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Microbial community structure is affected by cropping sequences and bio-covers under long-term no-tillage

Dataset homepage

Citation

MGnify (2019). Microbial community structure is affected by cropping sequences and bio-covers under long-term no-tillage. Sampling event dataset https://doi.org/10.15468/ivx4il accessed via GBIF.org on 2022-07-02.

Description

Changes in soil bacterial community composition were assessed in response to cropping sequences and bio-covers at long-term no-tillage sites. Main effects of 4 four different cropping sequences of corn (Zea mays L.), cotton (Gossypium hirsutum L.), and soybean (Glycine max L.) were rotated in four year phases for 12-yrs at two Tennessee Research and Education Centers in a randomized complete block design with split-block treatments of four winter bio-covers: hairy vetch (Vicia villosa L.), wheat (Triticum aestivum L.), poultry litter, and a fallow control. Using Illumina high-throughput sequencing of 16S rRNA genes, bacterial community composition was determined.

Sampling Description

Sampling

Changes in soil bacterial community composition were assessed in response to cropping sequences and bio-covers at long-term no-tillage sites. Main effects of 4 four different cropping sequences of corn (Zea mays L.), cotton (Gossypium hirsutum L.), and soybean (Glycine max L.) were rotated in four year phases for 12-yrs at two Tennessee Research and Education Centers in a randomized complete block design with split-block treatments of four winter bio-covers: hairy vetch (Vicia villosa L.), wheat (Triticum aestivum L.), poultry litter, and a fallow control. Using Illumina high-throughput sequencing of 16S rRNA genes, bacterial community composition was determined.

Method steps

  1. Pipeline used: https://www.ebi.ac.uk/metagenomics/pipelines/4.1

Taxonomic Coverages

Geographic Coverages

Bibliographic Citations

Contacts

originator
University of Tennessee
metadata author
University of Tennessee
administrative point of contact
University of Tennessee
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