ReviewOmics : a journal of integrative biology2015
Systems Biology for Smart Crops and Agricultural Innovation: Filling the Gaps between Genotype and Phenotype for Complex Traits Linked with Robust Agricultural Productivity and Sustainability.
Review in Omics : a journal of integrative biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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.
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.
Who cites it
31 citing papers in PubMed.
- Review
- Unlocking the potential of rice bean (Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems · 2026Article
- Engineering crop determinacy: CRISPR/Cas based advances in self-pruning gene function and application.Molecular biology reports · 2026Review
- Genetic enhancement of root, tuber and cereal crops via pangenomics, multi-omics integration and AI-driven prediction.Frontiers in plant science · 2026Review
- Accelerating crop improvement via integration of transcriptome-based network biology and genome editing.Planta · 2025Review
- Spatial-Temporal Dynamics of Adventitious Roots ofLife (Basel, Switzerland) · 2025Article
- Plant Physiological Analysis to Overcome Limitations to Plant Phenotyping.Plants (Basel, Switzerland) · 2023Review
- How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques.Plant methods · 2023Review
- Genomic and genetic advances of oiltea-camellia (Frontiers in plant science · 2023Review
- Multi-Omics Approaches to Improve Clubroot Resistance in Brassica with a Special Focus onInternational journal of molecular sciences · 2022Review
- Understanding saffron biology using omics- and bioinformatics tools: stepping towards a better Crocus phenome.Molecular biology reports · 2022Article
- Article
- Applications of Multi-Omics Technologies for Crop Improvement.Frontiers in plant science · 2021Review
- Use of Integrative Interactomics for Improvement of Farm Animal Health and Welfare: An Example with Fescue Toxicosis.Toxins · 2020Review
- Computational analysis of microarray data of Arabidopsis thaliana challenged with Alternaria brassicicola for identification of key genes in Brassica.Journal, genetic engineering & biotechnology · 2020Article
- Bioinformatics Resources for Plant Abiotic Stress Responses: State of the Art and Opportunities in the Fast Evolving -Omics Era.Plants (Basel, Switzerland) · 2020Review
- Identification of Transcription Factors Regulating Senescence in Wheat through Gene Regulatory Network Modelling.Plant physiology · 2019Article
- A robust circadian rhythm of metabolites in Arabidopsis thaliana mutants with enhanced growth characteristics.PloS one · 2019Article
- Article
- Systems biology of seeds: decoding the secret of biochemical seed factories for nutritional security.3 Biotech · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, rapid developments in several omics platforms and next generation sequencing technology have generated a huge amount of biological data about plants. Systems biology aims to develop and use well-organized and efficient algorithms, data structure, visualization, and communication tools for the integration of these biological data with the goal of computational modeling and simulation. It studies crop plant systems by systematically perturbing them, checking the gene, protein, and informational pathway responses; integrating these data; and finally, formulating mathematical models that describe the structure of system and its response to individual perturbations. Consequently, systems biology approaches, such as integrative and predictive ones, hold immense potential in understanding of molecular mechanism of agriculturally important complex traits linked to agricultural productivity. This has led to identification of some key genes and proteins involved in networks of pathways involved in input use efficiency, biotic and abiotic stress resistance, photosynthesis efficiency, root, stem and leaf architecture, and nutrient mobilization. The developments in the above fields have made it possible to design smart crops with superior agronomic traits through genetic manipulation of key candidate genes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.