Search results for "Geta"

showing 10 items of 3789 documents

Inhibition of succinate oxidation by the herbicide UKJ72J

1985

Abstract The inhibitory activity of the herbicide UKJ72J on succinate oxidation in mitochondria from various plant species was studied. In monocotyledons (Gramineae: wheat, oat, maize; Liliaceae: onion, leek) succinate oxidation was affected only at high concentrations. Among dicotyledons widely differing sensitivities were found: in Solanaceae (tomato, potato, tobacco), Leguminosae (mung bean, soybean) and Compositae (sunflower) I 50 concentrations for UKJ72J inhibition were below 55 μM. In Cruciferae (turnip, cauliflowers Chenopodiaceae (lambsquarter, beetroot) and Compositae (endive) I 50 were between 100 and 250 μM, whereas in Rosaceae (apple, pear) and Umbelliferae (carrot, fennel) I 5…

0303 health sciencesPEARbiology030306 microbiologyLiliaceaeRosaceaePlant ScienceGeneral MedicineHorticulturebiology.organism_classificationBiochemistrySunflowerfood.food[SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy03 medical and health sciencesfoodBotanyLambsquartersPoaceaeChenopodiaceaeMolecular BiologySolanaceaeComputingMilieux_MISCELLANEOUS[SDV.BV.PEP] Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy030304 developmental biology
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Role of biological control agents and physical treatments in maintaining the quality of fresh and minimally-processed fruit and vegetables

2019

International audience; Fruit and vegetables are an important part of human diets and provide multiple health benefits. However, due to the short shelf-life of fresh and minimally-processed fruit and vegetables, significant losses occur throughout the food distribution chain. Shelf-life extension requires preserving both the quality and safety of food products. The quality of fruit and vegetables, either fresh or fresh-cut, depends on many factors and can be determined by analytical or sensory evaluation methods. Among the various technologies used to maintain the quality and increase shelf-life of fresh and minimally-processed fruit and vegetables, biological control is a promising approac…

030309 nutrition & dieteticsmedia_common.quotation_subject[SDV]Life Sciences [q-bio]Biological pest controlHealth benefitsBiologyIndustrial and Manufacturing Engineering03 medical and health sciences0404 agricultural biotechnologyFood distributionFood PreservationEvaluation methodsVegetablesmicrobiotaHumansQuality (business)media_common2. Zero hunger0303 health sciencesbusiness.industryfresh-cutfood and beveragesBiocontrol04 agricultural and veterinary sciencesGeneral MedicineBiopreservation040401 food scienceBiotechnologyBiological Control AgentsFood productsFruitPostharvestpost-harvest decaybusinesscompetitionFood Sciencebiopreservation
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SOILS AND PLANTS IN AN ANTHROPOGENIC DUMP OF THE KOKDZHON PHOSPHORITE MINE (KAZAKHSTAN)

2017

Soil development is a crucial aspect in the process of mine spoil restoration and is also critical for the establishment of the vegetation. In this short paper, we present the features of mine proto-soils (i.e. soils at the early stage of development) and the natural vegetation species colonizing mine sites in a dry arid environment of Kazakhstan characterized by surface disturbance due to mine activity to access phosphorite deposit. These disturbed soils showed morphological features very different from each other (particularly horizons depth and sequence), even if the main chemical features were quite homogeneous. This is reasonably linked to the features of the Human Transported Material…

04 agricultural and veterinary sciences010501 environmental sciences01 natural sciencescomplex mixturesmine soils; soil development; natural vegetation; plant biomassnatural vegetationsoil developmentmine soillcsh:Environmental pollutionSettore AGR/14 - Pedologialcsh:TD172-193.5040103 agronomy & agriculture0401 agriculture forestry and fisheriesmine soilsplant biomass0105 earth and related environmental sciences
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Evaluation of geomorphometric characteristics and soil properties after a wildfire using Sentinel-2 MSI imagery for future fire-safe forest

