Search results for "Tp"

showing 10 items of 4688 documents

Vegetation structure and greenness in Central Africa from Modis multi-temporal data.

2013

African forests within the Congo Basin are generally mapped at regional scale as broad-leaved evergreen forests, with a main distinction between terra-firme and swamp forests types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organisation and theirs relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28568Time Factors010504 meteorology & atmospheric sciencesDatabases FactualRainEcological Parameter Monitoringhttp://aims.fao.org/aos/agrovoc/c_900018001 natural sciencesTrees[ SDE ] Environmental Sciencesremote sensinghttp://aims.fao.org/aos/agrovoc/c_3062K01 - Foresterie - Considérations généralesDynamique des populationsForêt tropicale humidehttp://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_29008geography.geographical_feature_categoryCentral AfricaEcologyInventaire forestierVegetationArticlesClassificationSpatial heterogeneity[ SDE.MCG ] Environmental Sciences/Global ChangesDeciduoushttp://aims.fao.org/aos/agrovoc/c_7976CongoP31 - Levés et cartographie des solsForêt[SDE]Environmental SciencesSeasonshttp://aims.fao.org/aos/agrovoc/c_1432General Agricultural and Biological Scienceshttp://aims.fao.org/aos/agrovoc/c_34911Research ArticleF40 - Écologie végétaleTélédétectionClimate Change[SDE.MCG]Environmental Sciences/Global ChangesSpectroscopie infrarougeContext (language use)69Typologie010603 evolutionary biologySwampGeneral Biochemistry Genetics and Molecular BiologyCarbon Cycle[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentHumansAfrica Centralhttp://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_1344http://aims.fao.org/aos/agrovoc/c_8176[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmenthttp://aims.fao.org/aos/agrovoc/c_6111Ecosystem0105 earth and related environmental sciencesChangement climatiquegeographyCartographiehttp://aims.fao.org/aos/agrovoc/c_24174Enhanced vegetation index15. Life on landEvergreenVégétationStructure du peuplement13. Climate actionCouvert forestierPhysical geographyU30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_1653tropical rainforestTropical rainforest
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Fishery-dependent and -independent data lead to consistent estimations of essential habitats

2016

AbstractSpecies mapping is an essential tool for conservation programmes as it provides clear pictures of the distribution of marine resources. However, in fishery ecology, the amount of objective scientific information is limited and data may not always be directly comparable. Information about the distribution of marine species can be derived from two main sources: fishery-independent data (scientific surveys at sea) and fishery-dependent data (collection and sampling by observers in commercial vessels). The aim of this paper is to compare whether these two different sources produce similar, complementary, or different results. We compare them in the specific context of identifying the Es…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Biodiversité et Ecologiehabitatmodélisation spatialehttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_38127Scyliorhinus caniculamodèle hiérarchiqueSpatial statisticsEcologymodèle de distributionSampling (statistics)Contrast (statistics)Cross-validationModélisation et simulationGeographyHabitatGestion des pêchesModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117survey designMarine conservationSpecies Distribution ModelsEcology (disciplines)Bayesian probabilityEtmopterus spinaxenquête statistiqueDonnée sur les pêchesmodèle spatiotemporelSede Central IEOContext (language use)Aquatic ScienceDistribution des populationsBayesian hierarchical models010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026elasmobranchsBiodiversity and Ecologyélasmobrancheétude comparativeBayesian hierarchical models;Cross-validation;Species Distribution Models;Spatial statistics;INLA;elasmobranchs ; survey designINLA14. Life underwaterspecies distribution modelsEcology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_6113collecte des donnéesÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_29788http://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologyGestion et conservation des pêchescross validation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationmodèle bayésienFisheryM01 - Pêche et aquaculture - Considérations généraleshttp://aims.fao.org/aos/agrovoc/c_2a75d27eThéorie bayésienneM40 - Écologie aquatiqueSpatial ecologyhttp://aims.fao.org/aos/agrovoc/c_2942[SDE.BE]Environmental Sciences/Biodiversity and Ecologyvalidation croiséeElasmobranchii
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Modelling sensitive elasmobranchs habitat

2013

Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vulnerable to fishing pressure. Their removal could affect the structure and function of marine ecosystems, inducing changes in trophic interactions at the community level due to the selective elimination of predators or prey species, competitors and species replacement. In this study Bayesian hierarchical spatial models are used to map the sensitive habitats of the three most caught elasmobranch spe…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Etmopterus spinaxhabitatAquatic ScienceDistribution des populationshttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus010603 evolutionary biology01 natural sciencesElasmobranch habitatPredationMediterranean seahttp://aims.fao.org/aos/agrovoc/c_38127http://aims.fao.org/aos/agrovoc/c_3041Scyliorhinus caniculaMediterranean SeaVulnerable speciesMarine ecosystem14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Trophic levelhttp://aims.fao.org/aos/agrovoc/c_6113biologyEcologyU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyScyliorhinus caniculabiology.organism_classificationBiologie marinetechnique de prévisionBayesian hierarchical spatial modelSpecies distribution modelingFisheryHabitatThéorie bayésienneGaleus melastomusM40 - Écologie aquatiquehttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117Elasmobranchii
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GeneSys-Beet: A model of the effects of cropping systems on gene flow between sugar beet and weed beet

