000 | 02985nab a22005897a 4500 | ||
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999 |
_c58931 _d58923 |
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001 | 58931 | ||
003 | MX-TxCIM | ||
005 | 20211006082042.0 | ||
008 | 171121s2018 ne |||p| p||| 00| 0 eng d | ||
024 | 8 | _ahttps://doi.org/10.1016/j.fcr.2017.11.005 | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 1 |
_95088 _aWebber, H. |
|
245 | 1 | 0 | _aPhysical robustness of canopy temperature models for crop heat stress simulation across environments and production conditions |
260 |
_aAmsterdam, Netherlands : _bElsevier, _c2018. |
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500 | _aPeer review | ||
520 | _aDespite widespread application in studying climate change impacts, most crop models ignore complex interactions among air temperature, crop and soil water status, CO2 concentration and atmospheric conditions that influence crop canopy temperature. The current study extended previous studies by evaluating Tc simulations from nine crop models at six locations across environmental and production conditions. Each crop model implemented one of an empirical (EMP), an energy balance assuming neutral stability (EBN) or an energy balance correcting for atmospheric stability conditions (EBSC) approach to simulate Tc. Model performance in predicting Tc was evaluated for two experiments in continental North America with various water, nitrogen and CO2 treatments. An empirical model fit to one dataset had the best performance, followed by the EBSC models. Stability conditions explained much of the differences between modeling approaches. More accurate simulation of heat stress will likely require use of energy balance approaches that consider atmospheric stability conditions. | ||
546 | _aText in English. | ||
650 | 7 |
_91971 _aHeat stress _2AGROVOC |
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650 | 7 |
_92623 _aCrop modelling _2AGROVOC |
|
650 | 7 |
_91045 _aClimate change _2AGROVOC |
|
650 | 7 |
_aWheat _gAGROVOC _2 _91310 |
|
650 | 7 |
_91800 _aCanopy _2AGROVOC |
|
700 | 1 |
_91789 _aWhite, J.W. |
|
700 |
_91777 _aKimball, B.A. |
||
700 | 1 |
_91584 _aEwert, F. |
|
700 | 1 |
_91568 _aAsseng, S. |
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700 | 1 |
_91783 _aRezaei, E.E. |
|
700 | 1 |
_9651 _aPinter, P.J. Jr. |
|
700 | 1 |
_92640 _aHatfield, J.L. |
|
700 | 1 |
_aReynolds, M.P. _gGlobal Wheat Program _8INT1511 _9831 |
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700 | 1 |
_95730 _aBehnam Ababaei |
|
700 | 1 |
_91573 _aBindi, M. |
|
700 | 1 |
_91774 _aDoltra, J. |
|
700 | 1 |
_91585 _aFerrise, R. |
|
700 | 1 |
_95731 _aKage, H. |
|
700 | 1 |
_91770 _aKassie, B.T. |
|
700 | 1 |
_91776 _aKersebaum, K.C. |
|
700 | 1 |
_95732 _aLuig, A. |
|
700 | 1 |
_91780 _aOlesen, J.E. |
|
700 |
_91768 _aSemenov, M.A. |
||
700 | 1 |
_91784 _aStratonovitch, P. |
|
700 | 1 |
_95733 _aRatjen, A. M. |
|
700 | 1 |
_95734 _aLaMorte, R. L. |
|
700 | 1 |
_95735 _aLeavitt, S. W. |
|
700 | 1 |
_95736 _aHunsaker, D. J. |
|
700 | 1 |
_91788 _aWall, G.W. |
|
700 | 1 |
_91766 _aMartre, P. |
|
773 | 0 |
_tFields Crop Research _gv. 216, p. 75-88 _wu444314 |
|
856 | 4 |
_uhttps://libcatalog.cimmyt.org/download/cis/58931.pdf _yAccess only for CIMMYT Staff |
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942 |
_2ddc _cJA _n0 |