Search results for "Cropping"

showing 10 items of 150 documents

Analysis of the relationship between production situation drivers and cropping systems at the regional scale

2014

International audience

[SDE] Environmental Sciences[SDV]Life Sciences [q-bio][SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculturecropping systemsustainability[SHS]Humanities and Social Sciences[SDV] Life Sciences [q-bio]farming context[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biology[SHS] Humanities and Social SciencestypologyComputingMilieux_MISCELLANEOUS
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Reduction of nitrate leaching: what is the contribution of the residual weed flora?

2018

International audience; Integrated crop protection tolerates residual weeds if they are not harmful for crop production. Weeds are often solely considered as a pest, causing crop yield loss, harvest pollution, diseases … However, they may also provide beneficial services for agroecosystems, promoting plant biodiversity and feeding other organisms potentially beneficial to crop production (pollinators, carabids…). The role of residual weed flora as nitrate catchers, during summer fallow, has however rarely been assessed. Yet, some weed species are known for their high potential to take up soil nitrogen. The present study aimed to (1) develop an indicator to account for the potential benefici…

[SDE] Environmental Sciencesagroecology[SDV]Life Sciences [q-bio]funginitrate catcherfood and beveragesrespiratory systemcropping systemnitrate leachingparasitic diseases[SDE]Environmental Sciencesweeds[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyComputingMilieux_MISCELLANEOUS
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How to model crop-weed competition for soil resources: Connecting the STICS soil submodel to the FLORSYS weed dynamics model

2020

International audience

[SDE] Environmental Sciencescrop diversification[SDE]Environmental Scienceswatermulticriteria evaluationcropping systemcompetitionComputingMilieux_MISCELLANEOUSnitrogenweed
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Conception et évaluation de systèmes de culture innovants : le cas exemplaire de la Protection Intégrée contre la flore adventice

2009

Pas de résumé

[SDE] Environmental Sciencesevalutationevaluationinterdisciplinaritéévaluationflore adventiceexpérimentation ‘systèmes’[SDV]Life Sciences [q-bio]Integrated pest managementmodelingcropping systems'systems’ experimental methods[SDV] Life Sciences [q-bio]interdisciplinarity‘systems’ experimental methods[SDE]Environmental SciencesweedsProtection Intégréesystème de cultureévalutionmodélisation
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The role and management of crop-weed interactions in agroecological cropping systems

2020

International audience

[SDE] Environmental Sciencesmechanistic model[SDE]Environmental Sciencescrop-weed interactionspecies traitfunctional ecologycropping system designComputingMilieux_MISCELLANEOUS
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Simulation study of the effects of intensified crop management in genetically manipulated maize on arable weed flora and associated fauna

2014

International audience; Cultivation of GM crops with herbicide tolerance is mostly associated with changes in crop and weed management, like simplified rotations, simplified tillage and change from selective herbicides to the broadband glyphosate. All of these management practices decrease weed densities in crops and change their composition. Although weeds cause yield loss and harvest problems, they are an important part of arable biodiversity and offer food and habitat for different groups of animals. A simulation study was conducted to analyse indirect effects of intensified cropping in GM maize on biodiversity. The dynamic crop: weed model FlorSys was used to simulate weed densities and…

[SDE] Environmental Sciencesmodel[SDV]Life Sciences [q-bio]changes in agricultural practicescrop productioncropping system[SHS]Humanities and Social Sciences[SDV] Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biology[SHS] Humanities and Social Sciencesgenetically-modified (GM)biodiversityweed
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Adapting cropping system to delay herbicide resistance. A simulation study

2014

Weeds have evolved resistance to numerous herbicides, and their management becomes increasingly expensive and difficult. Here we (1) adapted the existing weed dynamics simulation model AlomSys to account for target-site resistance to acetyl-coenzyme A carboxylase (ACCase)-inhibiting herbicides in Alopecurus myosuroides by integrating wild and mutant target-site resistant (TSR) genotypes, mutations, fitness costs and seed immigration, and (2) ran simulations testing different crop management practices for their ability to delay resistance evolution and/or control of TSR plants. Simulations of an oilseed rape/winter wheat/winter barley rotation showed that TSR plants exceeded 1 plant/m² appro…

[SDE] Environmental Sciencesmodel[SDV]Life Sciences [q-bio]fungifitness costfood and beveragescropping system[SDV] Life Sciences [q-bio]Alopecurus myosuroidesherbicide resistance[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologymutationweed
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Assessing the effect of changes of agricultural practices accompanying herbicide-tolerant crops on agricultural biodiversity. A simulation study with…

2014

International audience

[SDE] Environmental Sciencesmodel[SDV]Life Sciences [q-bio]yield lossgenetically-modifiedcropping system[SHS]Humanities and Social Sciences[SDV] Life Sciences [q-bio][SDE]Environmental Sciencesherbicide resistance[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biology[SHS] Humanities and Social SciencesComputingMilieux_MISCELLANEOUSweedbiodiversity
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Ex Ante evaluation of gene flow in oilseed rape with cropping system models

2013

Chapitre 4; 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 harvest. When varieties co-exist, e.g. genetically-modified (GM) and non-GM varieties, this spatio-temporal gene flow can lead to the adventitious presence of GM seeds in non-GM harvests and thus cause financial losses for farmers and cooperatives. Gene flow depends on crop locations, succession, and management, as well as the location and management of semi-natural areas such as roadverges. The objective of this investigation was to present a simulation methodology using the spatially-explicit cropping system model GENESYS …

[SDE] Environmental Sciencesmodelcropping system modeloilseed rapegenesysrisk analysis[SDV]Life Sciences [q-bio]interactionlandscapecropping systemlabelling threshold[SDV] Life Sciences [q-bio]prospective scenariosvolunteers[SDE]Environmental Sciencesex ante evaluation[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologygene flow
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Combining expert knowledge and models in participatory workshops with farmers to design sustainable weed management strategies

2020

International audience; In order to design cropping systems reconciling cropproduction, biodiversity and reduced herbicide use, weorganized participatory workshops with farmers in theChampagne region (North-Eastern France). Methodscombined cropping-system prototyping by farmers, expertopinion and models. In a first meeting, farmers determinedtheir objectives and constraints, and chose areference system existing in one of their farms (oilseedrape/winter wheat/winter wheat/spring barley heavilyinfested by autumnal grass weeds). In a secondmeeting, two sets of prototypes were designed by twoseparate groups, using the Mission Ecophyt’eau® tool(https://ecophytopic.fr/pour-aller-plus-loin/outil-m…

[SDE] Environmental Sciencesmodeldesignprototyping[SDE]Environmental Sciencesparticipatory approachcropping system
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