Search results for "F01 - Culture des plantes"

showing 5 items of 5 documents

Long-term mineral fertiliser use and maize residue incorporation do not compensate for carbon and nutrient losses from a Ferralsol under continuous m…

2015

9 pages; International audience; It has been repeatedly argued that mineral fertiliser application combined with in situ retention of crop residue biomass can sustain long-term productivity of West African soils. Using 20-year experimental data from southern Togo, a biannual rainfall area, we analysed the effect of two rates of mineral NPK fertiliser application to maize–cotton rotation on the long-term dynamics of soil C and nutrient contents, as compared with two control treatments. Mineral fertiliser treatments consisted of application to both maize (first season) and cotton (second season) the research-recommended NPK rates (Fertiliser-RR) and 1.5 times these rates (Fertiliser-1.5 RR). …

0106 biological sciencesRésidu de récolteCrop residueRotation culturalehttp://aims.fao.org/aos/agrovoc/c_27870[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomySoil fertility management01 natural sciencesSoil managementCrop rotationF01 - Culture des plantesSoil pHhttp://aims.fao.org/aos/agrovoc/c_10795http://aims.fao.org/aos/agrovoc/c_356572. Zero hungerSub-Saharan Africahttp://aims.fao.org/aos/agrovoc/c_166http://aims.fao.org/aos/agrovoc/c_718204 agricultural and veterinary sciencesPE&RCTillageRendement des cultureshttp://aims.fao.org/aos/agrovoc/c_8504http://aims.fao.org/aos/agrovoc/c_3335P33 - Chimie et physique du solCarbonehttp://aims.fao.org/aos/agrovoc/c_7170[ SDV.SA.SDS ] Life Sciences [q-bio]/Agricultural sciences/Soil studySoil Science[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil studyZea maysFertilisationMatière organique du solhttp://aims.fao.org/aos/agrovoc/c_10176[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/AgronomyFertilité du solhttp://aims.fao.org/aos/agrovoc/c_7801Propriété physicochimique du solhttp://aims.fao.org/aos/agrovoc/c_1301http://aims.fao.org/aos/agrovoc/c_16118GossypiumP35 - Fertilité du solSowingFarm Systems Ecology Group15. Life on landCrop rotationAgronomySoil water040103 agronomy & agricultureEngrais minéral0401 agriculture forestry and fisheriesEnvironmental scienceSoil fertilityAgronomy and Crop Sciencehttp://aims.fao.org/aos/agrovoc/c_6662F04 - Fertilisation010606 plant biology & botanyField Crops Research
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Peaks of in situ N2O emissions are influenced by N2O producing and reducing microbial communities across arable soils

2018

International audience; Introduction Agriculture is the main source of terrestrial N2O emissions, a potent greenhouse gas and the main cause of ozone depletion ((Hu et al., 2015). The reduction of N2O into N2 by microorganisms carrying the nitrous oxide reductase gene (nosZ) is the only known biological process eliminating this greenhouse gas. Recent studies showed that a previously unknown clade of N2O-reducers (nosZII) was related to the potential capacity of the soil to act as a N2O sink (see Hallin et al., 2017 and references therein). However little is known about how this group responds to different agricultural practices. Here, we investigated how N2O-producers and N2O-reducers were …

0301 basic medicine[SDE] Environmental SciencesDenitrification[SDV]Life Sciences [q-bio]Biologie du sol[SHS]Humanities and Social Sciencesnitrogen cyclingF01 - Culture des plantes[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyhttp://aims.fao.org/aos/agrovoc/c_34841General Environmental Science2. Zero hungerAbiotic componentGlobal and Planetary ChangeBiotic componentdenitrificationEcologyEcologyNitrification[SDV] Life Sciences [q-bio]greenhouse gasCycle de l'azote[SDE]Environmental Sciencestillage[SHS] Humanities and Social SciencesArable landGaz à effet de serreP33 - Chimie et physique du solagroecosystemsP40 - Météorologie et climatologie030106 microbiologyhttp://aims.fao.org/aos/agrovoc/c_2793803 medical and health sciencesland-useEnvironmental Chemistryhttp://aims.fao.org/aos/agrovoc/c_12834[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyhttp://aims.fao.org/aos/agrovoc/c_1666Nitrogen cycleChangement climatique[ SDV ] Life Sciences [q-bio]http://aims.fao.org/aos/agrovoc/c_7160P34 - Biologie du sol15. Life on landequipment and suppliesagroecosystems;nitrogen cycling;land-use;tillage;denitrification;nitrification;microbial diversity;greenhouse gasAgronomy13. Climate actionGreenhouse gasmicrobial diversitySoil waterEnvironmental scienceNitrification
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The onset of the rainy season and farmers’ sowing strategy for pearl millet cultivation in Southwest Niger

