Person:
Friedmann, M.

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Friedmann
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Friedmann, M.
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0000-0001-9109-4003

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2018 - 20192
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    Exploring opportunities around climate-smart breeding for future food and nutrition security
    (CGIAR Research Program on Climate Change Agriculture and Food Security (CCAFS), 2019) Balié, J.; Cramer, L.; Friedmann, M.; Gotor, E.; Jones, C.S.; Kozicka, M.; Kruseman, G.; Notenbaert, A.; Place, F.; Rebolledo, C.; Thornton, P.; Wiebe, K.
    Foresight activities that include participatory processes as well as careful analysis can help address the great uncertainties concerning the future of food systems and the role of crop and livestock breeding. There would be big benefits to designing and carrying out a process to develop and support a value proposition for future CGIAR breeding activities. More multi-disciplinary team approaches are needed to work on trait prioritization for CGIAR and partners, embedded within a systems approach. Participatory methods to characterize stakeholders’ needs and preferences are crucial to ensure that new varieties fulfil their expectations in highly dynamic market environments.
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    A framework for priority-setting in climate smart agriculture research
    (Elsevier, 2018) Thornton, P.; Whitbread, A.; Baedeker, T.; Cairns, J.E.; Claessens, L.; Baethgen, W.; Bunn, C.; Friedmann, M.; Giller, K.E.; Herrero, M.; Howden, M.; Kilcline, K.; Nangia, V.; Ramirez-Villegas, J.; Shalander Kumar; West, P.C.; Keating, B.
    Climate-smart agriculture (CSA) is widely promoted as an approach for reorienting agricultural development under the realities of climate change. Prioritising research-for-development activities is crucial, given the need to utilise scarce resources as effectively as possible. However, no framework exists for assessing and comparing different CSA research investments. Several aspects make it challenging to prioritise CSA research, including its multi-dimensional nature (productivity, adaptation and mitigation), the uncertainty surrounding many climate impacts, and the scale and temporal dependencies that may affect the benefits and costs of CSA adoption. Here we propose a framework for prioritising agricultural research investments across scales and review different approaches to setting priorities among agricultural research projects. Many priority-setting case studies address the short- to medium-term and at relatively local scales. We suggest that a mix of actions that span spatial and temporal time scales is needed to be adaptive to a changing climate, address immediate problems and create enabling conditions for enduring change.
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