Evidence map›Paper›PMID 41469419›Full record

ArticleScientific reports2025

Integrative decision-support framework identifies drought-resilient sugar beet genotypes under water-limited conditions.

Mojtaba Kordrostami, Ali Akbar Ghasemi-Soloklui, Mehdi Rahimi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mojtaba KordrostamiNuclear Agriculture Research School, Nuclear Science and Technology Research Institute (NSTRI), Karaj, Iran. mkordrostami@aeoi.org.ir.
Ali Akbar Ghasemi-SolokluiNuclear Agriculture Research School, Nuclear Science and Technology Research Institute (NSTRI), Karaj, Iran.
Mehdi RahimiDepartment of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran. me.rahimi@kgut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought stress is a significant limitation to sustainable sugar beet (Beta vulgaris L.) production, underscoring the need for genotypes that maintain yield under water scarcity. This study evaluated 20 sugar beet genotypes under drought-stressed and non-stressed conditions using key stress tolerance indices to identify drought-resilient candidates. Significant variability was observed among genotypes, confirming the presence of exploitable diversity for improving drought tolerance. Strong associations among productivity-based indices indicated consistent performance patterns across environments. Multivariate analyses, including hierarchical clustering and principal component analysis, effectively differentiated genotypes based on stress-adaptive responses. To improve selection accuracy, multi-criteria decision-making approaches were applied. Across Fuzzy TOPSIS, Analytical Hierarchy Process (AHP), and VIKOR rankings, Genotype 3 consistently demonstrated the highest drought resilience, followed by Genotypes 5 and 13. These genotypes exhibited superior yield stability and reduced stress susceptibility, highlighting their suitability for cultivation in drought-prone regions. Indices such as GMP, STI, and REI were identified as the most influential contributors to stress tolerance. This integrative evaluation framework provides a reliable tool to support strategic genotype selection and breeding decisions and to strengthen efforts to develop climate-resilient sugar beet cultivars.

Indexed as

Beta vulgarisDroughtsWaterDecision Support TechniquesGenotypePlant BreedingStress, PhysiologicalWaterAbiotic stress toleranceAHPFuzzy TOPSISGenotype rankingVIKORWater stressYield stability

Identifiers

PMID41469419
PMCPMC12835036

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