@article{a5b2dd107daf41eb99242721a7bf697d,
title = "A spreadsheet for determining critical soil test values using the modified arcsine-log calibration curve",
abstract = "Soil test correlation data are often used to identify a critical soil test value (CSTV), above which crop response to added fertilizer is not expected. Oftentimes, models are used to determine the CSTV from soil test correlation data, yet most commonly used models have inherent assumptions that may not be valid for these data. The arcsine-log calibration curve (ALCC) was developed in response to the statistical limitations of other commonly used models. A modified ALCC model using standardized major axis regression further improves this model's applicability to soil test correlation data. Here, we describe a Microsoft Excel spreadsheet for calculating CSTV from soil test correlation data using the modified ALCC model. The spreadsheet is available for download providing an accessible and easy-to-use tool for those who would like to use this method but who lack the experience with more sophisticated coding programs. The spreadsheet is available for download at http://www.ars.usda.gov/ALCC.",
author = "Bolster, {Carl H.} and Correndo, {Adrian A.} and Pearce, {Austin W.} and Spargo, {John T.} and Slaton, {Nathan A.} and Osmond, {Deanna L.}",
note = "Funding Information: We are grateful for the comments provided by two anonymous reviewers on our manuscript. Funding for A. Pearce was provided by USDA‐NRCS (Grant 69‐3A75‐17‐45) and USDA‐ARS (Grant 58‐8070‐8‐016). This research was part of USDA‐ARS National Program 212: Soil and Air. Mention of a trade name, proprietary product, or vendor is for information only and does not guarantee or warrant the product by the USDA and does not imply its approval to the exclusion of other products or vendors that may also be suitable. The USDA is an equal opportunity provider and employer. Funding Information: We are grateful for the comments provided by two anonymous reviewers on our manuscript. Funding for A. Pearce was provided by USDA-NRCS (Grant 69-3A75-17-45) and USDA-ARS (Grant 58-8070-8-016). This research was part of USDA-ARS National Program 212: Soil and Air. Mention of a trade name, proprietary product, or vendor is for information only and does not guarantee or warrant the product by the USDA and does not imply its approval to the exclusion of other products or vendors that may also be suitable. The USDA is an equal opportunity provider and employer. Publisher Copyright: {\textcopyright} 2022 The Authors. Soil Science Society of America Journal published by Wiley Periodicals LLC on behalf of Soil Science Society of America. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.",
year = "2023",
month = jan,
day = "1",
doi = "10.1002/saj2.20498",
language = "English (US)",
volume = "87",
pages = "182--189",
journal = "Soil Science Society of America Journal",
issn = "0361-5995",
publisher = "Soil Science Society of America",
number = "1",
}