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This is a study of the parasitic weed, Striga, a frequent problem for smallholder farmers in South Africa. They used system dynamic modeling to assess the efficacy of various striga treatments (SCPs) across different seasons and agroecosystems in maize based cropping systems. Model simulations indicate that while a combination of SCPs are necessary to manage the weed, future research should focus on developing smallholder-adapted SCPs that address the attachment stage of the weed's lifecycle (e.g., timely manure application) rather than its germination, emergence or flowering stages. They conclude that it is imperative to develop decision support tools like systems models to evaluate SCPs for smallholders that help extension agents to provide correct information to farmers.