Search results for " Study"

showing 10 items of 9094 documents

The use of soil electrical resistivity to monitor plant and soil water relationships in vineyards

2015

Abstract. Soil water availability deeply affects plant physiology. In viticulture it is considered as a major contributor to the "terroir" expression. The assessment of soil water in field conditions is a difficult task especially over large surfaces. New techniques, are therefore required to better explore variations of soil water content in space and time with low disturbance and with great precision. Electrical Resistivity Tomography (ERT) meets these requirements, for applications in plant sciences, agriculture and ecology. In this paper, possible techniques to develop models that allow the use of ERT to spatialise soil water available to plants are reviewed. An application of soil wate…

0106 biological sciencesTomographie électrique[ SDV.SA.SDS ] Life Sciences [q-bio]/Agricultural sciences/Soil studySoil ScienceSoil science[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study01 natural sciencesElectrical resistivity and conductivityWater uptakeBourgogne[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyVigneElectrical resistivity tomographylcsh:Environmental sciencesTerroirlcsh:GE1-3502. Zero hungerHydrologyViticulturebusiness.industryWater Movementslcsh:QE1-996.504 agricultural and veterinary sciences15. Life on landDisponibilité en eaulcsh:GeologyEffet terroirVitis ViniferaAgricultureSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceDéficit hydriqueViticulturebusiness010606 plant biology & botany
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Humusica 1, article 1: Essential bases – Vocabulary

2018

International audience; The Special Issue Humusica 1 corresponds to a field guide for the classification of terrestrial humus systems and forms. The present first article of the issue defines vocabulary, objects and concepts necessary for: (a) field investigation, (b) understanding the process of classification, (c) assigning ecological significance to the defined morpho-functional units, (d) discussing and exchanging scientific data about humus systems. The article starts with general considerations, as the necessity humans have to classify natural objects for sharing ideas and information on them. Then the article focuses on soil as functional element of every ecosystem. Historical and re…

0106 biological sciencesVocabularyComputer scienceProcess (engineering)media_common.quotation_subjectSoil Science[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study010603 evolutionary biology01 natural sciencesHumusHumus Humusica Humus form classification Humus system Humus vocabulary Soil classification Soil conceptSoil concept ABSTRACT[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsSoil classificationSoil conceptNatural (music)Humus vocabularymedia_common2. Zero hungerHumus form classificationTopsoilEcologyEcology04 agricultural and veterinary sciences15. Life on landAgricultural and Biological Sciences (miscellaneous)HumusField (geography)EpistemologyVariety (cybernetics)040103 agronomy & agricultureHumusica0401 agriculture forestry and fisheriesSoil horizon[SDE.BE]Environmental Sciences/Biodiversity and EcologyHumus system
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Ecophysiological Modeling of Grapevine Water Stress in Burgundy Terroirs by a Machine-Learning Approach

2016

13 pages; International audience; In a climate change scenario, successful modeling of the relationships between plant-soil-meteorology is crucial for a sustainable agricultural production, especially for perennial crops. Grapevines (Vitis vinifera L. cv Chardonnay) located in eight experimental plots (Burgundy, France) along a hillslope were monitored weekly for 3 years for leaf water potentials, both at predawn (Ψpd) and at midday (Ψstem). The water stress experienced by grapevine was modeled as a function of meteorological data (minimum and maximum temperature, rainfall) and soil characteristics (soil texture, gravel content, slope) by a gradient boosting machine. Model performance was a…

0106 biological sciences[ SDV.BV ] Life Sciences [q-bio]/Vegetal BiologySoil texture[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy[ SDV.SA.SDS ] Life Sciences [q-bio]/Agricultural sciences/Soil studyContext (language use)Plant Science[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil studylcsh:Plant culture01 natural sciencesVineyardwater stressWater balancewater balance[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/Agronomygradient boosting machine (GBM)Climate change scenarioBotany[SDV.BV]Life Sciences [q-bio]/Vegetal Biologylcsh:SB1-1110Original ResearchTerroir2. Zero hungerHydrologymachine-learninggrapevine (Vitis vinifera L.)temperature04 agricultural and veterinary sciences15. Life on landcarbon isotope discrimination δ13Cplant-soil water relationships040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceGradient boostingScale (map)carbon isotope discrimination d13Ccarbon isotopic discrimination (δ13C)010606 plant biology & botanyFrontiers in Plant Science
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Investigating candidate neuromodulatory systems underlying parasitic manipulation: concepts, limitations and prospects.

