Data from: Soybean yield is positively linked to organic matter, but planting date remains more influential
Data files
Dec 24, 2024 version files 57.12 KB
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Dataset_forRepositor12_6_24.xlsx
53.12 KB
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README.md
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Abstract
Establishing connections between soil health indicators and crop performance will help ensure that tests recommended to farmers relate to outcomes of interest. This study assessed the relationship of soybean [Glycine max (L.) Merr] yield with three common soil health indicators: soil organic matter (SOM), permanganate oxidizable carbon (POXC), and autoclaved citrate extractable nitrogen (ACE‐N). These tests were assessed alongside other factors (soil test phosphorus, soil test potassium [STK], mapped clay, planting date, summer precipitation, and location). Soil samples were collected from 457 producer‐managed fields between 2019 and 2021 in Arkansas, Michigan, North Carolina, and Wisconsin. Planting date and yield were reported by producers, while mapped clay and rainfall were determined using publicly available data. Simple linear regression was used to assess the relationship between soil health indicators and yield: the natural log of SOM and POXC were positively associated with soybean yield (R2 = 0.07, p < 0.001; R2 = 0.03, p < 0.001), while ACE‐N was not (p = 0.872). Multiple linear regression was used to further test the relationship of SOM and POXC with yield, while accounting for other factors that contribute to soybean yield. Models explained 27% of variation in yield, with significant factors including SOM or POXC, soybean planting date, STK, and mapped clay. Based on standardized coefficients, planting date was the most influential factor associated with yield. Broadly, our results indicate that improvements in yield are linked to higher SOM, but management decisions like planting early are critical for achieving high yields.
README: Data from: Soybean yield is positively linked to organic matter, but planting date remains more influential
https://doi.org/10.5061/dryad.34tmpg4v8
Description of the data and file structure
This study looked at the relationship of soybean yield and soil organic matter (and other soil health tests) on 457 farmer fields.
Files and variables
File: Dataset_forRepository11_20_24.xlsx
Description: Each sample is from one field. As coordinates of each field would be identifying information for participating farms, locations are included based on US Counties.
Variables
- | Collumn Name | Description & Units | | :------------ | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Year | Year of sampling and crop yield | | State | US State Name (or region, a small number of Wisconsin samples were in surrounding states) Abbreviations are as follows, AR = Arkansas, MI = Michigan, NC = North Carolina, WI = Wisconsin | | Soybean Yield | Farmer reported soybean seed yield, in kilograms per hectare | | Planting Date | Farmer reported planting date, in day-of-year format | | Summer Precip | The sum of June, July, and August precipitation from Daymet’s monthly climate summaries on a 1 km grid, in millimeters | | pH | soil pH | | STP | Bray-1 soil test phosphorus, in milligrams per kilogram of soil | | STK | Bray-1 soil test potassium, in milligrams per kilogram of soil | | Percent Clay | Percent clay in top 15 cm, determined through Web Soil Survey | | OM-LOI | Organic matter loss on ignition, in % | | POXC | Permanganate oxidizable carbon, in milligrams per kilogram of soil | | ACE-N | Autoclave citrate extractable nitrogen, in grams per kilogram of soil | | County | U.S. County name, in lieu of coordinates. Coordinates would identify study participants (the 12 samples in Wisconsin border states have their state in parentheses) |
Code/software
Microsoft excel or another spreadsheet software is needed to view this data.
Access information
Data was derived from the following sources:
- Generated data in a laboratory
- Daymet
- Web Soil Survey