Search results for "Cropping system"

showing 10 items of 82 documents

Highlighting the role of diversity in driving weed dynamics and weed-crop interactions

2017

EAGESTAD INRA; Weeds are responsible for crop losses and their management, mainly through herbicide applications, has led to resistances and environmental impacts. Integrated Weed Management encourages the use of “many little hammers” such as crop rotation, mechanical weeding, stale seedbed technique and delayed sowing … i.e. more complex and diversified cropping systems, in order to increase cropping system sustainability. However, research is still required to test the effectiveness of combinations of these alternative tactics in a wide range of agricultural contexts. Furthermore, the cropping system approach considers all these individual hammers, whose effects on agricultural weeds have…

[SDV] Life Sciences [q-bio][ SDV ] Life Sciences [q-bio][SDV]Life Sciences [q-bio]yield lossfunctional traitscropping systemweed diversitydiversity of cropping practices
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Identification of sustainable cropping systems with high multi-sector performances

2014

International audience; Multicriteria assessment is needed to identify promising cropping systems with good performances on different components of sustainability. Some trade-offs between criteria may occur. A better knowledge about the relationship between criteria can help (i) to ide ntify cropping systems with high multi-sector performances (e.g. Castoldi et al., 2010; Firbank et al., 2013), and (ii) to guide policy makers’choices. In this paper, we present the early results from our multi-sector evaluation performed on data collected on cropping systems experiments.

[SDV] Life Sciences [q-bio][SDE] Environmental Sciences[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agricultureintegrated crop managementcropping systemsustainabilityreferencemulticriteria assessmentComputingMilieux_MISCELLANEOUS
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Ecologie des bactéries dénitrifiantes du sol en relation avec les émissions de N2O

2014

[SDV] Life Sciences [q-bio][SDE] Environmental Sciences[SDV]Life Sciences [q-bio]emissions de N2O[SDE]Environmental Sciencesland-use[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologycropping systemsbiodiversite microbienneservice écosystémique
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First results of weed evolution in no tillage systems in winter wheat in France

2013

International audience; The adoption of no-tillage is presently a strong trend in Europe. If this cropping system is to be widely adopted in the 1980s in the North and South America, in Australia, no tillage is used by few farmers in France where agriculture and tillage are considered synonymous by farmers and agronomists. Weed infestation is generally described as to increase when the selection pressure due to soil tillage is reduced. The European strengthened regulations on herbicide used and the ban of transgenic crop in France does not facilitate the development of non-tillage. This communication presents the first results on the evolution of weed communities on farmer’s fields in East …

[SDV] Life Sciences [q-bio][SDE] Environmental Sciences[SDV]Life Sciences [q-bio]weed evolution[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biology[SHS] Humanities and Social Sciencescropping systemfrancewinter wheat[SHS]Humanities and Social Sciences
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Changing agricultural practices modifies the species and trait composition of the weed flora. A simulation study using a model of cropping system eff…

2012

International audience; Cropping systems change to adapt to socio-economical and environmental constraints (e.g. simplified tillage) and to profit from technological innovations (e.g. genetically-modified crops). These changes can result in unexpected side-effects which are difficult to determine in fields. The objective of the present study was to use a model, FLORSYS, to evaluate such impacts ex ante on weeds. FLORSYS quantifies the effects of crop succession, management techniques and climate on multi-specific weed dynamics over the years; it was parameterized with functional relationships predicting model parameters (e.g. seed mortality) from species traits (e.g. seed coat thickness). C…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencescropping systems simulation species traits modelmodel[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologycropping systemsimulationspecie trait
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Impact des systèmes de culture en protection intégrée contre les adventices sur l'intensité des émissions de N2O par les sols

2013

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesdenitrificationnitrous oxidegreenhouse gas[SDV]Life Sciences [q-bio][SDE]Environmental Sciencesmicrobial communities[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologycropping systemnitrification
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How does reduced herbicide use affect biodiversity and crop production?

2014

International audience

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesfarming context[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologytypologycropping systemsustainabilityComputingMilieux_MISCELLANEOUS
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Changing agricultural practices modifies the species and trait composition of the weed flora. A simulation study using a cropping system model

2013

International audience; Cropping systems change over time to adapt to socio-economical and environmental constraints and to profit from technological innovations. These changes can result in unexpected side-effects which are difficult to determine in fields. The objective of the present study was to use a cropping system model to evaluate the impacts of modified agricultural practices ex ante on weeds. The FLORSYS model quantifies the effect of crop succession, management techniques and climate on multi-specific weed dynamics over the years; it was parameterized with functional relationships predicting model parameters (e.g. pre-emergent seedling mortality) from species traits (e.g. seed ma…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesfunctional relationshipmodel[SDV]Life Sciences [q-bio][SDE]Environmental SciencesRLQ-analysis[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologylife-history traitcropping systemweed
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Cropping systems for driving biological regulation of weeds. A simulation study of seed predation by carabids

2018

International audience; Weed seed predation by carabid beetles (Coleoptera, Carabidae) may contribute to weed control in crop fields but to date, evidence of weed regulation by carabids is scarce. Predation rates are driven by several factors (crop management techniques, habitat quality, pedoclimate, and carabids’ seasonal dynamics). Models are needed to evaluate the impact of weed seed predation on multi-annual weed dynamics, and thus on crop production and weed biodiversity. We developed a predation model which was added to an existing weed dynamics model (FlorSys, Colbach et al., 2014). The model was built from available literature and experimental data. It simulates the effects on daily…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesmodel[SDV]Life Sciences [q-bio][SDE]Environmental Sciencesbiological regulation[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologypredationcropping system
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Changing agricultural practices modify the species and trait composition of the weed flora. A simulation study using a cropping system model

2012

International audience

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesmodel[SDV]Life Sciences [q-bio]history-life trait[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyweed cropping system history-life trait simulation modelcropping systemsimulationComputingMilieux_MISCELLANEOUSweed
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