
05/09/2025
đ Data in any industry is everything. So long as you know what it means that is!
In the fertiliser game it's common practice to collect soil data but how many actually look at it & truly understand its meaning? Further still, how many then apply that to what's done next rather than carry on with the status quo?
Most (reps) collect the data but regardless of the results, apply the same product & rate ignoring any change that may, or may not have been seen in the soil analysis.
âSo why test?
Collecting data for the sake of just having the numbers is a completely pointless, expensive exercise when that data is not interpreted correctly or is not applied.
I would argue that the majority of the soil testing that occurs is to simply tick a box âď¸ (both at sales rep & farmer level) & superficially give the impression nutrient inputs are justified by the data.
But are they really? Typically not.
Some of the major soil parameters that are poorly understood & misinterpreted include pH, phosphorus & sulphur:
đŠâđŹSoil pH
In basic terms, it's the level of free acidity in solution. Is looking at the pH & determining if your soil is or isn't the 'ideal' pH as straight forward as it sounds? A definitive no đŤ
âWhy?
pH can be influenced significantly by a number of factors:
đ§Moisture
đĄď¸Temperature
đ§ŞCation status
đŹLab margin of error (+\- 0.2 think about that for a minute!)
The most common misconception is that an 'optimal' pH therefore means you have optimum calcium which is a rookie mistake because there can be a level of elevation (sometimes large) when soil potassium, magnesium or sodium are high - a common misinterpretation often, ignoring a clear calcium deficiency which is then never rectified at the plant's, the animal's & farm's long-term expense đ¸
đŠâđŹSoil phosphorus
Most apply the archaic Olsen P which was scientifically concluded as a poor predictor of production.
âWhy?
Largely due to it being tested at a pH 8.5 where the soil chemistry behaves the complete opposite to what occurs in an acidic (