Evidence map›Paper›PMID 35035143›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2021

Identification of QTLs for stagnant flooding tolerance in rice employing genotyping by sequencing of a RIL population derived from Swarna × Rashpanjor.

Krishnendu Chattopadhyay, Koushik Chakraborty, Prabhudatta Samal, Ramani Kumar Sarkar

Open access · greenAbstract read
In one paragraph

Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
8.2field-weighted citation impact, top 3% 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

5 citing papers in PubMed, 22 citations in OpenAlex.

  1. Unveiling stagnant flooding tolerance in lowland NERICAs: genomic insights and breeding prospects.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. The Role of Phytohormones in Plant Response to Flooding.International journal of molecular sciences · 2022
    Review
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

4 authors at 1 institution in 1 country.

Krishnendu ChattopadhyayCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Koushik ChakrabortyDivision of Crop Physiology and Biochemistry, ICAR-National Rice Research Institute, Cuttack, India.ORCID 0000-0001-7081-4681
Prabhudatta SamalCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Ramani Kumar SarkarDivision of Crop Physiology and Biochemistry, ICAR-National Rice Research Institute, Cuttack, India.
Central Rice Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In lowland rice ecosystems stagnant flooding or partial submergence has a significant negative impact on important yield attributing traits resulting in substantial grain yield reduction. Genetics of this stress is not yet studied intensively. Rashpanjor (IC 575321), a landrace from India, was identified and used as the tolerant donor for stagnant flooding and was crossed with high yielding variety Swarna to develop the RIL population for the present investigation. Yield and yield attributing traits of 180 F SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12298-021-01107-x.

Indexed as

Genetic mappingGenome sequencingPartial submergenceSingle nucleotide polymorphism (SNP)Waterlogging tolerance

Identifiers

PMID35035143
PMCPMC8720131
OpenAlexW4200610160

What OpenQuestion holds

Textmetadata
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.