@article{fdi:010073683,
  title = {{T}he spring of systems biology-driven breeding},
  author = {{L}avarenne, {J}. and {G}uyomarc'h, {S}. and {S}allaud, {C}. and {G}antet, {P}ascal and {L}ucas, {M}ika{\¨e}l},
  editor = {},
  language = {{ENG}},
  abstract = {{G}enetics and molecular biology have contributed to the development of rationalized plant breeding programs. {R}ecent developments in both high-throughput experimental analyses of biological systems and in silico data processing offer the possibility to address the whole gene regulatory network ({GRN}) controlling a given trait. {GRN} models can be applied to identify topological features helping to shortlist potential candidate genes for breeding purposes. {T}ime-series data sets can be used to support dynamic modelling of the network. {T}his will enable a deeper comprehension of network behaviour and the identification of the few elements to be genetically rewired to push the system towards a modified phenotype of interest. {T}his paves the way to design more efficient, systems biology-based breeding strategies.},
  keywords = {},
  booktitle = {},
  journal = {{T}rends in {P}lant {S}cience},
  volume = {23},
  numero = {8},
  pages = {706--720},
  ISSN = {1360-1385},
  year = {2018},
  DOI = {10.1016/j.tplants.2018.04.005},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073683},
}