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Quantifying the immediate response of the soil microbial community to different grazing intensities on irrigated pastures

dataset
posted on 2024-06-11, 06:30 authored by Pennsylvania State University
Grazing is well known to affect soil microbial communities, nutrient cycling, and forage quantity and quality over time; however, there is a knowledge gap regarding the immediate effect of grazing severities on soil biology. Soil microbes drive nutrient cycling and are involved in plant-soil-microbe relationships, making them potentially vulnerable to plant-driven changes in the soil environment caused by grazing. To test the hypothesis that grazing severities modulate immediate effects on the soil microbial community, we conducted a grazing trial of two management approaches; high-intensity, short-duration grazing (HDG) and low-intensity, medium-duration grazing (LDG), along with an ungrazed control (NG). Soil and vegetation samples were collected before grazing and 24 hours, 1 week, and 4 weeks after grazing began. Soil labile carbon (C) and nitrogen (N) pools, vegetation biomass, and soil microbial community and functional traits were determined, including extracellular enzymatic assays and high-throughput sequencing of the bacterial 16S rRNA and fungal ITS2 regions. We found that labile soil C and N increased following the LDG grazing while C-cycling extracellular enzymatic activities increased in response to HDG grazing but total extracellular enzymatic activity profiles were strongly affected by sampling time. The soil fungal community structure was strongly affected by the interaction of sampling time and grazing treatment, while the soil bacterial community was largely resilient to change. We found evidence of seasonal influences on soil biogeochemical and microbial parameters, even over a narrow sampling time.

Funding

National Institute of Food and Agriculture, GW18-025

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2020-08-19

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA658147

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 PRJNA658147 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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