Search results for "C.4"

showing 10 items of 1191 documents

Spectroscopic tools for remote sensing of greenhouse gases CH4, CF4 and SF6

2003

International audience; Highly symmetrical molecules such as CH4, CF4 or SF6 are known to be atmospheric pollutants and greenhouse gases. High-resolution spectroscopy in the infrared is particularly suitable for the monitoring of gas concentration and radiative transfers in the earth's atmosphere. This technique requires extensive theoretical studies for the modeling of the spectra of such molecules (positions, intensities and shapes of absorption lines). Here, we have developed powerful tools for the analysis and the simulation of absorption spectra of highly symmetrical molecules. These tools have been implemented in the spherical top data system (STDS) and highly-spherical top data syste…

010504 meteorology & atmospheric sciencesAbsorption spectroscopy[ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph]Infrared01 natural sciencesSpectral lineAtmosphereSoftware[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]0103 physical sciencesRadiative transferEnvironmental ChemistryClimate changeSpectroscopy0105 earth and related environmental sciencesRemote sensingCH4010304 chemical physicsbusiness.industryChemistryCF4Molecular spectroscopyGreenhouse gases13. Climate actionGreenhouse gasbusinessSimulationSF6
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A Metabarcoding Survey on the Fungal Microbiota Associated to the Olive Fruit Fly.

2017

The occurrence of interaction between insects and fungi is interesting from an ecological point of view, particularly when these interactions involve insect pests and plant pathogens within an agroecosystem. In this study, we aimed to perform an accurate analysis on the fungal microbiota associated to Bactrocera oleae (Rossi) through a metabarcoding approach based on 454 pyrosequencing. From this analysis, we retrieved 43,549 reads that clustered into 128 operational taxonomic units (OTUs), of which 29 resulted in the “core” associate fungi of B. oleae. This fungal community was mainly represented by sooty mould fungi, such as Cladosporium spp., Alternaria spp. and Aureobasidium spp., by pl…

0106 biological sciences0301 basic medicineBactrocera oleaeOlive fruit flySoil ScienceAureobasidium01 natural sciences03 medical and health sciencesMicrobial ecologyPseudocercospora454 PyrosequencingAscomycotaOleaBotanyColletotrichumAnimalsDNA Barcoding TaxonomicPseudocercosporaEcology Evolution Behavior and SystematicsEcological nicheHigh-throughput sequencingEcologybiologyBase SequenceEcologyfungiTephritidaefood and beveragesSettore AGR/12 - Patologia VegetaleAlternariaHigh-Throughput Nucleotide SequencingSequence Analysis DNAbiology.organism_classificationAlternaria030104 developmental biologySettore AGR/11 - Entomologia Generale E ApplicataColletotrichumDNA Intergenic454 Pyrosequencing; Bactrocera oleae; Cladosporium; Colletotrichum; High-throughput sequencing; PseudocercosporaCladosporium010606 plant biology & botanyCladosporiumMycobiomeMicrobial ecology
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When Choice Makes Sense: Menthol Influence on Mating, Oviposition and Fecundity in Drosophila melanogaster

2016

International audience; The environment to which insects have been exposed as larvae and adults can affect subsequent behaviors, such as mating, oviposition, food preference or fitness. Experience can change female preference for oviposition, particularly in phytophagous insects. In Drosophila melanogaster, females avoid laying eggs on menthol rich-food when given the choice. Exposure to menthol during larval development reduces this aversion. However, this observation was not reproduced in the following generation. Recently, we have shown that oviposition-site preference (OSP) differs between wild type D. melanogaster lines freely or forcibly exposed to menthol. After 12 generations, menth…

