title: Conditional QTL mapping for waterlogging tolerance in two RILs populations of wheat.
abstract: Waterlogging is a widespread limiting factor for wheat production throughout the world, specially irrigated and high rainfall environments. Only few studies reported QTLs for waterlogging tolerance. To identify quantitative trait loci (QTLs) for waterlogging tolerance, root dry weight index (RDWI), shoot dry weight index (SDWI), total dry weight index (TDWI) were measured at seedling stage in two unrelated recombinant inbred lines (RILs) populations. These populations were International Triticeae Mapping Initiative (ITMI) population 'W7984 / Opata85', and 'SHW-L1 × Chuanmai 32' (SC) population. Conditional QTL mapping and unconditional QTL mapping were studied to dissect the genetic relationship between TDWI and its components of SDWI and TDWI. Total of 36 QTLs for waterlogging tolerance in ITMI population and 10 QTLs in SC population were identified in present study. Of them, 17 alleles from synthetic hexaploid wheat 'W7984' and 3 alleles from synthetic hexaploid wheat 'SHW-L1' contribute positively to waterlogging tolerance. Combinations of conditional and unconditional mapping methods indicate that SDWI showed tighter genetic correlation with TDWI than RDWI. This QTL identification study and dissection provide theoretical basis and application foundation to Marker-assisted selection (MAS) of waterlogging tolerance improvement in wheat.
authors.affiliation: Triticeae Research Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang, Chengdu, Sichuan 611130 China.
authors.forename: Ma
authors.initials: M
authors.lastname: Yu
authors.forename: Guo-Yue
authors.initials: GY
authors.lastname: Chen
keywords: Conditional and unconditional mapping; QTL; Waterlogging tolerance