QTL analysis of malting quality traits in two barley populations

Abstract

Selection for malting quality traits is a major breeding objective for barley breeding programs. With molecular markers linked to loci affecting these traits, this selection can be undertaken at an earlier stage of the breeding program than is possible using conventional tests. Quantitative trait loci (QTLs) associated with malting quality traits were mapped in 2 populations derived from parents with elite malting quality. Progeny from an Arapiles/Franklin population grown in 4 environments and an Alexis/Sloop population grown in 5 environments were tested for grain protein percentage, α-amylase activity, diastatic power, hot water extract, wort viscosity, wort β-glucan, β-glucanase, and free α-amino acids. QTL analysis was performed using a one-stage approach, which allowed for modelling of spatial variation in the field, and in each phase of the malting quality analysis in the laboratory. QTLs for malting quality traits were detected on all chromosomes and for both populations. Few of these QTLs were significant in all of the environments, indicating that QTL × environment interactions were important. There were many coincident QTLs for traits that are expected to be related such as diastatic power and α-amylase activity, wort β-glucan and wort viscosity and for some traits that are not expected to be related such as hot water extract and malt viscosity.

Assessment of genetic diversity by simple sequence repeat markers among forty elite varieties in the germplasm for malting barley breeding

“…It was reported that the SSR marker EBmac0501 on chromosome 1H was associated with malt extract (Zale et al, 2000;Hoffman and Dahleen, 2002;Emebiri et al, 2004;Panozzo et al, 2007). In our study, the results generated from genotyping of EBmac0501 indicated that eight malting barley varieties 'Yangnongpi 4', 'Amaji Nijo', 'Daner', 'ZJU 8', 'Supi 3', 'Zhepi 8', 'Hua 30', and 'Xiumai 3' showed the same allele.…”

“…SSR markers, an excellent molecular marker system with the advantages of being codominant, abundant, highly reproducible, highly polymorphic, and easy to assay, have been used in many types of genetic analyses such as the construction of linkage maps, diversity assessment of germplasm, and identification of molecular markers for marker-assisted selection (Matus and Hayes, 2002;Marcel et al, 2007;Pushpendra et al, 2007). Quantitative trait locus (QTL) analysis of malting quality has been performed in recent years on a number of crosses derived from different germplasm sources originating from North America, Europe, and Australia, and significant advances in knowledge have been achieved (Zale et al, 2000;Hoffman and Dahleen, 2002;Li et al, 2003;Emebiri et al, 2004;Marcel et al, 2007;Panozzo et al, 2007;.…”

Dissecting the telomere region of barley chromosome 5HL using rice genomic sequences as references: new markers for tracking a complex region in breeding

“…The present study demonstrated that there was small difference of the closest linked markers for different traits in the traditional QTL region for malting quality Li et al 2003Li et al , 2005Mather et al 1997;Marquez-cedillo et al 2000;Panozzo et al 2007;Von Korff et al 2008) when more molecular markers were mapped in the chromosome region. The results in Table 3 indicate that there exist multi-locus clusters for different quality traits in this chromosome region.…”

“…Numerous genes and QTL have been identified that are related to malting quality and these have been reviewed by various authors (Kleinhofs and Han 2002;Fox et al 2003;Li et al 2009). Although there was strong QTL × E interaction for the malting quality traits (Panozzo et al 2007), the terminal region of chromosome 5HL has been consistently detected to control multiple malting quality traits (Mather et al 1997;Marquez-Cedillo et al 2000;Collins et al 2003;Li et al 2003;Hayes et al 2003;Li et al 2005;Panozzo et al 2007;Von Korff et al 2008). These traits included malt extract, diastatic power, free amino acid nitrogen, soluble nitrogen, alpha-amylase activity, wort viscosity, beta-glucan and beta-glucanase.…”

Statistical methods for QTL mapping and genomic prediction of multiple traits and environments: case studies in pepper

“…It can account for both intra-and inter-trial variability in the estimation of QTL effects and trait values prediction (Van Eeuwijk et al, 2010). Mixed models have been extensively applied in many QTL mapping settings (Anhalt et al, 2009;Boer et al, 2007;Hackett et al, 2001;Klasen et al, 2012;Korte et al, 2012;MacMillan et al, 2006;Malosetti et al, 2008;Malosetti et al, 2006;Malosetti et al, 2004;Panozzo et al, 2007;Piepho, 2000;Verbyla et al, 2003;Xu, 2013), ranging from single trait single environment analysis up to the most complex setting of multi-trait multi-environment (MTME) with various interactions (traits, environments and/or environmental characterizations).…”