Next generation agricultural system models and knowledge products: Synthesis and strategy

The purpose of this Special Issue of Agricultural Systems is to lay the foundation for the next generation of agricultural systems data, models and knowledge products. In the Introduction to this Special Issue, we described a vision for accelerating the rate of agricultural innovation and meeting the growing global need for food and fiber. In this concluding article of the NextGen Special Issue we synthesize insights and formulate a strategy to advance data, models, and knowledge products that are consistent with this vision. This strategy is designed to facilitate a transition from the current, primarily supply-driven approach toward a more demand-driven approach that would address key Use Cases where better data, models and knowledge products are seen by end-users as essential to meet their needs.

[1]  John M. Antle,et al.  Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology , 2017, Agricultural systems.

[2]  B. Walsh,et al.  Models for navigating biological complexity in breeding improved crop plants. , 2006, Trends in plant science.

[3]  John M. Antle,et al.  Representative Agricultural Pathways and Scenarios for Regional Integrated Assessment of Climate Change Impacts, Vulnerability, and Adaptation , 2015 .

[4]  James W. Jones,et al.  The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and Pilot Studies , 2013 .

[5]  James W. Jones,et al.  A Gene‐Based Model to Simulate Soybean Development and Yield Responses to Environment , 2006 .

[6]  John M. Antle,et al.  The Agricultural Model Intercomparison and Improvement Project: Phase I Activities by a Global Community of Science. Chapter 1 , 2015 .

[7]  M. Donatelli,et al.  Modelling the impacts of pests and diseases on agricultural systems , 2017, Agricultural systems.

[8]  John M. Antle,et al.  Next generation data systems and knowledge products to support agricultural producers and science-based policy decision making , 2017, Agricultural systems.

[9]  C. Rosenzweig,et al.  Assessing Impacts of Climate Change on Food Security Worldwide , 2015 .

[10]  C. Tebaldi,et al.  Climate Change, Global Food Security, and the U.S. Food System , 2015 .

[11]  James W. Jones,et al.  Towards a new generation of agricultural system data, models and knowledge products: Design and improvement , 2017, Agricultural systems.

[12]  Jeffrey W. White,et al.  Crop response to climate: ecophysiological models , 2010 .

[13]  John M. Antle,et al.  Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science , 2017, Agricultural systems.