Figure 1.
Effects of the CGW:P ratio on the physical characteristics of growth media.
The linear regression equations, lines of best fit, F values, and adjusted R2 values are shown. BD = bulk density; WHC = water-holding capacity; TPS = total porosity; AP = aeration porosity; WHP = water-holding porosity.
Table 1.
Linear regression (with ANOVA) statistics describing the effects of the CGW:P ratio on the physical characteristics of the growth media.
Figure 2.
Effects of the CGW:P ratio on the particle distribution at the start of the experiment.
The linear regression equations, lines of best fit, F values, and adjusted R2 values are shown.
Figure 3.
Effects of the CGW:P ratio on the chemical characteristics of growth media.
The linear regression equations, lines of best fit, F values, and adjusted R2 values are shown. EC = electrical conductivity (at 25°C); TOC = total organic carbon; TN = total Kjeldahl nitrogen; TP = total phosphorus; TK = total potassium.
Figure 4.
Effects of the CGW:P ratio on the particle distribution at the end of the experiment.
The linear regression equations, lines of best fit, F values, and adjusted R2 values are shown.
Table 2.
Linear regression (with ANOVA) statistics describing the effects of the CGW:P ratio on the percentage of each particle size (in mm) for each growth medium at the start of the experiment.
Table 3.
Linear regression (with ANOVA) statistics describing the effects of the CGW:P ratio on the percentage of each particle size (in mm) for each growth medium at the end of the experiment.
Figure 5.
Effects of the CGW:P ratio on the biomasses of shoots and roots of Calathea insignis.
The quadratic regression equations, lines of best fit, F values, and adjusted R2 values are shown.
Figure 6.
Effects of the CGW:P ratio on the growth parameters of Calathea insignis.
The quadratic regression equations, lines of best fit, F values, and adjusted R2 values are shown.
Table 4.
Quadratic regression (with ANOVA) statistics describing the effects of the CGW:P ratio on the biomasses (fresh and dry) of shoots and roots of Calathea insignis.
Table 5.
Quadratic regression (with ANOVA) statistics describing the effects of the CGW:P ratio on the plant height, the longest root length, crown breadth, and leaf number of Calathea insignis.
Figure 7.
Effects of the CGW:P ratio on some characteristics of Calathea insignis root systems.
The quadratic regression equations, lines of best fit, F values, and adjusted R2 values are shown.
Table 6.
Quadratic regression (with ANOVA) statistics describing the effects of the CGW:P ratio on some characteristics of Calathea insignis roots.
Figure 8.
Effects of the CGW:P ratio on the contents of macro-nutrients in Calathea insignis leaves.
The quadratic regression equations, line of best fits, F values, and adjusted R2 values are shown.
Figure 9.
Effects of the CGW:P ratio on the contents of micro-nutrients in Calathea insignis leaves.
The quadratic regression equations, lines of best fit, F values, and adjusted R2 values are shown.
Table 7.
Quadratic regression (with ANOVA) statistics describing the effects of the CGW:P ratio on the contents of macro-nutrients (TN, TP, TK, Ca, and Mg) in Calathea insignis leaves.
Table 8.
Quadratic regression (with ANOVA) statistics describing the effects of the CGW:P ratio on the contents of micro-nutrients (Fe, Cu, Mn, Zn, and B) in Calathea insignis leaves.
Figure 10.
Effects of the CGW:P ratio on photosynthetic pigment contents in Calathea insignis leaves.
The quadratic regression equations, lines of best fit, F values, and adjusted R2 values are shown.
Table 9.
Quadratic regression (with ANOVA) statistics describing the effects of the CGW:P ratio on the photosynthetic pigment contents (based on fresh weight) in Calathea insignis leaves.