Search results for "Method"

showing 10 items of 13253 documents

Image analysis methods for assessment of H2O2 production and Plasmopara viticola development in grapevine leaves: application to the evaluation of re…

2013

article i nfo The grapevine downy mildew (Plasmopara viticola) provokes severe damages and destroys the harvest in the absence of an effective protection. Numerous fungicide treatments are thus generally necessary. To promote a sustainable production, alternative strategies of protection including new antifungal molecules, resistant geno- types or elicitor-induced resistance are under trial. To evaluate the relevance of these strategies, resistance tests are required. In this context, three image analysis methods were developed to read the results of tests performed to assessP.viticolasporulation and mycelial development, and H 2 O 2 production in leaves. They have been validated using elic…

0106 biological sciencesMicrobiology (medical)Antifungalmedicine.drug_class[SDV]Life Sciences [q-bio]H2O2Context (language use)01 natural sciencesMicrobiologyImage analysis03 medical and health sciencesPlasmopara viticolamedicinePlant defense against herbivoryImage Processing Computer-Assisted[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyVitisimage analysis;Plasmopara viticola;downy mildew;grapevine;H2O2;resistance testsMolecular Biology[ SDV.MP.MYC ] Life Sciences [q-bio]/Microbiology and Parasitology/MycologyAnalysis method[SDV.MP.MYC]Life Sciences [q-bio]/Microbiology and Parasitology/Mycology030304 developmental biologyDisease ResistancePlant Diseases2. Zero hunger0303 health sciencesResistance (ecology)biologyResistance testsReproducibility of Resultsfood and beveragesHydrogen Peroxidebiology.organism_classificationFungicidePlant LeavesHorticultureAgronomyOomycetesPlasmopara viticola[SDE]Environmental SciencesDowny mildewGrapevine010606 plant biology & botanyDowny mildew
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Bayesian analysis improves experimental studies about temporal patterning of aggression in fish.

2017

Made available in DSpace on 2018-12-11T17:15:13Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-12-01 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) This study aims to describe a Bayesian Hierarchical Linear Model (HLM) approach for longitudinal designs in fish's experimental aggressive behavior studies as an alternative to classical methods In particular, we discuss the advantages of Bayesian analysis in dealing with combined variables, non-statistically significant results and required sample size using an experiment of angelfish (Pterophyllum scalare) species as case study. Groups of 3 individuals were subjected to daily observations recorded for 10 min durin…

0106 biological sciencesMonte Carlo methodBayesian probabilityBayesian analysisAquaculture010603 evolutionary biology01 natural sciencesStability (probability)Behavioral NeuroscienceStatisticsAnimals0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyPterophyllum scalareProbabilitybiologyMarkov chain05 social sciencesMultilevel modelAggressive behaviorBayes TheoremGeneral MedicineCichlidsbiology.organism_classificationLongitudinal designMarkov ChainsAggressionVariable (computer science)Sample size determinationResearch DesignAnimal Science and ZoologyPsychologyMonte Carlo MethodBehavioural processes
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Empirical Bayes improves assessments of diversity and similarity when overdispersion prevails in taxonomic counts with no covariates

2019

Abstract The assessment of diversity and similarity is relevant in monitoring the status of ecosystems. The respective indicators are based on the taxonomic composition of biological communities of interest, currently estimated through the proportions computed from sampling multivariate counts. In this work we present a novel method to estimate the taxonomic composition able to work even with a single sample and no covariates, when data are affected by overdispersion. The presence of overdispersion in taxonomic counts may be the result of significant environmental factors which are often unobservable but influence communities. Following the empirical Bayes approach, we combine a Bayesian mo…

0106 biological sciencesMultivariate statisticsBiological dataEmpirical Bayesian estimationEcologyTaxonomic compositionGeneral Decision SciencesEnvironmental monitoring010501 environmental sciencesBayesian inference010603 evolutionary biology01 natural sciencesBiodiversity assessment; Dirichlet-Multinomial model; Empirical Bayesian estimation; Environmental monitoring; Taxonomic compositionMarginal likelihoodBayes' theoremOverdispersionStatisticsTaxonomic rankDirichlet-Multinomial modelBiodiversity assessmentEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEmpirical Bayes methodMathematics
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Efficient estimation of generalized linear latent variable models.

