Search results for "Cropping system"

showing 10 items of 82 documents

Using present and past climosequences to estimate soil organic carbon and related physical quality indicators under future climatic conditions

2018

Abstract This research aimed at testing the use of present and past climosequences to estimate soil organic carbon (SOC) and related physical quality indicators under future climatic conditions. The influence of climate on soil features was studied for four combinations of typical Mediterranean soil types and cropping systems, placed along climosequences of the past (P1: 1961–1990), present (P2: 1981–2010) and future (P3: 2021–2050). The four test areas were located in Italy, each one characterized by the same soil typology and cropping system, placed on similar morphological position and parent material, wide enough to cross climatic boundaries. Legacy soil profiles that were sampled in th…

010504 meteorology & atmospheric sciencesSoil scienceSoil typeMediterranean01 natural sciencesClimate changeSoil quality indicator0105 earth and related environmental sciencesEcologySoil physicsSoil organic matterSoil chemistrySoil classification04 agricultural and veterinary sciencesSoil carbonSoil typeSoil qualitySettore AGR/14 - Pedologia040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSoil physicAnimal Science and ZoologySoil fertilityAgronomy and Crop ScienceCropping systemAgriculture, Ecosystems & Environment
researchProduct

AlomySys: Modelling black-grass (Alopecurus myosuroides Huds.) germination and emergence, in interaction with seed characteristics, tillage and soil …

2006

International audience; Weed emergence models are increasingly necessary to evaluate and design cropping systems. The model AlomySys was developed for a frequent and harmful weed, i.e. Alopecurus myosuroides Huds. [Colbach, N., Dürr, C., Roger-Estrade, J., Caneill, J., 2005a. How to model the effects of farming practices on weed emergence. Weed Res. 45, 2–17; Colbach, N., Dürr, C., Roger-Estrade, J., Chauvel, B., Caneill, J., 2005b. AlomySys: modelling blackgrass (Alopecurus myosuroides Huds.) germination and emergence, in interaction with seed characteristics, tillage and soil climate. I. Construction. Eur. J. Agronomy] and is based on sub-models predicting (a) soil environment (climate, s…

0106 biological sciencesAlopecurus myosuroides Huds[SDV]Life Sciences [q-bio]Soil ScienceGerminationPlant ScienceEmergence[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study01 natural sciencesTillageValidationDormancyCropping system2. Zero hungerbiologyAlopecurus myosuroidesSowing04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationWeedTillageSoil structureAgronomyGerminationSeedling040103 agronomy & agricultureEnvironmental science0401 agriculture forestry and fisheriesWeedAgronomy and Crop ScienceSimulation010606 plant biology & botanyModelCropping system
researchProduct

Response and effect traits of arable weeds in agro-ecosystems: a review of current knowledge.

2017

25 pages; International audience; Integrating principles of ecological intensification into weed management strategies requires an understanding of the many relationships among weeds, crops and other organisms of agro-ecosystems in a changing context. Extensively used during the last two decades in weed science, trait-based approaches have provided general insights into weed community response to agricultural practices, and recently to understanding the effect of weeds on agro-ecosystem functioning. In this review, we provide a holistic synthesis of the current knowledge on weed response and effect functional traits. Based on the literature and recent advances in weed science, we review cur…

0106 biological sciencesBiodiversity[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomyContext (language use)Plant Scienceagro-ecologyBiologyfunctional ecologycropping system010603 evolutionary biology01 natural sciencesecological intensificationEcology Evolution Behavior and Systematicsbiodiversity2. Zero hungerFunctional ecologyAgroforestrybusiness.industryEcology04 agricultural and veterinary sciences15. Life on landWeed controlAgriculture040103 agronomy & agricultureTrait0401 agriculture forestry and fisheries[SDE.BE]Environmental Sciences/Biodiversity and EcologyWeedbusinessAgronomy and Crop ScienceCropping
researchProduct

A preliminary approach for modelling the effects of cropping systems on the dynamics of broomrape ( Phelipanche ramosa) in interaction with the non-p…

