ArticleFrontiers in plant science2022
The ÓMICAS alliance, an international research program on multi-omics for crop breeding optimization.
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Questions and Consequences of Omics in Genetically Engineered Crop Regulation.Plant-environment interactions (Hoboken, N.J.) · 2025Review
- Genetic and molecular insights into tiller development and approaches for crop yield improvement.Frontiers in plant science · 2025Review
- Laser-induced graphene electrochemical sensor for quantitative detection of phytotoxic aluminum ions (AlScientific reports · 2024Article
- An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture.Biology · 2023Review
- Characterization of Rice Yield Based on Biomass and SPAD-Based Leaf Nitrogen for Large Genotype Plots.Sensors (Basel, Switzerland) · 2023Article
- Sequencing vs. amplification for the estimation of allele dosages in sugarcane (Applications in plant sciencesArticle
Corrections and comments
- Erratum issued
Authors and funding
17 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The OMICAS alliance is part of the Colombian government's Scientific Ecosystem, established between 2017-2018 to promote world-class research, technological advancement and improved competency of higher education across the nation. Since the program's kick-off, OMICAS has focused on consolidating and validating a multi-scale, multi-institutional, multi-disciplinary strategy and infrastructure to advance discoveries in plant science and the development of new technological solutions for improving agricultural productivity and sustainability. The strategy and methods described in this article, involve the characterization of different crop models, using high-throughput, real-time phenotyping technologies as well as experimental tissue characterization at different levels of the omics hierarchy and under contrasting conditions, to elucidate epigenome-, genome-, proteome- and metabolome-phenome relationships. The massive data sets are used to derive in-silico models, methods and tools to discover complex underlying structure-function associations, which are then carried over to the production of new germplasm with improved agricultural traits. Here, we describe OMICAS' R&D trans-disciplinary multi-project architecture, explain the overall strategy and methods for crop-breeding, recent progress and results, and the overarching challenges that lay ahead in the field.
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Registered trials
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