TY - JOUR
T1 - The soiltestcorr R package
T2 - An accessible framework for reproducible correlation analysis of crop yield and soil test data
AU - Correndo, Adrian A.
AU - Pearce, Austin
AU - Bolster, Carl H.
AU - Spargo, John T.
AU - Osmond, Deanna
AU - Ciampitti, Ignacio A.
N1 - Funding Information:
Authors give special thanks to the funding sources for this initiative: (i) Feed the future Innovation Lab for Collaborative Research on Sustainable Intensification (SIIL) at Kansas State University through funding United States Agency for International Development (USAID) under the Cooperative Agreement (Grant number AID-OAA-L-14-00006 ), (ii) the USDA-ARS National Program 212 Soil and Air , (iii) the USDA-ARS National Programs for Natural Resources and Sustainable Agricultural Systems (Grant 58-8070-8-016 ), and (iv) the USDA-NRCS ( NR203A7500010C00C ). This is contribution no. 22-XYZ-J from the Kansas Agricultural Experiment Station.
Publisher Copyright:
© 2022 The Author(s)
PY - 2023/2
Y1 - 2023/2
N2 - The soiltestcorr 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 soiltestcorr enables users to correlate crop response to soil nutrient availability and estimate a critical soil test value and visualize results with ggplot 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.
AB - The soiltestcorr 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 soiltestcorr enables users to correlate crop response to soil nutrient availability and estimate a critical soil test value and visualize results with ggplot 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.
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U2 - 10.1016/j.softx.2022.101275
DO - 10.1016/j.softx.2022.101275
M3 - Article
AN - SCOPUS:85144020838
SN - 2352-7110
VL - 21
JO - SoftwareX
JF - SoftwareX
M1 - 101275
ER -