2011

International audience; The current decrease in herbicide use may increase and diversify weed flora in crops as well as companion bioagressors spreading via weeds. Among these bioagressors is Phelipanche ramosa (L.) Pomel, a parastic plant which is very harmful on oilseed rape. The objective of the present work was to develop a new model (called PheraSys) of the effects of cropping systems on parasite dynamics, in interaction with non-parasitic weed hosts. The structure of this first model version was based on models developed for other parasitic plants and on FlorSys which quantifies the effects of cropping systems on non-parasitic weed flora. PheraSys was parametrized with preliminary val…

0106 biological sciencesFloraoilseed rapeParasitic plant[SDV]Life Sciences [q-bio]lcsh:TP670-699cropping system01 natural sciencesBiochemistryBrassica napus L[SDV.IDA]Life Sciences [q-bio]/Food engineering[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyCropping systemparasitic plantmodelbiologyHost (biology)broomrapePHELIPANCHE RAMOSA04 agricultural and veterinary sciencesbiology.organism_classification[SDV] Life Sciences [q-bio]Phelipanche ramosaAgronomyExpert opinion040103 agronomy & agriculture0401 agriculture forestry and fisherieslcsh:Oils fats and waxesWeedCroppingPhelipanche ramosa L PomelPhelipanche ramosa (L.) Pomel010606 plant biology & botanyFood Scienceweed
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

Sustainable production of fennel and dill by intercropping

2008

Intercropping is claimed to be one of the most significant cropping techniques in sustainable agriculture, and much research and many reviews attribute to its utilization a number of environmental benefits, from promoting land biodiversity to diversifying agricultural outcome. In this sense, intercropping is thought to be a useful means of minimizing the risks of agricultural production in many environments, including those typical of under-developed or marginal areas. In order to validate this hypothesis in a representative area of the semiarid Mediterranean environment, we evaluated the possibility of growing dill and fennel, both belonging to the family Apiaceae, in temporary intercroppi…

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesEnvironmental EngineeringfennelBiomassInteraction01 natural sciencesdillYield (wine)Anethum graveolens L.Cropping systemComputingMilieux_MISCELLANEOUSMathematics2. Zero hunger[SDV.EE]Life Sciences [q-bio]/Ecology environment[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesbiologybusiness.industryIntercropping04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationSettore AGR/02 - Agronomia E Coltivazioni Erbacee[SDV.EE] Life Sciences [q-bio]/Ecology environmentAgronomyAgricultureSemi-arid climatemedicinal and aromatic plant040103 agronomy & agriculture0401 agriculture forestry and fisheriesFoeniculum vulgare Mill.businessCroppingintercroppingAgronomy and Crop Science010606 plant biology & botany
researchProduct

Spatio-temporal pattern of Pentastiridius leporinus migration in an ephemeral cropping system

2010

International audience; * 1 Cixiid planthoppers (Hemiptera: Fulgoromorpha: Cixiidae) are considered to be important economic pests because of their ability to transmit phloem-restricted prokaryotes causing emerging plant diseases worldwide. However, little information is available on the biology and ecology of such species. This is the case for Pentastiridius leporinus (Linnaeus), a cixiid planthopper reported to live on common reed across Countries of Central and Northern Europe. However, in the east of France, the same planthopper species appears to complete its life cycle in the sugar beet-wheat cropping system and has been repeatedly shown to transmit prokaryotic plant pathogens that ar…

0106 biological sciences[SDV]Life Sciences [q-bio]WHEATCIXIIDAEPLANTHOPPERPENTASTIRUDIUS LEPORINUS01 natural sciencesCropPlanthopperCropping systemNymphSugarSYNDROME "BASSES RICHESSES"2. Zero hungerbiologyEcologyfungifood and beveragesForestry15. Life on landbiology.organism_classificationCixiidaeKRIGINGHemiptera010602 entomologyInsect ScienceEMERGING DISEASESugar beetGEOSTATISTICSAgronomy and Crop ScienceGEOGRAPHIC INFORMATION SYSTEM (GIS)SUGAR BEET010606 plant biology & botany
researchProduct