Evaluation of the APSIM model in cropping systems of Asia

Resource shortages, driven by climatic, institutional and social changes in many regions of Asia, combined with growing imperatives to increase food production whilst ensuring environmental sustainability, are driving research into modified agricultural practices. Well-tested cropping systems models...

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Autores principales: Gaydon, D.S., Balwinder-Singh, Wang, E., Poulton, P.L., Ahmad, B., Ahmed, F., Akhter, S., Ali, I., Amarasingha, R., Chaki, A.K., Chen, C., Choudhury, B.U., Darai, R., Das, A., Hochman, Z., Horan, H., Hosang, E.Y., Kumar, P. Vijaya, Khan, A.S.M.M.R., Laing, A.M., Liu, L., Malaviachichi, M.A.P.W.K., Mohapatra, K.P., Muttaleb, M.A., Power, B., Radanielson, A.M., Rai, G.S., Rashid, M.H., Rathanayake, W.M.U.K., Sarker, M.M.R., Sena, D.R., Shamim, M., Subash, N., Suriadi, A., Suriyagoda, L.D.B., Wang, G., Wang, J., Yadav, R.K., Roth, C.H.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2017
Acceso en línea:https://hdl.handle.net/10568/165088
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author Gaydon, D.S.
Balwinder-Singh
Wang, E.
Poulton, P.L.
Ahmad, B.
Ahmed, F.
Akhter, S.
Ali, I.
Amarasingha, R.
Chaki, A.K.
Chen, C.
Choudhury, B.U.
Darai, R.
Das, A.
Hochman, Z.
Horan, H.
Hosang, E.Y.
Kumar, P. Vijaya
Khan, A.S.M.M.R.
Laing, A.M.
Liu, L.
Malaviachichi, M.A.P.W.K.
Mohapatra, K.P.
Muttaleb, M.A.
Power, B.
Radanielson, A.M.
Rai, G.S.
Rashid, M.H.
Rathanayake, W.M.U.K.
Sarker, M.M.R.
Sena, D.R.
Shamim, M.
Subash, N.
Suriadi, A.
Suriyagoda, L.D.B.
Wang, G.
Wang, J.
Yadav, R.K.
Roth, C.H.
author_browse Ahmad, B.
Ahmed, F.
Akhter, S.
Ali, I.
Amarasingha, R.
Balwinder-Singh
Chaki, A.K.
Chen, C.
Choudhury, B.U.
Darai, R.
Das, A.
Gaydon, D.S.
Hochman, Z.
Horan, H.
Hosang, E.Y.
Khan, A.S.M.M.R.
Kumar, P. Vijaya
Laing, A.M.
Liu, L.
Malaviachichi, M.A.P.W.K.
Mohapatra, K.P.
Muttaleb, M.A.
Poulton, P.L.
Power, B.
Radanielson, A.M.
Rai, G.S.
Rashid, M.H.
Rathanayake, W.M.U.K.
Roth, C.H.
Sarker, M.M.R.
Sena, D.R.
Shamim, M.
Subash, N.
Suriadi, A.
Suriyagoda, L.D.B.
Wang, E.
Wang, G.
Wang, J.
Yadav, R.K.
author_facet Gaydon, D.S.
Balwinder-Singh
Wang, E.
Poulton, P.L.
Ahmad, B.
Ahmed, F.
Akhter, S.
Ali, I.
Amarasingha, R.
Chaki, A.K.
Chen, C.
Choudhury, B.U.
Darai, R.
Das, A.
Hochman, Z.
Horan, H.
Hosang, E.Y.
Kumar, P. Vijaya
Khan, A.S.M.M.R.
Laing, A.M.
Liu, L.
Malaviachichi, M.A.P.W.K.
Mohapatra, K.P.
Muttaleb, M.A.
Power, B.
Radanielson, A.M.
Rai, G.S.
Rashid, M.H.
Rathanayake, W.M.U.K.
Sarker, M.M.R.
Sena, D.R.
Shamim, M.
Subash, N.
Suriadi, A.
Suriyagoda, L.D.B.
Wang, G.
Wang, J.
Yadav, R.K.
Roth, C.H.
author_sort Gaydon, D.S.
