000			00595nab|a22002177a|4500
999			_c62882 _d62874
001			62882
003			MX-TxCIM
005			20201123210519.0
008			201107s1984||||xxu|||p|op||||00||0|eng|d
022			_a0013-8746
022			_a1938-2901 (Online)
024	8		_ahttps://doi.org/10.1093/aesa/77.2.208
040			_aMX-TxCIM
041			_aeng
100	1		_aWagner, T.L. _917068
245	1	0	_aModeling insect development rates : _ba literature review and aplication of a biophysical model
260			_aUSA : _bOxford University Press, _c1984.
500			_aPeer review
520			_aThe importance of predicting the seasonal occurrence of insects has led to the formulation of many mathematical models that describe development rates as a function of temperature. Yet many of the widely used models do not provide acceptable results for predicting development times. After a careful review of the literature, we believe the biophysical model of Sharpe and DeMichele (1977; J. Theor. Biol. 64: 649–670) is the most suitable for this purpose. This model provides an excellent description of development rates over a full range of temperatures, and can be modified easily to describe rates over a portion of that range. Herein we review the literature on modeling insect development rates, describe the Sharpe and DeMichele model, and present easy instructions for its use. A computer program, assembled from the Statistical Analysis System (SAS) Library, determines the correct number of parameters to be used in the model for a given data set, selects starting values of these parameters for nonlinear regression, and computes least-square estimates of the parameters by using Marquardt techniques.
546			_aText in English
650		7	_aInsecta _2AGROVOC _95800
650		7	_aSeasonality _2AGROVOC _911111
650		7	_aMathematical models _2AGROVOC _93706
700	0		_917069 _aHsin-I Wu
700	1		_917070 _aSharpe, P.J.H.
700	1		_917071 _aSchoolfield, R.M.
700	1		_917072 _aCoulson, R.N.
773	0		_gv. 77, no. 2, p. 208-220 _dUSA : Oxford University Press, 1984. _x0013-8746 _tAnnals of the Entomological Society of America _wu444144
942			_cJA _n0 _2ddc