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Content archived on 2024-05-15

Strategies of weed control in organic farming

Objective

The aim of the proposal is to optimise weed control in Organic Farming with the emphasis on how to grow winter wheat while aiding weed suppression by indirect measures of weed control rather than relying further on the development of physical weed control techniques. A core programme will focus on morphological features, row width and sowing direction, all of which influence the competitive ability for light. The efficiency of further weed control measures such as photocontrol, allelopathic effects etc. will be studied in field and laboratory trials. The elaborated strategies will be integrated in a decision support system that will be checked and demonstrated on pilot farms. It is attended that optimal site specific combination of weed control measures derived from the decision support system can significantly reduce the need for mechanical control thus saving fossile energy. Impacts on economics as well as EU policy will be analysed.

Fields of science (EuroSciVoc)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

CSC - Cost-sharing contracts

Coordinator

RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAET BONN
EU contribution
No data
Address
Katzenburgweg 3
53115 BONN
Germany

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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (4)

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