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Quantifying model-structure- and parameter-driven uncertainties in spring wheat phenology prediction with Bayesian analysis

  • Published:2017-08 Issue: Volume:88 Page:1-9
  • ISSN:1161-0301
  • Container-title:European Journal of Agronomy
  • language:en
  • Short-container-title:European Journal of Agronomy

Author:

Alderman Phillip D.,Stanfill Bryan

Funder

CGIAR Research Program on Climate Change, Agriculture and Food Security

National Science Foundation

Science and Industry Research Fund

Publisher

Elsevier BV

Subject

Plant Science,Soil Science,Agronomy and Crop Science

Reference40 articles.

1. Proceedings of the Workshop on Modeling Wheat Response to High Temperature,2013

2. Adapting the CSM-CROPGRO model for pigeonpea using sequential parameter estimation;Alderman;Field Crops Res.,2015

3. A methodology and an optimization tool to calibrate phenology of short-day species included in the APSIM PLANT model. Application to soybean;Archontoulis;Environ. Model. Softw.,2014

4. Uncertainty in simulating wheat yields under climate change;Asseng;Nat. Clim. Change,2013

5. Rising temperatures reduce global wheat production;Asseng;Nat. Clim. Change,2015

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