From genes to policy: mission-oriented governance of plant-breeding research and technologies

Abstract

Mission-oriented governance of research focuses on inspirational, yet attainable goals and targets the sustainable development goals through innovation pathways. We disentangle its implications for plant breeding research and thus impacting the sustainability transformation of agricultural systems, as it requires improved crop varieties and management practices. Speedy success in plant breeding is vital to lower the use of chemical fertilizers and pesticides, increase crop resilience to climate stresses and reduce postharvest losses. A key question is how this success may come about? So far plant breeding research has ignored wider social systems feedbacks, but governance also failed to deliver a set of systemic breeding goals providing directionality and organization to research policy of the same. To address these challenges, we propose a heuristic illustrating the core elements needed for governing plant breeding research: Genetics, Environment, Management and Social system (GxExMxS) are the core elements for defining directions for future breeding. We illustrate this based on historic cases in context of current developments in plant phenotyping technologies and derive implications for governing research infrastructures and breeding programs. As part of mission-oriented governance we deem long-term investments into human resources and experimental set-ups for agricultural systems necessary to ensure a symbiotic relationship for private and public breeding actors and recommend fostering collaboration between social and natural sciences for working towards transdisciplinary collaboration.

The causal arrows ̶ from genotype, environment and management to plant phenotype ̶ are double headed

“…Depending on the focus of research, management (M) can be made explicit in a G × E × M model (Cooper et al, 2020;Hajjarpoor et al, 2022;Stöckle and Kemanian, 2020), or can be embedded in the environment as most practices, such as irrigation and fertilisation, seek to modify the environment. An extended G × E × M × S framework incorporates social factors S (Gerullis et al, 2023;Kholová et al, 2021).…”