Evidence map›Paper›PMID 40612601›Full record

ReviewFrontiers in plant science2025

Evolution of agricultural biotechnology is the paradigm shift in crop resilience and development: a review.

Muhammad Riaz, Erum Yasmeen, Bilal Saleem, Muhammad Khalid Hameed, Maryam Thani Saeed Almheiri, Reem Omar Saeed Al Mir, Ghalia Alameri, Jwaher Salem Khamis Alghafri, Mayank Anand Gururani

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

9 authors.

Muhammad Riaz *Department of Plant Sciences, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Erum Yasmeen *Department of Plant Sciences, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Bilal SaleemNational Institute of Genomics and Advance Biotechnology, National Agriculture Research Centre, Islamabad, Pakistan.
Muhammad Khalid HameedDepartment of Plant Sciences, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Maryam Thani Saeed AlmheiriBiology Department, College of Science, United Arab Emirates University, Al Ain, United Arab Emirates.
Reem Omar Saeed Al MirChemistry Department, College of Science, United Arab Emirates University, Al Ain, United Arab Emirates.
Ghalia AlameriBiology Department, College of Science, United Arab Emirates University, Al Ain, United Arab Emirates.
Jwaher Salem Khamis AlghafriBiology Department, College of Science, United Arab Emirates University, Al Ain, United Arab Emirates.
Mayank Anand GururaniBiology Department, College of Science, United Arab Emirates University, Al Ain, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dual challenges of climate change and population growth have intensified both biotic and abiotic stresses on crops resulting in disruptions of water dissipation patterns, lessen growth, yield, productivity and food security. Therefore, smart and sustainable agriculture practices for climate resilient and high yielding crops is the need of time. For this purpose, Innovation in biotechnological strategies is essential for sustainable agricultural development. Traditional breeding techniques have evolved through molecular approaches like marker-assisted selection (MAS) and quantitative trait loci (QTL) mapping, which accelerate the identification of trait-specific improvements. Mutational breeding, although effective in generating genetic diversity but lacks the precision, accuracy and effectiveness. Transgenic breeding allows for the transfer of beneficial genes across species, but recent advancements have shifted focus toward more refined approaches, such as RNA interference (RNAi) and genome editing tools like CRISPR-Cas9. These technologies enable precise, controlled genetic modifications to enhance traits like stress tolerance, disease resistance, and nutritional content. The integration of cutting-edge multi-omics platforms, including transcriptomics, proteomics, metabolomics combined with robust artificial intelligence (AI) based methods has revolutionizing crop genome elucidation. AI-driven analysis of large-scale biological data has revealed intricate genetic networks and regulatory pathways that underpin stress responses, growth, yield and genetics circuit patterns. These innovations in biotechnology from conventional breeding to advanced data-trait elucidation integrated methods are pushing the boundaries of climate resilient and next generation crop development. This review focused on the future of resilient and sustainable agriculture that lies in the convergence of conventional and molecular breeding, biotechnology approaches and AI's driven strategies that enabling scientists to understand the genomics circuits of crops. These next generationally evolved crops bridging gaps from laboratory to field application with reduced reliance on chemical fertilizers, lessen yield gaps, climate resilience and promising nutritional enrichment. Such crops thrive under harsh environment paving the way for resilient and sustainable crop system development in constantly populating and warming ecosystem.

Indexed as

artificial intelligenceclimate resiliencefood securitygenome editingmolecular breedingsustainable agriculture

Identifiers

PMID40612601
PMCPMC12222179

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.