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Bacterial and archaeal 16S rRNA and fungal ITS sequences after cover cropping in long-term corn monocultures with and without N fertilization

dataset
posted on 2024-06-11, 06:50 authored by University of Illinois
This study sought to identify microbial indicators of soil health after introducing cover crops to a long-term corn monoculture with and without N fertilization. The study was a 3x2 split-plot arrangement of N rates (0, 202, 268 kg N/ha) and cover crop (ceral rye and hairy vetch mixture) treatments in a randomized complete block design with three replicates sampled in 2019 and 2020. The site was in Monmouth, Illinois, USA. Indicators from this study will serve to compare the soil microbiota across systems and become primary information to assess and optimize cover cropping strategy for sustainable agriculture. Each sample name shows the CC treatment (CC: cover crop; BF: bare fallow), N rate treatment (0, 202, 269 kg N/ha) - plot number - year of the study (2019, 2020). Each sample contains a sequence for each taxa (bac, arc, fun), replicate (R1, R2, R3), and sequence direction (forward, reverse). 2020 samples had two runs. Thus, 2019 samples each contain 18 sequences, and 2020 samples each contain 36 samples, accounting to a total of 972 sequences.

Funding

National Institute of Food and Agriculture, AG 2018-67019-27807

National Institute of Food and Agriculture, ILLU-802-948

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2022-02-22

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA809390

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA809390 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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