Evidence map›Paper›PMID 39170454›Full record

ReviewHeliyon2024

Triumphs of genomic-assisted breeding in crop improvement.

Vikas Mangal, Lokesh Kumar Verma, Sandeep Kumar Singh, Kanak Saxena, Anirban Roy, Anandi Karn, Rohit Rohit, Shruti Kashyap, Ashish Bhatt, Salej Sood

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Genetic diversity ofFrontiers in plant science · 2025
    Article
  11. 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

10 authors.

Vikas MangalICAR-Central Potato Research Institute (CPRI), Shimla, Himachal Pradesh, 171001, India.
Lokesh Kumar VermaUniversity of Agricultural Sciences (UAS), Dharwad, Karnataka, India.
Sandeep Kumar SinghDepartment of Genetics and Plant Breeding, Faculty of Agricultural Sciences, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, 751030, India.
Kanak SaxenaDepartment of Genetics and Plant Breeding, Rabindranath Tagore University, Raisen, Madhya Pradesh, India.
Anirban RoyDivision of Genetics and Plant Breeding, Ramakrishna Mission Vivekananda Educational and Research Institute (RKMVERI), Narendrapur, Kolkata, 700103, India.
Anandi KarnPlant Breeding & Graduate Program, IFAS - University of Florida, Gainesville, USA.
Rohit RohitDepartment of Genetics and Plant Breeding, GBPUA&T, Pantnagar, Uttarakhand, 263145, India.
Shruti KashyapDepartment of Genetics and Plant Breeding, GBPUA&T, Pantnagar, Uttarakhand, 263145, India.
Ashish BhattDepartment of Genetics and Plant Breeding, GBPUA&T, Pantnagar, Uttarakhand, 263145, India.
Salej SoodICAR-Central Potato Research Institute (CPRI), Shimla, Himachal Pradesh, 171001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional breeding approaches have played a significant role in meeting the food demand remarkably well until now. However, the increasing population, yield plateaus in certain crops, and limited recombination necessitate using genomic resources for genomics-assisted crop improvement programs. As a result of advancements in the next-generation sequence technology, GABs have developed dramatically to characterize allelic variants and facilitate their rapid and efficient incorporation in crop improvement programs. Genomics-assisted breeding (GAB) has played an important role in harnessing the potential of modern genomic tools, exploiting allelic variation from genetic resources and developing cultivars over the past decade. The availability of pangenomes for major crops has been a significant development, albeit with varying degrees of completeness. Even though adopting these technologies is essentially determined on economic grounds and cost-effective assays, which create a wealth of information that can be successfully used to exploit the latent potential of crops. GAB has been instrumental in harnessing the potential of modern genomic resources and exploiting allelic variation for genetic enhancement and cultivar development. GAB strategies will be indispensable for designing future crops and are expected to play a crucial role in breeding climate-smart crop cultivars with higher nutritional value.

Indexed as

Allelic variantsClimate-smart cropsGenomic assisted breedingMarker assisted selectionPan-genome

Identifiers

PMID39170454
PMCPMC11336775

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.