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The socio-economic challenges of managing pathogen evolution in agriculture.

A G GeffersaJeremy J BurdonS MacfadyenPeter H ThrallSusan SpragueLuke G Barrett
Published in: Philosophical transactions of the Royal Society of London. Series B, Biological sciences (2023)
Genetic resistance forms the foundation of infectious disease management in crops. However, rapid pathogen evolution is causing the breakdown of resistance and threatening disease control. Recent research efforts have identified strategies for resistance gene deployment that aim to disrupt pathogen adaptation and prevent breakdown. To date, there has been limited practical uptake of such strategies. In this paper, we focus on the socio-economic challenges associated with translating applied evolutionary research into scientifically informed management strategies to control pathogen adaptation. We develop a conceptual framework for the economic valuation of resistance and demonstrate that in addition to various direct benefits, resistance delivers considerable indirect and non-market value to farmers and society. Incentives for stakeholders to engage in stewardship strategies are complicated by the uncertain timeframes associated with evolutionary processes, difficulties in assigning ownership rights to genetic resources and lack of governance. These interacting biological, socio-economic and institutional complexities suggest that resistance breakdown should be viewed as a wicked problem, with often conflicting imperatives among stakeholders and no simple cause or solution. Promoting the uptake of scientific research outcomes that address complex issues in sustainable crop disease management will require a mix of education, incentives, legislation and social change. This article is part of the theme issue 'Infectious disease ecology and evolution in a changing world'.
Keyphrases
  • infectious diseases
  • genome wide
  • healthcare
  • candida albicans
  • climate change
  • smoking cessation
  • mental health
  • gene expression
  • public health
  • transcription factor
  • quantum dots
  • antiretroviral therapy