Adapting rain-fed sorghum agronomy to breeding progress - cropping system model parameterisation

George-Jaeggli, Barbara, Brider, Jason, Broad, Ian, Chenu, Karine, Eyre, Joseph, Ferrante, Ariel, McLean, Greg, McLean, James, Skerman, Andrew and Rodriguez, Daniel (2015). Adapting rain-fed sorghum agronomy to breeding progress - cropping system model parameterisation. In: Building Productive, Diverse and Sustainable Landscapes: Proceedings of the Australian Society of Agronomy Inc.’s 17th Australian Agronomy Conference. Australian Agronomy Conference, Hobart, TAS, Australia, (). 21-24 September 2015.

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Name Description MIMEType Size Downloads
Author George-Jaeggli, Barbara
Brider, Jason
Broad, Ian
Chenu, Karine
Eyre, Joseph
Ferrante, Ariel
McLean, Greg
McLean, James
Skerman, Andrew
Rodriguez, Daniel
Title of paper Adapting rain-fed sorghum agronomy to breeding progress - cropping system model parameterisation
Conference name Australian Agronomy Conference
Conference location Hobart, TAS, Australia
Conference dates 21-24 September 2015
Proceedings title Building Productive, Diverse and Sustainable Landscapes: Proceedings of the Australian Society of Agronomy Inc.’s 17th Australian Agronomy Conference
Place of Publication Warragul, VIC, Australia
Publisher Australian Society of Agronomy
Publication Year 2015
Sub-type Fully published paper
Total pages 4
Collection year 2016
Language eng
Abstract/Summary Over the last decades, there has been considerable investment from the private and public sector in genetic improvement of sorghum hybrids, but the high yield potential of these new genotypes is not always achieved in farmers’ fields. Matching these new genotypes to seasonally optimised crop management has the potential to increase productivity. One of the best ways to determine a hybrid’s yield potential in a specific location, but also to identify best hybrid by environment by agronomic management combinations and to demonstrate benefits and trade-offs between productivity, investment and risks, is to use a crop model, such as APSIM (www.apsim.info). To enhance APSIM’s ability to predict grain yield for various sorghum genotypes, growth and development parameters of new hybrids have to be determined. Here we present flowering time data for one previous and eleven newly-released sorghum hybrids that were parameterised in specially designed experiments with five different sowing times and the fit between model predicted and observed values. This information, together with other growth parameters, will be used to parameterise the model to improve APSIM’s ability to simulate yield of the new sorghum types.
Keyword Anthesis
Thermal time
Sowing date
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes http://www.agronomy2015.com.au/

 
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Created: Tue, 23 Feb 2016, 16:19:34 EST by Dr Karine Chenu on behalf of Centre for Plant Science