Full TGIF Record # 309593
Item 1 of 1
Web URL(s):https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/121964
    Last checked: 12/05/2019
    Requires: JavaScript
Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Heineck, Garett; Ehlke, Nancy Jo; Altendorf, Kayla; Watkins, Eric
Author Affiliation:Heineck and Watkins: Department of Horticulture Science, University of Minneosta-Twin Cities, St. Paul, MN; Ehlke and Altendorf: Department of Agronomy and Plant Genetics, University of Minnesota-Twin Cities, St. Paul, MN
Title:Increasing competition in perennial ryegrass selection nurseries bolsters prediction accuracy
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. 121964.
# of Pages:1
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
Keywords:TIC Keywords: Lolium perenne; Nurseries; Nursery management; Seed production; Seed yield; Seedling competition
Abstract/Contents:"The success of a turf-type perennial ryegrass variety depends on both adequate turfgrass quality and economic seed yield. In most breeding programs, spaced plants are the initial unit of selection wherein observations of related individuals dictate selections of superior germplasm for further testing. As such, spaced plants must be predictive of both sward environments. This research explored the effectiveness of both standard (3 plants m-2) and competitive (23 plants m-2) spaced plant nurseries as selection environments using 20 turf-type entries. Seed production plots, turfgrass plots, and the two spaced-plant growing environments were tested at two locations in Minnesota in 2017 and 2018. Meaningful breeding targets for seed production were discovered using structural equation modeling (SEM). Traits important for superior turfgrass quality were determined through multiple regression across many rating dates. Results showed that winter survival was imperative to obtain optimum seed yield and turfgrass quality, albeit only to a certain extent. Seed yield was only affected when tiller survival was below 20% whereas turfgrass quality was impacted when tiller survival was much higher (<60%). The seed yield components fertile tiller number, spike yield, and fertility index (seed fill efficiency) were identified by the SEM as important breeding targets. Of these, fertility index in spaced plants was by far the most useful indicator of sward yield, especially in the competitive nursery, where rank correlations were substantial at both locations (rs = 0.52 and 0.81, P < 0.05). For turfgrass traits, genetic color and crown rust were the most important predictors of turfgrass quality. In this case, the competitive spaced plant design offered minor improvements of predictive ability compared to the standard environment. Overall, increased competition between spaced plants improved the predictive ability (rs) for seed production traits and while it offered only a small benefit for most turfgrass traits, it did not decrease predictive ability. Furthermore, the competitive design has a lower field space requirement and facilitates more efficient data collection for many traits compared to a standard design."
Language:English
References:0
Note:This item is an abstract only!
"218-8"
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Heineck, G., N. J. Ehlke, K. Altendorf, and E. Watkins. 2019. Increasing competition in perennial ryegrass selection nurseries bolsters prediction accuracy. Agron. Abr. p. 121964.
Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=309593
If there are problems with this record, send us feedback about record 309593.
Choices for finding the above item:
Web URL(s):
https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/121964
    Last checked: 12/05/2019
    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)