Evidence map›Paper›PMID 30177867›Full record

ArticleApplied soil ecology : a section of Agriculture, Ecosystems & Environment2018

Spatial structuring of soil microbial communities in commercial apple orchards.

Greg Deakin, Emma L Tilston, Julie Bennett, Tom Passey, Nicola Harrison, Felicidad Fernández-Fernández, Xiangming Xu

Abstract read
In one paragraph

Article in Applied soil ecology : a section of Agriculture, Ecosystems & Environment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
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  3. Metagenomic Analysis of Wild Apple (Plants (Basel, Switzerland) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Greg DeakinNIAB EMR, East Malling, West Malling, Kent ME19 6BJ, UK.
Emma L TilstonNIAB EMR, East Malling, West Malling, Kent ME19 6BJ, UK.
Julie BennettNIAB EMR, East Malling, West Malling, Kent ME19 6BJ, UK.
Tom PasseyNIAB EMR, East Malling, West Malling, Kent ME19 6BJ, UK.
Nicola HarrisonNIAB EMR, East Malling, West Malling, Kent ME19 6BJ, UK.
Felicidad Fernández-FernándezNIAB EMR, East Malling, West Malling, Kent ME19 6BJ, UK.
Xiangming XuNIAB EMR, East Malling, West Malling, Kent ME19 6BJ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterising spatial microbial community structure is important to understand and explain the consequences of continuous plantation of one crop species on the performance of subsequent crops, especially where this leads to reduced growth vigour and crop yield. We investigated the spatial structure, specifically distance-decay of similarity, of soil bacterial and fungal communities in two long-established orchards with contrasting agronomic characteristics. A spatially explicit sampling strategy was used to collect soil from under recently grubbed rows of apple trees and under the grassed aisles. Amplicon-based metabarcoding technology was used to characterise the soil microbial communities. The results suggested that (1) most of the differences in soil microbial community structure were due to large-scale differences (i.e. between orchards), (2) within-orchard, small-scale (1-5 m) spatial variability was also present, but spatial relationships in microbial community structure differed between orchards and were not predictable, and (3) vegetation type (i.e. trees or grass and their associated management) can significantly alter the structure of soil microbial communities, affecting a large proportion of microbial groups. The discontinuous nature of soil microbial community structure in the tree stations and neighbouring grass aisles within an orchard illustrate the importance of vegetation type and allied weed and nutrient management on soil microbial community structure.

Indexed as

Distance-decay of similarityGrassSpatial autocorrelationTrees

Identifiers

PMID30177867
PMCPMC6102658

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.