Bioinformatics and plant breeding

This chapter provides an extensive list of molecular-marker tools and databases for plant breeders. It discusses genomic selection, marker-assisted selection, real-time genotyping in the field, deep learning (refers to a wide range of statistical methods to identify trends and patterns within large and complex datasets), genome-editing tools (e.g. CRISPR/Cas9) to reduce breeding cycle and pan-genomics. The chapter details how bioinformatics can be applied to support plant breeding to produce better crops faster, supporting global food security. Crop breeding continues to accelerate, supported by advances in molecular and genomic data production and analysis. As the datasets continue to grow, more advanced bioinformatics tools and approaches will be required to support the accelerated production of improved crop varieties