Agricultural Activity concept for simulating strategic agricultural production decisions: Case study of weed resistance to herbicide treatments in South-West France

cg.contacthammouda.meriam@yahoo.comen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInternational Centre for Advanced Mediterranean Agronomic Studies, The Mediterranean Agronomic Institute of Montpellier - CIHEAM - IAMMen_US
cg.contributor.centerMontpellier SupAgro - SupAgroen_US
cg.contributor.centerInVivo AgroSolutionsen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.project-lead-instituteMontpellier SupAgro - SupAgroen_US
cg.coverage.countryFRen_US
cg.coverage.regionWestern Europeen_US
cg.date.embargo-end-date2022-10-19en_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.compag.2018.09.036en_US
cg.isijournalISI Journalen_US
cg.issn0168-1699en_US
cg.journalComputers and Electronics in Agricultureen_US
cg.subject.agrovocmathematical programmingen_US
cg.subject.agrovocBarleyen_US
cg.subject.agrovocMaizeen_US
cg.subject.agrovocDurum Wheaten_US
cg.subject.agrovocSoft Wheaten_US
cg.volume155en_US
dc.contributorWery, Jacquesen_US
dc.contributorDarbin, Thierryen_US
dc.contributorBelhouchette, Hatemen_US
dc.creatorHammouda, Meriamen_US
dc.date.accessioned2019-01-21T20:18:25Z
dc.date.available2019-01-21T20:18:25Z
dc.description.abstractIn an uncertain socio-economic and climatic context, sustainable farming is a major challenge for farmers as well as for their agricultural advisors. It is therefore essential to develop a decision support tool (DST) that is likely to be useful to establish and evaluate new production strategies, in accordance with farm sustainability and environmental protection. This paper aims, by using the Agricultural Activity concept, to put forward and test a DST based on mathematical programming used to evaluate strategic production decisions, in conjunction with farmers and agricultural advisors. In the test case, the decisions concern the crop activities and their spatiotemporal combinations in order to reduce both the use of herbicides and the risk of weed resistance to herbicides in cereal-based production systems. Moreover, the DST considers the availability of the workforce during the crop cycle to determine the periods which are likely to require the most significant increase in comparison to the current situation. One scenario showing the current situation (Sc_baseline) and two alternative scenarios have been defined to address the weed-herbicide issue. The comparison of the scenario promoting soil tillage and the introduction of spring crops with Sc_Baseline has shown that the adoption of long-term rotations, the increase in winter crop frequency and the return to deep soil tillage have contributed to an increase in farmer income, total labor and water consumption by 7, 21 and 22% respectively. However, the intensity of pesticide use and nitrate fertilization have dropped by 15% and 17% respectively. By allowing the farmer to establish specific contracts for certain crops, the average income as well as the use of pesticide and nitrate fertilization were increased by at least 10%. This situation is the result of a simplification of rotations with a predominance of winter cereals and the elimination of deep soil tillage. The analysis of these scenarios shows that the use of the DST has made it possible not only to put forward and evaluate alternatives that result in strategic decisions but also to understand, with the concept of Agricultural Activity, the biophysical and technical processes relating to farmer decisions and their impacts at field and farm level. Understanding and sharing this functional chain at farm level is expected to strengthen the farmer-advisor relationship in order to address the complex challenges of farming system sustainability.en_US
dc.formatPDFen_US
dc.identifierhttps://www.sciencedirect.com/science/article/pii/S0168169917311626?via%3Dihuben_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/c40ef9e50744dad50324135b7228040d/v/c7e0fb73d692d52a45616c2b6d54c854en_US
dc.identifier.citationMeriam Hammouda, Jacques Wery, Thierry Darbin, Hatem Belhouchette. (1/12/2018). Agricultural Activity concept for simulating strategic agricultural production decisions: Case study of weed resistance to herbicide treatments in South-West France. Computers and Electronics in Agriculture, 155, pp. 167-179.en_US
dc.identifier.statusLimited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/9298
dc.languageenen_US
dc.publisherElsevier (12 months)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceComputers and Electronics in Agriculture;155,(2018) Pagination 167-179en_US
dc.subjectstrategic decisionsen_US
dc.subjectweed resistanceen_US
dc.subjectdsten_US
dc.subjectactivity concepten_US
dc.titleAgricultural Activity concept for simulating strategic agricultural production decisions: Case study of weed resistance to herbicide treatments in South-West Franceen_US
dc.typeJournal Articleen_US
dcterms.available2018-10-19en_US
dcterms.extent167-179en_US
dcterms.issued2018-12-01en_US
mel.impact-factor2.427en_US

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