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Kashirkin, A.D.

1991

Sel' skokhozyaistvennaya Biologiya ( 3): 177-184

Basic mathematical model of seedling development

A basic model of seedling development, as a 2-factor regression connecting development index with time and temperature, is described. An algorithm fitting the non-linear functions of multiple variables to experimental data according to the Monte Carlo method is given. The development of the basic model using data on seed germination of Cucumis melo is described. The basic model is a superposition of exponential functions and Schrodter functions.
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