Evidence map›Paper›PMID 34160881›Full record

ArticleIntegrated environmental assessment and management2022

Introducing ground cover management in pesticide emission modeling.

Céline Gentil-Sergent, Claudine Basset-Mens, Christel Renaud-Gentié, Charles Mottes, Carlos Melero, Arthur Launay, Peter Fantke

Open access · hybridAbstract read
In one paragraph

Article in Integrated environmental assessment and management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 14 citations in OpenAlex.

  1. A life cycle risk assessment of nanopesticides in freshwater.Environmental science and ecotechnology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Céline Gentil-SergentCIRAD, HortSys, University of Montpellier, Montpellier, France.ORCID http://orcid.org/0000-0001-7301-1243
Claudine Basset-MensCIRAD, HortSys, University of Montpellier, Montpellier, France.
Christel Renaud-GentiéUSC GRAPPE, ESA-INRAe, Angers, France.
Charles MottesCIRAD, HortSys, University of Montpellier, Montpellier, France.
Carlos MeleroQuantitative Sustainability Assessment, Department of Technology, Management and Economics, Technical University of Denmark, Produktionstorvet Kongens Lyngby, Denmark.ORCID http://orcid.org/0000-0001-7771-6419
Arthur LaunayCIRAD, HortSys, University of Montpellier, Montpellier, France.
Peter FantkeQuantitative Sustainability Assessment, Department of Technology, Management and Economics, Technical University of Denmark, Produktionstorvet Kongens Lyngby, Denmark.
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRTechnical University of Denmark · DKÉcole supérieure des agricultures · FR

Funding

Agence de l`Environnement et de la Maîtrise de l`Energie 17-03-C0025Agence de l`Environnement et de la Maîtrise de l`Energie 17MAC0038European Commission 862568European Commission 863059European Regional Development Fund MQ0003772-CIRAD
6 · The paper itself

Abstract

Ground cover management (GCM) is an important agricultural practice used to reduce weed growth, erosion and runoff, and improve soil fertility. In the present study, an approach to account for GCM is proposed in the modeling of pesticide emissions to evaluate the environmental sustainability of agricultural practices. As a starting point, we include a cover crop compartment in the mass balance of calculating initial (within minutes after application) and secondary (including additional processes) pesticide emission fractions. The following parameters were considered: (i) cover crop occupation between the rows of main field crops, (ii) cover crop canopy density, and (iii) cover crop family. Two modalities of cover crop occupation and cover crop canopy density were tested for two crop growth stages, using scenarios without cover crops as control. From that, emission fractions and related ecotoxicity impacts were estimated for pesticides applied to tomato production in Martinique (French West Indies) and to grapevine cultivation in the Loire Valley (France). Our results demonstrate that, on average, the presence of a cover crop reduced the pesticide emission fraction reaching field soil by a factor of 3 compared with bare soil, independently of field crop and its growth stage, and cover crop occupation and density. When considering cover exported from the field, ecotoxicity impacts were reduced by approximately 65% and 90%, compared with bare soil for grapevine and tomato, respectively, regardless of the emission distribution used. Because additional processes may influence emission distributions under GCM, such as runoff, leaching, or preferential flow, further research is required to incorporate these processes consistently in our proposed GCM approach. Considering GCM in pesticide emission modeling highlights the potential of soil cover to reduce pesticide emissions to field soil and related freshwater ecotoxicity. Furthermore, the consideration of GCM as common farming practice allows the modeling of pesticide emissions in intercropping systems. Integr Environ Assess Manag 2022;18:274-288. © 2021 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).

Indexed as

PesticidesSoil PollutantsAgricultureCrops, AgriculturalSoilPesticidesSoilSoil PollutantsActive ingredientCover cropEnvironmental modelingFarming practicesLife cycle assessment

Identifiers

PMID34160881
PMCPMC9291296
OpenAlexW3173612322

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.