The Van Genuchten–Gupta model is an inverted S-curve applicable to crop yield and soil salinity relations.[1] It is named after Martinus Theodore van Genuchten and Satyandra K. Gupta's work from the 1990s.
The mathematical expression is:
Y=
Y\rm | |
1+(C/C50)P |
where Y is the yield, Ym is the maximum yield of the model, C is salt concentration of the soil, C50 is the C value at 50% yield, and P is an exponent to be found by optimization and maximizing the model's goodness of fit to the data.
In the figure: Ym = 3.1, C50 = 12.4, P = 3.75
As an alternative, the logistic S-function can be used.
The mathematical expression is:
Y\wedge=
1 | |
1+\exp(AXC+B) |
Y\wedge=
Y-Y\rm | |
Y\rm-Y\rm |
with Y being the yield, Yn the minimum Y, Ym the maximum Y, X the salt concentration of the soil, while A, B and C are constants to be determined by optimization and maximizing the model's goodness of fit to the data.
If the minimum Yn=0 then the expression can be simplified to:
Y=
Y\rm | |
1+\exp(AXC+B) |
In the figure: Ym = 3.43, Yn = 0.47, A = 0.112, B = -3.16, C = 1.42.
The third degree or cubic regression also offers a useful alternative.
The equation reads:
Y=AX3+BX2+CX+D
with Y the yield, X the salt concentration of the soil, while A, B, C and D are constants to be determined by the regression.
In the figure: A = 0.0017, B = 0.0604, C=0.3874, D = 2.3788. These values were calculated with Microsoft Excel
The curvature is more pronounced than in the other models.