Data from: Tillage intensity effects on soil abiotic and biotic characteristics determine Zea mays yield following extreme rainfall events
Data files
Nov 04, 2025 version files 11.64 MB
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amf_community_data.csv
722.84 KB
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amf_taxonomy.csv
477.54 KB
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bacterial_community_data.csv
1.35 MB
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bacterial_taxonomy.csv
5.82 MB
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fungal_community_data.csv
1.01 MB
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fungal_taxonomy.csv
2.25 MB
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metadata.csv
3.46 KB
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README.md
6.04 KB
Abstract
Tillage effects on soils vary in their intensity of disturbance within a soil system. There are clear trade-offs between tillage methods; thus, farmers must navigate a complex balance between the appropriate level of disturbance to produce soil conditions that facilitate plant growth while minimizing the long-term loss of soil-related ecosystem services and effects of drought and extreme rainfall. This balance is exemplified in agricultural systems of the Midwestern US, where climate models predict increases in intermittent drought and extreme rainfall events. Here we tested how tillage affects soil abiotic and biotic characteristics, influenced the yield of Zea mays under high rainfall conditions. We found that as tillage intensity increased, the relative yield benefits provided by soil abiotic vs. biotic characteristics increased. Specifically, lower intensity tillage methods like no till and chisel till favored bacterial, fungal, and AM fungal taxa that were more beneficial to yield, while moldboard plowing benefited yield through increases to soil bulk density. While decreasing tillage intensity promoted positive effects of soil nutrient retention and soil microbes on yield, the lower soil bulk density in no till plots reduced yield due to poor drainage. Thus, there are complex interactions between tillage, climate, and soils that influence yield, and intermediate intensity tillage methods like chisel till may provide a useful balance between no till and moldboard plowing with changing precipitation regimes.
Dataset DOI: 10.5061/dryad.1ns1rn955
Description of the data and file structure
Data for repository: Tillage intensity effects on soil abiotic and biotic characteristics determine Zea mays yield following extreme rainfall events
In Soil & Tillage Research
Authors: Dr. Jacob R. Hopkins and Dr. Alison E. Bennett
metadata.csv contains yield, soil, and plot data
amf_community_data.csv contains arbuscular mycorrhizal fungal ASV data from the experiment
bacterial_community_data.csv contains bacterial ASV data from the experiment
fungal_community_data.csv contains fungal ASV data from the experiment
amf_taxonomy_table.csv contains arbuscular mycorrhizal fungal taxonomy information for each ASV
bacterial_taxonomy_table.csv contains bacterial taxonomy information for each ASV
fungal_taxonomy_table.csv contains fungal taxonomy information for each ASV
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metadata.csv: contains yield, soil, and plot data, collected August 2021
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sample: sample id
farm: farm site from which data was collected
tillage: tillage treatment for each sample (nt = no till, chisel = chisel till, convent = moldboard plow)
field: experimental block within each farm site
yield_Mg-ha: yield of Zea mays for each plot
pH: soil pH for each sample
gwc: soil gravimetric water content
bulk_density: soil bulk density for each sample
totn: total nitrogen for each soil sample
totc: total carbon for each soil sample
cn: carbon to nitrgoen ratio for each sample
totp: Mehlichs-3 phosphorous (inorganic phosphorous) level for each sample
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amf_community_data.csv: contains arbuscular mycorrhizal fungal ASV data from the experiment, collected August 2021
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sample_id: ID number for sample
farm: farm site from which data was collected
tillage: tillage treatment for each sample (nt = no till, chisel = chisel till, convent = moldboard plow)
field_rep: experimental block within each farm site
other columns: AM fungal ASVs, each column title represents a different amplicon sequence variant that corresponds with the amf_taxonomy_table.csv
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bacterial_community_data.csv: contains bacterial ASV data from the experiment, collected August 2021
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sample: ID number for sample
other columns: bacterial ASVs, each column title represents a different amplicon sequence variant that corresponds with the bacterial_taxonomy_table.csv
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fungal_community_data.csv: contains fungal ASV data from the experiment, collected August 2021
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sample: ID number for sample
farm: farm site from which data was collected
other columns: fungal ASVs, each column title represents a different amplicon sequence variant that corresponds with the amf_taxonomy_table.csv
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amf_taxonomy.csv: arbuscular mycorrhizal fungal taxonomy information for ASVs in amf_community_data.csv, collected August 2021
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ASV: ASV ID, corresponds with column in amf_community_data.csv
Kingdom: kingdom to which the ASV belongs
Phylum: phylum to which the ASV belongs
Class: class to which the ASV belongs
Order: order to which the ASV belongs
Family: family to which the ASV belongs
Genus: genus to which the ASV belongs
Species: species to which the ASV belongs
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bacterial_taxonomy.csv: bacterial taxonomy information for ASVs in bacterial_community_data.csv, collected August 2021
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Feature ID: ASV ID, corresponds with column in bacterial_community_data.csv
Confidence: confidence in taxonomic identification
Domain: kingdom to which the ASV belongs
Phylum: phylum to which the ASV belongs
Class: class to which the ASV belongs
Order: order to which the ASV belongs
Family: family to which the ASV belongs
Genus: genus to which the ASV belongs
Species: species to which the ASV belongs
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fungal_taxonomy.csv: fungal taxonomy information for ASVs in fungal_community_data.csv, collected August 2021
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Feature ID: ASV ID, corresponds with column in fungal_community_data.csv
Confidence: confidence in taxonomic identification
Kingdom: kingdom to which the ASV belongs
Phylum: phylum to which the ASV belongs
Class: class to which the ASV belongs
Order: order to which the ASV belongs
Family: family to which the ASV belongs
Genus: genus to which the ASV belongs
Species: species to which the ASV belongs
Code/software
R v. 4.4.2
packages: zCompositions, Vegan, lme4, emmeans, ALDEx2
