Evidence map›Paper›PMID 34975965›Full record

ReviewFrontiers in plant science2021

Genetic Diversity, QTL Mapping, and Marker-Assisted Selection Technology in Cotton (

Fakhriddin N Kushanov, Ozod S Turaev, Dilrabo K Ernazarova, Bunyod M Gapparov, Barno B Oripova, Mukhlisa K Kudratova, Feruza U Rafieva, Kuvandik K Khalikov, Doston Sh Erjigitov, Mukhammad T Khidirov and 6 more

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
–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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Genome-Wide Datasets of Chicories (International journal of molecular sciences · 2023
    Pooled it
  3. Genetic Dynamics of Allotetraploid Cotton Species (Plants (Basel, Switzerland) · 2026
    Article
  4. MianxinNo.1: a modern cultivar genome-informed SNP array based on cGPS technology for genomics-assisted breeding in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  5. Article
  6. Review
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  8. Review
  9. Review
  10. Article
  11. Article
  12. Molecular Breeding for Fungal Resistance in Common Bean.International journal of molecular sciences · 2025
    Review
  13. Genetic analysis of seed germination rates inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Unlocking the potential of 'Egusi' melon (Frontiers in plant science · 2025
    Review
  20. Identification ofAnimal biotechnology · 2024
    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

16 authors.

Fakhriddin N KushanovInstitute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Ozod S TuraevInstitute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Dilrabo K ErnazarovaInstitute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Bunyod M GapparovInstitute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Barno B OripovaInstitute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Mukhlisa K KudratovaInstitute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Feruza U RafievaInstitute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Kuvandik K KhalikovInstitute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Doston Sh ErjigitovInstitute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Mukhammad T KhidirovInstitute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Madina D KholovaInstitute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Naim N KhusenovCenter of Genomics and Bioinformatics, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Roza S AmanboyevaDepartment of Biology, National University of Uzbekistan, Tashkent, Uzbekistan.
Sukumar SahaCrop Science Research Laboratory, USDA-ARS, Washington, DC, United States.
John Z YuSouthern Plains Agricultural Research Center, USDA-ARS, Washington, DC, United States.
Ibrokhim Y AbdurakhmonovCenter of Genomics and Bioinformatics, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cotton genetic resources contain diverse economically important traits that can be used widely in breeding approaches to create of high-yielding elite cultivars with superior fiber quality and adapted to biotic and abiotic stresses. Nevertheless, the creation of new cultivars using conventional breeding methods is limited by the cost and proved to be time consuming process, also requires a space to make field observations and measurements. Decoding genomes of cotton species greatly facilitated generating large-scale high-throughput DNA markers and identification of QTLs that allows confirmation of candidate genes, and use them in marker-assisted selection (MAS)-based breeding programs. With the advances of quantitative trait loci (QTL) mapping and genome-wide-association study approaches, DNA markers associated with valuable traits significantly accelerate breeding processes by replacing the selection with a phenotype to the selection at the DNA or gene level. In this review, we discuss the evolution and genetic diversity of cotton

Indexed as

cottonDNA markersgenetic diversityGWASmarker-assisted selectionQTL mapping

Identifiers

PMID34975965
PMCPMC8716771

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.