2019

Generalized linear latent variable models (GLLVM) are popular tools for modeling multivariate, correlated responses. Such data are often encountered, for instance, in ecological studies, where presence-absences, counts, or biomass of interacting species are collected from a set of sites. Until very recently, the main challenge in fitting GLLVMs has been the lack of computationally efficient estimation methods. For likelihood based estimation, several closed form approximations for the marginal likelihood of GLLVMs have been proposed, but their efficient implementations have been lacking in the literature. To fill this gap, we show in this paper how to obtain computationally convenient estim…

0106 biological sciencesMultivariate statisticsMultivariate analysisComputer scienceBinomials01 natural sciencesPolynomials010104 statistics & probabilityAmoebastilastolliset mallitestimointiProtozoansLikelihood FunctionsMultidisciplinaryApproximation MethodsStatistical ModelsSimulation and ModelingApplied MathematicsStatisticsQLinear modelREukaryotaLaplace's methodData Interpretation StatisticalPhysical SciencesVertebratesMedicineAlgorithmAlgorithmsResearch ArticleOptimizationScienceLatent variableResearch and Analysis Methods010603 evolutionary biologygeneralized linear latent variable modelsSet (abstract data type)BirdsAnimalsComputer Simulation0101 mathematicsta112OrganismsBiology and Life SciencesStatistical modelMarginal likelihoodAlgebraAmniotesMultivariate AnalysisLinear ModelsMathematicsSoftwarePLoS ONE
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Reference growth charts for Posidonia oceanica seagrass: An effective tool for assessing growth performance by age and depth

2016

Abstract Growth performance of rhizomes has become among the most used descriptors for monitoring Posidonia oceanica seagrass dynamics and population status. However, ability to detect any change of growth in space or in time is often confounded by natural age-induced decline. To overcome this problem, we have produced reference growth charts, which in other areas are universally recognized as a very powerful tool for comparing growth of living beings during their ontogeny. Reference growth charts involving different P. oceanica growth performance measures (speed of growth and primary production of rhizomes) have been built using proper statistical frameworks (GLMM, Segmented and Quantile R…

0106 biological sciencesPercentileAgingDating methodGeneral Decision Sciences010603 evolutionary biology01 natural sciencesMediterranean seaAquatic plant ecologyStatisticsRange (statistics)ConfoundingSegmented regressionSeagrasseEcology Evolution Behavior and SystematicsbiologyEcologyEcologyLepidochronology010604 marine biology & hydrobiologybiology.organism_classificationSeagrassSegmented regressionDecision Sciences (all)Posidonia oceanicaShootBreakpointGLMMQuantile
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RNA interference in Lepidoptera: an overview of successful and unsuccessful studies and implications for experimental design.

2011

International audience; Gene silencing through RNA interference (RNAi) has revolutionized the study of gene function, particularly in non-model insects. However, in Lepidoptera (moths and butterflies) RNAi has many times proven to be difficult to achieve. Most of the negative results have been anecdotal and the positive experiments have not been collected in such a way that they are possible to analyze. In this review, we have collected detailed data from more than 150 experiments including all to date published and many unpublished experiments. Despite a large variation in the data, trends that are found are that RNAi is particularly successful in the family Saturniidae and in genes involv…

