Evidence map›Paper›PMID 37600963›Full record

ArticlePlant and soil2023

Absence of a home-field advantage within a short-rotation arable cropping system.

Marijke Struijk, Andrew P Whitmore, Simon Mortimer, Xin Shu, Tom Sizmur

Abstract read
In one paragraph

Article in Plant and soil, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Marijke StruijkDepartment of Geography and Environmental Science, University of Reading, Reading, UK.ORCID 0000-0001-9653-8267
Andrew P WhitmoreDepartment of Sustainable Agriculture Sciences, Rothamsted Research, Harpenden, UK.
Simon MortimerSchool of Agriculture, Policy and Development, University of Reading, Reading, UK.
Xin ShuDepartment of Geography and Environmental Science, University of Reading, Reading, UK.
Tom SizmurDepartment of Geography and Environmental Science, University of Reading, Reading, UK.

Funding

Biotechnology and Biological Sciences Research Council BBS/E/C/000I0330
6 · The paper itself

Abstract

Aims: The home-field advantage (HFA) hypothesis predicts faster decomposition of plant residues in Methods: We tested the HFA hypothesis in a reciprocal transplant experiment with mesh bags containing wheat and oilseed rape residues in soils at three stages of a short-rotation cropping system. Subsets of mesh bags were retrieved monthly for six months to determine residue decomposition rates, concomitantly measuring soil available N, microbial community structure (phospholipid fatty acid analysis), and microbial activity (Tea Bag Index protocol) to assess how plants may influence litter decomposition rates via alterations to soil biochemical properties and microbial communities. Results: The residues decomposed at similar rates at all rotational stages. Thorough data investigation using several statistical approaches revealed no HFA within the crop rotation. Soil microbial community structures were similar at all rotational stages. Conclusions: We attribute the absence of an HFA to the shortness of the rotation and soil disturbance involved in intensive agricultural practices. It is therefore unlikely that appreciable benefits could be obtained in short conventionally managed arable rotations by introducing a crop-residue rotation. Supplementary Information: The online version contains supplementary material available at 10.1007/s11104-022-05419-z.

Indexed as

Arable cropping systemCrop residuesDecompositionHome-field advantageLegacy effect

Identifiers

PMID37600963
PMCPMC10435649

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.