Evidence map›Paper›PMID 35481146›Full record

ArticleFrontiers in plant science2022

Prediction of Photosynthetic, Biophysical, and Biochemical Traits in Wheat Canopies to Reduce the Phenotyping Bottleneck.

Carlos A Robles-Zazueta, Francisco Pinto, Gemma Molero, M John Foulkes, Matthew P Reynolds, Erik H Murchie

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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 2 countries.

Carlos A Robles-ZazuetaDivision of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Leicestershire, United Kingdom.
Francisco PintoGlobal Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Gemma MoleroGlobal Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
M John FoulkesDivision of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Leicestershire, United Kingdom.
Matthew P ReynoldsGlobal Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Erik H MurchieDivision of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Leicestershire, United Kingdom.
Centro Internacional de Mejoramiento de Maíz Y Trigo · MXUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To achieve food security, it is necessary to increase crop radiation use efficiency (RUE) and yield through the enhancement of canopy photosynthesis to increase the availability of assimilates for the grain, but its study in the field is constrained by low throughput and the lack of integrative measurements at canopy level. In this study, partial least squares regression (PLSR) was used with high-throughput phenotyping (HTP) data in spring wheat to build predictive models of photosynthetic, biophysical, and biochemical traits for the top, middle, and bottom layers of wheat canopies. The combined layer model predictions performed better than individual layer predictions with a significance as follows for photosynthesis

Indexed as

canopy photosynthesishigh-throughput phenotypingphysiological breedingPLSRRUE

Identifiers

PMID35481146
PMCPMC9036448
OpenAlexW4223420439

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.