0106 biological sciencesPhysiology[SDV]Life Sciences [q-bio]Tissue uptakeBioinformatics01 natural sciencesRNA interferenceRNA interferenceDatabases GeneticDelivery methodsCaenorhabditis elegansRegulation of gene expression0303 health sciencesIMMUNE-RESPONSESMANDUCA-SEXTALepidopteraRNA silencingSILKWORM BOMBYX-MORIResearch DesignInsect ProteinsRNA InterferenceMESSENGER-RNAHELICOVERPA-ARMIGERADOUBLE-STRANDED-RNAComputational biologyBiologyLepidoptera genitaliadsRNA properties03 medical and health sciencesBACILLUS-THURINGIENSISSMALL SILENCING RNASGene silencingAnimalsGene SilencingGene030304 developmental biologyRNA Double-StrandedMechanism (biology)fungiBiology and Life SciencesARMYWORM SPODOPTERA-FRUGIPERDAbiology.organism_classificationImmunity Innate010602 entomologyGene Expression RegulationInsect ScienceEpidermisCAENORHABDITIS-ELEGANSGene functionJournal of insect physiology
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Risk of predation makes foragers less choosy about their food.

2017

18 pages; International audience; Animals foraging in the wild have to balance speed of decision making and accuracy of assessment of a food item's quality. If resource quality is important for maximizing fitness, then the duration of decision making may be in conflict with other crucial and time consuming tasks, such as anti-predator behaviours or competition monitoring. Individuals facing the risk of predation and/or competition should adjust the duration of decision making and, as a consequence, their level of choosiness for resources. When exposed to predation, the forager could either maintain its level of choosiness for food items but accept a reduction in the amount of food items con…

0106 biological sciencesPhysiologylcsh:MedicinePredationSocial SciencesKaplan-Meier EstimateChoice Behavior01 natural sciencesPredationCognitionMathematical and Statistical TechniquesBeetlesMedicine and Health Sciences[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisPsychologyForagingDecision-makinglcsh:Sciencemedia_common2. Zero hungerMultidisciplinaryEcologyAnimal BehaviorEcology05 social sciencesEukaryotaPlantsTrophic InteractionsInsectsCommunity EcologyPhysical SciencesSeedsStatistics (Mathematics)Research ArticleRiskOpportunity costArthropodaMovementmedia_common.quotation_subjectDecision MakingForagingBiologyResearch and Analysis Methods010603 evolutionary biologyIntraspecific competitionCompetition (biology)Food PreferencesAnimals0501 psychology and cognitive sciencesQuality (business)050102 behavioral science & comparative psychologyStatistical MethodsBehavior[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologylcsh:REcology and Environmental SciencesCognitive PsychologyFood ConsumptionOrganismsBiology and Life SciencesInterspecific competitionInvertebratesFoodPredatory BehaviorCognitive Sciencelcsh:QWeeds[SDE.BE]Environmental Sciences/Biodiversity and EcologyPhysiological ProcessesZoologyMathematicsNeuroscienceGeneralized Linear ModelDemography[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Impacts of arbuscular mycorrhizal fungi on nutrient uptake, N2 fixation, N transfer, and growth in a wheat/faba bean intercropping system

2019

Arbuscular mycorrhizal fungi (AMF) can play a key role in natural and agricultural ecosystems affecting plant nutrition, soil biological activity and modifying the availability of nutrients by plants. This research aimed at expanding the knowledge of the role played by AMF in the uptake of macro- and micronutrients and N transfer (using a 15 N stem-labelling method) in a faba bean/wheat intercropping system. It also investigates the role of AMF in biological N fixation (using the natural isotopic abundance method) in faba bean grown in pure stand and in mixture. Finally, it examines the role of AMF in driving competition and facilitation between faba bean and wheat. Durum wheat and faba bea…

