000 02226nab a22002897a 4500
001 G96871
003 MX-TxCIM
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008 121211b |||p||p||||||| |z||| |
024 8 _ahttps://doi.org/10.1016/S0378-4290(98)00167-1
040 _aMX-TxCIM
041 0 _aEn
100 1 _aKeating, B.A.
245 0 0 _aModelling sugarcane production systems I. Development and performance of the sugarcane module
260 _c1999
500 _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0378-4290
520 _aResearch on more productive and sustainable sugarcaneproductionsystems would be aided by a comprehensive simulator of the sugarcane crop that is cognisant of a broader crop-soil-management system. A sugarcane crop model is described that can be deployed in the APSIM framework for agricultural systems simulation. The model operates on a daily time step, grows a leaf canopy, uses intercepted radiation to produce assimilate, and partitions this assimilate into leaf, structural stalk and sugar. The crop physiological processes represented in the model respond to the radiation and temperature environment and are sensitive to water and nitrogen supply. The model simulates growth, water use, N accumulation, sugar dry weight and fresh cane yield for plant and ratoon crops in response to climate, soil, management and genotypic factors. The model was developed on 35 datasets from Australia, Hawaii, South Africa and Swaziland, covering a wide range of crop classes, latitudes, water regimes and nitrogen supply conditions. Coefficients of determination for model predictions compared to observed data included 0.79 for LAI, 0.93 for crop biomass, 0.83 for stalk sucrose and 0.86 for N accumulation in above ground tissues. The particular strengths of this model are discussed in the context of agricultural systems simulation.
546 _aEnglish
591 _aElsevier
593 _aCarelia Juarez
595 _aRPC
700 1 _aHuth, N.I.,
_ecoaut.
_92213
700 1 _aMuchow, R.C.,
_ecoaut.
700 1 _aRobertson, M.J.,
_ecoaut.
773 0 _tField Crops Research
_gv. 61, no. 3, p. 253-271
942 _cJA
999 _c29298
_d29298