TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
| A | |
| A-TEEM spectroscopy | |
| Abiotic stress | |
| above- and belowground responses | |
| abscisic acid | |
| absorptive capacity | |
| adaptation | |
| Adaptation measure | |
| Adaptation to climate change | |
| aglianico | |
| Aglianico variety | |
| AGRARIAN EU project | |
| agricultural waste | |
| Agriculture | |
| agriphotovoltaic panels | |
| Agrivoltaics | |
| agrivoltaism | |
| Agroclimatic Indicators | |
| agroecology | |
| agroforestry | |
| air flow cytometer | |
| Albania | |
| Albariño | |
| alcohol content | |
| allometry | |
| alternate rowing | |
| Altitude | |
| Aluminum | |
| AMF-inoculation | |
| amino acids | |
| Anthocyanins | |
| AOC | |
| applied research | |
| Arbuscular mycorrhizal fungi | |
| Arbuscular mycorrhizal fungi (AMF) | |
| Aroma | |
| aroma compounds | |
| aroma defects | |
| aroma precursors | |
| aromatic and polyphenolic composition | |
| Aromatic profile | |
| Autochthonous cv | |
| AWARE | |
| B | |
| Balanced Entropy Index | |
| basidiomycete | |
| Benchmarking | |
| berry | |
| berry and wine quality | |
| berry composition | |
| Berry mass | |
| berry quality | |
| berry shriveling | |
| berry sugar accumulation | |
| berry sunburn | |
| Berry tissue compartmentalization | |
| bioclimatic indexes | |
| bioclimatic indices | |
| biodiversity | |
| Biogenic Amines | |
| Biological Terroir | |
| Biotipes | |
| Bordeaux | |
| Brazilian wines | |
| browning | |
| bunch density | |
| Business model innovation | |
| C | |
| Cabernet Sauvignon | |
| callus | |
| canopy shading | |
| canopy structure | |
| Carbon isotope discrimination | |
| carbon sequestration | |
| CART model | |
| CEC | |
| Chardonnay | |
| Circular economy | |
| Citizen Science | |
| Classification | |
| clay | |
| Climate | |
| climate adaptation | |
| Climate adaptation strategy | |
| climate change | |
| Climate Change Mitigation | |
| Climate Change Perception | |
| Climate monitoring | |
| climate regionalisation | |
| climate scenarios | |
| Climatic hazards | |
| clone | |
| clones | |
| clusters analysis | |
| CMIP6 | |
| co-inoculation | |
| CO2 | |
| cognac | |
| cold storage | |
| colorimetry | |
| combination | |
| Combined frost protection systems | |
| compactness indexes | |
| Compost | |
| Conegliano Valdobbiadene | |
| consumer | |
| Consumer Communication | |
| Contact Spectroradiometry | |
| controlled deficit irrigation | |
| cool climate | |
| cooperation | |
| copigmentaition | |
| correspondence analysis | |
| cover crop | |
| cover crops | |
| CPlantBox | |
| criollas varieties | |
| criteria | |
| crop load | |
| Cropping systems | |
| cultivar selection | |
| cultivars | |
| cultivation assessment | |
| Cultural heritage and identity | |
| Côte roannaise | |
| D | |
| Data-driven viticulture | |
| decision support | |
| decision support system | |
| decision Support System (DSS) | |
| deep learning | |
| defoliation | |
| demonstrators | |
| Design | |
| Digital Transformation | |
| divergent loci | |
| Diversification | |
| Diversity | |
| double pruning | |
| Douro | |
| Douro Valley | |
| Downy mildew | |
| drought | |
| drought resilience | |
| drought response | |
| drought symptoms | |
| drought tolerance | |
| dry mulching | |
| E | |
| earthworms | |
| Economic assessment | |
| ecophysiology | |
| Eddy-covariance | |
| elearning | |
| elevated CO2 | |
| elevation | |
| Energy and water footprint | |
| Enhancement of mitigation efficiency | |
| enlargement | |
| Entropy | |
| Environmental Exposures | |
| Environmental Sustainability | |
| epigenetic biomarker | |
| Erysiphe necator | |
| esca | |
| ethylene | |
| European vineyard | |
| evapotranspiration | |
| Extension services | |
| Extreme gradient boosting | |
| F | |
| fertilisation | |
| Flavonoids | |
| flavonols | |
| Flavor | |
| Fluorescence | |
| foliar application | |
| fractionation | |
| France | |
| fruit quality | |
| Fruit zone microclimate | |
| fruit-bearing cuttings | |
| functional terroir | |
| Fungi | |
| fungicides | |
| G | |
| G x E interaction | |
| gas exchange | |
| GC-MS | |
| Gene expression | |
| genetic | |
| genetic diversity | |
| Genome-wide association study (GWAS) | |
| genotype–environment interaction | |
| genotyping by sequencing | |
| Geographic Information System (GIS) | |
| geographical affiliation | |
| Geographical Indication | |