2008

A weedy form of the genus Beta, i.e. Beta vulgaris ssp. vulgaris (hence ''weed beet'') frequently found in sugar beet is impossible to eliminate with herbicides because of its genetic proximity to the crop. It is presumed to be the progeny of accidental hybrids between sugar beet (ssp. vulgaris) and wild beet (ssp. maritima), or of sugar beet varieties sensitive to vernalization and sown early in years with late cold spells. In this context, genetically modified (GM) sugar beet varieties tolerant to non-selective herbicides would be interesting to manage weed beet. However, because of the proximity of the weed to the crop, it is highly probable that the herbicide-tolerance transgene would b…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_890PopulationSoil ScienceContext (language use)H60 - Mauvaises herbes et désherbageFlux de gènesGenetically modified01 natural sciencesF30 - Génétique et amélioration des planteshttp://aims.fao.org/aos/agrovoc/c_9000024Crophttp://aims.fao.org/aos/agrovoc/c_37331http://aims.fao.org/aos/agrovoc/c_34285[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyhttp://aims.fao.org/aos/agrovoc/c_2018Cropping systemeducation2. Zero hungereducation.field_of_studybiologyU10 - Informatique mathématiques et statistiquesModélisation des culturesfungifood and beverages04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationWeed controlGene flowTillagePratique culturalehttp://aims.fao.org/aos/agrovoc/c_8347AgronomyOrganisme génétiquement modifié040103 agronomy & agriculture0401 agriculture forestry and fisheriesSugar beetBeta vulgarisWeedAgronomy and Crop ScienceMauvaise herbeModelCropping system010606 plant biology & botanyField Crops Research
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OMICfpp: a fuzzy approach for paired RNA-Seq counts

2019

© The Author(s) 2019.

0106 biological scienceslcsh:QH426-470Pipeline (computing)lcsh:BiotechnologyRNA-SeqBinomial testSample (statistics)Biologyoncología médicaMedical Oncology01 natural sciencesFuzzy logicSet (abstract data type)03 medical and health sciencesUser-Computer InterfaceSoftwarelcsh:TP248.13-248.65GeneticsHumansCàncer030304 developmental biologyOrdered weight average0303 health sciencesbusiness.industrySequence Analysis RNAMethodology ArticleHigh-Throughput Nucleotide SequencingPattern recognitionColorectal cancerlcsh:Genetics3201.01 OncologíatranscriptomaRandomization distributionRNAArtificial intelligenceDNA microarraybusinessColorectal NeoplasmsTranscriptome010606 plant biology & botanyBiotechnology
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Novel subpopulations in date palm (Phoenix dactylifera) identified by population-wide organellar genome sequencing

2019

Background The date palm is one of the oldest cultivated fruit trees. The tree can withstand high temperatures and low water and the fruit can be stored dry offering nutrition across the year. The first region of cultivation is believed to be near modern day Iraq, however, where and if the date palm was domesticated is still a topic of debate. Recent studies of chloroplast and genomic DNA revealed two major subpopulations of cultivars centered in both the Eastern range of date palm cultivation including Arabian Peninsula, Iraq and parts of South Asia, and the Western range, including North Africa. Results To better understand the origins of date palm cultivation we sequenced and analyzed ov…

0106 biological scienceslcsh:QH426-470Range (biology)Cultivationlcsh:BiotechnologyeducationPopulationGenomicsBiologyDate palm01 natural sciencesGenomeDomestication03 medical and health scienceslcsh:TP248.13-248.65Organellar genome sequencingBotanyGeneticseducationDomestication030304 developmental biologyOrganelles0303 health scienceseducation.field_of_studyBase SequenceWhole Genome SequencingHaplotypePhoeniceaefood and beverageslcsh:GeneticsHaplotypesPhoenix dactyliferaPalmResearch Article010606 plant biology & botanyBiotechnologyBMC Genomics
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Wine Fermentation

2019

Currently wineries are facing new challenges due to actual market demands for creation of products exhibiting more individual flavors[...]

