Evidence map›Paper›PMID 28659941›Full record

ReviewFrontiers in plant science2017

Insight into MAS: A Molecular Tool for Development of Stress Resistant and Quality of Rice through Gene Stacking.

Gitishree Das, Jayanta Kumar Patra, Kwang-Hyun Baek

Erratum issuedAbstract readReview
In one paragraph

Review in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Marker-Assisted Selection of Jacalin-Related Lectin GenesInternational journal of molecular sciences · 2024
    Article
  9. Article
  10. Article
  11. Gene pyramiding ofMolecular breeding : new strategies in plant improvement · 2024
    Article
  12. Review
  13. Review
  14. Meta-QTLs, ortho-meta QTLs and related candidate genes for yield and its component traits under water stress in wheat (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Gitishree DasResearch Institute of Biotechnology and Medical Converged Science, Dongguk University SeoulGoyang-si, South Korea.
Jayanta Kumar PatraResearch Institute of Biotechnology and Medical Converged Science, Dongguk University SeoulGoyang-si, South Korea.
Kwang-Hyun BaekDepartment of Biotechnology, Yeungnam UniversityGyeongsan, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice yield is subjected to severe losses due to adverse effect of a number of stress factors. The most effective method of controlling reduced crop production is utilization of host resistance. Recent technological advances have led to the improvement of DNA based molecular markers closely linked to genes or QTLs in rice chromosome that bestow tolerance to various types of abiotic stresses and resistance to biotic stress factors. Transfer of several genes with potential characteristics into a single genotype is possible through the process of marker assisted selection (MAS), which can quicken the advancement of tolerant/resistant cultivars in the lowest number of generations with the utmost precision through the process of gene pyramiding. Overall, this review presented various types of molecular tools including MAS that can be reasonable and environmental friendly approach for the improvement of abiotic and biotic stress resistant rice with enhanced quality.

Indexed as

gene pyramidinggenome mappingmarker assisted selectionmolecular markersphenotype traitsphysiological traitsrice

Identifiers

PMID28659941
PMCPMC5469070

What OpenQuestion holds

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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.