Towards an Integrated <i>Orobanche</i> Management: Understanding Farmers’ Decision-Making Processes Using a Discrete Choice Experiment
Controlling the <i>Orobanche</i> weed parasite is a major challenge for farmers, and the individual application of various management practices has not yet proven to be successful in addressing this issue. To develop an effective strategy for managing this parasitic weed, an Integrated &...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Agronomy |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4395/15/1/219 |
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Summary: | Controlling the <i>Orobanche</i> weed parasite is a major challenge for farmers, and the individual application of various management practices has not yet proven to be successful in addressing this issue. To develop an effective strategy for managing this parasitic weed, an Integrated <i>Orobanche</i> Management (IOM) approach has become a priority. Using a Discrete Choice Experiment (DCE) methodology, we analyze the trade-off in farmers’ preferences between different attributes of IOM scenarios and estimate their willingness to pay (WTP). A sample of 124 Tunisian faba bean farmers participated in the study. The findings indicate that Tunisian farmers are open to adopt an IOM that includes <i>Orobanche</i>-tolerant faba bean varieties, and that the cost of technical package does not seem to be an obstacle. Nevertheless, farmers feel to be rewarded for delaying the sowing date from November to December. Furthermore, the study highlights that farmers show no clear preferences for the use of herbicide, specifically glyphosate, as well as for the practice of intercropping with fenugreek. While increasing faba bean yields remains a priority, farmers are willing to pay more for IOM scenarios that reduce the <i>Orobanche</i> plant shoot count. In conclusion, there is significant heterogeneity in farmers’ preferences, their financial situation, and the severity of <i>Orobanche</i> infestation significantly influencing their decision. Policy recommendations are derived from our results. |
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ISSN: | 2073-4395 |