Systems biology for crop improvement

In recent years, generation of large-scale data from genome, transcriptome, proteome, metabolome, epigenome, and others, has become routine in several plant species. Most these datasets different crop species, however, were studied independently as a result, full insight could not be gained on the molecular basis complex traits biological networks. A systems biology approach involving integration multiple omics data, modeling, prediction cellular functions is required to understand flow information that underlies traits. this context, with multiomics crucial allows holistic understanding dynamic system levels organization interacting external environment for phenotypic expression. Here, we present progress made area various studies-integrative approaches special focus application improvement. We have also discussed challenges opportunities integration, underpinning yield stress tolerance major cereals legumes.