data_test

Example dataset containing hypothetical pairs of soil test value (STV)
and relative yield (RY).

datasets

A compilation of functions designed to assist users on the correlation analysis of crop yield and soil test values. Functions to estimate crop response patterns to soil nutrient availability and critical soil test values using various approaches such as: 1) the modified arcsine-log calibration curve (Correndo et al. (2017) <doi:10.1071/CP16444>); 2) the graphical Cate-Nelson quadrants analysis (Cate & Nelson (1965)), 3) the statistical Cate-Nelson quadrants analysis (Cate & Nelson (1971) <doi:10.2136/sssaj1971.03615995003500040048x>), 4) the linear-plateau regression (Anderson & Nelson (1975) <doi:10.2307/2529422>), 5) the quadratic-plateau regression (Bullock & Bullock (1994) <doi:10.2134/agronj1994.00021962008600010033x>), and 6) the Mitscherlich-type exponential regression (Melsted & Peck (1977) <doi:10.2134/asaspecpub29.c1>). The package development stemmed from ongoing work with the Fertilizer Recommendation Support Tool (FRST) and Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification (SIIL) projects.

Adrian A. Correndo

soiltestcorr

Soil Test Correlation and Calibration

Austin Pearce

Fernando Miguez

Deanna Osmond

Ignacio A. Ciampitti

data_test function

this data frame has 137 rows and the following 2 columns:<dl>
<dt>STV</dt>
<dd>soil test value</dd><dt>RY</dt>
<dd>relative yield, %</dd>
</dl>

Format

Dataset 1 — data_test

this data frame has 137 rows and the following 2 columns:<dl>
<dt>STV</dt>
<dd>soil test value</dd>

<dt>RY</dt>
<dd>relative yield, %</dd>


</dl>

data_test: Dataset 1

Description

Usage

Arguments

Format