1. Uncovering phenotypic variation in common bean (Phaseolus vulgaris L.) : insights from the INCREASE projectHourieh Tavakoli Hasanaklou, Lovro Sinkovič, Roberto Papa, Elena Bitocchi, Elisa Bellucci, Peter Dolničar, Barbara Pipan, 2026, original scientific article Abstract: The common bean (Phaseolus vulgaris L.) is a major food legume and an important plant genetic resource for sustainable agriculture. Effective use of this diversity requires integrated evaluation of phenotypic variation and agronomic performance, with preliminary assessments of line performance across seasons. In this study, phenotypic diversity was evaluated in a subsample of the INCREASE R-core collection, a large and well-defined core set of common-bean SSD lines derived from heterogeneous germplasm lines. A total of 507 lines were characterized using 57 agro-morphological traits. Multivariate analyses revealed wide phenotypic diversity structured mainly by growth habit, phenology, and yield-related traits, with clear differentiation among lines. Mixed-data clustering identified cluster 4 as the main phenotypic group associated with higher seed- and yield-related performance and composed predominantly of indeterminate climbing landraces. Multi-trait selection indices generally ranked lines from this group highest, while early, small-seeded types tended to show lower overall performance. Evaluation of a selected subset of 19 lines across two growing seasons revealed marked year-to-year variation in yield performance, indicating contrasting responses among otherwise high-performing lines. The multi-trait genotype–ideotype distance index further distinguished lines with balanced performance across traits and years. Overall, this study shows that large-scale phenotypic characterization combined with multi-trait evaluation can provide a useful exploratory basis for identifying breeding-relevant ideotypes and promising lines for further validation for common-bean improvement.
Keywords: common bean, phenotypic diversity, germplasm evaluation, multivariate analysis, selection index, year-to-year variation, yield stability
Published in DiRROS: 20.04.2026; Views: 463; Downloads: 225
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2. Establishment and phenotypic characterization of genetically diverse core collections of Lupinus albusUmesh Kumar Tanwar, Magdalena Tomaszewska, Katarzyna Czepiel, Mohamed Neji, Humaira Jamil, Lorenzo Rocchetti, Alice Pieri, Elena Bitocchi, Elisa Bellucci, Barbara Pipan, Vladimir Meglič, Markus Oppermann, Magdalena Kroc, Roberto Papa, Karolina Susek, 2025, original scientific article Keywords: plant genetic resources, phenotypic diversity, germplasm conservation, core collection, food legumes
Published in DiRROS: 06.10.2025; Views: 867; Downloads: 491
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3. Genetic and phenotypic characterization of global Lupinus albus genetic resources for the development of a CORE collectionUmesh Kumar Tanwar, Magdalena Tomaszewska, Katarzyna Czepiel, Mohamed Neji, Humaira Jamil, Lorenzo Rocchetti, Alice Pieri, Elena Bitocchi, Elisa Bellucci, Barbara Pipan, Vladimir Meglič, Magdalena Kroc, Roberto Papa, Karolina Susek, 2024, other component parts Keywords: food grain legume, seed protein, adaptability, climatic conditions, soil conditions, cultivars, phenotypically diverse germplasm
Published in DiRROS: 09.04.2025; Views: 1245; Downloads: 703
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4. Application of non-destructive MARVIN and NIR seed screening of pre-breeding material: A case study on common bean (Phaseolus vulgaris), white lupin (Lupinus albus) and Andean lupin (L. mutabilis)Barbara Pipan, Lovro Sinkovič, Mohamed Neji, Vladimir Meglič, Karolina Susek, Magdalena Kroc, Elisa Bellucci, Elena Bitocchi, Roberto Papa, 2025, original scientific article Keywords: legumes, NIR, spectroscopy, plant genetic resources, pre-breeding collection, protein content, seed traits
Published in DiRROS: 25.02.2025; Views: 1363; Downloads: 838
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