| 000 | 04692nab a22007937a 4500 | ||
|---|---|---|---|
| 999 |
_c58176 _d58168 |
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| 001 | 58176 | ||
| 003 | MX-TxCIM | ||
| 005 | 20230711200125.0 | ||
| 008 | 160126s2017 ne |||p|op||| 00| 0 eng d | ||
| 024 | 8 | _ahttps://doi.org/10.1016/j.fcr.2016.12.015 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_988 _aGaydon, D.S. |
|
| 245 | 1 | 0 |
_aEvaluation of the APSIM model in cropping systems of Asia _h[Electronic Resource] |
| 260 |
_aAmsterdam, Netherlands : _bElsevier, _c2017. |
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| 500 | _aPeer review | ||
| 500 | _aOpen access | ||
| 520 | _aResource 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). | ||
| 526 |
_aWC _cFP4 |
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| 546 | _aText in English | ||
| 591 | _bCIMMYT Informa: 1987 (March 23, 2017) | ||
| 591 | _bCIMMYT Informa: 1989 (April 20, 2017) | ||
| 650 | 7 |
_aCropping systems _gAGROVOC _2 _91068 |
|
| 650 | 7 |
_92569 _aSimulation models _2AGROVOC |
|
| 650 | 7 |
_92623 _aCrop modelling _2AGROVOC |
|
| 650 | 7 |
_aCrop management _gAGROVOC _2 _91061 |
|
| 651 | 7 |
_94026 _aAsia _2AGROVOC |
|
| 700 | 1 |
_aSingh, B. _gFormerly Sustainable Intensification Program _8I1705951 _9793 |
|
| 700 | 1 |
_91644 _aWang, E. |
|
| 700 | 1 |
_94027 _aPoulton, P.L. |
|
| 700 | 1 |
_92720 _aAhmad, B. |
|
| 700 | 1 |
_94028 _aAhmed, F. |
|
| 700 | 1 |
_94029 _aAkhter, S. |
|
| 700 | 1 |
_94030 _aAli, I. |
|
| 700 | 1 |
_94031 _aAmarasingha, R. |
|
| 700 | 1 |
_94032 _aChaki, A.K. |
|
| 700 | 1 |
_94033 _aChen, C. |
|
| 700 | 1 |
_94034 _aChoudhury, B.U. |
|
| 700 | 1 |
_94035 _aDarai, R. _gNepal Agricultural Research Council |
|
| 700 | 1 |
_94036 _aDas, A. |
|
| 700 | 1 |
_94037 _aHochman, Z. |
|
| 700 | 1 |
_94038 _aHoran, H. |
|
| 700 | 1 |
_94039 _aHosang, E.Y. |
|
| 700 | 1 |
_94040 _aVijaya Kumar, P. |
|
| 700 | 1 |
_94041 _aKhan, A.S.M.M.R. |
|
| 700 | 1 |
_aLaing, A.M. _8001713882 _gSustainable Agrifood Systems _94042 |
|
| 700 | 1 |
_9573 _aLiu, L. |
|
| 700 | 1 |
_94043 _aMalaviachichi, M.A.P.W.K. |
|
| 700 | 1 |
_94044 _aMohapatra, K.P. |
|
| 700 | 1 |
_94045 _aMuttaleb, M.A. |
|
| 700 | 1 |
_94046 _aPower, B. |
|
| 700 | 1 |
_94047 _aRadanielson, A.M. |
|
| 700 | 1 |
_94048 _aRai, G.S. |
|
| 700 | 1 |
_91451 _aRashid, M.H. |
|
| 700 | 1 |
_94049 _aRathanayake, W.M.U.K. |
|
| 700 | 1 |
_94050 _aSarker, M.M.R. |
|
| 700 | 1 |
_aSena, D.R. _94051 |
|
| 700 | 1 |
_94052 _aShamim, M. |
|
| 700 | 1 |
_94053 _aSubash, N. |
|
| 700 | 1 |
_94054 _aSuriadi, A. |
|
| 700 | 1 |
_94055 _aSuriyagoda, L.D.B. |
|
| 700 | 1 |
_94056 _aWang, G. |
|
| 700 | 1 |
_94057 _aWang, J. |
|
| 700 | 1 |
_94058 _aYadav, R.K. |
|
| 700 | 1 |
_94059 _aRoth, C.H. |
|
| 773 | 0 |
_wu444314 _x0378-4290 (Print) _dAmsterdam (Netherlands) : Elsevier _tField Crops Research _gv. 204, p. 52-75 |
|
| 856 | 4 |
_uhttps://hdl.handle.net/10883/18327 _yOpen Access through DSpace |
|
| 942 |
_2ddc _cJA _n0 |
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