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| Web URL(s): | http://www.grasslandoregon.com/assets/molecular-breeding-of-forage-and-turf.pdf#page=86
Last checked: 09/02/2016
Requires: PDF Reader
Notes: Item is within a single large file |
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| Publication Type:
| Report |
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| Author(s): | Yu, Xiaoqing;
Jiang, Yiwei |
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| Author Affiliation: | Purdue University, West Lafayette, Indiana |
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| Title: | Improving association analysis of stress tolerance traits by model testing and selection in perennial ryegrass |
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| Section: | Poster abstracts
Other records with the "Poster abstracts" Section
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| Meeting Info.: | Salt Lake City, Utah: June 4-7, 2012 |
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| Source: | Proceedings of the 7th International Symposium on the Molecular Breeding of Forage and Turf. 2012, p. 86. |
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| Publishing Information: | s.l.: s.n. |
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| # of Pages: | 1 |
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| Keywords: | TIC Keywords: Association mapping; Cold resistance; Drought resistance; Lolium perenne; Models; Population genetics
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| Abstract/Contents: | "Population structure and/or relative kinship in the association mapping population can often result in many false positive association signals between gene and traits. Model testing and selection of the best model can increase accuracy of association mapping results. We conducted model testing and fitting for phenotypic traits related to drought tolerance and cold hardiness in 192 globally collected perennial ryegrass (Lolium perenne L.) accessions screened by 109 simple sequence repeat markers. Following the previously recommended procedures, simple linear model, Q (considering population structure), K (considering relative kinship) and Q + K models were tested with subpopulation membership percentage as fixed covariates and with kinship as a random effect. The best t model was determined for each trait based on the value of Bayesian information criterion (BIC). The lower BIC indicated a better model fitting. We found that the Q model either had the lowest BIC value or had the second lowest BIC value for all the phenotypic traits in this mapping population. Approximately 83% and 73% of false positive correlations were eliminated after controlling population structure (Q model) for drought tolerance and cold hardiness, respectively; compared to the simple linear model. Our results demonstrate that model testing can largely eliminate noise signals in association mapping study of stress tolerance in perennial ryegrass." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only!
"ISBN: 978-1-4675-4762-8"
"MBFT2012" |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Yu, X., and Y. Jiang. 2012. Improving association analysis of stress tolerance traits by model testing and selection in perennial ryegrass. Proceedings of the 7th International Symposium on the Molecular Breeding of Forage and Turf. p. 86. |
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| Web URL(s):
http://www.grasslandoregon.com/assets/molecular-breeding-of-forage-and-turf.pdf#page=86
Last checked: 09/02/2016
Requires: PDF Reader
Notes: Item is within a single large file |
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Digitally in TIC by file name: mbfat2012 |
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