343-2Development of Model to Predict Yield of Miscanthus Using Monthly Climate Change Datasets.
See more from this Division: ASA Section: Climatology & ModelingSee more from this Session: Agroclimatology and Agronomic Modeling. II. Crop Growth Models and Instrumentation.
Wednesday, October 24, 2012: 8:30 AM
Duke Energy Convention Center, Room 264, Level 2
Miscanthus has been widely studied for production of renewable energy because of its high yield potential.
It is also advantageous to produce biofuels using miscanthus because it is not a food crop. In Europe and U.S.,
physiological characteristics of miscanthus have been studied and crop models have been developed to predict growth and yield
of miscanthus. These models are mostly dependent on daily weather data inputs, which makes it challenging to
make spatial prediction of Miscanthus yields under climate change. A simple model was developed to
predict yield of miscanthus using monthly climate grids as inputs because such monthly data have been used for
spatial modelling in a GIS. In this study where Miscanthus yield was predicted in Asia, the simple model indicated that
high yield would be attainable in Korea and southern Japan. Areas near Vladivostok, Russia also have relatively high yield
potential for miscanthus. Low yield of miscanthus was predicted in continental regions in East Asia including
northern China and Mongolia under current climate conditions. However, under climate change conditions, yield potential of
miscanthus tend to increase in those continental regions.
See more from this Division: ASA Section: Climatology & ModelingSee more from this Session: Agroclimatology and Agronomic Modeling. II. Crop Growth Models and Instrumentation.