Search results for "Cropping"

showing 10 items of 150 documents

Carbohydrate dynamics in particle-size fractions of sandy spodosols following forest conversion to maize cropping

2006

International audience; In southwest France, much of the forested land on sandy spodosols has been converted to continuous maize cropping in the last few decades. To evaluate the impacts of this change on soil organic matter properties, we compared total organic C and neutral and amino sugars content in whole soil and particle size separates of two forested, and five related sites that had been either clear-cut for 12 and 18 mo, or cultivated to maize for 4-22yr. Soil carbohydrates accounted for 4-7% of the total organic C across all sites. Soil organic C contents of clear-cut and cultivated sites were only 57-79% of the average value measured in forested sites. Accordingly, carbohydrate co…

0106 biological sciencesPINE FORESTAmino sugarChronosequenceSoil ScienceMuramic acidSilt[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study01 natural sciencesMicrobiologyPARTICLE SIZE SEPARATESUCRESchemistry.chemical_compoundPoaceaeFRACTIONNEMENT GRANULOMETRIQUE2. Zero hungerchemistry.chemical_classificationPODZOSOLBIOCHIMIESoil organic matterCARBOHYDRATESPIN MARITIME04 agricultural and veterinary sciences15. Life on landPodzolchemistryAgronomyMAIZE CROPPINGSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheries010606 plant biology & botany
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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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Effects of seed production and storage conditions on blackgrass (Alopecurus myosuroides) germination and shoot elongation

2003

Abstract Blackgrass is a common winter annual grass weed in autumn-sown crop rotations in Atlantic European countries. Control with a minimum amount of herbicides in integrated cropping systems would be facilitated by modeling the effect of cropping systems on its demography. To develop the submodel relating weed seed bank to emerged seedlings, laboratory experiments were conducted to analyze and quantify seed germination and shoot elongation. These processes were studied as a function of environmental conditions during seed production (nitrogen availability, water deficit, plant density, and crop) and of seed characteristics (seed weight, harvest date, storage length, and dry-stored/soil-b…

0106 biological sciencesPlant Science01 natural sciencesCrop[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyVULPIN[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyComputingMilieux_MISCELLANEOUS2. Zero hungerbiologyfungiAlopecurus myosuroidesfood and beverages04 agricultural and veterinary sciencesBANQUE DE GRAINE15. Life on landCrop rotationbiology.organism_classificationAgronomyGerminationShoot040103 agronomy & agriculture0401 agriculture forestry and fisheriesElongationWeedAgronomy and Crop ScienceCropping010606 plant biology & botany
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Introduction of genotypic effects into Genesys-Rape : the example of height and male sterility

2005

Abstract The aim of this study was to introduce effects of rape genotypes on gene flow between rape populations into the existing GeneSys - Rape model and to simulate the influence of existing rapeseed cultivars on gene flow between rapeseed populations in time and in space. The GeneSys - Rape input variables are the regional field pattern, crop successions, cultivation techniques and genotype of cropped cultivars. The main output variables are, for each year and plot, the number of individuals per square meter and the genotype proportions in the harvest. Results comprised: (1) sensitivity analyses of the model to cultivar characteristics, which showed the importance of pollen emission on g…

0106 biological sciencesRapeseedFLUX DE GENEBiologymedicine.disease_cause01 natural sciencesGene flowCropPollenGenotypemedicineCultivarCropping systemCOLZAComputingMilieux_MISCELLANEOUS[SDV.EE]Life Sciences [q-bio]/Ecology environmentEcologyfood and beverages04 agricultural and veterinary sciences[SDV.EE] Life Sciences [q-bio]/Ecology environmentAgronomy040103 agronomy & agriculture0401 agriculture forestry and fisheriesAnimal Science and ZoologyAgronomy and Crop ScienceCropping010606 plant biology & botany
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Using the GENESYS model quantifying the effect of cropping systems on gene escape from GM rape varieties to evaluate and design cropping systems.

