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Keywords: agricultural zoning, land suitability, GIS, WLC, climate change adaptation, Slovenia
Published in DiRROS: 07.08.2026; Views: 241; Downloads: 161
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Abstract: Steroidal glycoalkaloids ( α-solanine and α-chaconine) are major potato toxins whose accurate quantification is often challenged by matrix effects and chromatographic selectivity. This study reports the optimisation and validation of a robust reversed-phase HPLC-DAD method for the determination of glycoalkaloids in potato tissues, combined with a systematic assessment of the environmental sustainability of the analytical workflow. Extraction conditions were optimized by integrating systematic solvent screening with a factorial experimental design to evaluate the effect of key operational variables on glycoalkaloid recovery and refine extraction performance The resulting extraction medium improved extract cleanliness and chromatographic stability. A subsequent C18 solid-phase extraction SPE step further reduced matrix effect and enhanced analytical selectivity. Chromatographic separation was achieved on a conventional C18 column using an acetonitrile-water gradient, providing baseline resolution (Rs > 1.5) of α 2 -solanine and α-chaconine with stable diode-array detection (DAD) at 205 nm. The method was validated according to ICH Q2(R2) and AOAC guidelines, demonstrating excellent linearity (R > 0.995), low limits of detection (0.462–0.767 µg/mL) and quantification (1.540–2.558 µg/mL), high precision (≤ 5% RSD), and recoveries of 90–105%. Robustness testing confirmed minimal sensitivity to routine variations in chromatographic parameters. Application to potato breeding lines demonstrated reliable quantification and revealed genotype-dependent variation in glycoalkaloid content. The environmental assessment of the analytical procedure was evaluated using Analytical Eco-scale, GAPI and AGREE metrics, demonstrating reduced solvent consumption, avoidance of strongly acidic extraction conditions, and a simplified sample preparation workflow. The proposed HPLC-DAD workflow provides a validated, high-performance, and environmentally conscious approach for routine GA quantification, suitable for food-safety monitoring, regulatory compliance and breeding programme applications.
Keywords: α-chaconine, α-solanine, analytical method, HPLC-DAD, potato tubers, environmental sustainability
Published in DiRROS: 10.06.2026; Views: 263; Downloads: 259
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Abstract: AbstractUnderstanding interactions among genotype, environment, and management iscrucial for optimizing crop performance under climate variability. Sweetpotato (Ipo-moea batatas (L.) Lam.), a nutrient-rich root crop increasingly cultivated in temperateregions, exhibits complex source-sink dynamics that remain insufficiently character-ized in organic and mulch-based systems. This study evaluated vegetative growth andstorage root yield of four varieties (Martina, Janja, Lučka, and Purple Speclet) grownunder conventional and organic production, with and without polyethylene mulch,across two contrasting seasons (2021–2022) in Slovenia. A randomized completeblock design with four replications was used to assess 15 agro-morphological traits,and linear mixed-effects models and multivariate analyses quantified factor effectsand interactions. Variety and cultivation method predominantly influenced vegetativetraits (η2 = 30.26% and 24.85%), while variety and growing season contributed mostto yield variance (35.56% and 20.88%). Polyethylene mulch significantly increasedabove-ground biomass (677–1329 g plant−1 ) and total storage root yield (922–1548 gplant−1 ), confirming its role in improving the soil-plant microenvironment. Mar-tina showed the highest and most stable yield across systems. Pearson correlationsindicated strong positive relationship among yield components (r = 0.77–0.93) andmoderate positive correlations between vegetative biomass and yield (r = 0.49–0.60),reflecting coordinated yet distinct source-sink patterns. Principal component analysisseparated treatment combinations and revealed significant genotype × management× season interactions, particularly under mulch in 2022. Overall, combining suit-able varieties with polyethylene mulch substantially enhanced productivity, reducingthe organic-conventional yield gap to ∼11%. These results support climate-adapted strategies based on efficient resource use and optimized biomass partitioning intemperate agroeccosystems.
Keywords: sweetpotato, genotype, environment, management, climate variability
Published in DiRROS: 21.05.2026; Views: 321; Downloads: 374
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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: 448; Downloads: 212
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Keywords: garlic, tissue culture, conservation, gene bank, germplasm
Published in DiRROS: 02.02.2026; Views: 502; Downloads: 377
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