2021

Abstract Understanding spatiotemporal geomorphological and pedological changes as a consequence of wildfires can allow stakeholders, land planners, and policymakers to design efficient fire safety-based afforestation and restoration programs of forest lands. The use of remote sensing techniques is a key tool to achieve this goal. The suitable combination of Sentinel-2 MSI data for mapping of different spectral indices related to burn severity and their relationship with other morphometric and soil properties can contribute to a better understanding of the impact of fire, and this is relevant in regions where is still scarce fire-related research such as Turkey. In this investigation, the us…

040101 forestryIndex (economics)Normalized burn ratioGeneral Physics and Astronomy020101 civil engineeringTerrain04 agricultural and veterinary sciences02 engineering and technologyGeneral ChemistryBuilding and ConstructionNormalized Difference Vegetation Index0201 civil engineering0401 agriculture forestry and fisheriesAfforestationEnvironmental scienceGeneral Materials ScienceSoil propertiesPhysical geographySafety Risk Reliability and QualityRelevant informationStream powerFire Safety Journal
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Adsorption et desorption de la terbutryne par une montmorillonite-Ca et des acides humiques seuls ou en melanges

1977

Resume: L' effet du pH sur l'adsorption de la terbutryne par des acides humiques, une montmorillonite-Ca ou leurs melanges montre une certaine similitude de comportement entre ces derniers et l'argile seule. Au voisinage de la neutralite, seuls les acides humiques adsorbent la terbutryne. En milieu acide, les isothermes d'adsorption de la terbutryne par les acides humiques et la montmorillonite sont respectivement de type L et S et traduisent une affinite adsorbat-adsorbant differente; les isothermes d'adsorption correspondant aux melanges ont une forme differente et font apparaitre un effet de synergie, en particulier dans le cas des melanges pauvres en acides humiques. La dsorption saccom…

040103 agronomy & agriculture0401 agriculture forestry and fisheries[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biology04 agricultural and veterinary sciencesPlant Science010501 environmental sciences01 natural sciencesAgronomy and Crop ScienceEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences
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Compensation of Oxygen Transmittance Effects for Proximal Sensing Retrieval of Canopy–Leaving Sun–Induced Chlorophyll Fluorescence

2018

Estimates of Sun–Induced vegetation chlorophyll Fluorescence (SIF) using remote sensing techniques are commonly determined by exploiting solar and/or telluric absorption features. When SIF is retrieved in the strong oxygen (O 2 ) absorption features, atmospheric effects must always be compensated. Whereas correction of atmospheric effects is a standard airborne or satellite data processing step, there is no consensus regarding whether it is required for SIF proximal–sensing measurements nor what is the best strategy to be followed. Thus, by using simulated data, this work provides a comprehensive analysis about how atmospheric effects impact SIF estimations on proximal sensing, regarding: (…

1171 GeosciencesFLUXspectral fitting method (SFM)AIRBORNE010504 meteorology & atmospheric sciencesScience0211 other engineering and technologiesFlux02 engineering and technologyfraunhofer line discriminator (FLD)Surface pressure01 natural sciencesO2 transmittanceAtmospheric radiative transfer codesatmospheric pressureFIELD SPECTROSCOPYTransmittanceAstrophysics::Solar and Stellar AstrophysicsSPACESpectral resolutionAbsorption (electromagnetic radiation)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingproximal sensing4112 Forestrysun-induced chlorophyll fluorescence (SIF)Atmospheric pressureSTRESS DETECTIONPHOTOSYNTHESISQAtmospheric correctionO-2 transmittanceair temperatureREFLECTANCEsun–induced chlorophyll fluorescence (SIF)Physics::Space Physicssun–induced chlorophyll fluorescence (SIF); proximal sensing; O<sub>2</sub> transmittance; fraunhofer line discriminator (FLD); spectral fitting method (SFM); air temperature; atmospheric pressureLUMINESCENCEGeneral Earth and Planetary SciencesEnvironmental scienceABSORPTION-BANDSAstrophysics::Earth and Planetary AstrophysicsVEGETATIONRemote Sensing
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New national and regional Annex I Habitat records: from #45 to #59

2022

New Italian data on the distribution of Annex I Habitats are reported in this contribution. Specifically, 8 new occurrences in Natura 2000 sites are presented and 27 new cells are added in the EEA 10 km × 10 km reference grid. The new data refer to the Italian administrative regions of Apulia, Campania, Calabria, Lazio, Tuscany, Umbria, Sardinia, and Sicily.

