Evidence map›Paper›PMID 36145733›Full record

ArticlePlants (Basel, Switzerland)2022

Genetic Variability Assessment of Tropical Indica Rice (

Naqeebullah Kakar, Salah H Jumaa, Saroj Kumar Sah, Edilberto D Redoña, Marilyn L Warburton, Kambham R Reddy

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Naqeebullah KakarDepartment of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS 39762, USA.
Salah H JumaaDepartment of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS 39762, USA.ORCID 0000-0003-4179-2780
Saroj Kumar SahDepartment of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Mississippi State, MS 39762, USA.ORCID 0000-0002-3881-2595
Edilberto D RedoñaDelta Research and Extension Center, Mississippi State University, 82 Stoneville Road, Stoneville, MS 38776, USA.
Marilyn L WarburtonCorn Host Plant Resistance Research Unit, Crop Science Research Laboratory, United States Department of Agriculture-Agriculture Research Service, Mississippi State, MS 39762, USA.ORCID 0000-0002-9542-9912
Kambham R ReddyDepartment of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS 39762, USA.ORCID 0000-0002-7906-7755

Funding

MIS 043040National Institute of Food and Agriculture 2016-34263-25763
6 · The paper itself

Abstract

Drought stress is one of the most devastating abiotic factors limiting plant growth and development. Devising an efficient and rapid screening method at the seedling stage is vital in identifying genotypes best suited under drought conditions. An experiment was conducted to assess 74 rice genotypes for drought tolerance using specially designed mini-hoop structures. Two treatments were imposed on rice seedlings, including 100% moisture and a 50% moisture regime. Several shoot morpho-physiological traits and root traits were measured and analyzed. The genotypes exhibited a wide range of variability for the measured traits, with the leaf area showing the most significant variation, followed by plant height, tiller number, and shoot dry weight. In contrast, the drought did not significantly affect most root traits. The germplasm was classified into different categories using cumulative drought stress response indices (CDSRI); 19 genotypes (26%) were identified as drought sensitive, and 33 (45%), 15 (20%), and 7 (9%) were determined as low, moderately, and highly drought-tolerant, respectively. Genotypes IR86638 and IR49830 were the most and least drought-tolerant, respectively. Overall, a poor correlation was observed between CDSRI, total shoot traits (R

Indexed as

droughtdrought stressearly growthmorpho-physiological parametersresponse indicesricerootshootWinRHIZO root image analysis

Identifiers

PMID36145733
PMCPMC9505502

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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.