Evidence map›Paper›PMID 29997645›Full record

ArticleFrontiers in plant science2018

Comparative Aerial and Ground Based High Throughput Phenotyping for the Genetic Dissection of NDVI as a Proxy for Drought Adaptive Traits in Durum Wheat.

Giuseppe E Condorelli, Marco Maccaferri, Maria Newcomb, Pedro Andrade-Sanchez, Jeffrey W White, Andrew N French, Giuseppe Sciara, Rick Ward, Roberto Tuberosa

Erratum issuedAbstract 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. An erratum has been issued. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
–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

64 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Uncovering natural variation inFrontiers in plant science · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Drought-tolerant wheat for enhancing global food security.Functional & integrative genomics · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Giuseppe E CondorelliDepartment of Agricultural Sciences, University of Bologna, Bologna, Italy.
Marco MaccaferriDepartment of Agricultural Sciences, University of Bologna, Bologna, Italy.
Maria NewcombMaricopa Agricultural Center, University of Arizona, Tucson, AZ, United States.
Pedro Andrade-SanchezMaricopa Agricultural Center, University of Arizona, Tucson, AZ, United States.
Jeffrey W WhiteUS Arid Land Agricultural Research Center, USDA-ARS, Maricopa, AZ, United States.
Andrew N FrenchUS Arid Land Agricultural Research Center, USDA-ARS, Maricopa, AZ, United States.
Giuseppe SciaraDepartment of Agricultural Sciences, University of Bologna, Bologna, Italy.
Rick WardMaricopa Agricultural Center, University of Arizona, Tucson, AZ, United States.
Roberto TuberosaDepartment of Agricultural Sciences, University of Bologna, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput phenotyping platforms (HTPPs) provide novel opportunities to more effectively dissect the genetic basis of drought-adaptive traits. This genome-wide association study (GWAS) compares the results obtained with two Unmanned Aerial Vehicles (UAVs) and a ground-based platform used to measure Normalized Difference Vegetation Index (NDVI) in a panel of 248 elite durum wheat (

Indexed as

droughtdurum wheatGWAShigh-throughput phenotypingNDVIQTLTriticum turgidum L. subsp. durumUAV

Identifiers

PMID29997645
PMCPMC6028805

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.