Use of nonlinear regression and nonlinear mathematical programming in the formulation of substrate mixtures for soil-less culture - a review -

• J.A Díaz-García ^[1] ; R Requejo-López ^[1]
  1. [1] Universidad Autónoma Agraria Antonio Narro

     Universidad Autónoma Agraria Antonio Narro

     México

     
• Localización: Journal of soil science and plant nutrition, ISSN-e 0718-9516, ISSN 0718-9508, Vol. 12, Nº. 1, 2012, págs. 87-97
• Idioma: inglés
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• Resumen

  • 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.