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Journal of soil science and plant nutrition

versión On-line ISSN 0718-9516

Resumen

DIAZ-GARCIA, J.A  y  REQUEJO-LOPEZ, R. Use of nonlinear regression and nonlinear mathematical programming in the formulation of substrate mixtures for soil-less culture - a review -. J. Soil Sci. Plant Nutr. [online]. 2012, vol.12, n.1, pp. 87-97. ISSN 0718-9516.  http://dx.doi.org/10.4067/S0718-95162012000100008.

With respect to four inorganic and organic substrates - tezontle (volcanic rock), perlite, peat and coir - we studied the relevant physical and chemical properties of mixtures of two of these substrates. A nonlinear regression model was used to analyse the physical properties of each possible mixture. Finally, a methodology is proposed for formulating mixtures of substrates as a deterministic nonlinear mathematical programming problem.

Palabras clave : Coir; Peat; Nonlinear regression; Nonlinear optimisation; Substrate mixtures; Tezontle.

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