Evidence map›Paper›PMID 28083011›Full record

ArticleFrontiers in plant science2016

Non-destructive Phenotyping of Lettuce Plants in Early Stages of Development with Optical Sensors.

Ivan Simko, Ryan J Hayes, Robert T Furbank

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2016. 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
6.2field-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

21 citing papers in PubMed, 48 citations in OpenAlex.

  1. Differential Impact of SiOPlants (Basel, Switzerland) · 2025
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  14. Genome-wide association mapping reveals loci for shelf life and developmental rate of lettuce.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
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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

3 authors at 3 institutions in 2 countries.

Ivan SimkoU.S. Department of Agriculture, Agricultural Research Service, Crop Improvement and Protection Research Unit, Salinas CA, USA.
Ryan J HayesU.S. Department of Agriculture, Agricultural Research Service, Crop Improvement and Protection Research Unit, Salinas CA, USA.
Robert T FurbankHigh Resolution Plant Phenomics Centre, Australian Plant Phenomics Facility, Commonwealth Scientific and Industrial Research Organisation Agriculture and Food, CanberraACT, Australia; Australian Research Council Centre of Excellence for Translational Photosynthesis, Plant Science Division, Research School of Biology, Australian National University, ActonACT, Australia.
Agricultural Research Service · USCommonwealth Scientific and Industrial Research Organisation · AUUnited States Department of Agriculture · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid development of plants is important for the production of 'baby-leaf' lettuce that is harvested when plants reach the four- to eight-leaf stage of growth. However, environmental factors, such as high or low temperature, or elevated concentrations of salt, inhibit lettuce growth. Therefore, non-destructive evaluations of plants can provide valuable information to breeders and growers. The objective of the present study was to test the feasibility of using non-destructive phenotyping with optical sensors for the evaluations of lettuce plants in early stages of development. We performed the series of experiments to determine if hyperspectral imaging and chlorophyll fluorescence imaging can determine phenotypic changes manifested on lettuce plants subjected to the extreme temperature and salinity stress treatments. Our results indicate that top view optical sensors alone can accurately determine plant size to approximately 7 g fresh weight. Hyperspectral imaging analysis was able to detect changes in the total chlorophyll (RCC) and anthocyanin (RAC) content, while chlorophyll fluorescence imaging revealed photoinhibition and reduction of plant growth caused by the extreme growing temperatures (3 and 39°C) and salinity (100 mM NaCl). Though no significant correlation was found between

Indexed as

elevated salinityphotosynthesisrelative anthocyanin contentrelative chlorophyll contentrelative growth ratetemperature stressvisual rating of color intensity

Identifiers

PMID28083011
PMCPMC5187177
OpenAlexW2565513003

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.