Omics Approaches for Crop Improvement—Volume II

Dear Colleagues,

The growing human population and climate change are imposing unprecedented challenges for the global food supply. To cope with these pressures, crop improvement demands enhancing agronomical important traits such as yield, resistance, and nutritional value by pivoting direct and indirect genetically assisted approaches. The development of last-generation high-throughput screening technologies, known as omics, promises to speed up trait improvement in plants. Large-scale techniques such as genomics, transcriptomics, proteomics, metabolomics, and phenomics have already retrieved large volumes of data as never before that, merged through bioinformatics and machine-learning approaches, are helping us understand the mechanisms behind crop features. Omics datasets are not only being generated from tissues of a single genotype but are also permeating macro-scale interactions to deepen our knowledge of crop behavior across the microbial and environmental continua. However, despite these massive technological and computational developments, cohesive efforts to combine contrasting omics studies within common pathways and cellular networks of crop systems are in their infancy. Therefore, this Special Issue envisions offering updated views on multidimensional large-scale omics-based approaches. Specifically, we welcome studies that explore the uses of the omics paradigm, and their integration through trans-disciplinary bioinformatics, as tools to improve qualitative and quantitative traits in crop species.

Dr. Roxana Yockteng
Dr. Andrés J. Cortés
Dr. María Ángeles Castillejo
Guest Editors

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