Mapping QTLs for physiological and biochemical traits related to grain yield under control and terminal heat stress conditions in bread wheat (Triticum aestivum L.)
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In order to detect genomic regions with different effects for some of the physiological and biochemical traits of wheat, four experiments were conducted at Research Farm of Agricultural and Natural Resources Research Center of Zabol in 2015–2016 and 2016–2017 growing seasons. The experiments were carried out using four alpha lattice designs with two replications under non-stress and terminal heat stress conditions. Plant materials used in this study included 167 recombinant inbred lines and their parents (‘SeriM82’ and ‘Babax’). Six traits including grain yield (GY), proline content (PRO), water soluble carbohydrates (WSC), maximum efficiency of photosystem II (Fv/Fm), cytoplasmic membrane stability (CMS) and chlorophyll content (CHL) were evaluated. Genetic linkage map consisted of 211 AFLP marker, 120 SSR marker and 144 DArT markers with 1864 cm length and 4.4 cm mean distance. QTL analysis was carried out using a mixed-model-based composite interval mapping (MCIM) method. By the combined analysis of normal phenotypic values, 27 additive QTLs and five pairs of epistatic effects were identified for studied traits, among which two additive and one epistatic QTL showed significant QTL × environment interactions. By the combined analysis of stress phenotypic values, a total of 26 QTLs with additive effects and 5 epistatic QTLs were detected, among which one additive and one epistatic QTL showed QTL × environment interactions. Six QTLs with major effects (QGY-2B, QGY-2D, QPro-5B, QWSC-4A, QFv/Fm-6A and QCMS-4B), which were common between two conditions could be useful for marker-assisted selection (MAS) in order to develop heat tolerant and high-performance wheat varieties.
KeywordsEpistatic QTL Heat stress Recombinant inbred line Grain yield
The authors are very grateful to Dr. Lynne McIntyre for providing the marker data of SeriM82/Babax population. The Center of Agricultural Biotechnology, University of Zabol, Zabol, Iran is gratefully acknowledged for providing laboratory facilities.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
This article does not contain any studies with human participants or animals performed by any of the authors.
Informed consent was obtained from all individual participants included in the study.
- Blum A (1988) Plant breeding for stress environments. CRC Press. Inc., Boca Raton, p 223Google Scholar
- Hays D, Mason E, Do JH, Menz M, Reynolds M (2007) Expression quantitative trait loci mapping heat tolerance during reproductive development in wheat (Triticum aestivum). In: Wheat production in stressed environments, Springer, Dordrecht, pp 373–382Google Scholar
- Jalal Kamali M, Duveiller E (2008) Wheat production and research in Iran: A success story. In: Reynolds MP, Pietragalla J, Braun HJ (eds) Proceeding of the international symposium on wheat yield potential: challenges to international wheat breeding. CIMMYT. DF Mexico, pp 54–58Google Scholar
- Kosambi D (1944) The estimation of map distances from recombination values. Ann Eugen 2:75Google Scholar
- Lopes MS, Reynolds MP, McIntyre CL, Mathews KL, Kamali MJ, Mossad M, Feltaous Y, Tahir IS, Chatrath R, Ogbonnaya F (2013) 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 126:971–984CrossRefGoogle Scholar
- McIntyre CL, Mathews KL, Rattey A, Chapman SC, Drenth J, Ghaderi M, Reynolds M, Shorter R (2010) Molecular detection of genomic regions associated with grain yield and yield-related components in an elite bread wheat cross evaluated under irrigated and rainfed conditions. Theor Appl Genet 120:527–541CrossRefGoogle Scholar
- Mumtaz S, Naqvi SSM, Shereen A, Khan MA (1995) Proline accumulation in wheat seedlings subjected to various stresses. Acta Physiologiae Plantarum 17:17–20Google Scholar
- Reynolds M, Balota M, Delgado M, Amani I, Fischer R (1994) Physiological and morphological traits associated with spring wheat yield under hot, irrigated conditions. Funct Plant Biol 21:717–730Google Scholar
- Sadat S, Saeid KA, Bihamta MR, Torabi S, Salekdeh SGH, Ayeneh GAL (2013) Marker assisted selection for heat tolerance in bread wheat. J World Appl Sci 21:1181–1189Google Scholar
- Van Ooijen J (2006) Software for the calculation of genetic linkage maps in experimental populations Kyazma BV. Wageningen, Netherlands Google ScholarGoogle Scholar
- Yadawa U (1986) A rapid and nondestructive method to determine chlorophyll in intact leaves. HortScience 21:1449–1450Google Scholar