Identifying key process parameters in a sink-source interaction model for energy crops

C2 - Non-edited contributions to conferences

Richter, G. M., Dailey, A. G. and Riche, A. B. 2010. Identifying key process parameters in a sink-source interaction model for energy crops. Abstracts Agro 2010: the 11th ESA Congress, Montpellier, 29 August-3 September 2010 . pp. 97-98

AuthorsRichter, G. M., Dailey, A. G. and Riche, A. B.
TypeC2 - Non-edited contributions to conferences
Abstract

The ‘design’ of novel crops or the selection of new ideotypes is particularly relevant for bioenergy crops because these are often less well known with regard to their growth potential and environmental demands. We, therefore, developed a generic growth model, which integrates developmental, morphological and physiological processes and which we first applied to Miscanthus giganteus, a popular biomass crop. Many of the pheno-morphological and physiological parameters of these C4 grasses are known, and we aimed to rank the model parameters for their relative importance using a global sensitivity analysis and thus aide the selection and breeding process. The purpose of this paper is to briefly describe the key principles of this model, which is based on these two parameter groups, and to discuss the implications of parameter ranking in a global sensitivity analysis for further research.

Year of Publication2010
Open accessPublished as bronze (free) open access
Funder project or codeCentre for Biofuels and Climate Change (BCC)
SEF
A whole-system approach to analysing bioenergy demand and supply: mobilising the long-term potential of bioenergy TSEC-BIOSYS [6024]
Development and application of models for soil-plant-atmosphere interactions to optimize resource capture and management of low-input systems
A whole-system approach to analysing bioenergy demand and supply: mobilising the long-term potential of bioenergy TSEC-BIOSYS [4748]
FunderBiotechnology and Biological Sciences Research Council
Publisher's version
File
Output statusPublished
Page range97-98

Permalink - https://repository.rothamsted.ac.uk/item/8q842/identifying-key-process-parameters-in-a-sink-source-interaction-model-for-energy-crops

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