Search results for "AOS"

showing 10 items of 330 documents

La gestion des betteraves adventices résistantes à un herbicide: une approche par simulation

2007

National audience; Les variétés de betteraves sucrières génétiquement modifiées (GM) résistantes à un herbicide sont, a priori, intéressantes dans des champs fortement infestés par la betterave adventice. Cependant, la montée à fleurs de ces betteraves GM peut entraîner l’apparition d’individus résistants, via la dispersion de pollen. Nous avons développé et utilisé le modèle GENESYS-Betterave pour simuler, à l’échelle d’une petite région agricole, l’impact des pratiques culturales sur la dispersion du transgène. Il permet d'identifier des stratégies pour contrôler les adventices et limiter l'apparition de populations résistantes en zone de production de betterave sucrière. L’utilisation de…

[SDE] Environmental Scienceshttp://aims.fao.org/aos/agrovoc/c_24242http://aims.fao.org/aos/agrovoc/c_28744[SDV]Life Sciences [q-bio]Évaluation du risquehttp://aims.fao.org/aos/agrovoc/c_5728H60 - Mauvaises herbes et désherbageFlux de gènesPollution par l'agriculture[SHS]Humanities and Social SciencesMéthode de luttehttp://aims.fao.org/aos/agrovoc/c_33990http://aims.fao.org/aos/agrovoc/c_34285http://aims.fao.org/aos/agrovoc/c_37331http://aims.fao.org/aos/agrovoc/c_2018Variétéhttp://aims.fao.org/aos/agrovoc/c_3566http://aims.fao.org/aos/agrovoc/c_8157http://aims.fao.org/aos/agrovoc/c_37932Résistance aux pesticidesSaccharum officinarumU10 - Informatique mathématiques et statistiquesExpérimentation au champhttp://aims.fao.org/aos/agrovoc/c_6727Modèle de simulationhttp://aims.fao.org/aos/agrovoc/c_25427[SDV] Life Sciences [q-bio]Pratique culturalehttp://aims.fao.org/aos/agrovoc/c_8347Organisme génétiquement modifié[SDE]Environmental SciencesSystème de culture[SHS] Humanities and Social SciencesHerbicidehttp://aims.fao.org/aos/agrovoc/c_1971P02 - PollutionMauvaise herbe
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Détection hypothalamique de l’hyperglycémie : rôle de la dynamique mitochondriale dans la signalisation par les espèces actives de l’oxygène

2011

[SDV.AEN] Life Sciences [q-bio]/Food and Nutritionenergetic homeostasis ; hypothalamus ; glucose sensing ; mitochondrial dynamic ; reactive oxygen species (mros)[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionhoméostasie énergétique ; hypothalamus ; détection du glucose ; dynamique mitochondriale ; espèce active de l'oxygène mitochondriale (meaos)
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Modeling small‐scale cassava starch extraction. Simulation of the reduction of water consumption through a recycling process

2010

International audience; The purpose of this study was to model the extraction unit operation of the cassava starch manufacturing process and to propose a realistic recycling simulation in order to reduce the volumes of effluents. The model was developed from reactors which are commonly used for cassava starch extraction at a household scale in Vietnam. The reactors were tested using inflow starch as a marker at the beginning of the batch process. The experimental residence time distribution (RTDexp) was calculated by the outflow of the starch concentration. Using Matlab®, the RTDexp was compared to the theoretical residence time distribution (RTDth). The dynamic model obtained was built up …

[SDV.BIO]Life Sciences [q-bio]/BiotechnologyManihot esculentaStarch[SDV]Life Sciences [q-bio]BioengineeringTitratable acid02 engineering and technologyApplied Microbiology and BiotechnologyBiochemistry12. Responsible consumptionchemistry.chemical_compound0404 agricultural biotechnologyQ02 - Traitement et conservation des produits alimentairesDry matter[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineeringhttp://aims.fao.org/aos/agrovoc/c_4579Effluent[ SDV ] Life Sciences [q-bio]Extraction (chemistry)food and beverages[ SDV.BIO ] Life Sciences [q-bio]/Biotechnology[ SPI.GPROC ] Engineering Sciences [physics]/Chemical and Process Engineering04 agricultural and veterinary sciences021001 nanoscience & nanotechnologyPulp and paper industryResidence time distribution040401 food scienceUnit operation6. Clean waterhttp://aims.fao.org/aos/agrovoc/c_8227chemistryEnvironmental science0210 nano-technologyWater use
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Typology of exogenous organic matters based on chemical and biochemical composition to predict potential nitrogen mineralization

