2023 journal article

The soiltestcorr R package: An accessible framework for reproducible correlation analysis of crop yield and soil test data


By: A. Correndo*, A. Pearce, C. Bolster, J. Spargo, D. Osmond & I. Ciampitti

author keywords: Programming; Agriculture; Soil fertility; Crop nutrition
Source: Web Of Science
Added: January 23, 2023

<h2>Abstract</h2> The <i>soiltestcorr</i> R package is an open-source software designed to enable accessible and reproducible computation of correlation analyses between crop yield response to fertilization and soil test values. The package compiles a series of functions for analyzing soil test correlation data: (i) Cate & Nelson data partitioning procedure (graphical and statistical versions), (ii) nonlinear regression analysis (linear-plateau, quadratic-plateau, and Mitscherlich-type exponential models), and (iii) the modified arcsine-log calibration curve. The <i>soiltestcorr</i> enables users to correlate crop response to soil nutrient availability and estimate a critical soil test value and visualize results with <i>ggplot</i> without requiring advanced R programming skills. Finally, a web application that facilitates the use of the package is also offered for users with no background in R programming.