2004

Gene flow in rapeseed is a process taking place both in space and over the years and cannot be studied exclusively by field trials. Consequently, the GENESYS model was developed to quantify the effects of cropping systems on transgene escape from rapeseed crops to rapeseed volunteers in neighbour plots and in the subsequent crops. In the present work, this model was used to evaluate the risk of rape harvest contamination by extraneous genes in various farming systems in case of co-existing GM, conventional and organic crops. When 50 % of the rape varieties in the region were transgenic, the rate of GM seeds in non-GM crop harvests on farms with large fields was lower than the 0.9 % purity t…

0106 biological sciencesRapeseedFLUX DE GENElcsh:TP670-699Biologycropping system01 natural sciencesBiochemistryCrop[SDV.IDA]Life Sciences [q-bio]/Food engineeringAGRONOMIECropping systemCover cropCOLZAComputingMilieux_MISCELLANEOUS2. Zero hungermodelbusiness.industryoilseed rape GM cropscoexistencefood and beveragesSowing04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineeringBiotechnologyAgronomyAgriculture040103 agronomy & agricultureOrganic farming0401 agriculture forestry and fisherieslcsh:Oils fats and waxesgene flowbusinessCropping010606 plant biology & botanyFood Science
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Downscaling rice yield simulation at sub-field scale using remotely sensed LAI data

2019

Abstract Crop modeling and remote sensing are key tools to gain deeper understanding on cropping system dynamics and, ultimately, to increase the sustainability of agricultural productions. This study presents a system to estimate rice yields at sub-field scale based on the integration of a biophysical model and remotely sensed products. Leaf area index (LAI) data derived from decametric optical imageries (i.e., Landsat-8, Landsat-7 and Sentinel–2A) were assimilated into the WARM rice model via automatic recalibration of crop parameters at a fine spatial resolution (30 m × 30 m), targeting the lowest error between simulated and remotely sensed LAI. The performance of the system was evaluate…

0106 biological sciencesSoil SciencePlant Science01 natural sciencesYield (wine)WARM modelCrop modelLeaf area indexCropping systemDecision support systemRemote sensing2. Zero hungerCrop yieldYield predictions04 agricultural and veterinary sciencesRemote sensing15. Life on landAgronomyData assimilation040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental sciencePrecision agricultureScale (map)Agronomy and Crop ScienceCropping010606 plant biology & botanyDownscalingEuropean Journal of Agronomy
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Mediterranean forage legumes grown alone or in mixture with annual ryegrass: biomass production, N2 fixation, and indices of intercrop efficiency

2016

Aims: To evaluate the productivity and N2 fixation of a range of Mediterranean forage legume species as well as their ability to be grown in mixture with a forage grass, and to verify whether N transfer occurs from the legume to the non-legume component of the mixtures and, if so, to what extent this process is affected by legume species. Methods: Seven legume species (Hedysarum coronarium L., Medicago scutellata L., Trifolium resupinatum L., Trifolium squarrosum L., Trigonella foenum-graecum L., Vicia sativa L., Vicia villosa Roth) were grown alone or in mixture with annual ryegrass (Lolium multiflorum L.). Biomass and N yields and biological N2 fixation (15N dilution technique) were measu…

0106 biological sciencesSullaVicia sativaFenugreek15N-isotope techniqueSoil ScienceForagePlant Science01 natural sciencesLegumeBiomass (ecology)biologyIntercropping04 agricultural and veterinary sciencesLolium multiflorumbiology.organism_classificationSettore AGR/02 - Agronomia E Coltivazioni ErbaceeTrifolium resupinatumPersian cloverVicia villosaAgronomy040103 agronomy & agricultureHairy vetch0401 agriculture forestry and fisheriesSquarrosum cloverIntercrop010606 plant biology & botanySnail medick
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Long-term modelling of weed control strategies: analysis of threshold-based options for weed species with contrasted competitive abilities

2002

A simple life-cycle-based demography model was adapted for two contrasting weed species (Alopecurus myosuroides and Poa annual. This model included a seed production function that accounted for population self-regulation through weed:weed interactions. The A. myosuroides version of the model was tested with field data. Long-term simulations of population demography were then performed to investigate the relationship between weed control strategies based on density thresholds and both the frequency of herbicide use and the long-term economic profitability. This study confirms that threshold-based weed management strategies are more cost-effective than spraying every year and may allow import…

