Evidence map›Paper›PMID 34579350›Full record

ArticlePlants (Basel, Switzerland)2021

Phenocave: An Automated, Standalone, and Affordable Phenotyping System for Controlled Growth Conditions.

Fernanda Leiva, Pernilla Vallenback, Tobias Ekblad, Eva Johansson, Aakash Chawade

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Fernanda LeivaDepartment of Plant Breeding, Swedish University of Agricultural Sciences, SE-23422 Lomma, Sweden.
Pernilla VallenbackLantmännen Lantbruk, SE-26881 Svalöv, Sweden.
Tobias EkbladMariboHilleshög Research AB, SE-26191 Landskrona, Sweden.
Eva JohanssonDepartment of Plant Breeding, Swedish University of Agricultural Sciences, SE-23422 Lomma, Sweden.ORCID 0000-0003-2351-5173
Aakash ChawadeDepartment of Plant Breeding, Swedish University of Agricultural Sciences, SE-23422 Lomma, Sweden.ORCID 0000-0002-6500-4139
Swedish University of Agricultural Sciences · SEBorgWarner (Sweden) · SELantmännen · SE

Funding

NordForsk #84597SLU Grogrund #slu.ltv.2019.1.1.1-155
6 · The paper itself

Abstract

Controlled plant growth facilities provide the possibility to alter climate conditions affecting plant growth, such as humidity, temperature, and light, allowing a better understanding of plant responses to abiotic and biotic stresses. A bottleneck, however, is measuring various aspects of plant growth regularly and non-destructively. Although several high-throughput phenotyping facilities have been built worldwide, further development is required for smaller custom-made affordable systems for specific needs. Hence, the main objective of this study was to develop an affordable, standalone and automated phenotyping system called "Phenocave" for controlled growth facilities. The system can be equipped with consumer-grade digital cameras and multispectral cameras for imaging from the top view. The cameras are mounted on a gantry with two linear actuators enabling XY motion, thereby enabling imaging of the entire area of Phenocave. A blueprint for constructing such a system is presented and is evaluated with two case studies using wheat and sugar beet as model plants. The wheat plants were treated with different irrigation regimes or high nitrogen application at different developmental stages affecting their biomass accumulation and growth rate. A significant correlation was observed between conventional measurements and digital biomass at different time points. Post-harvest analysis of grain protein content and composition corresponded well with those of previous studies. The results from the sugar beet study revealed that seed treatment(s) before germination influences germination rates. Phenocave enables automated phenotyping of plants under controlled conditions, and the protocols and results from this study will allow others to build similar systems with dimensions suitable for their custom needs.

Indexed as

affordableautomateddroughtimage analysisphenotyping

Identifiers

PMID34579350
PMCPMC8469120
OpenAlexW3198002605

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.