collection Repository of Agricultural Research Outputs (CGSpace)
description Resource shortages, driven by climatic, institutional and social changes in many regions of Asia, combined with growing imperatives to increase food production whilst ensuring environmental sustainability, are driving research into modified agricultural practices. Well-tested cropping systems models that capture interactions between soil water and nutrient dynamics, crop growth, climate and farmer management can assist in the evaluation of such new agricultural practices. One such cropping systems model is the Agricultural Production Systems Simulator (APSIM). We evaluated APSIM’s ability to simulate the performance of cropping systems in Asia from several perspectives: crop phenology, production, water use, soil dynamics (water and organic carbon) and crop CO2 response, as well as its ability to simulate cropping sequences without reset of soil variables. The evaluation was conducted over a diverse range of environments (12 countries, numerous soils), crops and management practices throughout the region. APSIM’s performance was statistically assessed against assembled replicated experimental datasets. Once properly parameterised, the model performed well in simulating the diversity of cropping systems to which it was applied with RMSEs generally less than observed experimental standard deviations (indicating robust model performance), and with particular strength in simulation of multi-crop sequences. Input parameter estimation challenges were encountered, and although ‘work-arounds’ were developed and described, in some cases these actually represent model deficiencies which need to be addressed. Desirable future improvements have been identified to better position APSIM as a useful tool for Asian cropping systems research into the future. These include aspects related to harsh environments (high temperatures, diffuse light conditions, salinity, and submergence), conservation agriculture, greenhouse gas emissions, as well as aspects more specific to Southern Asia and low input systems (such as deficiencies in soil micro-nutrients)
format Journal Article
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institution CGIAR Consortium
language Inglés
publishDate 2017
publishDateRange 2017
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publisher Elsevier
publisherStr Elsevier
record_format dspace
spelling CGSpace1650882024-12-19T14:13:31Z Evaluation of the APSIM model in cropping systems of Asia Gaydon, D.S. Balwinder-Singh Wang, E. Poulton, P.L. Ahmad, B. Ahmed, F. Akhter, S. Ali, I. Amarasingha, R. Chaki, A.K. Chen, C. Choudhury, B.U. Darai, R. Das, A. Hochman, Z. Horan, H. Hosang, E.Y. Kumar, P. Vijaya Khan, A.S.M.M.R. Laing, A.M. Liu, L. Malaviachichi, M.A.P.W.K. Mohapatra, K.P. Muttaleb, M.A. Power, B. Radanielson, A.M. Rai, G.S. Rashid, M.H. Rathanayake, W.M.U.K. Sarker, M.M.R. Sena, D.R. Shamim, M. Subash, N. Suriadi, A. Suriyagoda, L.D.B. Wang, G. Wang, J. Yadav, R.K. Roth, C.H. Resource shortages, driven by climatic, institutional and social changes in many regions of Asia, combined with growing imperatives to increase food production whilst ensuring environmental sustainability, are driving research into modified agricultural practices. Well-tested cropping systems models that capture interactions between soil water and nutrient dynamics, crop growth, climate and farmer management can assist in the evaluation of such new agricultural practices. One such cropping systems model is the Agricultural Production Systems Simulator (APSIM). We evaluated APSIM’s ability to simulate the performance of cropping systems in Asia from several perspectives: crop phenology, production, water use, soil dynamics (water and organic carbon) and crop CO2 response, as well as its ability to simulate cropping sequences without reset of soil variables. The evaluation was conducted over a diverse range of environments (12 countries, numerous soils), crops and management practices throughout the region. APSIM’s performance was statistically assessed against assembled replicated experimental datasets. Once properly parameterised, the model performed well in simulating the diversity of cropping systems to which it was applied with RMSEs generally less than observed experimental standard deviations (indicating robust model performance), and with particular strength in simulation of multi-crop sequences. Input parameter estimation challenges were encountered, and although ‘work-arounds’ were developed and described, in some cases these actually represent model deficiencies which need to be addressed. Desirable future improvements have been identified to better position APSIM as a useful tool for Asian cropping systems research into the future. These include aspects related to harsh environments (high temperatures, diffuse light conditions, salinity, and submergence), conservation agriculture, greenhouse gas emissions, as well as aspects more specific to Southern Asia and low input systems (such as deficiencies in soil micro-nutrients) 2017-03 2024-12-19T12:54:42Z 2024-12-19T12:54:42Z Journal Article https://hdl.handle.net/10568/165088 en Open Access Elsevier Gaydon, D.S.; Balwinder-Singh; Wang, E.; Poulton, P.L.; Ahmad, B.; Ahmed, F.; Akhter, S.; Ali, I.; Amarasingha, R.; Chaki, A.K.; Chen, C.; Choudhury, B.U.; Darai, R.; Das, A.; Hochman, Z.; Horan, H.; Hosang, E.Y.; Kumar, P. Vijaya; Khan, A.S.M.M.R.; Laing, A.M.; Liu, L.; Malaviachichi, M.A.P.W.K.; Mohapatra, K.P.; Muttaleb, M.A.; Power, B.; Radanielson, A.M.; Rai, G.S.; Rashid, M.H.; Rathanayake, W.M.U.K.; Sarker, M.M.R.; Sena, D.R.; Shamim, M.; Subash, N.; Suriadi, A.; Suriyagoda, L.D.B.; Wang, G.; Wang, J.; Yadav, R.K. and Roth, C.H. 2017. Evaluation of the APSIM model in cropping systems of Asia. Field Crops Research, Volume 204 p. 52-75
spellingShingle Gaydon, D.S.
Balwinder-Singh
Wang, E.
Poulton, P.L.
Ahmad, B.
Ahmed, F.
Akhter, S.
Ali, I.
Amarasingha, R.
Chaki, A.K.
Chen, C.
Choudhury, B.U.
Darai, R.
Das, A.
Hochman, Z.
Horan, H.
Hosang, E.Y.
Kumar, P. Vijaya
Khan, A.S.M.M.R.
Laing, A.M.
Liu, L.
Malaviachichi, M.A.P.W.K.
Mohapatra, K.P.
Muttaleb, M.A.
Power, B.
Radanielson, A.M.
Rai, G.S.
Rashid, M.H.
Rathanayake, W.M.U.K.
Sarker, M.M.R.
Sena, D.R.
Shamim, M.
Subash, N.
Suriadi, A.
Suriyagoda, L.D.B.
Wang, G.
Wang, J.
Yadav, R.K.
Roth, C.H.
Evaluation of the APSIM model in cropping systems of Asia
title Evaluation of the APSIM model in cropping systems of Asia
title_full Evaluation of the APSIM model in cropping systems of Asia
title_fullStr Evaluation of the APSIM model in cropping systems of Asia
title_full_unstemmed Evaluation of the APSIM model in cropping systems of Asia
title_short Evaluation of the APSIM model in cropping systems of Asia
title_sort evaluation of the apsim model in cropping systems of asia
url https://hdl.handle.net/10568/165088
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