Search Results (2,000)

Background: Foliar fertilization is a crucial practice in modern viticulture to enhance grape yield and fruit quality. Micronized calcite is a fine-particle mineral fertilizer that potentially improves vine performance; however, its treatment timing and optimal dosage require further scientific validation under field conditions. Methods: This study investigated the effects of the use of micronized calcite as a foliar biostimulant on the Red Globe grape variety. Control and three treatments were compared: a control (no treatment), a single treatment (pre-bloom, 0.5%), two treatments (pre- and post-bloom, 0.5% + 0.5%), and three treatments (pre-bloom, post-bloom, and véraison, 0.5% + 0.5% + 0.5%). The evaluation encompassed phenological stages, total effective temperature, yield components, cluster and berry characteristics, and must composition. This was a single-season trial (2022) conducted at a single location with three replicates per treatment (n = 3); multi-year, multi-location validation is therefore required before the findings can be generalized. Results: All micronized calcite treatments slightly shortened the vegetation period compared to the control. Under the conditions of this single-season trial, the single pre-bloom treatment was associated with the highest yield parameters, with the average number of clusters per vine, cluster weight, and total grape yield per vine being higher than the control by 48.67%, 51.16%, and 121%, respectively. For must composition, only must yield differed significantly (between the 1st and 3rd treatments; p < 0.05); soluble solids content (+5.64%) and ripening index (+16.99%) were numerically higher but not statistically significant (p ≥ 0.05) and are therefore reported as trends rather than improvements. By contrast, the two-treatment (pre- and post-bloom) showed the highest values for physical berry traits, with cluster width and 100-berry weight exceeding the control by 35.03% and 11.11%, respectively. Conclusion: Under the semi-arid conditions of this single-season trial, foliar treatments of micronized calcite, particularly a single pre-bloom application, were associated with notable improvements in yield and must quality of Red Globe grapevines. These preliminary findings suggest that finely milled calcite may serve as a promising supplementary foliar fertilizer in viticulture; however, the results are context-specific, and multi-year, multi-location trials are required before broader recommendations can be made. Full article

Understanding how interannual climatic variability shapes must composition is critical for predicting wine quality under warming conditions, particularly for acid-retaining cultivars such as Vitis vinifera L. cv. Furmint. This study—conducted as a continuation of a previous investigation on Furmint berry weight, total soluble solids and total dry extract—evaluated titratable acidity, pH, potassium, ammonia and tannin content across three contrasting vintages (2022–2024) in the Tokaj wine region. Using a high-resolution meteorological dataset and an extensive climatic parameter matrix, exploratory analysis was conducted to evaluate responses, and the most influential thermal, radiation-related and water-balance related climatic factors associated with each must parameter were identified. Total acidity and pH showed consistent sensitivity to climatic variability: acidity decreased with mid-season warm nights and abundant summer rainfall, while pH was inversely associated with extreme heat events but increased under higher early-season rainfall and post-véraison irradiation. Potassium content exhibited partly atypical responses, showing positive correlations with late-season warm nights and frequent summer precipitation, and negative with early heat. Ammonia displayed weak to moderate climatic dependence, while tannic acid consistently decreased with higher thermal and irradiation loads. Overall, these results imply cultivar-specific climatic responses in Furmint and suggest that temperature extremes, nighttime heat and rainfall timing are important factors shaping must composition, providing a foundation to better understand the expression of vintage effects under climate change. Full article

Grape marc (Vitis labrusca), a major by-product of the winemaking industry, is generated in large quantities and represents a promising source of bioactive compounds. This residue is particularly rich in phenolic metabolites associated with antioxidant activity. In this study, supercritical CO₂ extraction was investigated as a sustainable strategy for the recovery of bioactive compounds from Vitis labrusca grape marc. A 2⁴⁻¹ fractional factorial design was employed to evaluate the effects of temperature (30–60 °C), pressure (137.9–275.8 bar), ethanol concentration (0–10 wt%), and particle size (116–601 µm) on extraction yield, total phenolic content (TPC), and antioxidant capacity (AC). Extraction performance was strongly influenced by operating conditions, revealing a clear trade-off between recovery and selectivity. The highest extraction yield (8.3 wt%) was obtained using 10 wt% ethanol as co-solvent, whereas the highest antioxidant capacity (365.3 µmol TE/g extract) was achieved under neat CO₂ conditions. TPC values reached approximately 69 mg GAE/g extract and were significantly affected by the combined effects of temperature, particle size, and ethanol concentration. The results revealed two distinct extraction regimes: a high-recovery regime promoted by ethanol addition and a high-selectivity regime under neat CO₂ conditions. Representative extracts were further characterized by UHPLC-QTOF-MS/MS. Ethanol-modified extraction was associated with higher relative abundance and diversity of flavonoids, stilbenes, and phenolic acids, whereas neat CO₂ extraction favored lipophilic metabolites such as oxylipins and unsaturated fatty acids. Selected operating conditions were successfully reproduced at pilot scale, supporting the scalability of the process. Overall, the results demonstrate that supercritical CO₂ extraction can be tailored to recover bioactive compounds from grape marc as extracts with distinct chemical profiles and provide a viable strategy for the valorization of Vitis labrusca winemaking residues. Full article

