Exploring the potential impacts of climate variability on spring wheat yield with the APSIM decision support tool

Article


Kouadio, Louis, Newlands, Nathaniel, Potgieter, Andries, McLean, Greg and Hill, Harvey. 2015. "Exploring the potential impacts of climate variability on spring wheat yield with the APSIM decision support tool." Agricultural Sciences. 6 (7), pp. 686-698. https://doi.org/10.4236/as.2015.67066
Article Title

Exploring the potential impacts of climate variability on spring wheat yield with the APSIM decision support tool

Article CategoryArticle
AuthorsKouadio, Louis (Author), Newlands, Nathaniel (Author), Potgieter, Andries (Author), McLean, Greg (Author) and Hill, Harvey (Author)
Journal TitleAgricultural Sciences
Journal Citation6 (7), pp. 686-698
Number of Pages13
Year2015
Place of PublicationUnited States
Digital Object Identifier (DOI)https://doi.org/10.4236/as.2015.67066
Web Address (URL)http://www.scirp.org/Journal/PaperInformation.aspx?PaperID=58170
Abstract

Assessing the impacts of climate variability on agricultural productivity at regional, national or global scale is essential for defining adaptation and mitigation strategies. We explore in this study the potential changes in spring wheat yields at Swift Current and Melfort, Canada, for different sowing windows under projected climate scenarios (i.e., the representative concentration pathways, RCP4.5 and RCP8.5). First, the APSIM model was calibrated and evaluated at the study sites using data from long term experimental field plots. Then, the impacts of change in sowing dates on final yield were assessed over the 2030-2099 period with a 1990-2009 baseline period of observed yield data, assuming that other crop management practices remained unchanged. Results showed that the performance of APSIM was quite satisfactory with an index of agreement of 0.80, R2 of 0.54, and mean absolute error (MAE) and root mean square error (RMSE) of 529 kg/ha and 1023 kg/ha, respectively (MAE = 476 kg/ha and RMSE = 684 kg/ha in calibration phase). Under the projected climate conditions, a general trend in yield loss was observed regardless of the sowing window, with a range from −24% to −94% depending on the site and the RCP, and noticeable losses during the 2060s and beyond (increasing CO2 effects being excluded). Smallest yield losses obtained through earlier possible sowing date (i.e., mid-April) under the projected future climate suggested that this option might be explored for mitigating possible adverse impacts of climate variability. Our findings could therefore serve as a basis for using APSIM as a decision support tool for adaptation/mitigation options under potential climate variability within Western Canada.

