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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: [email protected]

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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