Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops

Hammer, Graeme L., van Oosterom, Erik, McLean, Greg, Chapman, Scott C., Broad, Ian, Harland, Peter and Muchow, Russell C. (2010) Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops. Journal of Experimental Botany, 61 8: 2185-2202. doi:10.1093/jxb/erq095


Author Hammer, Graeme L.
van Oosterom, Erik
McLean, Greg
Chapman, Scott C.
Broad, Ian
Harland, Peter
Muchow, Russell C.
Title Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops
Journal name Journal of Experimental Botany   Check publisher's open access policy
ISSN 0022-0957
1460-2431
1754-6613
Publication date 2010-05
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1093/jxb/erq095
Volume 61
Issue 8
Start page 2185
End page 2202
Total pages 18
Place of publication Oxford, U. K.
Publisher Oxford University Press
Collection year 2011
Language eng
Abstract Progress in molecular plant breeding is limited by the ability to predict plant phenotype based on its genotype, especially for complex adaptive traits. Suitably constructed crop growth and development models have the potential to bridge this predictability gap. A generic cereal crop growth and development model is outlined here. It is designed to exhibit reliable predictive skill at the crop level while also introducing sufficient physiological rigour for complex phenotypic responses to become emergent properties of the model dynamics. The approach quantifies capture and use of radiation, water, and nitrogen within a framework that predicts the realized growth of major organs based on their potential and whether the supply of carbohydrate and nitrogen can satisfy that potential. The model builds on existing approaches within the APSIM software platform. Experiments on diverse genotypes of sorghum that underpin the development and testing of the adapted crop model are detailed. Genotypes differing in height were found to differ in biomass partitioning among organs and a tall hybrid had significantly increased radiation use efficiency: a novel finding in sorghum. Introducing these genetic effects associated with plant height into the model generated emergent simulated phenotypic differences in green leaf area retention during grain filling via effects associated with nitrogen dynamics. The relevance to plant breeding of this capability in complex trait dissection and simulation is discussed. © 2010 The Authors.
Keyword APSIM
Crop model
Emergent property
gene-to-phenotype
Sorghum
Height
Nitrogen
Plant breeding
RUE
Senescence
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Official 2011 Collection
School of Agriculture and Food Sciences
 
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Created: Sun, 13 Jun 2010, 00:03:29 EST