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Climate change is a pressing issue requiring bold innovations using an integrated and systematic approach. As part of the CGIAR Webinar Series for the International Year of Plant health 2020 a webinar took place in 2021 entitled ‘Climate change and plant health: impact, implications, and the role of research for adaptation and mitigation’. The purpose of this paper is to share the discussions of the webinar and to show how CGIAR, working closely with partners, can contribute to better management of plant health in a climate crisis. The global research community has an enormous opportunity to collaborate on innovations, partnerships, capacity development and policy engagement to scale up solutions for plant health and agricultural resilience in a climate crisis, embedded within social and economic frameworks. Key action points were identified related to surveillance, big data and predictive models; integrated pest management (IPM) tools; a new paradigm for research to deliver end-to-end, sustainable solutions; fostering of an enabling environment; gender research; delivery of research at ecosystem and landscape scale through bundling and digital tools; and leveraging partnerships, including with the private sector. Through leveraging collaboration opportunities embedded within social and economic frameworks, the global research community has to scale up solutions for plant health and agricultural resilience under a changing climate.

An improvement of the Davydov’s model for energy transfer in α -helix protein is proposed. Using hyperbolic cosine potential type to model hydrogen bond potential, we have obtained from the adiabatic approximation, a discrete nonlinear Schrödinger equation with inverse hyperbolic sine nonlinearity. Using the two-dimensional discrete map approach, we have found a linearly stable intrinsic localized mode of the corresponding developed equation. Mobility of the intrinsic localized mode was achieved by moving the local impurity hypothesized as the anomalous band energy. The reactivity of the discrete breather under thermal noise was studied numerically with the Langevin’s approach. It was shown that the intrinsic localized mode in the developed model keep its shape longer under thermal bath. [ABSTRACT FROM AUTHOR]