Evidence map›Paper›PMID 34451641›Full record

ArticlePlants (Basel, Switzerland)2021

Screening for Higher Grain Yield and Biomass among Sixty Bread Wheat Genotypes Grown under Elevated CO

Emilio L Marcos-Barbero, Pilar Pérez, Rafael Martínez-Carrasco, Juan B Arellano, Rosa Morcuende

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Combinatorial impacts of elevated COPhysiology and molecular biology of plants : an international journal of functional plant biology · 2023
    Article
  5. Review
  6. Article
  7. Crop Adaptation to Elevated COPlants (Basel, Switzerland) · 2022
    Article
  8. Article
  9. 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

5 authors.

Emilio L Marcos-BarberoInstitute of Natural Resources and Agrobiology of Salamanca (IRNASA), Consejo Superior de Investigaciones Científicas (CSIC), 37008 Salamanca, Spain.ORCID 0000-0001-5649-2401
Pilar PérezInstitute of Natural Resources and Agrobiology of Salamanca (IRNASA), Consejo Superior de Investigaciones Científicas (CSIC), 37008 Salamanca, Spain.
Rafael Martínez-CarrascoInstitute of Natural Resources and Agrobiology of Salamanca (IRNASA), Consejo Superior de Investigaciones Científicas (CSIC), 37008 Salamanca, Spain.ORCID 0000-0002-0263-1602
Juan B ArellanoInstitute of Natural Resources and Agrobiology of Salamanca (IRNASA), Consejo Superior de Investigaciones Científicas (CSIC), 37008 Salamanca, Spain.ORCID 0000-0001-8677-8697
Rosa MorcuendeInstitute of Natural Resources and Agrobiology of Salamanca (IRNASA), Consejo Superior de Investigaciones Científicas (CSIC), 37008 Salamanca, Spain.

Funding

Junta de Castilla y León CSI083U16Junta de Castilla y León CSI260P20Junta de Castilla y León E-37-2017-0066125Ministerio de Ciencia e Innovación PID2019-107154RB-I00Ministerio de Economía y Competitividad AGL2013-41363-RMinisterio de Economía y Competitividad AGL2016-79589-R
6 · The paper itself

Abstract

Global warming will inevitably affect crop development and productivity, increasing uncertainty regarding food production. The exploitation of genotypic variability can be a promising approach for selecting improved crop varieties that can counteract the adverse effects of future climate change. We investigated the natural variation in yield performance under combined elevated CO

Indexed as

biomassbread wheatclimate changeelevated CO2genotypesgrain yieldhigh temperature

Identifiers

PMID34451641
PMCPMC8401911

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.