Strategic Short Note: Integration of Multiomics Approaches for Sustainable Crop Improvement

Optimizing climate-change adaptation is required to bring the new solutions to increase agricultural productivity, ensuring that food security and environmental protection become the anbitious challenges confronting by the scientists in this twenty-first century. In this regard, responses to the biotic and abiotc stress determination of crops and analyzing signal pathways have been recognized the most efficient way for the elucidation of growth, senescence, yield, and the responses to the variety of crops that have benefited greatly from the use of multiomics approaches and high-throughput techniques for climate adaptation. These omics approaches have been implemented in some important crops including wheat (Triticum aestivum L.), soybean (Glycine max), tomato (Solanum lycopersicum), barley (Hordeum vulgare L.), maize (Zea mays L.), millet (Setaria italica L.), cotton (Gossypium hirsutum L.), Medicago truncatula, and rice (Oryza sativa L.). This multiomics would provide insights into the functional mechanisms of genes and their networks to improve crop science, genetics, growth, yield, and resistance in response to physiological and environmental stress. The recent developments of bioinformatics and artifical intelleligence (AI) opened the opportunity for interconnected approach and supported with informations for creating climate resilient, higher nutritive crops to ensure food security. In this regard, phenotype-to- genotype and genotype-to-phenotype approach based on integration of multiomics with systems biology and biorinformatics in response to environmental stress has been proposed here, which may also be useful to improve crop breeding.