(1) Background: Soil nutrient availability in vineyards is shaped by physicochemical and biological processes. However, how baseline edaphic differences are related to soil microbial functional genes and plant elemental composition under biodynamic management remains unclear; (2) Methods: Two biodynamically managed Pinot Noir (Vitis vinifera L.) vineyard sites in Tasmania, hereafter referred to as site 1 (S1) and site 2 (S2), were compared at fruit set, veraison, and ripening. Soil physicochemical properties were measured, soil, leaf, and grape berry elemental compositions were assessed by X-ray fluorescence, and soil microbial taxonomic marker genes and soil microbial functional genes were quantified by qPCR. Because the dataset comprised only six site-by-stage composite samples without independent field-level biological replication, multivariate analyses and partial least squares path modeling were used as exploratory tools; (3) Results: The two sites showed distinct baseline soil physicochemical properties. Soil microbial functional genes varied across sites and phenological stages, with several nitrogen (N)-cycling genes showing higher values at S1 and amoA increasing toward ripening at both sites. AMG, defined here as an arbuscular mycorrhizal fungal (AMF)-related marker, also increased toward ripening and was interpreted separately from the N-cycling genes. Soil elements mainly reflected site-related differences, whereas leaf and berry elements showed clearer variation across phenological stages. The exploratory path model, based on this limited composite dataset, summarized sequential associations among soil physicochemical properties, microbial functional genes, leaf elements, and berry elements, as well as a direct association between soil physicochemical properties and berry elemental composition; (4) Conclusions: These findings describe exploratory soil–microbe–plant association patterns under biodynamic management and should not be interpreted as statistically inferential or causal evidence. Full article

Knowledge of the biology of the genus Vitis has undergone a profound transformation, evolving from the morphological descriptions of classical ampelography to the high-resolution analyses enabled by modern phylogenomics. This review explores the “Paradox of the Vine”—the remarkable phenotypic plasticity that historically complicated botanical nomenclature—and examines how genomic tools have helped resolve many of these long-standing taxonomic challenges. We trace the development of grapevine genomics from the first near-homozygous reference genome (PN40024) to the current era of telomere-to-telomere (T2T) assemblies and phased diploid genomes. Attention is given to the genomic “dark matter” represented by transposable elements and structural variation, which contribute substantially to varietal identity and species-specific adaptation to changing environmental conditions. Advances in bioinformatic methodologies, including pangenome graph construction and machine learning-based variant detection, now enable clonal discrimination and complex parentage analysis with unprecedented precision. The definition of genuine wild grapevines (Vitis vinifera subsp. sylvestris) remains a critical issue in studies of grapevine evolution, domestication, and genome structure. The traditional concept of wild populations free from introgression by cultivated grapevines has been increasingly challenged by ecological observations and molecular evidence. Distinguishing truly wild populations from feral lineages is therefore essential for reconstructing the history of grapevine domestication and understanding patterns of gene flow between cultivated and wild compartments. Future progress in Vitis systematics will depend on the integration of genomic, ecological, and morphometric approaches. We propose that the next generation of grapevine taxonomy will combine the historical insights of ampelography with high-throughput phenotyping and comprehensive pangenomic resources, leading to a predictive and evolutionarily informed framework for the classification of Vitis species and cultivars. Full article

Climate change is increasing the exposure of crops to drought stress, highlighting the need for integrative approaches to assess plant responses under field conditions. In this study, telomere length (TL) was evaluated in field-grown grapevine (Vitis vinifera L., cv. Aglianico) subjected to rainfed (RF) and controlled deficit irrigation (CDI) regimes. A qPCR-based protocol was applied together with physiological measurements, UAV-derived vegetation indices, and berry metabolomic profiling to investigate plant responses to different water regimes. Physiological and metabolomic analyses confirmed distinct responses between treatments, with rainfed vines showing more negative leaf water potential, lower stomatal conductance, and increased accumulation of stress-associated metabolites, including anthocyanins and abscisic acid. Linear mixed-effects modeling showed no significant difference in TL between treatments at the beginning of the experimental period (p = 0.198), whereas rainfed vines displayed significantly lower TL values than irrigated vines at the end of the growing season (p = 0.0009). TL decreased significantly over time in both treatments. The treatment × time interaction suggested a greater TL reduction in rainfed vines in the primary model (p = 0.064), and this effect was significant in a complete-pair sensitivity analysis (p = 0.036). These findings indicate an association between irrigation regime and telomere length variation under field conditions. The study provides preliminary evidence supporting the potential application of TL measurements for investigating plant responses to environmental stress in grapevine. Full article

