Evidence map›Paper›PMID 37719711›Full record

ReviewFrontiers in genetics2023

Green revolution to genome revolution: driving better resilient crops against environmental instability.

Rukoo Chawla, Atman Poonia, Kajal Samantara, Sourav Ranjan Mohapatra, S Balaji Naik, M N Ashwath, Ivica G Djalovic, P V Vara Prasad

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 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. Article
  2. Natural variation in VrERF088 modulates drought tolerance during mungbean germination.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  3. Article
  4. Article
  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

8 authors.

Rukoo ChawlaDepartment of Genetics and Plant Breeding, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan, India.
Atman PooniaDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Bawal, Haryana, India.
Kajal SamantaraInstitute of Technology, University of Tartu, Tartu, Estonia.
Sourav Ranjan MohapatraDepartment of Forest Biology and Tree Improvement, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha, India.
S Balaji NaikInstitute of Integrative Biology and Systems, University of Laval, Quebec City, QC, Canada.
M N AshwathDepartment of Forest Biology and Tree Improvement, Kerala Agricultural University, Thrissur, Kerala, India.
Ivica G DjalovicInstitute of Field and Vegetable Crops, National Institute of the Republic of Serbia, Novi Sad, Serbia.
P V Vara PrasadDepartment of Agronomy, Kansas State University, Manhattan, KS, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crop improvement programmes began with traditional breeding practices since the inception of agriculture. Farmers and plant breeders continue to use these strategies for crop improvement due to their broad application in modifying crop genetic compositions. Nonetheless, conventional breeding has significant downsides in regard to effort and time. Crop productivity seems to be hitting a plateau as a consequence of environmental issues and the scarcity of agricultural land. Therefore, continuous pursuit of advancement in crop improvement is essential. Recent technical innovations have resulted in a revolutionary shift in the pattern of breeding methods, leaning further towards molecular approaches. Among the promising approaches, marker-assisted selection, QTL mapping, omics-assisted breeding, genome-wide association studies and genome editing have lately gained prominence. Several governments have progressively relaxed their restrictions relating to genome editing. The present review highlights the evolutionary and revolutionary approaches that have been utilized for crop improvement in a bid to produce climate-resilient crops observing the consequence of climate change. Additionally, it will contribute to the comprehension of plant breeding succession so far. Investing in advanced sequencing technologies and bioinformatics will deepen our understanding of genetic variations and their functional implications, contributing to breakthroughs in crop improvement and biodiversity conservation.

Indexed as

climate changegenome editinggenome revolutiongreen revolutionmarker-assisted selectionomics-assisted breedingQTL mapping

Identifiers

PMID37719711
PMCPMC10500607

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.