2012

Summary Studies addressing the functional basis of parasitic manipulation suggest that alteration of the neuromodulatory system is a common feature of manipulated hosts. Screening of the neuromodulatory system has so far been carried out by performing ethopharmacological analysis, biochemical quantification of neurotransmitters and neuromodulators, and/or immunocytochemistry. Here, we review the advantages and limitations of such approaches through the analysis of case studies. We further address whether the analysis of candidate neuromodulatory systems fits the current view of manipulation as being multidimensional. The benefits in combining ethopharmacology with more recent molecular tool…

0106 biological sciences[ SDV.MP.PAR ] Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologyNeuroimmunomodulationPhysiologyMultidisciplinary studyAquatic ScienceBiology010603 evolutionary biology01 natural sciencesHost-Parasite Interactions03 medical and health sciences[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsHumansParasites[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologyParasite transmissionMolecular BiologyEcology Evolution Behavior and Systematics030304 developmental biologyethopharmacologyBehavior0303 health sciences[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyneuroethologypsychoneuroimmunologyBiological evolutionBiological EvolutionserotoninInsect Sciencephenotypic engineeringAnimal Science and Zoology[SDE.BE]Environmental Sciences/Biodiversity and EcologyNeurosciencebehavioural manipulation[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Biochemical Quality of Crop Residues and Carbon and Nitrogen Mineralization Kinetics under Nonlimiting Nitrogen Conditions

2000

International audience; Statistical relationships were established between the fate of C and N from 47 types of crop residues and their biochemical characteristics during a soil incubation at 15°C. The incubations were carried out under nonlimiting N in order to differentiate the effects of biochemical characteristics of residues from those of soil N availability. Depending on the residue, the apparent mineralization of residue C after 168 d varied from 330 to 670 g kg−1 of added C. Mineralization kinetics were described using a two-compartment decomposition model that decomposes according to first-order kinetics. Amounts of C mineralized after 7 d and the decomposition rate coefficient of …

0106 biological sciences[SDE] Environmental SciencesCrop residue[SDV]Life Sciences [q-bio][SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomySoil Sciencechemistry.chemical_element[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study01 natural sciencesBotanyOrganic matterAGRONOMIENitrogen cycleChemical compositionIncubationComputingMilieux_MISCELLANEOUS2. Zero hungerchemistry.chemical_classificationfood and beverages04 agricultural and veterinary sciencesMineralization (soil science)15. Life on landNitrogen[SDV] Life Sciences [q-bio]chemistryEnvironmental chemistry[SDE]Environmental Sciences040103 agronomy & agriculture0401 agriculture forestry and fisheriesHordeum vulgare010606 plant biology & botany
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Variations in soil-water use by grapevine according to plant water status and soil physical-chemical characteristics - A 3D spatio-temporal analysis.

2016

14 pages; International audience; Understanding plant and soil-water relationships is crucial to optimise agricultural management. In this multidisciplinary work, soil geophysics and plant physiological measurements are coupled and a statistical method is proposed to visualising plant soil-water uptake in space and time. The method is applied in a vineyard context and shows differences in the use of tranpirable soil water by grapevine according to the type of soil and the time of the day (day/night).During two years the water stress experienced by a single Chardonnay/SO4 grapevine clone was monitored both at pre-dawn and midday by leaf water potentials in two field plots exclusively differe…

0106 biological sciences[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy[ SDV.SA.SDS ] Life Sciences [q-bio]/Agricultural sciences/Soil studySoil ScienceContext (language use)Plant ScienceSoil water uptake[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil studyTerroir01 natural sciencesVineyardPedotransfer function[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/AgronomyElectrical resistivity tomography (ERT)Plant water stressElectrical resistivity tomographyTerroir2. Zero hungerWater stressVitis vinifera L. (grapevine)04 agricultural and veterinary sciences15. Life on landRoots6. Clean waterAgronomySoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceScale (map)Agronomy and Crop Science010606 plant biology & botany
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Improving scientific rigour in conservation evaluations and a plea deal for transparency on potential biases

2020

Abstract The delivery of rigorous and unbiased evidence on the effects of interventions lay at the heart of the scientific method. Here we examine scientific papers evaluating agri‐environment schemes, the principal instrument to mitigate farmland biodiversity declines worldwide. Despite previous warnings about rudimentary study designs in this field, we found that the majority of studies published between 2008 and 2017 still lack robust study designs to strictly evaluate intervention effects. Potential sources of bias that arise from the correlative nature are rarely mentioned, and results are still promoted by using a causal language. This lack of robust study designs likely results from …

