Full TGIF Record # 324943
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Web URL(s):https://scisoc.confex.com/scisoc/2022am/meetingapp.cgi/Paper/142593
    Last checked: 01/25/2023
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Publication Type:
Content Type:Abstract or Summary only
Author(s):Rockstad, Greta; de Siqueira Gesteira, Gabriel; Yu, Xingwang; Gouveia, Beatriz T.; Milla-Lewis, Susana R.
Author Affiliation:Rockstad: Presenting Author and North Carolina State University; de Siqueira Gesteira, Yu, Gouveia, and Milla-Lewis: North Carolina State University
Title:Identification of QTL associated with drought resistance in St. Augustinegrass
Section:Turfgrass Physiology, Molecular Biology, Microbiome, and Genetics Poster (includes student competition)
Other records with the "Turfgrass Physiology, Molecular Biology, Microbiome, and Genetics Poster (includes student competition)" Section

C05 turfgrass science
Other records with the "C05 turfgrass science" Section
Meeting Info.:Baltimore, Maryland: November 6-9, 2022
Source:ASA, CSSA, SSSA International Annual Meeting. 2022, p. 142593.
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Abstract/Contents:"Drought resistance is an increasingly important trait for many crops including turfgrasses as more municipalities impose restrictions on frequency and amount of irrigation. Breeding efforts have focused on breeding for drought resistance; however, few have focused on the molecular basis of this trait. QTL mapping provides a method to identify regions of the genome associated with a particular trait. Validating these regions in new populations lays the groundwork to implement marker-assisted selection in a breeding program. This study sought to validate QTL regions previously identified for drought resistance in St. Augustinegrass, a warm-season turfgrass commonly grown in the southeastern United States. A biparental population developed from two full sibling lines, XSA 10098 and XSA 10127, was evaluated in two greenhouse trials for drought stress traits including leaf wilting, percent green cover, relative water content, percent recovery, and the area under the leaf wilting-, percent green cover-, and percent recovery curves. A linkage map was constructed from total of 12,269 SNPs, representing the densest St. Augustinegrass linkage map to date. Thirteen QTL were identified from a multiple QTL mapping approach, and five annotated genes with functions related to drought resistance were identified through a BLASTx search of a 10,000 bp region around the peak marker. Regions of overlap from this study and previous St. Augustinegrass drought resistance studies were found on chromosomes 3, 4, 6, and 9. Combining transcriptomic data from an analysis between two St. Augustinegrass genotypes contrasting in their drought resistance, several differentially expressed genes with functions related to drought resistance were found in overlapping QTL regions across studies. These co-localized regions represent target areas from which primers could be designed to implement marker-assisted selection for drought resistance in St. Augustinegrass."
Note:This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Rockstad, G., X. Yu, B. T. Gouveia, S. R. Milla-Lewis, and G. de Siqueira Gesteira. 2022. Identification of QTL associated with drought resistance in St. Augustinegrass. Agron. Abr. p. 142593.
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