Designing the sorghum crop model in APSIM to simulate the physiology and genetics of complex adaptive traits

Hammer, Graeme L., Van Oosterom, Erik, McLean, Greg and Chapman, Scott (2009). Designing the sorghum crop model in APSIM to simulate the physiology and genetics of complex adaptive traits. In: Annual Meeting of the Society-for-Experimental-Biology, Glasgow Scotland, (S222-S222). Jun 28-Jul 01, 2009. doi:10.1016/j.cbpa.2009.04.550

Author Hammer, Graeme L.
Van Oosterom, Erik
McLean, Greg
Chapman, Scott
Title of paper Designing the sorghum crop model in APSIM to simulate the physiology and genetics of complex adaptive traits
Conference name Annual Meeting of the Society-for-Experimental-Biology
Conference location Glasgow Scotland
Conference dates Jun 28-Jul 01, 2009
Journal name Comparative Biochemistry and Physiology A-Molecular & Integrative Physiology   Check publisher's open access policy
Place of Publication Philadelphia, United States
Publisher Elsevier
Publication Year 2009
Sub-type Published abstract
DOI 10.1016/j.cbpa.2009.04.550
ISSN 1095-6433
Volume 153A
Issue 2
Start page S222
End page S222
Total pages 1
Language eng
Formatted Abstract/Summary
Progress in crop improvement generally and in molecular approaches to plant breeding particularly are limited by our ability to predict plant phenotype based on its genotype, especially for complex adaptive traits. However, the capacity of crop growth and development models to bridge this predictability gap is questionable if the models rely on algorithms that describe key aspects of crop growth and development too simply, or if they delve too far into detailed process specification requiring extensive and sophisticated parameterisation. Here we outline a generic cereal crop growth and development model designed to retain good predictive skill at crop level while also introducing sufficient physiological rigour that complex phenotypic responses become emergent properties of the model dynamics, thus facilitating effective gene-to-phenotype links. The generic template has been constructed in the APSIM software platform, which facilitates on-going and collaborative development. We detail experiments underpinning development and testing of the sorghum crop model implemented in this template. The approach is focussed around quantifying capture and use of radiation, water, and nitrogen. We present an example of how introducing genetic variation in plant height can generate emergent simulated phenotypic differences in green leaf area retention associated with nitrogen dynamics. The relevance of this capability for complex trait dissection and plant breeding is discussed.
Q-Index Code EX
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
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