Crop improvement has been continuously driven by the demand for food security and sustainability. The caloric and nutritional needs of a growing world population require that global food production increase by one billion tons over the next few decades, but the current growth rate falls far short. Moreover, rapid changes in the environment are accelerating land degradation, aggravating pests and diseases, introducing extreme stresses, and reducing crop productivity.
Genetic technologies and molecular breeding tools offer novel opportunities for modern crop breeding. In the past few decades, remarkable progress has been achieved in the discovery of genes for crop yield, quality, and resistance and in the dissection of plant molecular mechanisms. With the continuous advancement in sequencing technology, molecular markers, and gene editing, a large number of excellent crop varieties have been cultivated.
More recently, many new omics technologies have been developed, e.g., genomics, transcriptomics, proteomics, metabolomics, interactomics, and phenomics. Integrating multi-omics can elucidate the mechanism of biological processes and explore the interactions of various substances, providing new perspectives for understanding complex traits in crops and accelerating molecular breeding. Crop improvement is entering a new era of omics and bioinformatics.
The goal of this Research Topic is to collect the latest advances in understanding the molecular mechanisms of agronomically important traits in crops, such as yield, quality, and resistance to abiotic and biotic stresses. We particularly encourage research derived from the development or application of new omics technologies in crops as well as new methods for the analysis, mining, and visualization of crop omics datasets.
We welcome submissions of all article types on the following subtopics but are not limited to:
• Population genetics, haplotype analysis, and evolution of important genes in crops.
• Development of novel omics technologies for crop improvement, software, and algorithm are also welcomed.
• Multi-omics approaches to understand the molecular basis of important agronomic traits in crops.
• Integration with multi-omics revealing the origin, domestication, and evolutionary history of crop plants.
• Meta-analysis and comparative analysis of crop omics datasets.
Crop improvement has been continuously driven by the demand for food security and sustainability. The caloric and nutritional needs of a growing world population require that global food production increase by one billion tons over the next few decades, but the current growth rate falls far short. Moreover, rapid changes in the environment are accelerating land degradation, aggravating pests and diseases, introducing extreme stresses, and reducing crop productivity.
Genetic technologies and molecular breeding tools offer novel opportunities for modern crop breeding. In the past few decades, remarkable progress has been achieved in the discovery of genes for crop yield, quality, and resistance and in the dissection of plant molecular mechanisms. With the continuous advancement in sequencing technology, molecular markers, and gene editing, a large number of excellent crop varieties have been cultivated.
More recently, many new omics technologies have been developed, e.g., genomics, transcriptomics, proteomics, metabolomics, interactomics, and phenomics. Integrating multi-omics can elucidate the mechanism of biological processes and explore the interactions of various substances, providing new perspectives for understanding complex traits in crops and accelerating molecular breeding. Crop improvement is entering a new era of omics and bioinformatics.
The goal of this Research Topic is to collect the latest advances in understanding the molecular mechanisms of agronomically important traits in crops, such as yield, quality, and resistance to abiotic and biotic stresses. We particularly encourage research derived from the development or application of new omics technologies in crops as well as new methods for the analysis, mining, and visualization of crop omics datasets.
We welcome submissions of all article types on the following subtopics but are not limited to:
• Population genetics, haplotype analysis, and evolution of important genes in crops.
• Development of novel omics technologies for crop improvement, software, and algorithm are also welcomed.
• Multi-omics approaches to understand the molecular basis of important agronomic traits in crops.
• Integration with multi-omics revealing the origin, domestication, and evolutionary history of crop plants.
• Meta-analysis and comparative analysis of crop omics datasets.