121091AA*Ecology91F0ForestryPlant ScienceConservation315031206510313095402270*6420vegetation92/43/EEC Directive91E0*Conservation vegetation 1210 2270* 3120 3130 3150 3170* 6420 6510 91AA* 91E0* 91F0 92/43/EEC Directive 95403170*Ecology Evolution Behavior and Systematics
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Comparison between SMOS Vegetation Optical Depth products and MODIS vegetation indices over crop zones of the USA

2014

The Soil Moisture and Ocean Salinity (SMOS) mission provides multi-angular, dual-polarised brightness temperatures at 1.4 GHz, from which global soil moisture and vegetation optical depth (tau) products are retrieved. This paper presents a study of SMOS' tau product in 2010 and 2011 for crop zones of the USA. Retrieved tau values for 504 crop nodes were compared to optical/IR vegetation indices from the MODES (Moderate Resolution Imaging Spectroradiometer) satellite sensor, including the Normalised Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVE), Leaf Area Index (LAI), and a Normalised Difference Water Index (NOW!) product. tau values were observed to increase during the…

2. Zero hunger010504 meteorology & atmospheric sciences0211 other engineering and technologiesSoil ScienceGrowing seasonGeology02 engineering and technologyVegetationEnhanced vegetation index01 natural sciencesNormalized Difference Vegetation Indexvegetation optical depthLinear regressionEnvironmental scienceL-band radiometryModerate-resolution imaging spectroradiometerComputers in Earth SciencesLeaf area indexoptical vegetation indices[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingWater contentSMOS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Towards Quantifying Non-Photosynthetic Vegetation for Agriculture Using Spaceborne Imaging Spectroscopy

2021

Non-photosynthetic vegetation (NPV) has been identified as priority variable in the context of new spaceborne imaging spectroscopy missions. In this study we provide a first attempt to quantify NPV biomass from these unprecedented data streams to be provided by multiple recently launched or planned instruments. A hybrid workflow is proposed including Gaussian process regression (GPR) trained over radiative transfer model (RTM) simulations and applying active learning strategies. A soybean field data set including two dates with NPV measurements on yellow and senescent (brown) plant organs was used for model validation, resulting in relative errors of 13.4%. This prototype retrieval model wa…

2. Zero hunger010504 meteorology & atmospheric sciencesData stream mining0211 other engineering and technologiesEnMAPHyperspectral imagingContext (language use)PRISMA02 engineering and technologyVegetationVegetation functional trait01 natural sciencesLigninImaging spectroscopyAtmospheric radiative transfer codesWorkflowHybrid approacheCHIMEKrigingEnvironmental scienceCelluloseGaussian process regression021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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Crop Phenology Retrieval Through Gaussian Process Regression

2021

Monitoring crop phenology significantly assists agricultural managing practices and plays an important role in crop yield predictions. Multi-temporal satellite-based observations allow analyzing vegetation seasonal dynamics over large areas by using vegetation indices or deriving biophysical variables. This study presents a framework for automatic corn phenology characterization based on high spatial and temporal resolution time series. By using the Difference Vegetation Index (DVI) estimated from Sentinel-2 data over Iowa (US), independent phenological models were optimized using Gaussian Processes regression. Their respective performances were assessed based on simulated phenological indi…

2. Zero hunger010504 meteorology & atmospheric sciencesMean squared errorPhenology0211 other engineering and technologies02 engineering and technologyVegetation15. Life on land01 natural sciencesRegressionsymbols.namesakeKrigingTemporal resolutionStatisticssymbolsTime seriesGaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematics2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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