2011

A multi-year (2004-2009) field survey of on-farm sowing practices in 10 villages located in south-west Niger close to Niamey, is analysed to investigate the relationships (i) between rainfall and the sowing date of pearl millet and the risk of sowing failure, (ii) between sowing and meteorological/agro-climatic onset dates, (iii) between sowing/onset dates, and simulated and observed yield/biomass at the end of the season. Even if some villages sow without any synchronous or anterior rainfall, most parcels (73% out of the 1551 available cases) are sown during and just after a 2-day wet spell receiving at least 10 mm. In fact, there is a strong correlation (r = 0.82-0.95 depending on onset d…

Atmospheric Science010504 meteorology & atmospheric sciencesFacteur climatique01 natural sciencesF01 - Culture des plantesYield (wine)Farmers' strategiesNigerPennisetum glaucumdate de semis2. Zero hunger[SDV.EE]Life Sciences [q-bio]/Ecology environmentGlobal and Planetary ChangeBiomass (ecology)MilAgroforestryForestry04 agricultural and veterinary sciencesPearl Millet[ SDE.MCG ] Environmental Sciences/Global ChangesRendement des cultureshttp://aims.fao.org/aos/agrovoc/c_13199[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologySowing dateWet seasonP40 - Météorologie et climatologiehttp://aims.fao.org/aos/agrovoc/c_29554[SDE.MCG]Environmental Sciences/Global ChangesBiometeorologySemisBiologyOnset of the rainy seasonPearl milletCrophttp://aims.fao.org/aos/agrovoc/c_10176http://aims.fao.org/aos/agrovoc/c_6437Onset dateGrain yield0105 earth and related environmental scienceshttp://aims.fao.org/aos/agrovoc/c_5181SowingTropics15. Life on landAgronomy13. Climate action040103 agronomy & agriculture0401 agriculture forestry and fisherieshttp://aims.fao.org/aos/agrovoc/c_16208Agronomy and Crop SciencePluviomètre
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Adapter localement les prévisions climatiques saisonnières : désagrégation stochastique et interpolation spatiale.

2013

6 pages; International audience; Un panorama est fait des méthodes de descente d’échelles permettant de passer de prévisions climatiques saisonnières de large-échelle à des séries locales journalières. L’exemple des générateurs stochastiques de temps est appliqué à la prévision des récoltes de sorgho au Kenya, dans le cadre du programme ANR PICREVAT. Une méthode d’interpolation spatiale des paramètres des générateurs est testée, pour obtenir des séries journalières de précipitations en tout point du territoire. Les séries générées sont utilisées en entrée du modèle agronomique SARRA-H.

P40 - Météorologie et climatologieF01 - Culture des plantesU10 - Informatique mathématiques et statistiques[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistrydésagrégationgénérateur stochastiqueprécipitationsrendementsprévision saisonnière[ SDU.STU.GC ] Sciences of the Universe [physics]/Earth Sciences/Geochemistry
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Climatic gradients along the windward slopes of Mount Kenya and their implication for crop risks. Part 2 : crop sensitivity.

2016

16 pages; International audience; Mount Kenya is an equatorial mountain whose climatic setting is fairly simple (two rainy seasons in March–May, the Long Rains, and October–December, the Short Rains) though concealing significant spatial variations related to elevation and aspect (part I, Camberlin et al., 2014). This part II is dedicated to the sensitivity of sorghum yields to climate variability in space and time, with a focus on the intra-seasonal characteristics of the rainy seasons. To that aim we use the crop model SARRA-H calibrated for the region and fed with rainfall, temperature, wind speed, humidity and solar radiation data over the period 1973–2001 at three stations located on t…

P40 - Météorologie et climatologie[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomySARRA-Hintra-seasonal componentsrainy seasonhttp://aims.fao.org/aos/agrovoc/c_9000024http://aims.fao.org/aos/agrovoc/c_10176[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/AgronomyF01 - Culture des planteshttp://aims.fao.org/aos/agrovoc/c_7244ComputingMilieux_MISCELLANEOUSPrécipitationhttp://aims.fao.org/aos/agrovoc/c_24894rainfall variabilityU10 - Informatique mathématiques et statistiquesModélisation des culturescrop modelKenyaVariation saisonnièreRendement des cultureselevation gradientshttp://aims.fao.org/aos/agrovoc/c_4086[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatologyhttp://aims.fao.org/aos/agrovoc/c_6161sorghum[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatology
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