0106 biological sciencesPlant Roots01 natural sciencesSoilNutrientMycorrhizaeVegetablesBiomassTriticummedia_commonMultidisciplinaryN2 biological fixationQREukaryotafood and beveragesAgriculturePhosphorusIntercropping04 agricultural and veterinary sciencesPlantsAgricultural MethodsLegumesVicia fabaAMF symbiosiSettore AGR/02 - Agronomia E Coltivazioni ErbaceeWheatNitrogen fixationMedicineResearch ArticleCrops AgriculturalNitrogenBeansSoil biologymedia_common.quotation_subjectScienceCropsBiologyCompetition (biology)SymbiosisNitrogen FixationGrassesSymbiosisEcosystemInoculationfungiOrganismsFungiBiology and Life SciencesNutrientsbiology.organism_classificationCereal-legume intercroppingSpecies InteractionsIntercroppingAgronomy040103 agronomy & agriculture0401 agriculture forestry and fisheriesPlant nutritionCrop ScienceCereal Crops010606 plant biology & botany
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An Empirical Evaluation of the Utility of Convex Hull and Standard Ellipse Areas for Assessing Population Niche Widths from Stable Isotope Data

2013

Stable isotope analyses are increasingly employed to characterise population niche widths. The convex hull area (TA) in a δ¹³C–δ¹⁵N biplot has been used as a measure of isotopic niche width, but concerns exist over its dependence on sample size and associated difficulties in among-population comparisons. Recently a more robust method was proposed for estimating and comparing isotopic niche widths using standard ellipse areas (SEA), but this approach has yet to be tested with empirical stable isotope data. The two methods measure different kind of isotopic niche areas, but both are now widely used to characterise isotopic niche widths of populations. We used simulated data and an extensive e…

0106 biological sciencesPopulation Dynamicslcsh:MedicinePopulation Modeling01 natural sciencesTheoretical EcologyFood Web StructureStatisticsRange (statistics)lcsh:ScienceFreshwater EcologyCarbon Isotopeseducation.field_of_studyMultidisciplinaryEcologyδ13CEcologyStable isotope ratioStatisticsFishesBiogeochemistryisotopic nicheTrophic Interactionstrophic nicheCommunity Ecologyconvex hullResearch ArticlePopulationNichestable isotopesBiostatistics010603 evolutionary biologyNiche ConstructionNormal distributionBayesian ellipse areavakaat isotoopitAnimals14. Life underwaterStatistical MethodseducationBiologyEcological nicheNitrogen Isotopes010604 marine biology & hydrobiologylcsh:RComputational BiologySpecies InteractionsSample size determinationSample SizeravintolokeroEnvironmental scienceta1181lcsh:QPopulation EcologyEcosystem ModelingMathematicsPLOS ONE
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Characterization of eight microsatellite loci for the sea urchin Meoma ventricosa (Spatangoida, Brissidae) through Next Generation Sequencing.

2015

Eight microsatellite loci were characterized for Meoma ventricosa (Lamarck, 1816), a burrowing sea urchin that can be afflicted by a bacterial disease causing localized mass mortality. For the analyzed population (29 individuals from St. Croix, US Virgin Islands), we observed 8.125 mean number of alleles, 0.640 mean observed heterozygosity (Ho) and 0.747 mean expected heterozygosity (He). Two loci showed significant deviations from Hardy-Weinberg equilibrium. Overall, the described loci were characterized by a moderately highlevel of polymorphism suggesting that these markers are useful for a population genetic studyin the Caribbean Sea.

0106 biological sciencesPopulationZoology454 method010603 evolutionary biology01 natural sciencesBiochemistryLoss of heterozygosityMeoma ventricosa03 medical and health sciencesbiology.animal14. Life underwaterAlleleeducationMicrosatellitesSea urchinTagged primer methodEcology Evolution Behavior and Systematics030304 developmental biologySpatangoidaGeneticsCaribbean0303 health scienceseducation.field_of_studyBacterial diseasebiology[ SDV.GEN.GA ] Life Sciences [q-bio]/Genetics/Animal geneticsbiology.organism_classification[SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal geneticsMicrosatelliteEchinoidSciences exactes et naturelles
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