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| Web URL(s): | https://turf.rutgers.edu/research/abstracts/symposium2018.pdf#page=41
Last checked: 06/20/2018
Requires: PDF Reader
Notes: Item is within a single large file; Abstract only |
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| Publication Type:
| Report |
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| Author(s): | Qu, Henry Yuanshuo;
Green, Edwin J.;
Bonos, Stacy A.;
Meyer, William |
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| Author Affiliation: | Qu, Bonos, and Meyer: Department of Plant Biology, Rutgers University; Green: Department of Ecology, Evolution, and Natural Resources, Rutgers University |
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| Title: | Application of Bayesian statistics to selection of drought tolerant tall fescue |
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| Section: | Poster presentations
Other records with the "Poster presentations" Section
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| Meeting Info.: | New Brunswick, New Jersey: January 12, 2018 |
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| Source: | Proceedings of the Twenty-Seventh Annual Rutgers Turfgrass Symposium. 2018, p. 40. |
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| Publishing Information: | New Brunswick, New Jersey: The Center for Turfgrass Science, Rutgers, The State University of New Jersey |
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| # of Pages: | 1 |
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| Keywords: | TIC Keywords: Anoplophora glabripennis; Application rates; Drought resistance; Festuca arundinacea; Statistics
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| Abstract/Contents: | "Perennial ryegrass (Lolium perenne L.) is a cool-season grass native to temperate regions of Asia, North Africa, and Europe. This species is important for forage and turfgrass applications, and it is grown throughout much of the temperate world. In general, perennial ryegrass breeding efforts are directed toward selection for improved turfgrass quality and growth habit, increased disease resistance, higher seed yields, and enhanced tolerance to abiotic and environmental stresses. The efficiency of the selection process can be improved via complementation with molecular markers, which requires the development of a genetic linkage map. For this study, an F1 generation mapping population was established by crossing the parents I06 and A89. The mapping population consisted of the 2 parents and 126 F1 progeny lines. Double digest restriction-site associated DNA libraries were constructed and sequenced for each individual using the Illumina MiSeq and HiSeq 2500 sequencing platforms. The total sequencing output generated exceeded 1.9 x 109 reads, and approximately 10x greater coverage was achieved for the parental lines, compared to progeny lines. Sequence data was used to identify single nucleotide polymorphism (SNP) markers and construct the genetic linkage map. The genetic linkage map included 1,698 SNP markers across 7 linkage bars with a total length of 4,260 cM. On average, there were 243 SNP markers per linkage bar. This genetic linkage map provides a solid foundation for our current and future work. We are currently working to improve the quality of this genetic linkage map by using microsatellite markers to anchor the linkage bars to recognized perennial ryegrass linkage groups. Future research includes using the I06 x A89 mapping population to identify and map quantitative trait loci for salinity tolerance, dollar spot resistance, leaf color, and growth habit." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Qu, H. Y., E. J. Green, S. A. Bonos, and W. Meyer. 2018. Application of Bayesian statistics to selection of drought tolerant tall fescue. Proc. Rutgers Turfgrass Symp. p. 40. |
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| Web URL(s):
https://turf.rutgers.edu/research/abstracts/symposium2018.pdf#page=41
Last checked: 06/20/2018
Requires: PDF Reader
Notes: Item is within a single large file; Abstract only |
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MSU catalog number: b3696858 |
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Digitally in TIC by file name: rutsy2018 |
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