Ben Hui Liu

TL;DR: This chapter discusses QTL Mapping, which automates the very labor-intensive and therefore time-heavy and expensive and expensive process of mapping, and some of the approaches used to achieve this goal.

TL;DR: Quantitative trait locus (QTL) and QTL x environment (E) interaction effects for agronomic and malting quality traits were measured using a 123-point linkage map and multi-environment phenotype data from an F1-derived doubled haploid population of barley.

TL;DR: This map should provide a useful framework for merging existing loblolly pine maps and adding multiallelic markers as they become available, and coverage with dominant markers in both linkage phases will make the map useful for subsequent quantitative trait locus mapping in families derived by self-pollination.

TL;DR: Quantitative trait loci controlling traits associated with winterhardiness in barley (field survival, LT50, growth habit, and crown fructan content) were mapped to chromosome 7 in a population of 100 F1-derived doubled haploid lines and it was found that QTL association may be due to linkage rather than pleiotropy.

TL;DR: Amplified fragment length polymorphism analysis is a rapid and efficient technique for detecting large numbers of DNA markers in eucalypts and the linkage data developed in these maps will be used to detect loci controlling commercially important traits.