Calibration and interpretation of soil testing is probably the biggest challenge for soil fertility management. The results of soil tests must be calibrated according to the response of the crops as a result of the use of the relevant phytonutrients. This information is obtained from field experiments on different types of soil and greenhouse fertility experiments. The yield reaction obtained from the ratio of applied nutrients may then be related to the number of nutrients present in the soil.
Importance of calibration and interpretation of soil testing
The results of long-term soil test titration studies on different soil types are used to determine the phytonutrients recommended for application in a particular crop at a specific soil test level. For example, if the soil test P level is in the range of 0-10 ppm (it is low), then the recommended P for maize production at 150 mc/acre may be P2O5 per 100 lbs/acre. However, if the soil test level is above P 40 ppm (too high), the recommendation maybe 0 to 20 pounds per acre. All kinds of soil samples testing requires calibration and interpretation of soil testing results to optimise the use of fertilisers for soil fertility.
In this example, on the right, more than 85% of the fields tested on a very small percentage of specific phytonutrients may respond to a lucrative yield of additional nutrients. At a very high level of phytonutrients, there is only a 15% chance of increasing profitable production of additional nutrients. These values are arbitrary, but they show the idea of expecting an answer. This calibration and interpretation of soil testing may be a difficult task so you can search for soil testing near me to get soil testing services.
Location-related management tools for soil testing calibration and interpretation
Location-related management tools now allow farmers to manage more cohesive areas in the fields. Some of these areas have higher efficiency than databases where most of the available soil tests are calibrated. The lack of calibration for high-yield areas is one of the factors that has sparked interest in using satellite global positioning of production screens and tape tests to determine the abundance of soil fertility programs. The new EG Micro Tools can develop algorithms that allow multiple site-specific regions to be managed in single domains. This means that a balanced crop feeding recipe can be spread over every square foot in every field. Calibration and interpretation of soil testing results is also important to know about what factors contribute to soil fertility and how to restore soil fertility.
Correlation vs Titration for calibration and interpretation of soil testing
Correlation and titration are terms that scientists use to classify the research required to develop a soil experiment. The difference between correlation and titration is explained below.
Correlation is the relationship between the number of nutrients extracted from the soil by laboratory tests and the nutrients produced by plants and/or crops in a greenhouse or field. If such a relationship cannot be established, the chemical method has little or no benefit. Sometimes this relationship can only be based on a single nutrient and a specific crop group and soil. If this limitation is known and accepted, soil testing should only be used for these limited conditions.
Titration is a method of establishing a relationship between the value of a particular soil test and the response to adding nutrients to the soil as fertiliser. The data in Table 9.2 gives alfalfa grass produced from multiple phosphorus ratios applied when the soil phosphorus level for this study was eight parts per million. Such field tests are repeated when the phosphorus level in the soil is between 2 and 30 ppm.
The maximum amount to apply P2O5 to this site will be 60 to 80 pounds per acre. However, many tests are needed to make general recommendations for the region. When conducting similar experiments in multiple locations, analysis of crop interaction allows researchers to estimate the fertilisers needed at different levels of phosphorus in the soil. The result of the calibration effort is to determine the amount of phosphorus fertiliser on different soil surfaces to achieve maximum yield.
Correlation and Titration for calibration and interpretation of soil testing
By combining correlation research with titration, we can predict the probability of a reaction using a particular nutrient. In addition, we can recommend the best possible fertiliser to ensure the most economical return. As the price of a particular crop and the price of fertiliser change, recommendations for the same soil test price may change over time.
By performing several of these experiments, scientists can determine the yield potential at a given soil level and the amount of fertiliser needed to make this discovery. Depending on factors other than soil test levels, the response of crops to any soil test surface will vary greatly. The correct interpretation of soil test results includes other management factors such as risk, climate, and economy. Without a research database, these recommendations would not be possible, and the maximum economic return would not be possible.