Evidence map›Paper›PMID 35340363›Full record

ReviewCurrent genomics2021

Unlocking Allelic Diversity for Sustainable Development of Salinity Stress Tolerance in Rice.

Rishiraj Raghuvanshi, Ashish Kumar Srivastava, Satish Verulkar, Penna Suprasanna

Abstract readReview
In one paragraph

Review in Current genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Breeding D1-Type HybridInternational journal of molecular sciences · 2025
    Article
  4. Article
  5. ABCG Transporters in the Adaptation of Rice to Salt Stresses.International journal of molecular sciences · 2024
    Article
  6. Article
  7. Economic Uses of Salt-Tolerant Plants.Plants (Basel, Switzerland) · 2023
    Review
  8. Review
  9. 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

4 authors.

Rishiraj RaghuvanshiDepartment of Plant Molecular Biology and Biotechnology, Indira Gandhi Krishi Vishwavidyalaya, Raipur-492012, India.
Ashish Kumar SrivastavaNuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai-400085, India.
Satish VerulkarDepartment of Plant Molecular Biology and Biotechnology, Indira Gandhi Krishi Vishwavidyalaya, Raipur-492012, India.
Penna SuprasannaNuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai-400085, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is a major cereal crop, negatively impacted by soil-salinity, both in terms of plant growth as well as productivity. Salinity tolerant rice varieties have been developed using conventional breeding approaches, however, there has been limited success which is primarily due to the complexity of the trait, low yield, variable salt stress response and availability of genetic resources. Furthermore, the narrow genetic base is a hindrance for further improvement of the rice varieties. Therefore, there is a greater need to screen available donor germplasm in rice for salinity tolerance related genes and traits. In this regard, genomics based techniques are useful for exploring new gene resources and QTLs. In rice, the vast allelic diversity existing in the wild and cultivated germplasm needs to be explored for improving salt tolerance. In the present review, we provide an overview of the allelic diversity in the Quantitative Trait Loci (QTLs) like Saltol, qGR6.2, qSE3 and RNC4 as well as genes like

Indexed as

Allelic diversityOsHKT1;1OsHKT1;5QTLsricesalt tolerancetransporters

Identifiers

PMID35340363
PMCPMC8886628

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.