Evidence map›Paper›PMID 33474563›Full record

ReviewJournal of experimental botany2021

Bottlenecks and opportunities in field-based high-throughput phenotyping for heat and drought stress.

Nathan T Hein, Ignacio A Ciampitti, S V Krishna Jagadish

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of experimental botany, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Drought-tolerant wheat for enhancing global food security.Functional & integrative genomics · 2024
    Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Scaling up high-throughput phenotyping for abiotic stress selection in the field.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Review
  20. Review
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 1 institution in 1 country.

Nathan T HeinDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.ORCID 0000-0002-9769-7056
Ignacio A CiampittiDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.ORCID 0000-0001-9619-5129
S V Krishna JagadishDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.ORCID 0000-0002-1501-0960
Kansas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flowering and grain-filling stages are highly sensitive to heat and drought stress exposure, leading to significant loss in crop yields. Therefore, phenotyping to enhance resilience to these abiotic stresses is critical for sustaining genetic gains in crop improvement programs. However, traditional methods for screening traits related to these stresses are slow, laborious, and often expensive. Remote sensing provides opportunities to introduce low-cost, less biased, high-throughput phenotyping methods to capture large genetic diversity to facilitate enhancement of stress resilience in crops. This review focuses on four key physiological traits and processes that are critical in understanding crop responses to drought and heat stress during reproductive and grain-filling periods. Specifically, these traits include: (i) time of day of flowering, to escape these stresses during flowering; (ii) optimizing photosynthetic efficiency; (iii) storage and translocation of water-soluble carbohydrates; and (iv) yield and yield components to provide in-season yield estimates. Moreover, we provide an overview of current advances in remote sensing in capturing these traits, and discuss the limitations with existing technology as well as future direction of research to develop high-throughput phenotyping approaches. In the future, phenotyping these complex traits will require sensor advancement, high-quality imagery combined with machine learning methods, and efforts in transdisciplinary science to foster integration across disciplines.

Indexed as

Crops, AgriculturalDroughtsEdible GrainPhenotypeStress, PhysiologicalDrought stressfield-based high-throughput phenotypingheat stressphotosynthetic efficiencyremote sensingtime of day of floweringwater-soluble carbohydratesyield estimation

Identifiers

PMID33474563
PMCPMC8272563
OpenAlexW3122514873

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.