000			01414nab a22002537a 4500
001			G97145
003			MX-TxCIM
005			20171220113556.0
008			121211b |||p||p||||||| |z||| |
024	8		_ahttps://doi.org/10.1016/0304-3800(89)90007-0
040			_aMX-TxCIM
041	0		_aEn
100	1		_aRacsko, P.
245	0	0	_aAnalysis of mathematical principles in crop growth simulation models
260			_c1989
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0304-3800
520			_aComputer simulation is one of the most effective methods in the analysis and estimation of agricultural crop production. However, very little is known about the growth mechanism of the plants above the level of physiological processes. The unknown mechanisms are substituted by statistical models and experimental data. This fact raises the question of portability of the models to an environment different from the one used for identification. Many analysts formulate heuristic principles and build models on them. A relatively simple adaptation principle which can be used effectively in building crop growth models and carry out simulation experiments is presented.
546			_aEnglish
591			_aElsevier
593			_aCarelia Juarez
595			_aRPC
773	0		_tEcological Modelling _gv. 47, no. 3-4, p. 291-302
942			_cJA
999			_c29486 _d29486