Quantitative trait locus mapping and genomic selection of tobacco (Nicotiana tabacum L.) based on high-density genetic map

Abstract Tobacco ( Nicotiana tabacum L.) is an economic crop and a model organism for studies of plant biology genetics. As allotetraploid generated from interspecific hybridization, tobacco has massive genome (4.5 Gb). Recently, genetic map with 45,081 single nucleotide polymorphism (SNP) markers was constructed using whole-genome sequencing data population including 274 individuals. This provides basis quantitative trait locus (QTL) mapping genomic selection, which have been widely applied to other crops but not feasible in tobacco. Based on this high-density map, we identified QTLs associated important agronomic traits, chemical compounds dry leaves, hazardous substances processed cigarettes. The LOD values major were highest followed by substances. In addition the identification molecular markers, evaluated selection models found that BayesB had prediction accuracy recombinant inbred line population. Our results offer new insights into mechanism underlying such as traits quality-related tobacco, will be able support application breeding