Background: Colorectal cancer (CRC) remains a leading cause of mortality worldwide, with a significant proportion of patients presenting with metastatic disease (mCRC). While molecularly targeted therapies, including anti-EGFR and anti-VEGF agents, have improved survival outcomes, their efficacy is often limited by drug resistance, toxicity, and high costs. There is a growing need for sustainable strategies to enhance therapeutic efficacy. Methods: This review explores the emerging role of plant-derived compounds as synergistic adjuvants. Specifically, PubMed, Scopus, and Web of Science were searched for English-language articles published between January 2004 and June 2026, using combination of terms related to colorectal cancer, metastatic disease, anti-EGFR/anti-VEGF targeted therapy, phytochemicals/natural products, and gut microbiota; both primary studies and reviews were eligible. Results: Targeted therapies such as cetuximab and bevacizumab are the standard of care but face challenges related to RAS/BRAF mutations and primary tumour location. Clinical data demonstrate that while cetuximab improves overall survival in patients with RAS wild-type, left-sided tumours (median OS 31 vs. 26 months; HR 0.76, p = 0.012), progression-free survival remains comparable to that of bevacizumab. Concurrently, natural products like Vitis vinifera, Dendrobium candidum, and quercetin demonstrate significant preclinical potential in inhibiting angiogenesis, inducing apoptosis, and modulating the tumour microenvironment. The gut microbiome, particularly Fusobacterium nucleatum (whose reported prevalence varies widely across cohorts and reaches up to ~98% of CRC tissues only in selected series), has emerged as a key factor in chemoresistance. It should be emphasised that the great majority of the phytochemical-targeted therapy combinations discussed here are currently supported primarily by preclinical (in vitro and animal) studies rather than by clinical trials. Conclusions: Integrating evidence-based phytochemicals with conventional targeted therapies is a mechanistically compelling and potentially sustainable strategy that may enhance therapeutic efficacy, help overcome resistance, and mitigate adverse effects in mCRC management. However, because current support is largely preclinical, these combinations should be regarded as hypothesis-generating and require validation in prospective, biomarker-stratified clinical trials before clinical adoption. Full article

The increasing demand for low-alcohol wine products calls for effective vineyard strategies to reduce grape sugar concentration, while climate change is exacerbating sugar accumulation through warmer growing conditions. In this context, severe shoot trimming applied at specific phenological stages may represent a promising approach to induce sustained source limitation. A field experiment was conducted in 2025 on Vitis vinifera L. cv. Ortrugo to evaluate severe shoot trimming performed at the onset of berry softening. Vine growth, yield components, grape composition, and seasonal total soluble solids (TSSs) were monitored. Vine carbon reserves and shoot fruitfulness were assessed to evaluate carry-over effects. Experimental wines were produced to determine alcohol and fermentative aroma. Severe trimming markedly reduced leaf area and vine balance, leading to a sustained reduction in sugar accumulation. At harvest, grape TSSs decreased by 4.1 °Brix (17.6 vs. 21.7 °Brix) and the final wine alcohol concentration was lower by 3.4% (v/v). Yield was unaffected and no substantial negative effects on wine fermentative aroma were observed, while titratable acidity slightly increased. Even if trimming reduced winter starch concentration in roots, no reduction in shoot fruitfulness was observed in the subsequent spring. Severe trimming successfully reduced grape sugar and wine ethanol without compromising yield, aroma, or vine performance, supporting its potential for low-alcohol wine production and reduced-impact dealcoholization. Full article

