Evidence map›Paper›PMID 28465574›Full record

ArticleScientific reports2017

Exploring genetic variation for salinity tolerance in chickpea using image-based phenotyping.

Judith Atieno, Yongle Li, Peter Langridge, Kate Dowling, Chris Brien, Bettina Berger, Rajeev K Varshney, Tim Sutton

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
18.8field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 139 citations in OpenAlex.

  1. Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  18. Artificial neural network modeling for deciphering the in vitro induced salt stress tolerance in chickpea (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
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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

8 authors at 4 institutions in 2 countries.

Judith AtienoAustralian Centre for Plant Functional Genomics, School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, PMB 1, Glen Osmond, SA, 5064, Australia.
Yongle LiSchool of Agriculture, Food and Wine, University of Adelaide, Waite Campus, PMB1, Glen Osmond, SA, 5064, Australia.
Peter LangridgeSchool of Agriculture, Food and Wine, University of Adelaide, Waite Campus, PMB1, Glen Osmond, SA, 5064, Australia.
Kate DowlingThe Plant Accelerator, School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, PMB1, Glen Osmond, SA, 5064, Australia.
Chris BrienThe Plant Accelerator, School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, PMB1, Glen Osmond, SA, 5064, Australia.ORCID http://orcid.org/0000-0003-0581-1817
Bettina BergerThe Plant Accelerator, School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, PMB1, Glen Osmond, SA, 5064, Australia.ORCID http://orcid.org/0000-0003-1195-4478
Rajeev K VarshneyCentre of Excellence in Genomics, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.
Tim SuttonSouth Australian Research and Development Institute, GPO Box 397 Adelaide, South Australia, 5001, Australia. Tim.Sutton@sa.gov.au.
The University of Adelaide · AUAustralian Centre for Plant Functional Genomics · AUInternational Crops Research Institute for the Semi-Arid Tropics · INSouth Australian Research and Development Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil salinity results in reduced productivity in chickpea. However, breeding for salinity tolerance is challenging because of limited knowledge of the key traits affecting performance under elevated salt and the difficulty of high-throughput phenotyping for large, diverse germplasm collections. This study utilised image-based phenotyping to study genetic variation in chickpea for salinity tolerance in 245 diverse accessions. On average salinity reduced plant growth rate (obtained from tracking leaf expansion through time) by 20%, plant height by 15% and shoot biomass by 28%. Additionally, salinity induced pod abortion and inhibited pod filling, which consequently reduced seed number and seed yield by 16% and 32%, respectively. Importantly, moderate to strong correlation was observed for different traits measured between glasshouse and two field sites indicating that the glasshouse assays are relevant to field performance. Using image-based phenotyping, we measured plant growth rate under salinity and subsequently elucidated the role of shoot ion independent stress (resulting from hydraulic resistance and osmotic stress) in chickpea. Broad genetic variation for salinity tolerance was observed in the diversity panel with seed number being the major determinant for salinity tolerance measured as yield. This study proposes seed number as a selection trait in breeding salt tolerant chickpea cultivars.

Indexed as

SalinityCicerOsmotic PressurePlant DevelopmentPlant LeavesSalt-Tolerant PlantsSeedsSodiumStress, PhysiologicalSodium

Identifiers

PMID28465574
PMCPMC5430978
OpenAlexW2607541425

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.