Evidence map›Paper›PMID 30542356›Full record

ArticleFrontiers in plant science2018

An Automated Image Analysis Pipeline Enables Genetic Studies of Shoot and Root Morphology in Carrot (

Sarah D Turner, Shelby L Ellison, Douglas A Senalik, Philipp W Simon, Edgar P Spalding, Nathan D Miller

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2018. 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
3.6field-weighted citation impact, top 7% 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, 46 citations in OpenAlex.

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  7. Morphological characterizations of parsnip (Food science & nutrition · 2023
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  13. The influence of the Or and Carotene Hydroxylase genes on carotenoid accumulation in orange carrots [Daucus carota (L.)].TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  14. Exploring genetic architecture for pod-related traits in soybean using image-based phenotyping.Molecular breeding : new strategies in plant improvement · 2021
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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

6 authors at 2 institutions in 1 country.

Sarah D TurnerDepartment of Horticulture, University of Wisconsin-Madison, Madison, WI, United States.
Shelby L EllisonVegetable Crops Research Unit, United States Department of Agriculture-Agricultural Research Service, Madison, WI, United States.
Douglas A SenalikVegetable Crops Research Unit, United States Department of Agriculture-Agricultural Research Service, Madison, WI, United States.
Philipp W SimonDepartment of Horticulture, University of Wisconsin-Madison, Madison, WI, United States.
Edgar P SpaldingDepartment of Botany, University of Wisconsin-Madison, Madison, WI, United States.
Nathan D MillerDepartment of Botany, University of Wisconsin-Madison, Madison, WI, United States.
United States Department of Agriculture · USUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carrot is a globally important crop, yet efficient and accurate methods for quantifying its most important agronomic traits are lacking. To address this problem, we developed an automated image analysis platform that extracts components of size and shape for carrot shoots and roots, which are necessary to advance carrot breeding and genetics. This method reliably measured variation in shoot size and shape, petiole number, petiole length, and petiole width as evidenced by high correlations with hundreds of manual measurements. Similarly, root length and biomass were accurately measured from the images. This platform also quantified shoot and root shapes in terms of principal components, which do not have traditional, manually measurable equivalents. We applied the pipeline in a study of a six-parent diallel population and an F

Indexed as

carrotimage-based phenotypingplant breedingshoot architecturestorage root shape

Identifiers

PMID30542356
PMCPMC6277879
OpenAlexW2903548736

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.