Evidence map›Paper›PMID 39681848›Full record

ArticlePlant methods2024

Minirhizotron measurements can supplement deep soil coring to evaluate root growth of winter wheat when certain pitfalls are avoided.

Jessica Arnhold, Facundo R Ispizua Yamati, Henning Kage, Anne-Katrin Mahlein, Heinz-Josef Koch, Dennis Grunwald

Erratum issuedAbstract read
In one paragraph

Article in Plant methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

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

What it found

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jessica Arnhold *Institute of Sugar Beet Research, Holtenser Landstraße 77, 37079, Göttingen, Germany. arnhold@ifz-goettingen.de.ORCID http://orcid.org/0000-0002-4338-0459
Facundo R Ispizua Yamati *Institute of Sugar Beet Research, Holtenser Landstraße 77, 37079, Göttingen, Germany.
Henning KageInstitute of Crop Science and Plant Breeding, Kiel University, 24118, Kiel, Germany.
Anne-Katrin MahleinInstitute of Sugar Beet Research, Holtenser Landstraße 77, 37079, Göttingen, Germany.
Heinz-Josef KochInstitute of Sugar Beet Research, Holtenser Landstraße 77, 37079, Göttingen, Germany.
Dennis GrunwaldInstitute of Sugar Beet Research, Holtenser Landstraße 77, 37079, Göttingen, Germany. grunwald@ifz-goettingen.de.ORCID http://orcid.org/0000-0002-2621-2971

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoot growth is most commonly determined with the destructive soil core method, which is very labor-intensive and destroys the plants at the sampling spots. The alternative minirhizotron technique allows for root growth observation throughout the growing season at the same spot but necessitates a high-throughput image analysis for being labor- and cost-efficient. In this study, wheat root development in agronomically varied situations was monitored with minirhizotrons over the growing period in two years, paralleled by destructive samplings at two dates. The aims of this study were to (i) adapt an existing CNN-based segmentation method for wheat minirhizotron images, (ii) verify the results of minirhizotron measurements with root growth data obtained by the destructive soil core method, and (iii) investigate the effect of the presence of the minirhizotron tubes on root growth.

resultsThe previously existing CNN could successfully be adapted for wheat root images. The minirhizotron technique seems to be more suitable for root growth observation in the subsoil, where a good agreement with destructively gathered data was found, while root length results in the topsoil were dissatisfactory in comparison to the soil core method in both years. The tube presence was found to affect root growth only if not installed with a good soil-tube contact which can be achieved by slurrying, i.e. filling gaps with a soil/water suspension.

conclusionsOverall, the minirhizotron technique in combination with high-throughput image analysis seems to be an alternative and valuable technique for suitable research questions in root research targeting the subsoil.

Indexed as

Convolutional neural networkRoot image segmentationRoot length estimationRoot samplingSoil core sampling

Identifiers

PMID39681848
PMCPMC11650824

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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.