0106 biological sciencesagri‐environment schemelcsh:QH1-199.5Psychological interventionIntervention effectlcsh:General. Including nature conservation geographical distribution010603 evolutionary biology01 natural sciencesRigourPleaorganic farmingbefore after control impactVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470Ecology Evolution Behavior and SystematicsNature and Landscape ConservationEcology010604 marine biology & hydrobiologyClinical study designevaluation of conservation interventionsPrincipal (computer security)biodiversity | causal languageRisk analysis (engineering)meta‐analysisMeta-analysisTransparency (graphic)PsychologyConservation Letters
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Modelling vertical and lateral weed seed movements during mouldboard ploughing with a skim-coulter

2001

Abstract The vertical distribution of weed seeds in soil is crucial because seedling emergence varies with seed depth, whereas lateral soil displacement during mouldboard ploughing contributes to weed dispersal within the tilled field. In order to model vertical and lateral seed displacements during ploughing, an existing model describing soil particle movements for different ploughing characteristics (depth and width) and soil structures was adapted to integrate the effect of a skim-coulter. This model was tested in two field trials, in Northern France, using coloured plastic beads to imitate weed seeds. The trial in Dijon was set up on an eutric cambisol and comprised both compacted and u…

0106 biological sciencesbusiness.product_categorySeed dispersalSoil ScienceSoil science[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study01 natural sciencesPlough[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil studyComputingMilieux_MISCELLANEOUSEarth-Surface ProcessesMathematicsCambisolAgroforestry04 agricultural and veterinary sciences15. Life on landAPPLICATION DES ORDINATEURSWeed controlTillageSoil structureSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesWeedbusinessAgronomy and Crop Science010606 plant biology & botany
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Interaction between Medicago truncatula and Pseudomonas fluorescens: evaluation of costs and benefits across an elevated atmospheric CO2.

2012

10 pages; International audience; Soil microorganisms play a key role in both plants nutrition and health. Their relation with plant varies from mutualism to parasitism, according to the balance of costs and benefits for the two partners of the interaction. These interactions involved the liberation of plant organic compounds via rhizodeposition. Modification of atmospheric CO2 concentration may affect rhizodeposition and as a consequence trophic interactions that bind plants and microorganisms. Positive effect of elevated CO2 on plants are rather well known but consequences for micoorganisms and their interactions with plants are still poorly understood. A gnotobiotic system has been devel…

0106 biological scienceslcsh:MedicineplantPlant Science01 natural sciencesPlant RootsPlant reproductionnitrogenPlant Microbiologyterrestrial ecosystem[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/Symbiosislcsh:ScienceSoil Microbiology2. Zero hungerMutualism (biology)Abiotic componentPlant Growth and Development0303 health sciencesRhizospheredynamicMultidisciplinaryresponsebiologyEcologyfood and beveragesMedicago truncatulacarbon-dioxide;terrestrial ecosystem;development;dynamic;nitrogen;plant;soil;rhizosphere;response;Pseudomonas fluorescensSeedsSoil microbiologyEcosystem FunctioningResearch Article[ SDV.SA.SDS ] Life Sciences [q-bio]/Agricultural sciences/Soil studyPseudomonas fluorescensFlowers[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil studycarbon-dioxidePseudomonas fluorescensMicrobiologyEcosystemsMicrobial Ecologysoil03 medical and health sciencesSymbiosisPlant-Environment InteractionsBotanyMedicago truncatulaSymbiosisBiologydevelopment030304 developmental biology[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyAnalysis of VarianceAtmospherePlant Ecologylcsh:RfungiComputational Biology15. Life on landCarbon Dioxidebiology.organism_classificationPlant LeavesAgronomylcsh:Q[SDE.BE]Environmental Sciences/Biodiversity and EcologyrhizosphereEcosystem Modeling010606 plant biology & botany[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Comment on “Global distribution of earthworm diversity”

2021

Phillips et al . (Reports, 25 October 2019, p. 480) incorrectly conclude that tropical earthworm communities are less diverse and abundant than temperate communities. This result is an artifact generated by some low-quality datasets, lower sampling intensity in the tropics, different patterns in richness-area relationships, the occurrence of invasive species in managed soils, and a focus on local rather than regional richness.

0106 biological sciencesmedia_common.quotation_subject[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study010603 evolutionary biology01 natural sciencesInvasive speciesGlobal distributionSoilTemperate climateAnimalsOligochaetamedia_commonMultidisciplinarybiologyEcologyEarthwormTropicsSampling (statistics)04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationGeographyGlobal distributionEarthworm040103 agronomy & agriculture0401 agriculture forestry and fisheriesSoilsSpecies richnessDiversity (politics)
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