Morphological diversity and early growth performance of F <sub>2</sub> populations of barberry ( <i>Berberis</i> spp.) from interspecific hybridization

This study assessed morphological and genetic diversity in twelve Berberis F 2 populations. Seeds were collected from selected F 1 hybrids resulting from crosses between Berberis integerrima , B. crataegina , and ‘Zereshk Bidaneh’-a commercial seedless barberry cultivar. Initial evaluations compared seed germination and seedling survival on three substrates: perlite, cocopeat, and peat moss. Germination rates varied widely among F 2 populations, ranging from 17% to 95.48%. A 1:1 mixture of cocopeat and perlite significantly enhanced germination. Twelve morphological and vegetative traits were subsequently measured, revealing substantial phenotypic variability across F 2 populations. Correlation analyses identified strong positive associations among key traits such as leaf number, plant height, and leaf morphology characters. Factorial analysis indicated that the first two factors explained 35.5% of the total variance, primarily differentiating populations based on leaf pigmentation and leaf-spine architecture. Heatmap clustering grouped the F 2 genotypes into six distinct phenotypic clusters. Notably, traits such as leaf margin spine (CV = 33.89%) and leaf pigmentation (CV &gt; 43%) exhibited high coefficients of variation, suggesting the potential for transgressive segregation and providing a wide basis for selection. These findings establish a robust framework for early-stage selection in barberry improvement programs.

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Publication Details

Journal
Journal of Berry Research
Published
2025-11-28
DOI
https://doi.org/10.1177/18785093251400597
Primary Topic
Berberine and alkaloids research
Type
article
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article

Morphological diversity and early growth performance of F 2 populations of barberry ( Berberis spp.) from interspecific hybridization

Yazgan Tunç, Mohsen Abedian, Mehdi Rezaei, Ali Khadivi
Journal of Berry Research
Berberine and alkaloids research
article

Morphological diversity and early growth performance of F 2 populations of barberry ( Berberis spp.) from interspecific hybridization

Yazgan Tunç, Mohsen Abedian, Mehdi Rezaei, Ali Khadivi
article en

Abstract

This study assessed morphological and genetic diversity in twelve Berberis F 2 populations. Seeds were collected from selected F 1 hybrids resulting from crosses between Berberis integerrima , B. crataegina , and ‘Zereshk Bidaneh’-a commercial seedless barberry cultivar. Initial evaluations compared seed germination and seedling survival on three substrates: perlite, cocopeat, and peat moss. Germination rates varied widely among F 2 populations, ranging from 17% to 95.48%. A 1:1 mixture of cocopeat and perlite significantly enhanced germination. Twelve morphological and vegetative traits were subsequently measured, revealing substantial phenotypic variability across F 2 populations. Correlation analyses identified strong positive associations among key traits such as leaf number, plant height, and leaf morphology characters. Factorial analysis indicated that the first two factors explained 35.5% of the total variance, primarily differentiating populations based on leaf pigmentation and leaf-spine architecture. Heatmap clustering grouped the F 2 genotypes into six distinct phenotypic clusters. Notably, traits such as leaf margin spine (CV = 33.89%) and leaf pigmentation (CV &gt; 43%) exhibited high coefficients of variation, suggesting the potential for transgressive segregation and providing a wide basis for selection. These findings establish a robust framework for early-stage selection in barberry improvement programs.

Journal of Berry ResearchVol. 16(1)
University of Shahrood (IR), Arak University (IR), Directorate of Health (IS)
Openalex Percentile: Top 60%
Berberine and alkaloids research
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Morphological diversity and early growth performance of F <sub>2</sub> populations of barberry ( <i>Berberis</i> spp.) from interspecific hybridization — Yazgan Tunç, Mohsen Abedian, et al. · Journal of Berry Research (2025) | TGRS Research Map | TGRS