Evidence map›Paper›PMID 39506826›Full record

ReviewBiological research2024

Advances in genomic tools for plant breeding: harnessing DNA molecular markers, genomic selection, and genome editing.

Rahul Kumar, Sankar Prasad Das, Burhan Uddin Choudhury, Amit Kumar, Nitish Ranjan Prakash, Ramlakhan Verma, Mridul Chakraborti, Ayam Gangarani Devi, Bijoya Bhattacharjee, Rekha Das and 5 more

Abstract readReview
In one paragraph

Review in Biological research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

  1. Application of Omics Technologies for Cowpea Improvement.Plant-environment interactions (Hoboken, N.J.) · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. CRISPR/Cas9-Mediated Editing ofPlants (Basel, Switzerland) · 2026
    Article
  6. Review
  7. Review
  8. Advances in mutant characterization for detecting causal mutations in crop plants.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  9. Review
  10. 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
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  17. Article
  18. Bridging tradition and innovation: a review of computer simulations in plant breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  19. Genomic selection for seed yield enhances flax breeding efficiency.Molecular breeding : new strategies in plant improvement · 2026
    Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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

15 authors.

Rahul KumarICAR Research Complex for NEH Region, Tripura Centre, Lembucherra, Agartala, 799210, Tripura, India. rshah1775@gmail.com.ORCID http://orcid.org/0009-0005-3464-8934
Sankar Prasad DasICAR-National Research Centre for Orchids, Pakyong, Sikkim, India.
Burhan Uddin ChoudhuryICAR Research Complex for NEH Region, Tripura Centre, Lembucherra, Agartala, 799210, Tripura, India.
Amit KumarICAR Research Complex for NEH Region, Umiam, 793103, Meghalaya, India.
Nitish Ranjan PrakashICAR-Central Soil Salinity Research Institute, Karnal, India.
Ramlakhan VermaICAR-National Rice Research Institute, Cuttack, 753006, Odisha, India.
Mridul ChakrabortiICAR-National Rice Research Institute, Cuttack, 753006, Odisha, India.
Ayam Gangarani DeviICAR Research Complex for NEH Region, Tripura Centre, Lembucherra, Agartala, 799210, Tripura, India.
Bijoya BhattacharjeeICAR Research Complex for NEH Region, Tripura Centre, Lembucherra, Agartala, 799210, Tripura, India.
Rekha DasICAR Research Complex for NEH Region, Tripura Centre, Lembucherra, Agartala, 799210, Tripura, India.
Bapi DasICAR Research Complex for NEH Region, Tripura Centre, Lembucherra, Agartala, 799210, Tripura, India.
H Lembisana DeviICAR -Krishi Vigyan Kendra, Tamenglong District, Manipur, India.
Biswajit DasICAR Research Complex for NEH Region, Tripura Centre, Lembucherra, Agartala, 799210, Tripura, India.
Santoshi RawatDepartment of Food Science and Technology, College of Agriculture, G.B.P.U.A.&T., Pantnagar, India.
Vinay Kumar MishraICAR Research Complex for NEH Region, Umiam, 793103, Meghalaya, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional pre-genomics breeding methodologies have significantly improved crop yields since the mid-twentieth century. Genomics provides breeders with advanced tools for whole-genome study, enabling a direct genotype-phenotype analysis. This shift has led to precise and efficient crop development through genomics-based approaches, including molecular markers, genomic selection, and genome editing. Molecular markers, such as SNPs, are crucial for identifying genomic regions linked to important traits, enhancing breeding accuracy and efficiency. Genomic resources viz. genetic markers, reference genomes, sequence and protein databases, transcriptomes, and gene expression profiles, are vital in plant breeding and aid in the identification of key traits, understanding genetic diversity, assist in genomic mapping, support marker-assisted selection and speeding up breeding programs. Advanced techniques like CRISPR/Cas9 allow precise gene modification, accelerating breeding processes. Key techniques like Genome-Wide Association study (GWAS), Marker-Assisted Selection (MAS), and Genomic Selection (GS) enable precise trait selection and prediction of breeding outcomes, improving crop yield, disease resistance, and stress tolerance. These tools are handy for complex traits influenced by multiple genes and environmental factors. This paper explores new genomic technologies like molecular markers, genomic selection, and genome editing for plant breeding showcasing their impact on developing new plant varieties.

Indexed as

Gene EditingGenomicsPlant BreedingCrops, AgriculturalGenetic MarkersGenome, PlantGenome-Wide Association StudySelection, GeneticGenetic MarkersCRISPR-Cas9Genomic resourcesGenomic selectionGenomic toolsMolecular markersPlant breeding

Identifiers

PMID39506826
PMCPMC11542492

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.