Evidence map›Paper›PMID 38674481›Full record

ArticlePlants (Basel, Switzerland)2024

Determination of Morpho-Physiological Traits for Assessing Drought Tolerance in Sugarcane.

Warodom Wirojsirasak, Patcharin Songsri, Nakorn Jongrungklang, Sithichoke Tangphatsornruang, Peeraya Klomsa-Ard, Kittipat Ukoskit

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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.

Warodom WirojsirasakDepartment of Biotechnology, Faculty of Science and Technology, Rangsit Campus, Thammasat University, Pathum Thani 12120, Thailand.
Patcharin SongsriDepartment of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0000-0002-4935-2969
Nakorn JongrungklangDepartment of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0000-0002-4411-4750
Sithichoke TangphatsornruangNational Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani 12120, Thailand.ORCID 0000-0003-2673-0012
Peeraya Klomsa-ArdMitr Phol Innovation and Research Center, Chaiyaphum 36110, Thailand.
Kittipat UkoskitDepartment of Biotechnology, Faculty of Science and Technology, Rangsit Campus, Thammasat University, Pathum Thani 12120, Thailand.

Funding

The Royal Golden Jubilee (RGJ) Ph.D. Program, The National Research Council of Thailand (NRCT), Thammasat University research fund, Mitr Phol Innovation and Research Center PHD/0093/2561
6 · The paper itself

Abstract

Drought is a significant constraint to sugarcane productivity. Therefore, understanding how different varieties of sugarcane respond to drought stress can facilitate breeding programs and set up criteria for selecting drought-tolerant varieties. In the present study, we examined eight morpho-physiological traits to distinguish 40 sugarcane genotypes categorized into four groups based on significant differences in cane yield under non-stressed conditions and reduction of cane yield under drought-stressed conditions. The study was conducted during the formative stage in a greenhouse, encompassing both control and drought conditions. Drought treatments resulted in significant changes and differences in the mean values of various morpho-physiological traits. The hierarchical clustering analysis, utilizing stay-green traits such as higher chlorophyll fluorescence ratio (

Indexed as

drought tolerancestay-greensugarcane

Identifiers

PMID38674481
PMCPMC11054708

What OpenQuestion holds

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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.