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Potential of the APSIM model to simulate impacts of shading on maize productivity


Dilla, A and Smethurst, PJ and Barry, K and Parsons, D and Denboba, M, Potential of the APSIM model to simulate impacts of shading on maize productivity, Agroforestry Systems, 92, (6) pp. 1699-1709. ISSN 0167-4366 (2018) [Refereed Article]

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Copyright 2017 Springer Science+Business Media B.V.

DOI: doi:10.1007/s10457-017-0119-0


A number of agroforestry models have been developed to simulate growth outcomes based on the interactions between components of agroforestry systems. A major component of this interaction is the impact of shade from trees on crop growth and yield. Capability in the agricultural production systems simulator (APSIM) model to simulate the impacts of shading on crop performance could be particularly useful, as the model is already widely used to simulate agricultural crop production. To quantify and simulate the impacts of shading on maize performance without trees, a field experiment was conducted at Melkassa Agricultural Research Centre, Ethiopia. The treatments contained three levels of shading intensity that reduced incident radiation by 0 (control), 50 and 75% using shade cloth. Data from a similar field experiment at Machakos Research Station, Kenya, with 0, 25 and 50% shading were also used for simulation. APSIM adequately simulated maize grain yield (r2 = 0.97) and total above-ground biomass (r2 = 0.95) in the control and in the 50% treatments at Melkassa, and likewise in the control (r2 = 0.99), 25% (r2 = 0.90) and 50% (r2 = 0.98) treatments at Machakos. Similarly, APSIM effectively predicted Leaf Area Index attained at the flowering (r2 = 0.90) and maturity (r2 = 0.94) stages. However, APSIM under-estimated maize biomass and yield at 75% shading. In conclusion, the model can be reliably employed to simulate maize productivity in agroforestry systems with up to 50% shading, but caution is required at higher levels of shading.

Item Details

Item Type:Refereed Article
Keywords:APSIM, maize, crop modelling, agroforestry, LAI, light
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Crop and pasture production
Research Field:Agro-ecosystem function and prediction
Objective Division:Plant Production and Plant Primary Products
Objective Group:Grains and seeds
Objective Field:Maize
UTAS Author:Dilla, A (Mrs Aynalem Dilla)
UTAS Author:Smethurst, PJ (Dr Philip Smethurst)
UTAS Author:Barry, K (Associate Professor Kara Barry)
UTAS Author:Parsons, D (Dr David Parsons)
ID Code:120986
Year Published:2018 (online first 2017)
Web of Science® Times Cited:1
Deposited By:Agriculture and Food Systems
Deposited On:2017-09-05
Last Modified:2019-02-14

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