Full TGIF Record # 309586
Item 1 of 1
Web URL(s):https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/119817
    Last checked: 12/04/2019
    Requires: JavaScript
Publication Type:
Content Type:Abstract or Summary only
Author(s):Qu, Henry Yuanshuo; Green, Edwin J.; Bonos, Stacy A.; Meyer, William A.
Author Affiliation:Qu, Bonos, and Meyer: Department of Plant Biology, Rutgers University, New Brunswick, NJ; Green: Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ
Title:Genetic analysis on drought response of tall fescue [Festuca arundinacea (schreb.)] in rain-out shelter using bayesian mixed linear models
Section:C05 turfgrass science
Other records with the "C05 turfgrass science" Section

Molecular techniques, genetics and plant breeding oral (includes student competition)
Other records with the "Molecular techniques, genetics and plant breeding oral (includes student competition)" Section
Meeting Info.:San Antonio, Texas: November 10-13, 2019
Source:ASA, CSSA and SSSA International Annual Meetings. 2019, p. 119817.
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Keywords:TIC Keywords: Drought resistance; Drought stress; Festuca arundinacea; Genetic analysis; Genetic variability; Heritability; Models; Weather shelters
Abstract/Contents:"Rain-out shelters have been widely used in the breeding and selection of Tall fescue[Festuca arundinacea(Schreb.)] for improved drought tolerance. Green persistence during drought is one of the important traits with obvious phenotypic variations upon which to base selection. In this study, we closely monitored and documented two consecutive generations of tall fescue populations tested in rain-out shelter trials with half-sib designs, and seek to optimize this selection procedure by a thorough genetic analysis. Bayesian linear mixed models were applied to collected datasets, and important population parameters, such as heritability and variance components, were estimated. We first reported the heritability estimates for green persistence of tall fescue in rain-out shelter selection, and then proposed a parsimonious selection scheme that incorporates either pedigree or SNP markers information to maximize selection gain while reducing space demand."
Note:This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Qu, H. Y., E. J. Green, S. A. Bonos, and W. A. Meyer. 2019. Genetic analysis on drought response of tall fescue [Festuca arundinacea (schreb.)] in rain-out shelter using bayesian mixed linear models. Agron. Abr. p. 119817.
Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=309586
If there are problems with this record, send us feedback about record 309586.
Choices for finding the above item:
Web URL(s):
    Last checked: 12/04/2019
    Requires: JavaScript
Find from within TIC:
   Digitally in TIC by record number.
Request through your local library's inter-library loan service (bring or send a copy of this TGIF record)