Evidence map›Paper›PMID 34297757›Full record

ArticlePloS one2021

High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance.

Sameer Joshi, Emily Thoday-Kennedy, Hans D Daetwyler, Matthew Hayden, German Spangenberg, Surya Kant

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

6 authors.

Sameer JoshiAgriculture Victoria, Grains Innovation Park, Horsham, Victoria, Australia.ORCID 0000-0002-9047-8221
Emily Thoday-KennedyAgriculture Victoria, Grains Innovation Park, Horsham, Victoria, Australia.
Hans D DaetwylerAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, Victoria, Australia.
Matthew HaydenAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, Victoria, Australia.
German SpangenbergAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, Victoria, Australia.
Surya KantAgriculture Victoria, Grains Innovation Park, Horsham, Victoria, Australia.ORCID 0000-0001-6178-7036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought is one of the most severe and unpredictable abiotic stresses, occurring at any growth stage and affecting crop yields worldwide. Therefore, it is essential to develop drought tolerant varieties to ensure sustainable crop production in an ever-changing climate. High-throughput digital phenotyping technologies in tandem with robust screening methods enable precise and faster selection of genotypes for breeding. To investigate the use of digital imaging to reliably phenotype for drought tolerance, a genetically diverse safflower population was screened under different drought stresses at Agriculture Victoria's high-throughput, automated phenotyping platform, Plant Phenomics Victoria, Horsham. In the first experiment, four treatments, control (90% field capacity; FC), 40% FC at initial branching, 40% FC at flowering and 50% FC at initial branching and flowering, were applied to assess the performance of four safflower genotypes. Based on these results, drought stress using 50% FC at initial branching and flowering stages was chosen to further screen 200 diverse safflower genotypes. Measured plant traits and dry biomass showed high correlations with derived digital traits including estimated shoot biomass, convex hull area, caliper length and minimum area rectangle, indicating the viability of using digital traits as proxy measures for plant growth. Estimated shoot biomass showed close association having moderately high correlation with drought indices yield index, stress tolerance index, geometric mean productivity, and mean productivity. Diverse genotypes were classified into four clusters of drought tolerance based on their performance (seed yield and digitally estimated shoot biomass) under stress. Overall, results show that rapid and precise image-based, high-throughput phenotyping in controlled environments can be used to effectively differentiate response to drought stress in a large numbers of safflower genotypes.

Indexed as

DroughtsGenotypeStress, PhysiologicalAutomation, LaboratoryBiomassCarthamus tinctoriusPhenomicsPhenotypePlant Breeding

Identifiers

PMID34297757
PMCPMC8301646

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.