|Smith, Nathan -|
|Guttieri, Mary -|
|Shoots, Jenny -|
|Sorrells, Mark -|
|Sneller, Clay -|
Submitted to: Crop Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: February 18, 2011
Publication Date: January 1, 2012
Repository URL: http://handle.nal.usda.gov/10113/53734
Citation: Smith, N., Guttieri, M., Souza, E.J., Shoots, J., Sorrells, M., Sneller, C. 2012. Identification of QTL for grain quality traits in a cross of soft wheat cultivars Pioneer brand ‘25R26’ and ‘Foster’. Crop Science. 52(1):21. Interpretive Summary: Soft wheat quality has very strong genetic control but the chromosomal location of the genes in soft wheat quality are relatively unknown. We mapped milling and flour quality traits in three related populations of soft red winter wheat. The control of the quality is complex. Many of the chromosomal locations control more than one aspect of the flour quality. Chromosome 1B and 2B appear to have the highest frequency of genes controlling flour quality among the 21 chromosomes of wheat. This paper is the first in a set of research to produce markers for breeding for quality.
Technical Abstract: End-use quality of wheat, defined by milling, composition, and rhealogical properties, is vital to the entire wheat industry. An improved understanding of the genetics that control wheat quality is needed to efficiently improve wheat quality. Our objective was to determine the genetics of multiple soft wheat quality parameters in a population derived from crossing two soft wheat cultivars and validating the results in two additional populations. We developed 171 families from the cross Foster x Pioneer 25R26 and performed quality analysis on grain from four environments. The quality traits were four yield (FY) and protein (FP), softness equivalent (SE), and water (WA), sodium carbonate (SO), sucrose (SU) and lactic acid (LA) solvent retention capacities. The families were genotyped with markers and a QTL analyses was performed. All traits were very heritable, transgressive segregants were noted. The traits FY, WA, SO, and SU were correlated to one another as were SE and FP. A total of 30 QTL for the seven traits were detected from 12 regions of the genome. Two regions of chromosome 1B had QTL with the greatest effect on WA, SO, FY, and LA while one region of chromosome 2B had the QTL with the greatest effect on FP, SE, and SU. In general, QTL for correlated traist were coincident. Some of the QTL effects were also detected in the validation populations indicating they are suitable candidates for marker-assisted selection.