The major challenge in analyzing and connecting genotype to phenotype data at the organismal level is their integration and visualization for knowledge synthesis, which is required for generating OMICs data-driven predictive models for precision breeding of crops as well as accessing the needs of conservation of biodiversity and long-term sustainability. The Plant Reactome (https://plantreactome.gramene.org) is one such platform that allows integration of data from heterogeneous sources (i.e., published literature, transcriptome, proteome and metabolome data, orthology-based projections) for synthesizing in silico modeling of system-level plant pathway networks including metabolic pathways, biological processes associated with plant development and reproduction, and genetic-regulatory mechanisms that mediate plant survival under varied stress conditions. It provides a valuable framework for understanding how a gene, a group of connected genes, or genotypic differences culminate into a phenotype and supports the generation of data-driven hypotheses for understanding the intra-and -inter-species differences for basic and translational research and precision breeding. Here, we emphasize our recent efforts in using Omics data for improving gene/gene family functional annotations and biocuration of gene-gene networks.