0106 biological sciences0301 basic medicineCognitive Neurosciencemedia_common.quotation_subjectfecundityZoologymenthol[ SDV.BA ] Life Sciences [q-bio]/Animal biology010603 evolutionary biology01 natural scienceslcsh:RC346-429lcsh:RC321-571Courtship03 medical and health sciencesCellular and Molecular Neurosciencechemistry.chemical_compoundBiologie animaleBotanyMelanogasterFood and NutritionMatinglcsh:Neurosciences. Biological psychiatry. Neuropsychiatrylcsh:Neurology. Diseases of the nervous systemchoicemedia_commonOriginal ResearchAnimal biologyoviposition preference;courtship;mating;fecundity;Drosophila melanogaster;menthol;choiceLarvabiologyCourtship display[SDV.BA]Life Sciences [q-bio]/Animal biologyfungioviposition preferencebiology.organism_classificationFecunditySensory Systemsmating030104 developmental biologyDrosophila melanogasterchemistryAlimentation et NutritioncourtshipDrosophila melanogasterMentholNeuroscienceFrontiers in Integrative Neuroscience
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A genomic map of climate adaptation in Mediterranean cattle breeds

2019

International audience; Domestic species such as cattle (Bos taurus taurus and B. t. indicus) represent attractive biological models to characterize the genetic basis of short term evolutionary response to climate pressure induced by their post-domestication history. Here, using newly generated dense SNP genotyping data, we assessed the structuring of genetic diversity of 21 autochtonous cattle breeds from the whole Mediterranean basin and performed genome-wide association analyses with covariables discriminating the different Mediterranean climate sub-types. This provided insights into both the demographic and adaptive histories of Mediterranean cattle. In particular, a detailed functional…

0106 biological sciences0301 basic medicineMediterranean climateCandidate genehttp://aims.fao.org/aos/agrovoc/c_24002Polymorphisme génétiqueAcclimatizationBreedingMediterraneanFacteur climatiquehttp://aims.fao.org/aos/agrovoc/c_11701 natural sciencesMediterranean Basinhttp://aims.fao.org/aos/agrovoc/c_4397http://aims.fao.org/aos/agrovoc/c_1081http://aims.fao.org/aos/agrovoc/c_3225Phylogeny2. Zero hungerGenomeEcology[SDV.BA]Life Sciences [q-bio]/Animal biologyhttp://aims.fao.org/aos/agrovoc/c_24031Chromosome MappingGenomicsSNP genotypingRace (animal)http://aims.fao.org/aos/agrovoc/c_3373http://aims.fao.org/aos/agrovoc/c_2080http://aims.fao.org/aos/agrovoc/c_4940http://aims.fao.org/aos/agrovoc/c_4026Génotypelocal adaptationBétailThermotoleranceBehavior and SystematicGenotypeP40 - Météorologie et climatologiehttp://aims.fao.org/aos/agrovoc/c_29554EvolutionIntrogressionSNPBiologyhttp://aims.fao.org/aos/agrovoc/c_259010603 evolutionary biology03 medical and health sciencescattle climate genetics local adaptation Mediterranean SNPhttp://aims.fao.org/aos/agrovoc/c_3081GeneticsAnimalsAdaptationhttp://aims.fao.org/aos/agrovoc/c_4697http://aims.fao.org/aos/agrovoc/c_8013climateEcology Evolution Behavior and SystematicsLocal adaptationGenetic diversityhttp://aims.fao.org/aos/agrovoc/c_2503Genetic Variation15. Life on landL10 - Génétique et amélioration des animauxClimat méditerranéen030104 developmental biologyGenetics PopulationEvolutionary biologycattleCarte génétiquehttp://aims.fao.org/aos/agrovoc/c_7273Adaptationgenetic
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The bacterial microbiome of meloidogyne-based disease complex in coffee and tomato

2020

The Meloidogyne-based disease complexes (MDCs) are caused by the interaction of different root-knot nematode species and phytopathogenic fungi. These complexes are devastating several important crops worldwide including tomato and coffee. Despite their relevance, little is known about the role of the bacterial communities in the MDCs. In this study 16s rDNA gene sequencing was used to analyze the bacterial microbiome associated with healthy and infested roots, as well with females and eggs of Meloidogyne enterolobii and M. paranaensis, the causal agents of MDC in tomato and coffee, respectively. Each MDC pathosystems displayed a specific taxonomic diversity and relative abundances constitut…

