Evidence map›Paper›PMID 42091679›Full record

ArticleScientific reports2026

Multivariate analysis of Solanum incanum L. based on morphological characterizations.

Ali Khadivi, Farhad Mirheidari, Abdolvahid Saeidifar, Younes Moradi, Yazgan Tunç, Yadigar Leyla Doğan

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Article in Scientific reports, 2026. 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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5 · Who and what money

Authors and funding

6 authors.

Ali KhadiviDepartment of Horticultural Sciences, Faculty of Agriculture and Natural Resources, Arak University, Arak, 38156-8-8349, Iran. a-khadivi@araku.ac.ir.ORCID http://orcid.org/0000-0001-6354-445X
Farhad MirheidariDepartment of Horticultural Sciences, Faculty of Agriculture and Natural Resources, Arak University, Arak, 38156-8-8349, Iran.
Abdolvahid SaeidifarMinistry of Agriculture Jihad, Zahedan, Sistan-va-Baluchestan, Iran.
Younes MoradiDepartment of Horticultural Sciences, Faculty of Agriculture and Natural Resources, Arak University, Arak, 38156-8-8349, Iran.
Yazgan TunçRepublic of Türkiye, Ministry of Agriculture and Forestry, General Directorate of Agricultural Research and Policies, Hatay Olive Research Institute Directorate, Hassa Station, 31700, Hassa, Hatay, Türkiye. yazgan.tunc@tarimorman.gov.tr.ORCID http://orcid.org/0000-0002-3228-8657
Yadigar Leyla DoğanDepartment of Horticulture, Faculty of Agriculture, Malatya Turgut Özal University, Malatya, Türkiye.ORCID http://orcid.org/0000-0002-7404-5653

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solanum incanum L., a wild relative of cultivated eggplant (S. melongena L.), is a valuable genetic resource for breeding programs due to its adaptability to harsh environments and resistance to biotic and abiotic stresses. Despite its potential, comprehensive morphological characterization of S. incanum remains limited. This study aimed to evaluate the morphological diversity of 45 wild S. incanum accessions from Sistan and Baluchestan, Iran, using multivariate analyses to identify key traits and superior genotypes for conservation and breeding. One-way analysis of variance (ANOVA) revealed significant differences among accessions for all evaluated traits (p < 0.05). Significant phenotypic variation was observed among accessions, with high coefficients of variation (CV > 20%, p < 0.05) for traits such as fruit shape (81.35%), basal leaf prickles (74.54%), and fruit flesh density (65.98%). Multivariate analyses (p < 0.01) revealed that plant architecture (PC1: 24.84% variance, eigenvalue = 8.69), fruit shape (PC2: 11.46%, eigenvalue = 4.01), and calyx morphology (PC3: 7.46%, eigenvalue = 2.61) were primary drivers of diversity. Correlation analysis showed strong associations between fruit breadth and weight (r = 0.94, p < 0.01), while multiple regression identified fruit weight as the most influential predictor of fruit length (β = 0.92, p ≤ 0.001). Heatmap clustering grouped accessions into distinct morphological clusters, with Euclidean distances ranging from 0.44 (most similar) to 10.86 (most divergent). The study identified eight elite genotypes ('Rachedr-41', 'Rachedr-13', 'Rachedr-3', 'Rachedr-33', 'Rachedr-34', 'Rachedr-44', 'Rachedr-15', 'Rachedr-9') exhibiting superior morphological traits, including larger fruit dimensions ('Rachedr-41': 28.15 mm length, 32.27 mm breadth, and 12.54 g weight) and enhanced seed characteristics ('Rachedr-33': 2.47 mm seed length). These accessions, positioned outside the 95% confidence ellipse in PCA, represent promising candidates for introgression into cultivated eggplant to improve agronomic performance. The findings underscore the importance of S. incanum as a genetic reservoir and provide a robust framework for future germplasm conservation and breeding initiatives.

Indexed as

SolanumFruitGenetic VariationGenotypeIranMultivariate AnalysisPhenotypePlant BreedingQuantitative Trait, HeritableBiodiversity conservationGermplasm characterizationMultivariate statisticsPhenotypic plasticitySolanaceae wild relativesTrait correlations

Identifiers

PMID42091679
PMCPMC13338054

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