0106 biological scienceslcsh:TP500-660oenological enzymes<i>Lachancea</i>color intensityyeast hybrids04 agricultural and veterinary sciencesPlant Scienceprocess controllcsh:Fermentation industries. Beverages. Alcohol040401 food science01 natural sciencesBiochemistry Genetics and Molecular Biology (miscellaneous)metabolomics0404 agricultural biotechnologyextraction methods010608 biotechnologyphenolic content<i>Saccharomyces</i>sulfur compoundsFood ScienceFermentation
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Assessment of genetically modified maize GA21 for renewal of authorisation under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐RX‐005)

2017

Efsa Panel On Genetically Modified Organisms (gmo) Requestor: European Commission (DG SANTE)Question number: EFSA-Q-2016-00714Correspondence; Following the submission of application EFSA-GMO-RX-005 under Regulation (EC) No 1829/2003 from Syngenta Crop Protection NV/SA, the Panel on Genetically Modified Organisms of the European Food Safety Authority (GMO Panel) was asked to deliver a scientific risk assessment on the data submitted in the context of the renewal of authorisation application of the herbicide-tolerant genetically modified maize GA21. The data received in the context of this renewal application contained post-market environmental monitoring reports, a systematic search and eval…

0106 biological sciencesmaïsVeterinary (miscellaneous)[SDV]Life Sciences [q-bio]Context (language use)TP1-1185Plant Science010501 environmental sciencesOriginal Applicationmaize01 natural sciencesMicrobiologyGenetically modified soybeanzea maysGA21articles 11 and 23media_common.cataloged_instanceTX341-641European union0105 earth and related environmental sciencesmedia_common2. Zero hungerrenewalNutrition. Foods and food supplybusiness.industryindian cornChemical technologyfungiAuthorizationRegulation (EC) No 1829/200310079 Institute of Veterinary Pharmacology and ToxicologyFood safetyGenetically modified organismBiotechnologyScientific Opinionmaize;GA21 renewal;Regulation (EC) No 1829/2003;articles 11 and 23Regulation (EC) No1829/2003570 Life sciences; biologyAnimal Science and ZoologyParasitologyRisk assessmentbusinessRegulation (EC) No 1829/2003010606 plant biology & botanyFood Science
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Permanent Genetic Resources added to Molecular Ecology Resources Database 1 December 2009-31 January 2010

2010

4 pages; International audience; This article documents the addition of 220 microsatellite marker loci to the Molecular Ecology Resources Database. Loci were developed for the following species: Allanblackia floribunda, Amblyraja radiata, Bactrocera cucurbitae, Brachycaudus helichrysi, Calopogonium mucunoides, Dissodactylus primitivus, Elodea canadensis, Ephydatia fluviatilis, Galapaganus howdenae howdenae, Hoplostethus atlanticus, Ischnura elegans, Larimichthys polyactis, Opheodrys vernalis, Pelteobagrus fulvidraco, Phragmidium violaceum, Pistacia vera, and Thunnus thynnus. These loci were cross-tested on the following species: Allanblackia gabonensis, Allanblackia stanerana, Neoceratitis …

0106 biological sciencesmicrosatellitePopulation geneticsConservation GeneticAllanblackiaAtlantic bluefin tunacomputer.software_genre010603 evolutionary biology01 natural sciencesPistacia terebinthusmicrosatellitesF30 - Génétique et amélioration des plantes03 medical and health sciencesBotanyGeneticsBactroceraESTEcology Evolution Behavior and Systematics030304 developmental biology0303 health sciences[SDV.GEN]Life Sciences [q-bio]/GeneticsDatabasebiologyPistaciaThunnuAnimalCeratitis rosahttp://aims.fao.org/aos/agrovoc/c_444Ceratitis capitataL10 - Génétique et amélioration des animauxbiology.organism_classificationhttp://aims.fao.org/aos/agrovoc/c_5993IschnuraAllanblackia floribundaFishGenetic markersPlantemicrosatellites; Genetic markers; Population geneticsGENETIQUE DES POPULATIONS[ SDV.GEN ] Life Sciences [q-bio]/GeneticscomputerECOLOGIEBiotechnology
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Optimization of Synthetic Media Composition for Kluyveromyces marxianus Fed-Batch Cultivation

2021

The Kluyveromyces marxianus yeast recently has gained considerable attention due to its applicability in high-value-added product manufacturing. In order to intensify the biosynthesis rate of a target product, reaching high biomass concentrations in the reaction medium is mandatory. Fed-batch processes are an attractive and efficient way how to achieve high cell densities. However, depending on the physiology of the particular microbial strain, an optimal media composition should be used to avoid by-product synthesis and, subsequently, a decrease in overall process effi-ciency. Thus, the aim of the present study was to optimise the synthetic growth medium and feeding solution compositions (…

0106 biological sciencesmodel predictive control (MPC)BiomassPlant Science<i>Kluyveromyces marxianus</i>; 2-phenylethanol; fed-batch; cultivation; bioreactor; model predictive control (MPC)01 natural sciencesBiochemistry Genetics and Molecular Biology (miscellaneous)03 medical and health scienceschemistry.chemical_compoundbioreactorKluyveromyces marxianusfed-batch010608 biotechnologyBioreactorFood science030304 developmental biology0303 health sciencesGrowth mediumlcsh:TP500-660biologyChemistrySubstrate (chemistry)biology.organism_classificationlcsh:Fermentation industries. Beverages. AlcoholYeastcultivationYield (chemistry)Composition (visual arts)<i>Kluyveromyces marxianus</i>Food Science2-phenylethanolFermentation
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