0106 biological sciences0301 basic medicineMeloidogynePathologie végétalePlant Sciencelcsh:Plant culture01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_479203 medical and health sciencesMaladie des planteshttp://aims.fao.org/aos/agrovoc/c_5962Meloidogyne paranaensisSolanum lycopersicumcorky rootAlteromonadalesBotanyhttp://aims.fao.org/aos/agrovoc/c_1721lcsh:SB1-1110MicrobiomeH20 - Maladies des planteshttp://aims.fao.org/aos/agrovoc/c_4475Original Researchfunctional profilehttp://aims.fao.org/aos/agrovoc/c_4729biologypathobiomeP34 - Biologie du solfood and beveragesNocardiaCoffea arabicabiology.organism_classification16S ribosomal RNABacillalesMeloidogyne enterolobiiBurkholderiales030104 developmental biologyNematodehttp://aims.fao.org/aos/agrovoc/c_5974Meloidogyne enterolobii010606 plant biology & botany
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Social process of adaptation to environmental changes: How eastern african societies intervene between crops and climate

2014

Abstract Studies on climate change can only be conducted on a long time scale, and observing how societies adapt their sowing practices to climate variability is challenging and costly. As an alternative, a space and time substitution design was used, changes in space corresponding to that induced in time by environmental change. On the eastern slope of Mount Kenya, the Tharaka community, originating from the lowlands (750 m), moved up to the midlands (950 m) with their lowland-adapted resources, whereas the Mwimbi, originating from wetter upland (1100 m), moved down to the midlands with their highland-adapted genetic resources. A weather station was installed at 950 and 1100 m, and a logis…

0106 biological sciencesAtmospheric ScienceEnsemencement010504 meteorology & atmospheric sciencesEnvironmental changeF08 - Systèmes et modes de cultureadaptation aux changements climatiqueshttp://aims.fao.org/aos/agrovoc/c_11701 natural scienceshttp://aims.fao.org/aos/agrovoc/c_2018http://aims.fao.org/aos/agrovoc/c_7142http://aims.fao.org/aos/agrovoc/c_72682. Zero hungerGlobal and Planetary ChangeAgroforestryEcologyAgriculturehttp://aims.fao.org/aos/agrovoc/c_203[ SDE.MCG ] Environmental Sciences/Global ChangesPratique culturaleGeography[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyCrop growth[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyP40 - Météorologie et climatologie[SDE.MCG]Environmental Sciences/Global ChangesClimate changeGrowing seasonSocietal impactsWeather stationAltitudehttp://aims.fao.org/aos/agrovoc/c_1374567058134E50 - Sociologie ruralehttp://aims.fao.org/aos/agrovoc/c_1666AdaptationClimate variability0105 earth and related environmental sciencesChangement climatiquebusiness.industrySowing15. Life on landhttp://aims.fao.org/aos/agrovoc/c_408613. Climate actionAgricultureSociologieAfricaAdaptationbusinessSocial Sciences (miscellaneous)010606 plant biology & botany
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sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

