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Guidelines to Optimize the Macrocation and Macroanion Composition of Nutrient Solutions using Mixture Theory

✍ Scribed by G. De Rijck; E. Schrevens

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
191 KB
Volume
72
Category
Article
ISSN
0021-8634

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✦ Synopsis

This research elaborates a justified methodology to optimize the macrocation and/or macroanion composition of nutrient solutions in a lower bound constrained experimental region. The ionic balance constraint defines nutrient solutions as ''mixture systems'' and makes it impossible to experiment with the mineral composition of nutrient solutions in a classical orthogonal or a unifactorial way.

Mixture systems demand a specific design and analysis of the experiments. Experimental designs are elaborated, optimizing both the macrocation and the macroanion composition of the nutrient solution for one total ionic concentration. Both a first and a second-order model are used to represent the response surface over the experimental region as a function of the composition.

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SW—Soil and Water: Methodology to simultaneously optimize the Macrocation and the Macroanion Composition of Nutrient Solutions, using Mixture Theory
✍ G. De Rijck; E. Schrevens 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 312 KB

To illustrate the use of mixture theory to simultaneously optimize the macrocation and the macroanion composition of a hydroponical nutrient solution, a +3,2;3,2, double lattice design was established in the double mixture factor space (K>, Ca>, Mg>, NO\ , H PO\ and SO\ ). Only one response variable