| Geographical indications | |
| geology | |
| geospatial | |
| Geospatial analysis | |
| Girdling | |
| GIS | |
| global warming | |
| Global Warming Potential | |
| Global wine terroir analysis | |
| Glycosylated aroma precursors | |
| goodness of fit | |
| grape | |
| Grape composition | |
| Grape pomace | |
| grape quality | |
| grape quality and ripeness | |
| Grape Skin | |
| grapes and wines | |
| grapevine | |
| grapevine airborne pollen | |
| grapevine components | |
| grapevine cuttings | |
| Grapevine Genetic Resources | |
| grapevine health | |
| Grapevine Model evaluation | |
| grapevine phenology | |
| grapevine phisiology | |
| Grapevine physiology | |
| grapevine rootstocks | |
| grapevine shading | |
| Grapevine varieties | |
| Grapevine Varieties Discrimination | |
| grapevines | |
| greenhouse gas emissions | |
| greenhouse gases | |
| Grenache | |
| growth | |
| H | |
| heat and water stress | |
| heat stress | |
| heatwave | |
| heatwaves | |
| Herbicide | |
| Herbicide S | |
| herbicide use | |
| heritage viticulture | |
| High vigour | |
| history | |
| Hitamine | |
| HPLC | |
| Human Factor | |
| Hybrid grape | |
| hydraulic conductivity | |
| Hyperspectral imaging | |
| I | |
| Ile de France | |
| infection risk estimation | |
| Innovation | |
| innovation tracking | |
| interannual variability | |
| International cv | |
| Intersectoral Collaboration | |
| Intravarietal diversity | |
| irrigation | |
| isotopes | |
| isotopic signature | |
| K | |
| Kaolin | |
| Kelp | |
| L | |
| label | |
| lactic acid bacteria | |
| Land-use | |
| Large Eddy Simulations (LES) | |
| leaf area | |
| leaf-to-fruit ratio | |
| Leafroll | |
| levers | |
| Light gradient | |
| Lipid Composition | |
| Litter decomposition | |
| local | |
| Local scale | |
| local varieties | |
| long-term evaluation | |
| long-term trial | |
| M | |
| Machine learning | |
| machine learning models | |
| malic acid | |
| management systems | |
| Marker-assisted selection | |
| maturity | |
| mean temperature calculation | |
| Mediterranean climate | |
| Mediterranean terroirs | |
| Metabolite profiling | |
| Metabolomics | |
| Methyl salicylate | |
| Mexican Wines | |
| Microbes | |
| microbial biodiversity | |
| Microbial ecology | |
| microbiome | |
| microbiota | |
| microclimate | |
| Micrometeorology | |
| microorganisms | |
| microsatellite | |
| microvinifications | |
| minor varieties | |
| Mitigation | |
| modeling efficiency | |
| modelling | |
| Molecular Markers | |
| morphometrics | |
| mountain | |
| multidisciplinarity | |
| must titratable acidity | |
| mycoparasitism | |
| N | |
| naringenin | |
| naringin | |
| naturalist | |
| necrosis | |
| Nermantis | |
| Net Ecosystem Exchange | |
| New genomic techniques | |
| New Jersey viticulture | |
| new winegrowing region | |
| NIR | |
| nitrogen assimilation | |
| nitrogen deficiency | |
| no green-management | |
| non-structural carbohydrates (NSCs) | |
| Normandy | |
| nursery propagation | |
| nutrient limitation | |
| Nutrients | |
| O | |
| O2⁺ | |
| oil management | |
| old vines | |
| omega | |
| On Farm Experimentation | |
| open-source | |
| organic | |
| Organic mulches | |
| osmotic adjustment | |
| osmotic potential | |
| oxygen measurements | |
| P | |
| Palomino fino | |
| particle size distribution | |
| PDO | |
| PDO Jumilla | |
| PDO PGI wine Adaptation | |
| pedology | |
| peppery aroma | |
| pesticide transfer | |
| pests | |
| PGI | |
| pH | |
| phenolic composition | |
| phenolic compounds | |
| Phenolic Content | |
| phenolic ripeness | |
| phenolic ripening | |
| phenolics | |
| Phenology | |
| phenotyping | |
| Phloem | |
| photosynthesis | |
| physicochemical characterization | |
| physiology | |
| pigment content | |
| pinot noir | |
| PIWI | |
| Plant defence | |
| Plant establishment | |
| Plant protection | |
| Plant-based sensors | |
| Planting practices | |
| Plasmopara viticola | |
| PLS | |
| polysaccharides extraction | |
| precision viticulture | |
| predawn water potential | |
| Predictive modelling | |
| pressure-volume curves | |
| primary leaf area | |
| Primary metabolites | |
| Principal Component Analysis | |
| private alleles | |
| Product identity | |
| Prosecco | |
| Prosecco Superiore DOCG | |
| Protected Designation of Origin | |
| Q | |
| qPCR | |
| quality | |
| quality attributes | |
| Quantitative trait loci (QTL) | |
| R | |
