Detection of quantitative trait loci and heterotic loci for plant height using an immortalized F2 population in maize

Abstract

A set of recombinant inbred lines (RIL) derived from Yuyu22, an elite hybrid widespread in China, was used to construct an immortalized F 2 (IF 2 ) population comprising 441 different crosses. Genetic linkage maps were constructed containing 10 linkages groups with 263 simple sequence repeat (SSR) molecular markers. Twelve and ten quantitative trait loci (QTL) were detected for plant height in the IF 2 and RIL populations respectively, using the composite interval mapping method, and six same QTL were identified in the two populations. In addition, ten unique heterotic loci (HL) located on seven different chromosomes were revealed for plant height using the mid-parent heterosis as the input data. These HL explained 1.26%-8.41% of the genotypic variance in plant height heterosis and most expressed overdominant effects. Only three QTL and HL were located in the same chromosomal region, it implied that plant height and its heterosis might be controlled by two types of genetic mechanisms. maize, plant height, heterotic loci, QTL, detection

Identification of heterotic loci associated with grain yield and its components using two CSSL test populations in maize

“…have reported that only 12.08% of HL (7/58) were also detected by QTL analysis. Tang et al 60. have found that 25% of QTLs and 30% of HL associated with plant height in an IF 2 population in maize had the same chromosomal locus.…”

Mapping Heterotic Loci for Yield and Agronomic Traits Using Chromosome Segment Introgression Lines in Cotton

“…Some HL and SL were found to be distributed in close proximity in several genomic regions (<Tang et al ; Luo et al ), indicating that clustered loci might be associated with different related traits. In our study, several loci were clustered on chromosomes A4, A8, A13, and D10.…”

Influence of dent corn genetic backgrounds on QTL detection for plant-height traits and their relationships in high-oil maize

“…The influence of genetic background on QTL detection for PH and/or EH has been reported in many studies using different populations derived from various parents (Berke and Rocheford 1995; tween different generations (Veldboom and Lee 1996;Austin et al 2001;Tang et al 2006;Li et al 2007), or several testers and connected populations (Beavis et al 1991(Beavis et al , 1994Mihaljevic et al 2004;Yu et al 2006). Therefore, to generate genetic characteristics of plant-height traits at the global level, QTL mapping must be conducted using a large number of populations derived from different parents with various genetic backgrounds.…”