2010

Our aim was to develop a typology predicting potential N availability of exogenous organic matters (EOMs) in soil based on their chemical characteristics. A database of 273 EOMs was constructed including analytical data of biochemical fractionation, organic C and N, and results of N mineralization during incubation of soil–EOM mixtures in controlled conditions. Multiple factor analysis and hierarchical classification were performed to gather EOMs with similar composition and N mineralization behavior. A typology was then defined using composition criteria to predict potential N mineralization. Six classes of EOM potential N mineralization in soil were defined, from high potential N minerali…

[SDV.BIO]Life Sciences [q-bio]/Biotechnologygenetic structures010501 environmental sciences01 natural sciencesMinéralisationBiochemical compositionOrganic ChemicalsWaste Management and DisposalHigh potentialhttp://aims.fao.org/aos/agrovoc/c_35657chemistry.chemical_classificationMineralsChemistry04 agricultural and veterinary sciencesGeneral MedicineComposition chimiqueClassificationhierarchical classificationDisponibilité d'élément nutritifCycle de l'azoteEnvironmental chemistryhttp://aims.fao.org/aos/agrovoc/c_5193http://aims.fao.org/aos/agrovoc/c_1794AlgorithmsP33 - Chimie et physique du solBiochemical fractionationEnvironmental EngineeringNitrogenhttp://aims.fao.org/aos/agrovoc/c_7170Mineralogybiochemical fractionationBioengineeringhttp://aims.fao.org/aos/agrovoc/c_27938FractionationTeneur en azoten mineralizationMatière organique du solhttp://aims.fao.org/aos/agrovoc/c_5268Fertilité du solMultiple factor analysisOrganic matterComputer SimulationNitrogen cycle0105 earth and related environmental sciencesRenewable Energy Sustainability and the EnvironmentP35 - Fertilité du sol[ SDV.BIO ] Life Sciences [q-bio]/BiotechnologyMineralization (soil science)eye diseasesAmendement organiqueModels Chemical040103 agronomy & agriculture0401 agriculture forestry and fisheriessense organsexogenous organic mattertypologyhttp://aims.fao.org/aos/agrovoc/c_12965http://aims.fao.org/aos/agrovoc/c_1653http://aims.fao.org/aos/agrovoc/c_15999F04 - Fertilisation
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Active oxygen species production in tobacco cells elicited by cryptogein

1997

International audience

[SDV.EE]Life Sciences [q-bio]/Ecology environment[SDV.EE] Life Sciences [q-bio]/Ecology environmentCULTURE DE CELLULEAOSComputingMilieux_MISCELLANEOUS
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Cropping system dynamics, climate variability, and seed losses among East African smallholder farmers: a retrospective survey.

2014

Abstract Climate variability directly affects traditional low input and rain-fed farming systems, but few studies have paid attention retrospectively to the cropping system’s ability to mitigate climate risk. This study analyzes the impacts of rainfall variability on farmers’ seed variety losses over time, considering changes in smallholder farming systems. The cropping system dynamics, in favoring maize at the expense of sorghum and pearl millet, have induced an increasing risk of seed loss during drought. Combining ecological anthropology and climatology, a retrospective survey asking farmers about the period 1961–2006 was carried out at three altitudinal levels (750, 950, and 1100 m) on …

[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesAtmospheric Sciencehttp://aims.fao.org/aos/agrovoc/c_1969F08 - Systèmes et modes de cultureFacteur climatiqueF30 - Génétique et amélioration des plantesCropping systemPennisetum glaucumhttp://aims.fao.org/aos/agrovoc/c_8157[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciencesComputingMilieux_MISCELLANEOUS2. Zero hungerGlobal and Planetary ChangebiologyEcologyAgroforestryAgriculturehttp://aims.fao.org/aos/agrovoc/c_6927Sorghum bicolor[ SDE.MCG ] Environmental Sciences/Global ChangesGeographyhttp://aims.fao.org/aos/agrovoc/c_6523http://aims.fao.org/aos/agrovoc/c_8504http://aims.fao.org/aos/agrovoc/c_13199[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatologyhttp://aims.fao.org/aos/agrovoc/c_6161[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyP40 - Météorologie et climatologiehttp://aims.fao.org/aos/agrovoc/c_29554[SDE.MCG]Environmental Sciences/Global ChangesZea maysSocietal impactsPetite exploitation agricoleSécheressehttp://aims.fao.org/aos/agrovoc/c_7247Retrospective surveyConservation des ressourceshttp://aims.fao.org/aos/agrovoc/c_2391F03 - Production et traitement des semenceshttp://aims.fao.org/aos/agrovoc/c_1666PrecipitationVariétéClimate variabilitySemencePerte de récolteChangement climatiquePrécipitationbusiness.industryClimate riskLow inputSorghumbiology.organism_classification[SDE.ES]Environmental Sciences/Environmental and SocietyIncreasing riskhttp://aims.fao.org/aos/agrovoc/c_408613. Climate actionAgricultureAfricaSystème de culturehttp://aims.fao.org/aos/agrovoc/c_1971businessSocial Sciences (miscellaneous)http://aims.fao.org/aos/agrovoc/c_7113
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Résumé des recherches sur les bioagresseurs du riz pluvial

