Practical Considerations When Selecting a Soil Testing Laboratory for an Educational Program

Jerry Neufeld
Extension Educator-Crops
University of Idaho Cooperative Extension System
Caldwell, Idaho
Internet address: jerryn@uidaho.edu

Jay Davison
Area Specialist
Nevada Cooperative Extension
Fallon, Nevada
University of Nevada, Reno

Introduction

Cooperative Extension professionals and program collaborators commonly use laboratory analysis of soil samples in educational programs to assist in quantifying the nutrient status of soils. When done properly, soil testing is a highly effective tool in producing high crop yields for the lowest possible costs. However, inaccurate analysis can result in additional costs, lowered production, or environmental damage from excessive fertilizer applications. The accuracy of soil testing is dependent upon proper field sampling techniques and laboratory analysis.

This article discusses variability of results associated with soil testing laboratories and suggests practical actions that Extension professionals and program collaborators can take to select a laboratory that provides accurate and precise soil testing information.

Reasons for Soil Testing

In areas under intense cultivation for many years, current crop production practices remove nutrients from the soil faster than they can be replaced by natural soil formation processes. Therefore, periodic soil testing is necessary and the only tool available to quantitatively determine current soil nutrient levels. It is widely accepted in production agriculture that soil testing is a practice that helps producers obtain high yields while enabling them to use best management practices that benefit the environment (Hawkes et al., 1985). If, however, a producer is using inaccurate soil fertility data, he or she may apply fertilizer when there is no likelihood that the application will increase yield or profits. Conversely, if the soil fertility analysis data does not indicate a need for fertilizer when it is needed, maximum economic yields may be foregone and income lost.

Agricultural producers in Idaho, Nevada, and many other areas of the U.S. are experiencing pressure from various environmental groups and government agencies to reduce non-point sources of pollution. Nitrogen and phosphorous fertilizers applied to agricultural lands are sources of environmental degradation, and their detrimental effects have been well documented (Ongley, 1996).

Principal problems related to agricultural runoff are contamination of surface and ground water; loss of ecosystem diversity; ecosystem dysfunction; and increases in water-borne diseases (Ongley, 1996). Agricultural crops require large amounts of macronutrients; therefore, frequent applications are necessary for optimum crop production. Accurate and precise soil analysis enables producers to apply only the amount of fertilizers needed by the crop, thereby reducing the potential for offsite movement.

Definition of the Problem

Hundreds of laboratories in North America analyze agricultural soil samples. Consequently, there are varying levels of quality in the analytical results being provided to the customer. Also contributing to soil testing variability are the different extraction methods used to quantify the same soil constituents. Certain extraction methods have been shown through research to be more accurate and precise than other methods (Miller & Kotuby-Amacher, 1996), while other extraction methods are applicable to only certain types of soil and climates (Ankerman & Large). There are no certified reference standards across the soil testing industry for quantitatively evaluating the fertility status of agricultural soil samples. All of these factors can contribute to a high degree of reporting variability.

Analytical results from soil testing laboratories can be highly variable within individual laboratories as well as between laboratories. There are methods that can be used to deal with variability when submitting large quantities of samples. For example, soil samples with known properties (reference samples) can easily be submitted as a set of blind samples within a larger set of soil samples. The results on the reference sample can then be evaluated for deviations from its known properties.

However, the authors and most producers are more likely to submit small numbers of samples. When small numbers of samples are submitted, it is harder to check on the accuracy and precision of the laboratories' results. The authors' experience indicates that it is often difficult to determine when analytical results obtained from soil testing laboratories are accurate and that excessive variability between and within laboratories is the norm rather than the exception. Therefore, a project to evaluate the variability between and within several laboratories likely to conduct soil analysis work for northern Nevada producers was undertaken. A set of recommendations to assist Cooperative Extension professionals and clientele in selecting an accurate and precise soil testing laboratory was also developed.