KeywordsClimate Variability, APSIM, Crop Modelling, Spring Wheat
ANZSRC Field of Research 2020300205. Agricultural production systems simulation
Byline AffiliationsInternational Centre for Applied Climate Science
Agriculture and Agri-Food, Canada
University of Queensland
Department of Agriculture and Fisheries, Queensland
Institution of OriginUniversity of Southern Queensland
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Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale
Kouadio, Louis, Newlands, Nathaniel K., Davidson, Andrew, Zhang, Yinsuo and Chipanshi, Aston. 2014. "Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale." Remote Sensing. 6 (10), pp. 10193-10214. https://doi.org/10.3390/rs61010193
Brown rust disease control in winter wheat: II. Exploring the optimization of fungicide sprays through a decision support system
El Jarroudi, Moussa, Kouadio, Louis, Giraud, Frederic, Delfosse, Philippe and Tychon, Bernard. 2014. "Brown rust disease control in winter wheat: II. Exploring the optimization of fungicide sprays through a decision support system." Environmental Science and Pollution Research. 21 (7), pp. 4809-4818. https://doi.org/10.1007/s11356-014-2557-9
Brown rust disease control in winter wheat: I. Exploring an approach for disease progression based on night weather conditions
El Jarroudi, Moussa, Kouadio, Louis, Delfosse, Philippe and Tychon, Bernard. 2014. "Brown rust disease control in winter wheat: I. Exploring an approach for disease progression based on night weather conditions." Environmental Science and Pollution Research. 21 (7), pp. 4797-4808. https://doi.org/10.1007/s11356-013-2463-6
An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty
Newlands, Nathaniel K., Zamar, David S., Kouadio, Louis A., Zhang, Yinsuo, Chipanshi, Aston, Potgieter, Andries, Toure, Souleymane and Hill, Harvey S. J.. 2014. "An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty." Frontiers in Environmental Science. 2, pp. 1-21. https://doi.org/10.3389/fenvs.2014.00017
A comparison of raters and disease assessment methods for estimating disease severity for purposes of hypothesis testing
Bock, Clive, El Jarroudi, Moussa, Kouadio, Louis, Mackels, Christophe, Chiang, Kuo-Szu and Delfosse, Philippe. 2014. "A comparison of raters and disease assessment methods for estimating disease severity for purposes of hypothesis testing." Phytopathology: International Journal of the American Phytopathological Society. 104 (11), pp. 15-16.
Importance of a well-distributed frequency of measurements in the senescence monitoring of winter wheat and yield estimates
Kouadio, Louis, Djaby, Bakary, El Jarroudi, Moussa and Tychon, Bernard. 2012. "Importance of a well-distributed frequency of measurements in the senescence monitoring of winter wheat and yield estimates." Journal of Agricultural Science and Technology . 2 (12), pp. 1203-1213.
Estimating winter wheat yield through the decreasing phase of its green area [Cinetique de decroissance de la surface verte et estimation du rendement du ble d'hiver]
Kouadio, Amani Louis, Djaby, Bakary, Duveiller, Gregory, El Jarroudi, Moussa and Tychon, Bernard. 2012. "Estimating winter wheat yield through the decreasing phase of its green area [Cinetique de decroissance de la surface verte et estimation du rendement du ble d'hiver]." Biotechnology, Agronomy, Society and Environment. 16 (2), pp. 179-191.
Typology of the main fungal diseases affecting winter wheat in the Grand Duchy of Luxembourg
El Jarroudi, Moussa, Kouadio, Louis, Delfosse, Philippe, Giraud, Frederic, Junk, Jurgen, Hoffmann, Lucien, Maraite, Henri and Tychon, Bernard. 2012. "Typology of the main fungal diseases affecting winter wheat in the Grand Duchy of Luxembourg." Journal of Agricultural Science and Technology . 2 (12), pp. 1386-1399.
Spatial distribution of calibrated WOFOST parameters and their influence on the performances of a regional yield forecasting system
Djaby, Bakary, de Wit, Allard, Kouadio, Louis, El Jarroudi, Moussa and Tychon, Bernard. 2013. "Spatial distribution of calibrated WOFOST parameters and their influence on the performances of a regional yield forecasting system." Sustainable Agriculture Research. 2 (4), pp. 12-29. https://doi.org/10.5539/sar.v2n4p12
Disease severity assessment in epidemiological studies: accuracy and reliability of visual estimates of Septoria leaf blotch (SLB) in winter wheat
