Evidence map›Paper›PMID 31003608›Full record

ReviewPlant science : an international journal of experimental plant biology2019

Review: New sensors and data-driven approaches-A path to next generation phenomics.

Thomas Roitsch, Llorenç Cabrera-Bosquet, Antoine Fournier, Kioumars Ghamkhar, José Jiménez-Berni, Francisco Pinto, Eric S Ober

Abstract readReview
In one paragraph

Review in Plant science : an international journal of experimental plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
–field-weighted citation impact
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

63 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Drought-tolerant wheat for enhancing global food security.Functional & integrative genomics · 2024
    Review
  6. Article
  7. Review
  8. Climate Change-The Rise of Climate-Resilient Crops.Plants (Basel, Switzerland) · 2024
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

3 more citing papers are in PubMed but not listed here.

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

7 authors.

Thomas RoitschDepartment of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark; Department of Adaptive Biotechnologies, Global Change Research Institute, CAS, Brno, Czech Republic.
Llorenç Cabrera-BosquetLEPSE, INRA, Montpellier SupAgro, Univ Montpellier, Montpellier, France.
Antoine FournierArvalis, Institut du végétal, 45, voie Romaine 41240 Beauce la Romaine, France.
Kioumars GhamkharForage Science, Grasslands Research Centre, AgResearch, Tennent Drive, Fitzherbert, Palmerston North 4410, New Zealand.
José Jiménez-BerniInstituto de Agricultura Sostenible, Consejo Superior de Investigaciones Cientificas (CSIC) Avenida Menéndez Pidal, Campus Alameda del Obispo, 14004 Córdoba, Spain.
Francisco PintoGlobal Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), El Batán, Texcoco, México C.P. 56237, Mexico.
Eric S OberNational Institute of Agricultural Botany (NIAB), Huntingdon Road, Cambridge, CB3 0LE, UK. Electronic address: eric.ober@niab.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At the 4th International Plant Phenotyping Symposium meeting of the International Plant Phenotyping Network (IPPN) in 2016 at CIMMYT in Mexico, a workshop was convened to consider ways forward with sensors for phenotyping. The increasing number of field applications provides new challenges and requires specialised solutions. There are many traits vital to plant growth and development that demand phenotyping approaches that are still at early stages of development or elude current capabilities. Further, there is growing interest in low-cost sensor solutions, and mobile platforms that can be transported to the experiments, rather than the experiment coming to the platform. Various types of sensors are required to address diverse needs with respect to targets, precision and ease of operation and readout. Converting data into knowledge, and ensuring that those data (and the appropriate metadata) are stored in such a way that they will be sensible and available to others now and for future analysis is also vital. Here we are proposing mechanisms for "next generation phenomics" based on our learning in the past decade, current practice and discussions at the IPPN Symposium, to encourage further thinking and collaboration by plant scientists, physicists and engineering experts.

Indexed as

Plant BreedingCrops, AgriculturalGenomicsImagingIPPNMetadataNext generation phenomicsPlant phenotypingSensor developmentTrait value

Identifiers

PMID31003608
PMCPMC6483971

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.