Traditional Mediterranean grapevine landraces represent irreplaceable reservoirs of adaptive diversity, yet many regional germplasm pools remain poorly characterized, limiting conservation strategies and climate-resilient breeding. This study presents the first comparative genetic assessment of 154 local Vitis accessions from three historically interconnected but genomically underrepresented Mediterranean regions: Greece, Morocco, and Slovenia. Using 12 highly polymorphic nuclear SSR markers, we detected substantial genetic diversity (168 alleles; mean heterozygosity He = 0.881) with distinct regional signatures. Moroccan accessions exhibited the highest allelic richness and 11 private alleles, reflecting diverse agroecological adaptation. Slovenian germplasm formed a cohesive, genetically stable cluster with high effective allele numbers. Greek accessions exhibited the highest observed heterozygosity and 14 private alleles, consistent with the Aegean’s role as a major diversification hotspot. Despite >90% of variance occurring within individuals, AMOVA and pairwise FST (0.050–0.061) revealed low to moderate but significant geographic differentiation. Multivariate analyses (PCA, UPGMA) and Bayesian clustering (sNMF, K = 3) consistently resolved three regional genetic groups with varying admixture levels, consistent with a mosaic domestication model, as previously proposed for the Mediterranean basin, shaped by recurrent introductions, wild introgression, and region-specific selection. Our results show that peripheral Mediterranean germplasm harbors meaningful, regionally distinctive, substantial, non-redundant diversity not fully represented in surveys focused on climate adaptation, disease resistance breeding, and long-term genetic resource conservation. These findings challenge simplistic diffusion models and emphasize the strategic importance of geographically comprehensive sampling in grapevine conservation programs. Full article

Rootstock selection is a key component of sustainable vineyard planning, as it strongly influences vine adaptation to soil and environmental conditions. Despite its importance, this decision is often based on empirical knowledge rather than on structured, site-specific approaches. This study presents SR-Vitis, a decision-support module developed within the Vitis system, designed to support rootstock selection through a rule-based framework integrating pedological, climatic, and agronomic variables. The model translates site-specific characteristics into suitability criteria for a set of widely used European rootstocks. The system was applied to four vineyards located in two contrasting Italian winegrowing regions (Chianti Classico and Alta Murgia) to assess the coherence of the model outputs under different pedoclimatic conditions. The comparison with existing tools and current grower choices showed a general agreement in most cases, while also identifying situations where alternative rootstocks may better match site constraints. These results suggest that SR-Vitis can effectively support a more structured and transparent decision-making process. Although not intended as a predictive validation study, this work provides a first operational assessment of the model and highlights its potential as a practical tool for vineyard planning. By integrating expert knowledge and soil-based criteria into an accessible digital framework, SR-Vitis contributes to bridging the gap between empirical practices and data-supported approaches, supporting viticultural adaptation under increasing environmental variability. Full article

Berry skin color CIE parameters, pH and anthocyanidin profiling of 46 grape accessions were investigated using CIE Lab system, pH measurement and anthocyanidin profiling. CIE parameters separated the samples into three groups: yellowish-green, pinkish-red, and purplish-black, and principal component analysis confirmed clear clustering, with the first two components explaining 99.1% of the variance. After anthocyanidin analysis, cyanidin was detected in all samples, whereas trace-level pelargonidin derivatives were identified by UPLC-MS/MS. Total anthocyanidin content was insufficient to evaluate the quality of berry color, but anthocyanidin composition and relative proportions showed a stronger association with color classification. Yellowish-green berries were enriched in cyanidin, while purplish berries contained more malvidin- and cyanidin. Multivariate analysis identified cyanidin, malvidin, and peonidin derivatives as the main drivers of berry skin color variations. Skin homogenate pH ranged from 3.36 to 4.63 and it was lower in wild grape relatives. Correlation analysis indicated that pH was associated with color parameters. Species-related differences in anthocyanidin glycosylation and acylation were evident, and mono/diglucosides may have potential effects on skin color. Overall, skin color appears to depend on anthocyanidin composition, relative proportions, and pH, offering a chemical basis for grape breeding and fruit quality evaluation. Full article

The growing availability of genomic resources is changing how genetic diversity is studied in Vitis vinifera L. At the same time, it has become increasingly clear that a single reference genome cannot fully represent the complexity of a species characterised by high heterozygosity, clonal propagation and a long history of diversification. Recent grapevine pangenomes, super-pangenomes and graph-based resources have revealed forms of variation that are often overlooked in conventional reference-based analyses, including structural variants and gene presence–absence variation. Rather than providing another inventory of available datasets, this review examines how continued reliance on a single reference genome may influence the interpretation of grapevine diversity and what can be gained from a broader pangenomic perspective. Drawing on recent studies in grapevine and other crops, we discuss how these approaches are beginning to improve the representation of genetic diversity, uncover biologically relevant variation and strengthen links between genomic information and adaptive traits. We also examine the challenges that still limit their practical use, particularly the integration of genomic resources with functional studies and breeding programmes. In the end, the value of pangenomics will probably depend not only on generating additional genomic resources, but also on how effectively these can be translated into tools that support grapevine conservation, climate adaptation and varietal improvement. Full article