2021

Datos disponibles en https://github.com/fmsabatini/sPlotOpen_Code

0106 biological sciencesBiomeBos- en LandschapsecologieBiodiversityDIVERSITYFOREST VEGETATION01 natural sciences//purl.org/becyt/ford/1 [https]http://aims.fao.org/aos/agrovoc/c_915Abundance (ecology)big dataVegetation typePHYTOSOCIOLOGICAL DATABASEparcelleForest and Landscape Ecologyfunctional traitsvascular plantsbig data; biodiversity; biogeography; database; functional traits; macroecology; vascular plants; vegetation plotsbig data ; biodiversity ; biogeography ; database ; functional traits ; macroecology ; vascular plants ; vegetation plotsMacroecologyhttp://aims.fao.org/aos/agrovoc/c_3860databasebiodiversity[SDV.EE]Life Sciences [q-bio]/Ecology environmentGlobal and Planetary ChangeEcologyEcologyhttp://aims.fao.org/aos/agrovoc/c_33949vascular plantVegetationF70 - Taxonomie végétale et phytogéographiePE&RCVegetation plotGeography580: Pflanzen (Botanik)Ecosystems Researchhttp://aims.fao.org/aos/agrovoc/c_25409Diffusion de l'informationmacroecologyPlantenecologie en NatuurbeheerVegetatie Bos- en LandschapsecologieBiodiversitéARCHIVECommunauté végétalehttp://aims.fao.org/aos/agrovoc/c_24420Evolutionhttp://aims.fao.org/aos/agrovoc/c_fdfbb37f[SDE.MCG]Environmental Sciences/Global ChangesBiogéographieGRASSLAND VEGETATIONPlant Ecology and Nature Conservation[SDV.BID]Life Sciences [q-bio]/Biodiversity010603 evolutionary biologyBehavior and SystematicsCouverture végétale577: ÖkologiePLANThttp://aims.fao.org/aos/agrovoc/c_8176//purl.org/becyt/ford/1.6 [https]/dk/atira/pure/core/keywords/biologyfunctional traitBiologyEcology Evolution Behavior and SystematicsVegetatiebiogeographyVegetation010604 marine biology & hydrobiology/dk/atira/pure/core/keywords/559922418Impact sur l'environnementDRY GRASSLANDSPlant community15. Life on landVégétationWETLAND VEGETATIONhttp://aims.fao.org/aos/agrovoc/c_45b5a34avegetation plotsEarth and Environmental SciencesUNIVERSITYPhysical geographyVegetation Forest and Landscape Ecology[SDE.BE]Environmental Sciences/Biodiversity and Ecologydonnées ouverteshttp://aims.fao.org/aos/agrovoc/c_32514Global and Planetary Change
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Data synergy between leaf area index and clumping index Earth Observation products using photon recollision probability theory

2018

International audience; Clumping index (CI) is a measure of foliage aggregation relative to a random distribution of leaves in space. The CI can help with estimating fractions of sunlit and shaded leaves for a given leaf area index (LAI) value. Both the CI and LAI can be obtained from global Earth Observation data from sensors such as the Moderate Resolution Imaging Spectrometer (MODIS). Here, the synergy between a MODIS-based CI and a MODIS LAI product is examined using the theory of spectral invariants, also referred to as photon recollision probability ('p-theory'), along with raw LAI-2000/2200 Plant Canopy Analyzer data from 75 sites distributed across a range of plant functional types.…

0106 biological sciencesCanopyEarth observationPhoton010504 meteorology & atmospheric sciencesF40 - Écologie végétalehttp://aims.fao.org/aos/agrovoc/c_1920Soil Science01 natural sciencesMeasure (mathematics)http://aims.fao.org/aos/agrovoc/c_7701Multi-angle remote sensingProbability theoryhttp://aims.fao.org/aos/agrovoc/c_718Foliage clumping indexRange (statistics)http://aims.fao.org/aos/agrovoc/c_3081[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyComputers in Earth SciencesLeaf area indexhttp://aims.fao.org/aos/agrovoc/c_4039http://aims.fao.org/aos/agrovoc/c_4116Photon recollision probabilityhttp://aims.fao.org/aos/agrovoc/c_10672http://aims.fao.org/aos/agrovoc/c_32450105 earth and related environmental sciencesMathematicsRemote sensinghttp://aims.fao.org/aos/agrovoc/c_8114GeologyVegetationhttp://aims.fao.org/aos/agrovoc/c_5234http://aims.fao.org/aos/agrovoc/c_7558Leaf area indexhttp://aims.fao.org/aos/agrovoc/c_7273http://aims.fao.org/aos/agrovoc/c_1236http://aims.fao.org/aos/agrovoc/c_1556U30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_4026010606 plant biology & botanyhttp://aims.fao.org/aos/agrovoc/c_6124
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Effect of pulp cell number and assimilate availability on dry matter accumulation rate in a banana fruit (Musa sp. AAA group 'Grande Naine' (Cavendis…

2001

Fruit position on the bunch (inflorescence) is an important part of variability in banana fruit weight at harvest, as fruits at the bottom of the bunch (distal fruits) are approx. 40% smaller than those at the top (proximal fruits). In this study, the respective roles of cell number and cell filling rate in the development of pulp dry weight are estimated. To this end, the source/sink ratio in the plant was altered at different stages of fruit development. Leaf shading (reducing resource availability), bunch bagging (increasing sink activity by increasing fruit temperature), and bunch trimming (decreasing sink size by fruit pruning), applied once cell division had finished, showed that the …

