Evidence map›Paper›PMID 37355501›Full record

ReviewFunctional & integrative genomics2023

The potentialities of omics resources for millet improvement.

Banshidhar, Saurabh Pandey, Ashutosh Singh, Priyanka Jaiswal, Mithilesh Kumar Singh, Khem Raj Meena, Satish Kumar Singh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Functional & integrative genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Editorial: venom collection.Scientific reports · 2025
    Article
  3. Millets for a sustainable future.Journal of experimental botany · 2025
    Review
  4. Review
  5. Review
  6. 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

7 authors.

Banshidhar *Lovely Professional University, Jalandhar - Delhi G.T. Road, Phagwara, Punjab, 144411, India.
Saurabh Pandey *Department of Agricultural, Guru Nanak Dev University, Amritsar, Punjab, 143005, India.
Ashutosh SinghCentre for Advanced Studies on Climate Change, RPCAU, Pusa, Samastipur, Bihar, 848125, India. singh.ashutosh026@gmail.com.ORCID https://orcid.org/0000-0001-9431-6548
Priyanka JaiswalLovely Professional University, Jalandhar - Delhi G.T. Road, Phagwara, Punjab, 144411, India.
Mithilesh Kumar SinghDepartment of Genetics and Plant Breeding, RPCAU, Pusa, Samastipur, Bihar, 848125, India.
Khem Raj MeenaDepartment of Biotechnology, School of Life Sciences, Central University of Rajasthan, Kishangarh, Rajasthan, 305817, India.
Satish Kumar SinghDepartment of Genetics and Plant Breeding, RPCAU, Pusa, Samastipur, Bihar, 848125, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Millets are nutrient-rich (nutri-rich) cereals with climate resilience attributes. However, its full productive potential is not realized due to the lack of a focused yield improvement approach, as evidenced by the available literature. Also, the lack of well-characterized genomic resources significantly limits millet improvement. But the recent availability of genomic data and advancement in omics tools has shown its enormous potential to enhance the efficiency and precision faced by conventional breeding in millet improvement. The development of high throughput genotyping platforms based on next-generation sequencing (NGS) has provided a low-cost method for genomic information, specifically for neglected nutri-rich cereals with the availability of a limited number of reference genome sequences. NGS has created new avenues for millet biotechnological interventions such as mutation-based study, GWAS, GS, and other omics technologies. The simultaneous discovery of high-throughput markers and multiplexed genotyping platform has aggressively aided marker-assisted breeding for millet improvement. Therefore, omics technology offers excellent opportunities to explore and combine useful variations for targeted traits that could impart high nutritional value to high-yielding cultivars under changing climatic conditions. In millet improvement, an in-depth account of NGS, integrating genomics data with different biotechnology tools, is reviewed in this context.

Indexed as

MilletsPlant BreedingEdible GrainGenomicsPhenotypeGenome-wide association studyGenomic selectionGenotypingMilletNext-generation sequencingOmics

Identifiers

What OpenQuestion holds

Textmetadata
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.