Turkish Journal of Agriculture and Forestry
Abstract
This study identifies salt-tolerant durum wheat genotypes for breeding programmes by integrating phenotypic, genotypic, and computational analyses of 27 Mediterranean varieties. Cluster analysis and principal coordinate analysis (PCoA) revealed two distinct genetic groups: modern genotypes (high-yielding Tunisian/Italian cultivars) and ancient genotypes (traditional Tunisian landraces). Among tested cultivars, JnehKhottifa and Grécale exhibited exceptional salinity tolerance, maintaining >80% germination at 200 mM NaCl, while Om Rabiaa and Agili showed sensitivity (<50% germination). Bayesian network modelling was used to explore the probabilistic relationships between simple sequence repeat (SSR) markers (e.g., CFD40 and GWM182, PIC = 0.561) and important traits such as root length and germination rate under stress. Genetic diversity analysis (average PIC = 0.407) highlighted the potential of SSR markers for trait-marker associations. These findings establish a valuable platform for enhancing marker-assisted selection salt- tolerant durum wheat varieties, essential for securing yields in saline-prone Mediterranean regions.
Author ORCID Identifier
RIM MZID: 0000-0003-4279-2096
RAYDA BEN AYED : 0000-0002-4970-6579
IMÈNE AYACHI: 0000-0002-6704-9920
ELYÈS BABAY: 0000-0002-0712-9216
İNCİ TOLAY: 0000-0002-9273-3310
LAMIA HAMROUNI: 0000-0002-5577-7306
ABDULLAH EREN: 0000-0003-1187-7978
MOHSEN HANANA: 0000-0003-4409-2755
DOI
10.55730/1300-011X.3307
Keywords
Durum wheat, salinity tolerance, germination, simple sequence repeat, computational analyses
First Page
807
Last Page
822
Publisher
The Scientific and Technological Research Council of Türkiye (TÜBİTAK)
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
MZID, R, BEN AYED, R, AYACHI, I, BABAY, E, TOLAY, İ, HAMROUNI, L, EREN, A, & HANANA, M (2025). Salinity response in Tunisian durum wheat genotypes: genetic relationships, phenotypic variation, and SSR marker-based computational modelling. Turkish Journal of Agriculture and Forestry 49 (5): 807-822. https://doi.org/10.55730/1300-011X.3307