This study evaluates regulated deficit irrigation (IR) and post-harvest dehydration (DH) as complementary strategies to mitigate extreme thermal stress on the red grape variety Avgoustiatis during the hot 2024 vintage. Analysis of the berries reveals that while IR significantly expanded vine productivity to 2.75 kg/vine compared to 1.32 kg/vine recorded in control vines (CO), it successfully maintained berry weight (240 g). Conversely, DH induced controlled water loss, reducing berry weight to 93 g and concentrating must sugars to 27.3 ^°Brix, relative to the 23.2 ^°Brix observed in IR. Crucially, both IR and DH prevented the thermal degradation of total acidity (6.73 g/L and 7.25 g/L respectively) which caused by heat stress in CO samples (6.21 g/L). In the finished wines, both practices increased colour intensity by lowering anthocyanin extractability. However, chemical profiling clearly differentiated the treatments with DH maximized skin tannins (164.7 mg/L), yielding highly structured, astringent wines characterized by plum aromas driven by elevated nerol content (492.91 μg/L). Conversely, IR wines presented a more complex volatile profile, boosting fruity and floral notes. In conclusion, as irrigation becomes increasingly restricted by water scarcity under climate change, post-harvest dehydration offers an effective alternative for producing premium, structurally dense red wines. Full article

Vitis vinifera L. × Vitis labrusca L. cv. Black Queen (BQ) is a hybrid cultivar with oenological potential in subtropical climates, yet its sensory structure remains insufficiently systematized. This study aimed to construct an integrated sensory framework by merging two Balanced Complete Block Design (BCBD) datasets into a unified database and developing a structured descriptor reduction workflow to address multicollinearity and redundancy. The resulting “BQ Lexicon v.0” comprised nine Quantitative Descriptive Analysis (QDA) attributes and twelve check-all-that-apply (CATA) descriptors. Based on this optimized dataset, an Artificial Neural Network (ANN) model was developed to predict overall liking (OL), achieving a satisfactory performance (R²(train) = 0.70 and R²(validation) = 0.74). Three-dimensional response surface visualization further illustrated non-linear relationships as a process monitor, indicating sourness as a primary negative driver of acceptance and revealing interactive and synergistic effects between tannin, sweetness, and aroma. These findings demonstrate that integrating structured data management with machine learning can enhance sensory modeling efficiency. Ultimately, the validated BQ Lexicon v.0 and the aligned data framework establish a reliable foundation for future oenological research in Black Queen grape. This structured approach effectively resolves the challenges of integrating distributed sensory datasets, while offering practical insights for targeted winemaking strategies. Full article

Climate change is progressively altering the thermal environment of European agriculture, with direct consequences for high-value perennial crops such as olive (Olea europaea L.) and grapevine (Vitis vinifera L.). Although the Growing Degree Days (GDD) index is widely applied to characterize crop thermal requirements, no systematic evidence exists on the actual GDD values accumulated at the locations where these crops are currently grown across Europe. This study introduces a “reverse agroclimatology” approach that anchors GDD calculations exclusively to olive grove and vineyard areas identified in the Corine Land Cover (CLC) dataset for five reference years (1990, 2000, 2006, 2012, and 2018), using ERA5-Land reanalysis daily temperature data as the climatological input. For each CLC reference year, GDD was computed for olive cultivation (T_base = 7 °C, January–May) and viticulture (T_base = 10 °C, April–October) exclusively over registered cultivation pixels, and per-country means were subjected to linear regression trend analysis (p < 0.05). For olive cultivation across 11 Mediterranean countries, statistically significant positive GDD trends were detected in 7 countries, with long-term (1985–2023) country means ranging from 476.2 GDD in France to 1214.3 in Cyprus, indicating that we can revise the known GDD thresholds. The first appearance of olive cultivation in Slovenia’s 2012 CLC dataset, with a median of 546.5 GDD, provides land use-mapped evidence of a spatial displacement of cultivation boundaries. For vineyard cultivation across 22 European countries, significant positive trends were identified in 18 countries, with warming rates reaching 19.25 GDD yr⁻¹ in Turkey, 15.83 GDD yr⁻¹ in Albania, and 14.89 GDD yr⁻¹ in Bosnia and Herzegovina. Mediterranean and Balkan vineyards already exceed the classical 2000 GDD threshold of viticultural suitability across all reference years. In contrast, central and northern European registered vineyards operate below it, though their warmest sites are increasingly approaching or crossing it in the most recent periods. The cultivation-anchored GDD framework, built on openly available data and a fully reproducible R-based pipeline, provides a practical and updatable tool for monitoring the evolving thermal conditions of European olive and wine production under ongoing climate change. Full article