| rainfed | |
| rainout shelter | |
| Raña | |
| real-time spore monitoring | |
| reclaimed water | |
| Regenerative agriculture | |
| Regenerative leadership | |
| regional-scale model | |
| regulatory zones | |
| relative yield increase | |
| Remote sensing | |
| renewable energy | |
| resistant varieties | |
| resource efficiency | |
| RGB imaging | |
| Rhizosphere | |
| ripening | |
| risk mapping | |
| risk prediction | |
| Rive | |
| RNAseq | |
| root architecture | |
| Root phenotyping | |
| Root system | |
| root system architecture | |
| Rootstock | |
| rootstock × scion interaction | |
| S | |
| Saccharomyces cerevisiae | |
| saprotroph fungus | |
| satelite images | |
| scales imbrication | |
| Sciaccarellu | |
| SCORE-V framework | |
| selecction | |
| Self-Organization | |
| Sensor density | |
| sensory | |
| sensory analyses | |
| sensory analysis | |
| Serra Gaúcha | |
| Shading nets | |
| sheep wool | |
| Shiraz | |
| shoot vigour | |
| SIFT-MS | |
| Silica nanoparticles | |
| Simulated maceration | |
| Smartphone | |
| Smoke Taint | |
| SNP | |
| SOC | |
| Soil | |
| soil biophysics | |
| soil classification | |
| soil hydraulic properties | |
| soil management | |
| soil properties | |
| soil quality | |
| soil respiration | |
| Soil science | |
| Soil texture | |
| Soil-plant hydraulics | |
| Soil-vine Interaction | |
| Sommeliers | |
| source-sink | |
| south american varieties | |
| Space Technologies | |
| sparkling wine | |
| spatial climate mapping | |
| Spatial interpolation | |
| Spectral Classification | |
| spectroscopy | |
| SSP | |
| SSR | |
| stability | |
| Stable isotopes | |
| statistical model | |
| steep slope | |
| stem leaf water potential | |
| stem water potential | |
| STICS | |
| Stilbene synthase | |
| Stochastic Weather Generator | |
| Stomatal closure | |
| stomatal conductance | |
| Stomatal control | |
| stomatal sensitivity | |
| strengthening | |
| subsoil | |
| subtropical climate | |
| sunburn | |
| Survival rate | |
| Sustainability | |
| Sustainability Assessment | |
| Sustainability transition | |
| Sustainable Agriculture | |
| sustainable viticulture | |
| São Paulo Wine Routes | |
| T | |
| Tannat | |
| telomere length | |
| temperature | |
| temperature monitoring | |
| Tempranillo | |
| Termantis | |
| Terrain | |
| territorial | |
| territorial diagnosis | |
| territory | |
| terroir | |
| Terroir governance | |
| Terroir Science | |
| Terroir zoning | |
| Terroir-driven wines | |
| timing | |
| titratable acidity | |
| Torontel grape | |
| Touriga Nacional | |
| training system | |
| transcription factor | |
| Transition pathway | |
| Transnational Cooperation | |
| transpiration | |
| Tree-based infrastructures | |
| tree-vine-interaction | |
| trial duration | |
| trunk diseases | |
| typicity | |
| U | |
| ungrafted | |
| Uruguay | |
| UV radiation | |
| UV screens | |
| UV-C treatments | |
| V | |
| Vale do São Francisco | |
| vapour pressure deficit | |
| Varietal choice | |
| varieties | |
| variety | |
| vegetative and reproductive development | |
| vine | |
| vine water sources | |
| vine water status | |
| vineyard | |
| vineyard ecosystem | |
| Vineyard floor management | |
| Vineyard Management | |
| vineyard monitoring | |
| vineyard site | |
| Vineyards | |
| vintage effect | |
| viti-photovoltaic system | |
| viticultural heritage | |
| viticultural practices | |
| Viticultural Zoning | |
| viticulture | |
| Viticulture sustainability | |
| vitiforestry | |
| Vitis | |
| Vitis labrusca | |
| Vitis spp | |
| Vitis vinifera | |
| Vitis vinifera L | |
| Vitivoltaics | |
| volatile composition | |
| volatiles | |
| W | |
| Warm climate | |
| water balance | |
| water deficit | |
| water dynamics | |
| Water Footprint | |
| Water Footprint Network | |
| water infiltration | |
| water potential | |
| water relations | |
| water stress | |
| water use efficiency | |
| weather change | |
| weed control | |
| white rot | |
| wine | |
| Wine aroma | |
| wine composition | |
| Wine economics | |
| Wine geographical indications | |
| wine metabolomics | |
| Wine production | |
| wine quality | |
| Wine supply chain | |
| Wine sustainability | |
| winkler index | |
| Winter pruning mechanization | |
| within-vineyard variability | |
| working method | |
| Y | |
| Yield | |
| yield and quality forecast | |
| yield components | |
| Z | |
| zoning | |
| δ | |
| δ15N | |