000 02267nam a22003977a 4500
001 G73175
003 MX-TxCIM
008 121211s ||||f| 0 p|p||0|| |
020 _a970-648-47-1
022 0 _a1405-7484
040 _aMX-TxCIM
072 0 _aF01
090 _aLook under series title
100 1 _aDu Toit, A.S.
_uModeling Extremes of Wheat and Maize Crop Performance in the Tropics; (CIMMYT) El Batan, Mexico; 19-22 Apr 1999
245 0 0 _aUse of linear regression and a correlation matrix to evaluate CERES3 (Maize)
260 _aMexico, DF (Mexico)
_bCIMMYT :
_c2000
340 _aPrinted
490 _aCIMMYT NRG-GIS Series ;
_vNo. 00-01
520 _aA historical dataset (soil water content; growth, phenology, yield) for six cultivars and three planting dates was used to evaluate the CERES3 crop growth model. Linear regression and a correlation matrix were used to identify model algorithms in need of calibration. Results indicated that the model simulates yield and kernel number with low accuracy under local conditions. Ears per plant and water stress before and during silking were identified as factors that could explain the low accuracy.||'n Historiese datastel (grondwaterinhoud, groei,fenologie en opbrengs) bestaande uit 6 curtivars en 3 plantdatums is gebruik om die CERES3 gewasgroeimodel te evalueer. Met behulp van linére regressie en korrelasie matriks is algoritmes in die model geidentifiseer wat gekalibreer moet word. Die resultate toon aan dat die model graan opbrengs en pitmassa met lae akkuraatheid simuleer. Aantal koppe per plant en water stremming voor en gedurende blom is as faktore geidentifiseer wat die lae akkuraatheid vir beide pit aantal en opbrengs simulasie verklaar|
546 _aEnglish
591 _a0010|AGRIS 0101|AL-Maize Program
593 _aJose Juan Caballero
595 _aCPC
650 1 0 _aEnvironmental factors
650 1 0 _aLinear models
650 1 0 _aPlant production
_91212
650 1 0 _aResearch projects
_91237
650 1 0 _aSimulation models
_92569
653 0 _aCIMMYT
650 1 0 _91314
_aZea mays
_gAGROVOC
650 1 0 _91313
_aYields
_gAGROVOC
700 1 _aBooysen, J.,
_ecoaut.
700 1 _aHuman, J.J.,
_ecoaut.
700 1 _aWhite, J.W.|Grace, P.
_eeds.
942 _cREP
999 _c9936
_d9936