Group Photo of the December 2016 AgMIP-Rice Team Meeting
The AgMIP research approach includes two tracks of activities. Track one focuses on model intercomparison and improvement for calibrating and evaluating models for use in different regions and crops. Track two encompasses multi-model assessments of climate change effects on food production and food security at regional to global scales. As part of the Track One initiatives, the AgMIP-Rice crop modeling team has been holding periodic meetings to provide an opportunity for the international rice modeling community to come together and improve tools needed to model rice production for future sustainability.
Ken Boote, University of Florida, presenting at the AgMIP-Rice crop modeling team meeting being held December 1-3, 2016 in Nanjing, China
The latest AgMIP-Rice crop modeling meeting, December 1-3, 2016, was held in Nanjing, China and hosted by Professor Yan Zhu, Nanjing Agricultural University’s National Engineering and Technology Center for Information Agriculture in China (NETCIA).
Tao Li, Toshihiro Hasegawa, Yan Zhu, and Xinyou Yin lead the rice pilot team. Twenty-five scientists representing 16 rice models have already intercompared their models for response to CO2, temperature, rainfall, and other factors to identify the sources of prediction uncertainties. Activities at the meeting included review of results and papers on model intercomparisons against growth and yield data observed in FACE CO2 experiments in Japan and China, and against data observed in elevated temperature studies conducted in sunlit, controlled environment chambers. New topics included rice response to nitrogen fertilization, model predictions across multiple regions in Asia, and gene-based crop modeling.
Presentations and discussions during the meeting included “Sources of uncertainty in predicting rice growth and yield under elevated [CO2]: Testing multiple crop models against FACE and growth chamber experiments” by Toshi Hasegawa, a Japanese scientist with the Rice-FACE experiments and “Gene-based modeling with rice crop models” by Tao Li, crop modeler with IRRI. Ken Boote presented a draft paper on “Evaluating Multiple Rice Crop Models against Elevated Temperature Experiments”. Roberto Confalonieri, University of Milan, proposed new work on model-based ideotyping of cultivars for yield improvement. Liang Tang, Nanjing Agricultural University, presented proposed new work on critical nitrogen dilution curves for rice crop models. Participants included 15 international scientists, plus 15 local Nanjing Agricultural University post-doctorates and graduate students