Evidence map›Paper›PMID 33313525›Full record

ArticlePlant phenomics (Washington, D.C.)2019

Nondestructive Phenomic Tools for the Prediction of Heat and Drought Tolerance at Anthesis in

Sheng Chen, Yiming Guo, Xavier Sirault, Katia Stefanova, Renu Saradadevi, Neil C Turner, Matthew N Nelson, Robert T Furbank, Kadambot H M Siddique, Wallace A Cowling

Open access · goldAbstract read
In one paragraph

Article in Plant phenomics (Washington, D.C.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.7field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 39 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

10 authors at 3 institutions in 1 country.

Sheng ChenThe UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6001, Australia.
Yiming GuoThe UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6001, Australia.
Xavier SiraultHigh Resolution Plant Phenomics Centre, Australian Plant Phenomics Facility, CSIRO Agriculture and Food, Canberra, ACT 2601, Australia.
Katia StefanovaThe UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6001, Australia.
Renu SaradadeviThe UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6001, Australia.
Neil C TurnerThe UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6001, Australia.
Matthew N NelsonThe UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6001, Australia.
Robert T FurbankHigh Resolution Plant Phenomics Centre, Australian Plant Phenomics Facility, CSIRO Agriculture and Food, Canberra, ACT 2601, Australia.
Kadambot H M SiddiqueThe UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6001, Australia.
Wallace A CowlingThe UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6001, Australia.
University of Western Australia · AUAgriculture and Food · AUARC Centre of Excellence for Transformative Meta-Optical Systems · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oilseed Brassica species are vulnerable to heat and drought stress, especially in the early reproductive stage. We evaluated plant imaging of whole plant and flower tissue, leaf stomatal conductance, leaf and bud temperature, photochemical reflectance index, quantum yield of photosynthesis, and leaf gas exchange for their suitability to detect tolerance to heat (H) and/or drought (D) stress treatments in 12

Identifiers

PMID33313525
PMCPMC7718632
OpenAlexW2945015578

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.