Search results for "29(55)"

showing 4 items of 4 documents

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 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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Timing and patterns of the ENSO signal in Africa over the last 30 years: insights from normalized difference vegetation index data.

2014

Abstract A more complete picture of the timing and patterns of the ENSO signal during the seasonal cycle for the whole of Africa over the three last decades is provided using the normalized difference vegetation index (NDVI). Indeed, NDVI has a higher spatial resolution and is more frequently updated than in situ climate databases, and highlights the impact of ENSO on vegetation dynamics as a combined result of ENSO on rainfall, solar radiation, and temperature. The month-by-month NDVI–Niño-3.4 correlation patterns evolve as follows. From July to September, negative correlations are observed over the Sahel, the Gulf of Guinea coast, and regions from the northern Democratic Republic of Congo…

RainfallSaisonAtmospheric ScienceEquatorhttp://aims.fao.org/aos/agrovoc/c_50098F62 - Physiologie végétale - Croissance et développementhttp://aims.fao.org/aos/agrovoc/c_6734http://aims.fao.org/aos/agrovoc/c_8516http://aims.fao.org/aos/agrovoc/c_7222http://aims.fao.org/aos/agrovoc/c_8038http://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_24199U10 - Informatique mathématiques et statistiquesIndice de surface foliairehttp://aims.fao.org/aos/agrovoc/c_165VegetationRemote sensing[ SDE.MCG ] Environmental Sciences/Global Changeshttp://aims.fao.org/aos/agrovoc/c_7657El Niño Southern OscillationGeography[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyClimatologyhttp://aims.fao.org/aos/agrovoc/c_6161P01 - Conservation de la nature et ressources foncières[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatologyhttp://aims.fao.org/aos/agrovoc/c_7252http://aims.fao.org/aos/agrovoc/c_7497ENSOModèle mathématiquehttp://aims.fao.org/aos/agrovoc/c_8500http://aims.fao.org/aos/agrovoc/c_1671P40 - Météorologie et climatologieTélédétectionhttp://aims.fao.org/aos/agrovoc/c_29553[SDE.MCG]Environmental Sciences/Global ChangesNormalized Difference Vegetation Indexhttp://aims.fao.org/aos/agrovoc/c_35196Interannual variabilityhttp://aims.fao.org/aos/agrovoc/c_6911Donnée climatiquePrecipitationCombined resulthttp://aims.fao.org/aos/agrovoc/c_8176http://aims.fao.org/aos/agrovoc/c_2676PrécipitationWinter rainfallIntertropical Convergence ZoneVégétation15. Life on landTempérature13. Climate actionVegetation-atmosphere interactionsAfricaClimatologiehttp://aims.fao.org/aos/agrovoc/c_4964Énergie solaire
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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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