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Detection of QTLs associated with salinity tolerance in durum wheat based on association analysis

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Abstract

Salinity is globally a major constraint for crop production. Breeding for salinity tolerance is an effective approach to improve crop production and productivity under saline conditions provided it is based on a good understanding of the genetic control of salinity tolerance. This study deals with mapping QTLs for salinity tolerance in durum wheat (Triticum durum) by association analysis using SSR markers. A total of 119 varieties were treated in 100 mM of NaCl solution and the salinity tolerance indices (STI) for several traits were calculated as parameters to assess salinity tolerance. Among the traits assessed, the increased proportion of dead leaves (%DL) was the most suitable parameter for assessment of salinity tolerance in durum varieties at early vegetative stages because of a broader range of variation among varieties and narrower range of variation within varieties compared to other traits. The QTL associated with salinity tolerance using %DL as a parameter was detected on chromosome 4B. An additional 11 QTLs associated with seven parameters using STI of other traits were detected on chromosomes 3A, 5A, 5B, 6A and 7A.

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Abbreviations

QTL:

Quantitative trait locus

SSR:

Simple sequence repeats

STI:

Salt tolerance index

EC:

Electrical conductivity

LD:

Linkage disequilibrium

GLM:

General linear model

MLM:

Mixed linear model

CHL:

Chlorophyll content

NT:

Number of tillers per plant

NL:

Number of leaves per tiller

LL:

Leaf length

TFW:

Total fresh weight of shoot and root

SL:

Shoot length

RL:

Root length

SDW:

Shoot dry weight

RDW:

Root dry weight

%DL:

Increased percentage of dead leaves

NFS:

Number of fertile spikes

PH:

Plant height

BIO:

Biomass production

NS:

Number of seeds per spike

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Acknowledgments

This research was carried out by GRANDE project supported by JST/JICA, SATREPS (Science and Technology Research Partnership for Sustainable Development), Japan.

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Authors and Affiliations

  1. Laboratory of Plant Genetics and Breeding Science, Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, 305-8572, Japan

    Nejla Turki, Tariq Shehzad & Kazutoshi Okuno

  2. Alliance for Research on North Africa (ARENA), University of Tsukuba, Tsukuba, Japan

    Tariq Shehzad & Kazutoshi Okuno

  3. Laboratory of Genetics and Plant Breeding, National Institute of Agronomy (INAT), Tunis, Tunisia

    Moncef Harrabi

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  1. Nejla Turki
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  2. Tariq Shehzad
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  4. Kazutoshi Okuno
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Correspondence to Kazutoshi Okuno.

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Turki, N., Shehzad, T., Harrabi, M. et al. Detection of QTLs associated with salinity tolerance in durum wheat based on association analysis. Euphytica 201, 29–41 (2015). https://doi.org/10.1007/s10681-014-1164-7

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  • DOI: https://doi.org/10.1007/s10681-014-1164-7

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