Author Description

Global climate change, reductions in arable land, and food security demands that plant breeding will continue to play an imperative role in feeding 9 billion people sustainably by 2050. In order to face this challenge, modern plant breeding will necessitate the adoption of new technologies and practices to boost production of cultivated plants by capturing or generating more favorable genetic diversity. In crop plants, the majority of agronomically important traits are quantitatively inherited, controlled by multiple genes each with a small effect (quantitative trait loci, QTLs). The most common approach to pre-breeding is to use genetic mapping to identify QTLs for key phenotypic variation followed by introgressing those QTLs into the elite gene pool with marker-assisted selection (MAS), which can enhance the selection criteria of phenotypes comparing to conventional breeding with the selection of genes. As the cost of genotyping continues to decline, the use of genotyping-by-sequencing (GBS) technologies or whole genome re-sequencing, coupled with the release of the genome sequences of plant species have permitted the development of dense arrays of single nucleotide polymorphisms (SNPs) covering the entire genome, which have in turn paved the way to genome-wide association studies (GWAS). Meanwhile, fine mapping guided by genome sequences of many plant species have facilitated the exploration of functional genes; in addition, pan-genomes constructed from various available resources such as the reference sequence and its variants, raw reads and haplotype reference panels provide a new perspective on QTL locations and potential molecular targets for plant breeding. Similarly, new approaches to marker-trait association analyses such as quantitative trait locus sequencing (QTL-seq) and quantitative trait gene sequencing (QTG-seq) that are based on bulked-segregant analysis (BSA) and whole-genome resequencing will help accelerate QTL fine-mapping and identification of