El Jarroudi, Moussa, Kouadio, Louis, Mackels, Christophe, Tychon, Bernard, Delfosse, Philippe and Bock, Clive H.. 2014. "Disease severity assessment in epidemiological studies: accuracy and reliability of visual estimates of Septoria leaf blotch (SLB) in winter wheat." 2014 APS-CPS Joint Meeting. Minneapolis, United States of America 09 - 13 Aug 2014 United States. American Phytopathological Society. https://doi.org/10.1094/PHYTO-104-11-S3.1
Estimating winter crop area across seasons and regions using time-sequential MODIS imagery
Potgieter, Andries, Apan, Armando, Hammer, Graeme and Dunn, Peter. 2011. "Estimating winter crop area across seasons and regions using time-sequential MODIS imagery." International Journal of Remote Sensing. 32 (15), pp. 4281-4310. https://doi.org/10.1080/01431161.2010.486415
Determining broadacre crop area estimates through the use of multi-temporal modis satellite imagery for major Australian winter crops
Potgieter, Andries B.. 2009. Determining broadacre crop area estimates through the use of multi-temporal modis satellite imagery for major Australian winter crops. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
Drought risks and vulnerability in rainfed agriculture: example of a case study in Australia
Stone, Roger C. and Potgieter, Andries. 2008. "Drought risks and vulnerability in rainfed agriculture: example of a case study in Australia." Options Mediterraneennes.
Early-season crop area estimates for winter crops in NE Australia using MODIS satellite imagery
Potgieter, A. B., Apan, A., Hammer, G. and Dunn, P.. 2010. "Early-season crop area estimates for winter crops in NE Australia using MODIS satellite imagery." ISPRS Journal of Photogrammetry and Remote Sensing. 65 (4), pp. 380-387. https://doi.org/10.1016/j.isprsjprs.2010.04.004
Assessing the relationship between shire winter crop yield and seasonal variability of the MODIS NDVI and EVI images
Fontana, Denise C., Potgieter, Andries B. and Apan, Armando. 2007. "Assessing the relationship between shire winter crop yield and seasonal variability of the MODIS NDVI and EVI images." Applied Geographic Information Systems (GIS). 3 (7), pp. 1-16.
Rainfall variability of decadal and longer time scales: signal or noise?
Meinke, Holger, deVoil, Peter, Hammer, Graeme L., Power, Scott, Allan, Robert J., Stone, Roger C., Folland, Chris K. and Potgieter, Andries B.. 2005. "Rainfall variability of decadal and longer time scales: signal or noise?" Journal of Climate. 18 (1), pp. 89-90. https://doi.org/10.1175/JCLI-3263.1
El Nino through the 'eyes' of a wheat crop
Potgieter, Andries B., Hammer, Graeme L., Meinke, Holger, Stone, Roger C. and Goddard, Lisa. 2003. "El Nino through the 'eyes' of a wheat crop." Stone, Roger C. and Partridge, Ian (ed.) National Drought Forum 2003: Science for Drought. Brisbane, Australia 15 - 16 Apr 2003 Brisbane, Australia.
Three putative types of El Nino revealed by spatial variability in impact on Australian wheat yield
Potgieter, Andries B., Hammer, Graeme L., Meinke, Holger, Stone, Roger C. and Goddard, Lisa. 2005. "Three putative types of El Nino revealed by spatial variability in impact on Australian wheat yield." Journal of Climate. 18 (10), pp. 1566-1574. https://doi.org/10.1175/JCLI3349.1
Estimating crop area using seasonal time series of Enhanced Vegetation Index from MODIS satellite imagery
Potgieter, Andries B., Apan, Armando, Dunn, Peter K. and Hammer, Graeme L.. 2007. "Estimating crop area using seasonal time series of Enhanced Vegetation Index from MODIS satellite imagery." Crop and Pasture Science. 58 (4), pp. 316-325. https://doi.org/10.1071/AR06279
Assessing the relationship between shire winter crop yield and multi-temporal MODIS NDVI and EVI images
Fontana, Denise C., Potgieter, Andries B. and Apan, Armando. 2005. "Assessing the relationship between shire winter crop yield and multi-temporal MODIS NDVI and EVI images." Bellman, Chris, Cartwright, William and Shortis, Mark (ed.) 2005 Spatial Sciences Institute Biennial Conference: Spatial Intelligence, Innovation and Praxis (SSC2005). Melbourne, Australia 12 - 16 Sep 2005 Melbourne, Australia.
Spying on the winter wheat crop - generating objective planted area and crop production estimates using MODIS imagery
Potgieter, Andries B., Apan, Armando, Hammer, Graeme L. and Dunn, Peter K.. 2005. "Spying on the winter wheat crop - generating objective planted area and crop production estimates using MODIS imagery." Bellman, Chris, Cartwright, William and Shortis, Mark (ed.) 2005 Spatial Sciences Institute Biennial Conference: Spatial Intelligence, Innovation and Praxis (SSC2005). Melbourne, Australia 12 - 16 Sep 2005