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Improving the prediction of potato productivity: APSIM-Potato model parameterization and evaluation in Tasmania, Australia

Borus, Dinah and Parsons, David and Boersma, Mark and Brown, Hamish and Mohammed, Caroline (2018). Improving the prediction of potato productivity: APSIM-Potato model parameterization and evaluation in Tasmania, Australia. Australian Journal Of Crop Science. 12, 32-43
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Abstract

Crop growth models are required to be extensively evaluated against actual data from field grown plants in order to have confidence in their prediction of crop productivity under various management options or a future changed climate. We evaluated the ability of the APSIM-potato model to predict production, phenology, and N-uptake of potato (Solanum tuberosum L.) under Tasmanian conditions. On-farm monitoring plots were established in north-west Tasmania within four different well–managed potato fields grown during the 2012/13 cropping season. Detailed soil and crop data sets measured in the on-farm plots planted with two potato cultivars, ‘Russet Burbank’ and ‘Moonlight’ were used to parameterise and evaluate the model. The model realistically reproduced the observed tuber yield with high precision (a mean N-RMSE of 15.4% and modelling efficiency of 1.0 for both cultivars). Measured mean dry matter (TDM) tuber yield was 17 t ha-1 for ‘Russet Burbank’ with a simulated yield of 20 t ha-1 . For ‘Moonlight’ simulated TDM yield was 16.0 t ha-1 compared to measured yield of 15.1 t ha-1 . The simulation results provide insight on the model performance under Tasmanian conditions. The results suggest that the model has potential to be used for purposes such as simulating productivity under various management options and climate change impact studies. Additional experiments are however required to improve cultivar specific input parameters such as phenology, leaf area and leaf duration and other functions that needs further refinement to improve model ability to simulate plant organs beside the tuber.

Authors/Creators:Borus, Dinah and Parsons, David and Boersma, Mark and Brown, Hamish and Mohammed, Caroline
Title:Improving the prediction of potato productivity: APSIM-Potato model parameterization and evaluation in Tasmania, Australia
Year of publishing :2018
Volume:12
Page range:32-43
Number of Pages:12
Publisher:Southern Cross Publishing
ISSN:1835-2693
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Agricultural Science
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Horticulture
Keywords:APSIM-potato model, climate change, parameterisation, evaluation, simulation, tuber dry matter yield
URN:NBN:urn:nbn:se:slu:epsilon-p-99965
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-99965
Additional ID:
Type of IDID
DOI10.21475/ajcs.18.12.01.pne570
ID Code:16121
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Agricultural Research for Northern Sweden
(VH) > Dept. of Agricultural Research for Northern Sweden
Deposited By: SLUpub Connector
Deposited On:10 Jun 2019 08:42
Metadata Last Modified:10 Jun 2019 08:42

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