@article{fdi:010086444,
  title = {{T}he {OMICAS} alliance, an international research program on multi-omits for crop breeding optimization},
  author = {{J}aramillo-{B}otero, {A}. and {C}olorado, {J}. and {Q}uimbaya, {M}. and {R}ebolledo, {M}. {C}. and {L}orieux, {M}athias and {G}hneim-{H}errera, {T}. and {A}rango, {C}. {A}. and {T}obon, {L}. {E}. and {F}inke, {J}. and {R}ocha, {C}. and {M}unoz, {F}. and {R}iascos, {J}. {J}. and {S}ilva, {F}. and {C}hirinda, {N}. and {C}accamo, {M}. and {V}andepoele, {K}. and {G}oddard, {W}. {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {OMICAS} alliance is part of the {C}olombian government's {S}cientific {E}cosystem, established between 2017-2018 to promote world-class research, technological advancement and improved competency of higher education across the nation. {S}ince 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. {T}he 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 omits hierarchy and under contrasting conditions, to elucidate epigenome-, genome-, proteome- and metabolome-phenome relationships. {T}he 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. {H}ere, 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.},
  keywords = {{M}utti-omics ; crops breeding ; foodomics ; nanotechnology ; rice and sugarcane ; in-silico optimization ; {COLOMBIE}},
  booktitle = {},
  journal = {{F}rontiers in {P}lant {S}cience},
  volume = {13},
  numero = {},
  pages = {992663 [20 ]},
  ISSN = {1664-462{X}},
  year = {2022},
  DOI = {10.3389/fpls.2022.992663},
  URL = {https://www.documentation.ird.fr/hor/fdi:010086444},
}