About this Research Topic
The world is undergoing food security catastrophes rooted in climate change and natural resource overexploitation. Global warming is posing severe threats to crop production. Among the consequence of warming are mentioned: insect pests, diseases, and drought. Furthermore, food and feed crop availability is further limited by ongoing wars and conflicts. These factors seriously threaten the agricultural productivity and the economy of several societies, leading to food insecurity as an emerging threat to several countries around the globe.
Crop breeding improves crop yields but the traditional methods require a long generation time. Modern biotechnological procedures and omics disciplines in conventional breeding widen the available tools to speed up breeding programs. Omics techniques have widened the availability of crop plant genomes, enhancing the elucidation of the genetic basis of favorable crop traits with the aim to improve crops’ resilience against biotic and abiotic stresses to deal with food and nutritional insecurity.
Similarly, the advances in bioinformatics tools, artificial intelligence, and machine learning have digitized and furthered speeding up the breeding process.
This Research Topic will collect current knowledge and recent advances in integrated and omics approaches in crop breeding. These are particularly appreciated submissions that cover smart breeding and forecast the essential areas for future research leading to zero hunger on the planet. These may include omics disciplines, functional genomics, transcriptomics, proteomics, phenomics, ionomics, translatomics, metabolomics, pangenomics, epigenomics, and genome editing.
The Research Topic will accept original research and review articles related yet not limited to the following themes:
•Next Generation Sequencing innovations and gene identification for crop breeding
•Genome editing approaches and speed breeding for crop improvement
• Pan-genomics, machine learning, and bioinformatics tools for the modern breeding
Crop breeding improves crop yields but the traditional methods require a long generation time. Modern biotechnological procedures and omics disciplines in conventional breeding widen the available tools to speed up breeding programs. Omics techniques have widened the availability of crop plant genomes, enhancing the elucidation of the genetic basis of favorable crop traits with the aim to improve crops’ resilience against biotic and abiotic stresses to deal with food and nutritional insecurity.
Similarly, the advances in bioinformatics tools, artificial intelligence, and machine learning have digitized and furthered speeding up the breeding process.
This Research Topic will collect current knowledge and recent advances in integrated and omics approaches in crop breeding. These are particularly appreciated submissions that cover smart breeding and forecast the essential areas for future research leading to zero hunger on the planet. These may include omics disciplines, functional genomics, transcriptomics, proteomics, phenomics, ionomics, translatomics, metabolomics, pangenomics, epigenomics, and genome editing.
The Research Topic will accept original research and review articles related yet not limited to the following themes:
•Next Generation Sequencing innovations and gene identification for crop breeding
•Genome editing approaches and speed breeding for crop improvement
• Pan-genomics, machine learning, and bioinformatics tools for the modern breeding
Keywords: Food Security, Agriculture, Food Sustainability, Innovative technologies
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
