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Sorghum Crop Modeling and Its Utility in Agronomy and Breeding

Hammer, Graeme and McLean, Greg and Doherty, Al and van Oosterom, Erik and Chapman, Scott (2016) Sorghum Crop Modeling and Its Utility in Agronomy and Breeding. In: Sorghum: State of the Art and Future Perspectives. Agronomy Monographs (58). American Society of Agronomy and Crop Science Society of America, Inc., Madison, WI. ISBN 978-0-89118-628-1

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Article Link(s): http://dx.doi.org/10.2134/agronmonogr58.2014.0064

Publisher URL: http://dx.doi.org/10.2134/agronmonogr58.2014.0064https://dl.sciencesocieties.org/publications/books/abstracts/agronomymonogra/agronmonogr58/agronmonogr58.2014.0064

Abstract

Crop models are simplified mathematical representations of the interacting biological and environmental components of the dynamic soil–plant–environment system. Sorghum crop modeling has evolved in parallel with crop modeling capability in general, since its origins in the 1960s and 1970s. Here we briefly review the trajectory in sorghum crop modeling leading to the development of advanced models. We then (i) overview the structure and function of the sorghum model in the Agricultural Production System sIMulator (APSIM) to exemplify advanced modeling concepts that suit both agronomic and breeding applications, (ii) review an example of use of sorghum modeling in supporting agronomic management decisions, (iii) review an example of the use of sorghum modeling in plant breeding, and (iv) consider implications for future roles of sorghum crop modeling. Modeling and simulation provide an avenue to explore consequences of crop management decision options in situations confronted with risks associated with seasonal climate uncertainties. Here we consider the possibility of manipulating planting configuration and density in sorghum as a means to manipulate the productivity–risk trade-off. A simulation analysis of decision options is presented and avenues for its use with decision-makers discussed. Modeling and simulation also provide opportunities to improve breeding efficiency by either dissecting complex traits to more amenable targets for genetics and breeding, or by trait evaluation via phenotypic prediction in target production regions to help prioritize effort and assess breeding strategies. Here we consider studies on the stay-green trait in sorghum, which confers yield advantage in water-limited situations, to exemplify both aspects. The possible future roles of sorghum modeling in agronomy and breeding are discussed as are opportunities related to their synergistic interaction. The potential to add significant value to the revolution in plant breeding associated with genomic technologies is identified as the new modeling frontier.

Item Type:Book Section
Business groups:Crop and Food Science
Subjects:Science > Botany > Genetics
Agriculture > Agriculture (General) > Methods and systems of culture. Cropping systems
Plant culture > Field crops > Sorghum
Deposited On:24 Oct 2016 05:55
Last Modified:24 Oct 2016 05:55

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