0106 biological sciencesThreshold limit valuePopulationPlant Science01 natural sciencesVULPIN[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyProduction (economics)[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyeducationComputingMilieux_MISCELLANEOUSEcology Evolution Behavior and SystematicsMathematics2. Zero hungereducation.field_of_studybiologyEcologyAlopecurus myosuroides04 agricultural and veterinary sciencesPATURINWeed controlbiology.organism_classificationAgronomy040103 agronomy & agriculture0401 agriculture forestry and fisheriesProfitability indexDENSITE-DEPENDANCEWeedAgronomy and Crop ScienceCropping010606 plant biology & botanyWeed Research
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Variations spatiales et temporelles des communautés adventices des cultures annuelles en France

2007

Although arable weed species are particularly well adapted to habitats characterised by high levels of disturbance(ploughing, harvest), the degree and rate at which agro-ecosytems have been transformed in the last 50 years in Europe(use of chemicals, changes in crop rotations) has led to profound changes in the composition and diversity of arable weedcommunities. This thesis provides an update on the composition and diversity of weed communities that can be foundacross the main crop types and regions of France. It also addresses two objectives i) applying (community) ecologytheories for the analysis and interpretation of spatial and temporal variations in weed communities and ii) using the …

0106 biological sciences[SDE] Environmental Sciences[SDV]Life Sciences [q-bio]specialistsspecies turnovercommunauté.CommunityPlant Science01 natural sciencesVALEURS INDICATRICES D'ELLENBERGarable weedCOMMUNAUTEplant functional typespecies richnessBIOVIGILANCE FLOREfield margins[SDV.EE]Life Sciences [q-bio]/Ecology environmentabundancediversité fonctionnelleGENERALISTESflora shifts04 agricultural and veterinary sciencesfunctional diversityBORD DE CHAMPGROUPE FONCTIONNEL[SDV] Life Sciences [q-bio][SDV.EE] Life Sciences [q-bio]/Ecology environmentGeographyADVENTICESNICHE ECOLOGIQUEfrequency[SDE]Environmental SciencesSPECIALISTESTURNOVERrichesse spécifiquegeneralistsniche écologiqueCHANGEMENT DE FLORE010603 evolutionary biologyEllenberg indicator valuesABONDANCERICHESSE SPECIFIQUEniche breadthfréquencecropping practices changesFREQUENCECHANGEMENT DE TECHNIQUES CULTURALESDIVERSITE FONCTIONNELLEgénéralistes040103 agronomy & agriculture0401 agriculture forestry and fisheriesspécialistesTRAITS BIOLOGIQUES
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Comparative study of the efficiency of buffer zones and harvest discarding on gene flow containment in oilseed rape. A modelling approach

2009

International audience; Oilseed rape (OSR) genes can escape fields in space via pollen and seeds and in time via volunteers resulting from seeds lost before or during oilseed rape harvests. Previous simulation studies and field observations showed that co-existence at the landscape level of contrasting OSR varieties such as genetically modified (GM) and non-GM varieties require costly measures that are difficult to implement, such as isolation distances between OSR fields and stringent volunteer control in all fields and road margins. In the present study, two local strategies, non-GM buffer zones aroundGMfields and discarding the harvest of boundary plants of non-GM fields, were tested in …

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesBuffer zoneSoil ScienceHARVEST DISCARDINGPlant Sciencemedicine.disease_cause01 natural sciencesGene flowLandscape levelPollenmedicineGENE FLOWCropping systemBUFFER ZONECOLZAMathematics2. Zero hungerGMOCO-EXISTENCESimulation modeling04 agricultural and veterinary sciences15. Life on landPollen dispersalMODELAgronomy040103 agronomy & agriculture0401 agriculture forestry and fisheriesAgronomy and Crop ScienceCropping010606 plant biology & botany
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