Degree
Doctor of Philosophy (PhD)
Department
Plant, Environmental, and Soil Sciences
Document Type
Dissertation
Abstract
Bacterial leaf streak (BLS) and black chaff, caused by Xanthomonas translucens pv. undulosa (Xtu), can be a very destructive disease of wheat, especially in the warmer, wetter areas of the Southeastern U.S. Yield losses of up to 40 percent have been recorded in some cases in southern wheat growing regions. With no effective agronomic or chemical method of disease control, identification of genetic resistance is seen as a promising solution. Three soft red winter wheat populations (GAWN, ARK-SNP, and AGS 2060- AGS 2035 DH) representative of soft red winter wheat germplasm in the southeastern U.S. developed by the LSU AgCenter wheat breeding program and the “SunGrains” consortium were used for this study. The main objective of this study was to screen wheat germplasm for resistance to bacterial streak and identify significant single nucleotide polymorphisms (SNPs) in linkage disequilibrium (LD) with resistance to BLS.
Ratings were recorded for leaf and head infection on a percentage (1-100) scale, and then plants were rated based on the overall visualization of the damage on a 1-10 scale (1 being no symptom to 10 being dead). Significant analysis of variance (ANOVA) and Pearson’s Correlation matrices for the observed traits in multiple environments indicate promising phenotypic results. Initial association mapping and biparental quantitative trait locus (QTL) mapping using the 9K and 90K SNP array genotypic data showed 62, 27, and 9 SNPs significantly contributing to BLS resistance across all traits and environments for each of our three diverse populations, thus confirming that this is indeed a complex, quantitative trait. A reduced SNP set of 34 unique markers was constructed to identify significant and stable sources that could be used for increasing resistance to Xtu in wheat. DNA markers identified in this study can be used in MAS (marker assisted selection) for BLS resistance in wheat breeding programs and could be integrated as fixed-effect variables for the development of a robust GS (genomic selection) model.
Date
11-2-2022
Recommended Citation
Meritt, Benjamin Tyler, "Identification of Quantitative Trait Loci (QTLs) for Resistance to Bacterial Leaf Streak: Xanthomonas Translucens Using QTL and Association Mapping in Three Populations of Soft Red Winter Wheat" (2022). LSU Doctoral Dissertations. 6015.
https://repository.lsu.edu/gradschool_dissertations/6015
Committee Chair
Harrison, Stephen A.
DOI
10.31390/gradschool_dissertations.6015
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Genetics Commons, Genomics Commons, Molecular Genetics Commons, Other Genetics and Genomics Commons, Plant Breeding and Genetics Commons, Plant Pathology Commons