M, Sanguineti, MC, Natoli, E, Araus-Ortega, JL, Ben Salem, M, Bort, J, Chenenaoui, S, Deambrogio, E, Garcia Del Moral, L, Demontis, A, El-Ahmed, A, Maalouf, F, Machlab, H, Moragues, M, Motawai, J, Nachit, M, Nserallah, N, Ouabbou, H, Royo, C and Tuberosa, R (2008) Quantitative trait loci for grain yield and adaptation of durum wheat (Triticum durum Desf.) across a wide range of water availability. Genetics 178: 489511.CrossRefGoogle ScholarPubMed
Maccaferri, M, Sanguineti, MC, Garcia Del Moral, L, Demontis, A, El-Ahmed, A, Maalouf, F, Moragues, M, Nachit, M, Nserallah, N, Royo, C and Tuberosa, R (2011) Association mapping in durum wheat grown across a broad range of water regimes and yield potential. Journal of Experimental Botany 62: 409438.CrossRefGoogle Scholar
Pugnaire, FI, Serrano, L and Pardos, J (1999) Constraints by water stress on plant growth. In: Pessarakli, M (ed.) Handbook of Plant and Crop Stress. New York: Marcel Dekker, pp. 271283.Google Scholar
Quarrie, SA, Laurie, DA, Zhu, J, Lebreton, C, Semikhodskii, A, Steed, A, Witsenboer, H, Calestani, C and Dodig, D (1997) QTL analysis to study the association between leaf size and abscisic acid accumulation in droughted rice leaves and comparisons across cereals. Plant and Molecular Biology 35: 155165.Google Scholar
Quarrie, SA, Steed, A, Calestani, C, Semikhodskii, A, Lebreton, C, Chinoy, C, Steele, N, Pljevljakusic, D, Waterman, W, 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 and 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. Theoretical and Applied Genetics 110: 865880.Google Scholar
Quarrie, SA, Pekic Quarrie, S, Radosevic, R, Rancic, D, Kaminska, A, Barnes, JD, Leverington, M, Ceoloni, C and Dodig, D (2006) Dissecting a wheat QTL for yield present in a range of environments: from the QTL to candidate genes. Journal of Experimental Botany 57: 26272637.Google Scholar
Tambussi, EA, Nogués, S and Araus, JL (2005) Ear of durum wheat under water stress: water relations and photosynthetic metabolism. Planta 221: 446458.Google Scholar
Thumma, BR, Naidu, BP, Chandra, A, Cameron, DF, Bahnisch, LM and Liu, C (2001) Identification of causal relationships among traits related to drought resistance in Stylosanthes scabra using QTL analysis. Journal of Experimental Botany 52: 203214.CrossRefGoogle ScholarPubMed
Wang, S, Basten, CJ and Zeng, ZB (2007) Windows QTL Cartographer, new version. Statistical Genetics, North Carolina State University.Google Scholar
Yang, DL, Jing, RL, Chang, XP and Li, W (2007) Quantitative trait loci mapping for chlorophyll fluorescence and associated traits in wheat (Triticum aestivum). Journal of Integrative Plant Biology 49: 646654.Google Scholar
Zhang, YJ, Zhao, CJ, Liu, LY, Wang, JH and Wang, RC (2005) Chlorophyll fluorescence detected passively by difference reflectance spectra of wheat (Triticum aestivum L.) leaf. Journal of Integrative Plant Biology 47: 12281235.CrossRefGoogle Scholar