The increasing number of novel tools, methods and capacities to elucidate and understand the genome of various organisms is steadily leading the path for similar groundbreaking studies in downstream comprehension of the genomes. Platforms for analytical and functional transcriptomics have seen a similar surge in operational outputs. The cryptic complexity of the DNA in the genomes is manifested in various forms and functions of the RNA it codes for. Such complexity reaches much more elaborate intricacies in the translational protein products of the RNA. Although transcripts regulate a number of biological processes, proteins form the basic functional unit of most procedures that are evinced as a phenotype. Progressively increasing realization that there is limited correspondence between the level of a specifi c transcript and protein is only the beginning of appreciating that predictive biology would be less dependent on transcripts than on proteins. Principles of protein function that were explored much before the DNA and RNA paradigms are coming back to inform the omics world in the functional and regulatory capacity of proteins. Combined with the evolution of the high-throughput analytical capacity for proteins, these are clubbed into what is called proteomics, which is also riding the wave of computational and electronic revolutions in biology. Using such omic technologies for agriculture however lags behind compared to their use in medicine. Nevertheless, the recent appreciation of the need for food and feed security under the predicted climatodemographic scenarios is pushing the frontiers of agricultural research. The use of proteomics in particular is gaining ground rather quickly, and an increased understanding of crop phenotype as related to proteomics is