2009

La recherche a été menée sur plusieurs fronts ces dernières campagnes pour la lutte durable contre les bioagresseurs du riz pluvial. Elle s'est orientée vers l'exploitation de la biodiversité des plantes et la recherche de systèmes de culture pour gérer les " vers blancs " ou " scarabées noirs " (Coleoptera, Scarabaeidae), les foreurs de tiges, la pyriculariose et le striga. Les résultats des essais réalisés avec le projet BVlac sur l'utilisation du champignon entomopathogène Metarhizium anisopliae ainsi que les résultats des essais menés avec l'ONG Tafa sur la lutte contre le striga dans différents systèmes de culture seront présentés par ailleurs. Nous rapporterons ici les recherchés mené…

[SDV.SA]Life Sciences [q-bio]/Agricultural scienceshttp://aims.fao.org/aos/agrovoc/c_5741[SDV.SA] Life Sciences [q-bio]/Agricultural scienceshttp://aims.fao.org/aos/agrovoc/c_5438Riz pluvialhttp://aims.fao.org/aos/agrovoc/c_8076Oryza sativa[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciencesH10 - Ravageurs des plantesOrganisme nuisiblehttp://aims.fao.org/aos/agrovoc/c_4510ComputingMilieux_MISCELLANEOUS
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Origin of AOS production in tobacco cells elicited by cryptogein

2000

National audience

[SDV] Life Sciences [q-bio][SDV]Life Sciences [q-bio]AOSComputingMilieux_MISCELLANEOUS
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Geostatistical computing of acoustic maps in the presence of barriers

2009

Acoustic maps are the main diagnostic tools used by authorities for addressing the growing problem of urban acoustic contamination. Geostatistics models phenomena with spatial variation, but restricted to homogeneous prediction regions. The presence of barriers such as buildings introduces discontinuities in prediction areas. In this paper we investigate how to incorporate information of a geographical nature into the process of geostatistical prediction. In addition, we study the use of a Cost-Based distance to quantify the correlation between locations.

acoustic mapsComputer sciencehttp://aims.fao.org/aos/agrovoc/c_8085non_euclidean geostatisticsClassification of discontinuities010502 geochemistry & geophysicsDiagnostic toolscomputer.software_genre01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_35131acousticcomputational methods010104 statistics & probabilitySystème d'information géographique11. Sustainability[STAT.CO]Statistics [stat]/Computation [stat.CO]http://aims.fao.org/aos/agrovoc/c_98[STAT.AP]Statistics [stat]/Applications [stat.AP]mapshttp://aims.fao.org/aos/agrovoc/c_49911Propriété acoustiquetechnique de prévisionhttp://aims.fao.org/aos/agrovoc/c_ded17449B10 - GéographieComputer Science Applicationscost-Based distanceHomogeneousModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_7251Data miningGéostatistiques[STAT.ME]Statistics [stat]/Methodology [stat.ME]Zone urbaineSon (acoustique)Process (engineering)Geostatisticscost_surfacegiscomputinghttp://aims.fao.org/aos/agrovoc/c_3041Modelling and Simulationacoustiquegeostatistics0101 mathematics0105 earth and related environmental sciencesbusiness.industry[SDE.ES]Environmental Sciences/Environmental and SocietySpatial variabilityArtificial intelligenceU30 - Méthodes de recherchebusinesscomputerMathematical and Computer Modelling
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α-Aminophosphonates, Phosphinates, and Phosphine Oxides as Extraction and Precipitation Agents for Rare Earth Metals, Thorium, and Uranium : A Review

2022

α-Aminophosphonates, -phosphinates, and -phosphine oxides are a group of organophosphorus compounds that were investigated as extraction agents for rare earth (RE) metals and actinoids for the first time in the 1960s. However, more systematic investigations of their extraction properties towards REs and actinoids were not started until the 2010s. Indeed, recent studies have shown that these α-amino-functionalized compounds can outperform the commercial organophosphorus extraction agents in RE separations. They have also proven to be very efficient extraction and precipitation agents for recovering Th and U from RE concentrates. These actinoids coexist with REs in some of the commercially im…

actinoidssaostusseparationα-aminophosphinatesrare earth elementsprecipitationharvinaiset maametallitrecoveryuuttoerotusmenetelmätα-aminophosphine oxidesextractionfosforiα-aminophosphonates
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