Materials and Methods

In 1995 and 1996, the authors conducted a project to document and evaluate soil testing variability problems encountered when using commercial soil testing laboratories. In the fall of 1995, two 5-gallon samples of Creemon silt loam soil were collected from the upper 12 inches of soil from two locations in an alfalfa field south of Battle Mountain, Nevada. Each sample was air dried, crushed, and passed through an eighteen-mesh screen to remove large particles and debris. The samples were then thoroughly mixed to make a uniform composite sample. Each composite sample was used to fill 20 soil bags, for a total of 40 samples.

Two samples from each composite sample were sent to five different soil testing laboratories (each laboratory received four samples). Two weeks later, the remaining two samples from each composite sample were sent to the same five laboratories. This procedure was repeated in the fall of 1996, except a Sonoma silt loam from Lovelock, Nevada, was used. In summary, each laboratory evaluated four replications of four different soil samples over a period of 2 years (80 samples total).

Soil laboratories commonly use different extraction methods to analyze for the same soil constituents. Nine different soil constituents were analyzed for precision in this project. They were selected because the five laboratories use the same extraction method for these constituents, thus making direct comparisons possible. Table 1 lists the constituents, the extraction methods, and units used for this project.

Table 1.

Constituents Analyzed, Extraction Methods, and Units Used

The analytical results received from the laboratories were summarized and then compared to the North American Proficiency Testing Program (NAPT, formerly called the Western States Proficiency Testing Program) values for the same years. The NAPT objectives are: 1) to provide an external measure of individual laboratory accuracy, 2) to develop a framework for improving the long-term quality of agricultural analyses, and 3) to identify levels of accuracy and precision for specific analytical methods (Miller & Kotuby-Amacher, 1996).

The NAPT's objectives are met through an intensive program whereby soil samples with known properties are submitted to voluntarily participating laboratories on a quarterly basis. Each laboratory analyzes the soil samples for nutrient status using established analytical procedures. (Miller & Kotuby-Amacher, 1998) Laboratories provide their results to the NAPT, where they are compiled and analyzed statistically. The statistical results provided by the NAPT to each laboratory show how they performed on the quarterly sample analysis compared to all other participating laboratories.

A statistical procedure called the "relative standard deviation" (RSD) is the main procedure used to evaluate laboratory results for precision. RSD is also known as "coefficient of variation" (CV). The RSD is a measure of the relative dispersion of the values in a data set (Little & Hills, 1978). RSD is calculated by dividing the standard deviation by the mean from a data set and then multiplying the dividend by 100. The lower the RSD value, the higher the level of precision. In 1995, the NAPT calculated an RSD value for 35 soil constituents submitted from 102 laboratories. In 1996, the NAPT calculated RSD values for 35 soil constituents submitted from 104 participating laboratories.

Laboratories participating in the NAPT can use the statistical data to compare their analytical results to industry-wide values and ultimately improve their analytical procedures. The NAPT does not provide data to the public about specific laboratories. Interested people must inquire from their individual laboratories as to whether or not they participate in this or any other proficiency program and whether they will share their proficiency testing data with you. However, the NAPT program does provide an annual report to the public with a summary of the data collected.

Following is an example of how proficiency testing program data can be used in a Cooperative Extension crops program. Anyone can request the annual report summarizing soil testing accuracy and precision results from the NAPT. You can also ask your laboratory to provide results from their participation in the NAPT. A review of the data will show how your laboratory compares to all other participating laboratories. As a rule of thumb, the NAPT suggests that accuracy data should be no greater than 10% of industry-wide values. Precision values (RSD) for individual laboratories should be no greater than 15% of industry-wide values and are analysis dependent (R. O. Miller, personal communication, April 1, 1998).

Results and Discussion

There is a wide range of variability between and within the results received from the five laboratories conducting the soil analyses for this project. Table 2 shows median RSD values obtained from the NAPT for 1995. This table also shows RSD values from the laboratories participating in this study in 1995. Table 3 shows the same data for 1996. RSD values exceeding the median NAPT values plus 15% are shown in bold type. Any RSD value exceeding the median NAPT value plus 15% indicates a lack of precision.

Table 2.

1995 NAPT RSD Values and Sampled Laboratory RSD Values