0106 biological sciencesCell numberFruit developmentF62 - Physiologie végétale - Croissance et développementPlant ScienceBiology01 natural sciencesSink (geography)[SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics03 medical and health sciencesFilling rateCelluleDry weightstomatognathic systemBananeDry matterPulpe de fruitshttp://aims.fao.org/aos/agrovoc/c_3126Croissancehttp://aims.fao.org/aos/agrovoc/c_4993ComputingMilieux_MISCELLANEOUS030304 developmental biology2. Zero hunger0303 health sciencesgeographygeography.geographical_feature_categoryhttp://aims.fao.org/aos/agrovoc/c_1418BANANIERfungifood and beveragesMusaECOPHYSIOLOGIE[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/BotanicsTempératurehttp://aims.fao.org/aos/agrovoc/c_921Relation source puitsstomatognathic diseaseshttp://aims.fao.org/aos/agrovoc/c_3394http://aims.fao.org/aos/agrovoc/c_7657AgronomyInflorescencehttp://aims.fao.org/aos/agrovoc/c_806http://aims.fao.org/aos/agrovoc/c_34110Shading010606 plant biology & botanyDéveloppement biologique
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Cytological and molecular characterization of three gametoclones of Citrus clementina

2013

Abstract Background Three gametoclonal plants of Citrus clementina Hort. ex Tan., cv. Nules, designated ESP, FRA, and ITA (derived from three labs in Spain, France, and Italy, respectively), were selected for cytological and molecular characterization in order to elucidate genomic rearrangements provoked by haploidization. The study included comparisons of their ploidy, homozygosity, genome integrity, and gene dosage, using chromosome counting, flow cytometry, SSR marker genotyping, and array-Comparative Genomic Hybridization (array-CGH). Results Chromosome counting and flow cytometry revealed that ESP and FRA were haploid, but ITA was tri-haploid. Homozygous patterns, represented by a sing…

0106 biological sciencesCitrus[SDV]Life Sciences [q-bio]ÉvolutionPlant ScienceHaploidyHORT EX TAN01 natural sciencesGenomeF30 - Génétique et amélioration des planteshttp://aims.fao.org/aos/agrovoc/c_3185SSRSMARKERShttp://aims.fao.org/aos/agrovoc/c_2091http://aims.fao.org/aos/agrovoc/c_8837Citrus clementinaGynogénèseGenetics0303 health scienceshttp://aims.fao.org/aos/agrovoc/c_1637Homozygotehttp://aims.fao.org/aos/agrovoc/c_27583http://aims.fao.org/aos/agrovoc/c_26859Culture d'anthèreCytologieRECOVERYSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeGENOMEhttp://aims.fao.org/aos/agrovoc/c_3490[SDE]Environmental SciencesGametoclonal variationhttp://aims.fao.org/aos/agrovoc/c_6ce991ddPloidyhttp://aims.fao.org/aos/agrovoc/c_4026Genome PlantResearch ArticleLocus des caractères quantitatifsSéquence nucléotidiqueAnther cultureGamèteLocus (genetics)BiologyGenome sequencingGene dosageAnther culture Gynogenesis Gametoclonal variation Genome sequencingDNA sequencinghttp://aims.fao.org/aos/agrovoc/c_489103 medical and health sciencesGynogenesisRETICULATA BLANCOREGENERATIONHaploïdiehttp://aims.fao.org/aos/agrovoc/c_3081Anther culture;Gynogenesis;Gametoclonal variation;Genome sequencing;HORT EX TAN;ANTHER CULTURE;RETICULATA BLANCO;REGENERATION;RECOVERY;MARKERS;GENOME;SSRS[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyAllelehttp://aims.fao.org/aos/agrovoc/c_37974GeneGenotypingAlleles030304 developmental biologyhttp://aims.fao.org/aos/agrovoc/c_2745Biologie moléculairehttp://aims.fao.org/aos/agrovoc/c_7273010606 plant biology & botany
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