Full TGIF Record # 317124
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Web URL(s):https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/134885
    Last checked: 03/31/2022
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Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Barreto Ortiz, Joan; Watkins, Eric; Ehlke, Nancy Jo
Author Affiliation:Barreto Ortiz: University of Minnesota-Twin Cities, St. Paul, MN; Watkins: Department of Horticultual Science, University of Minnesota-Twin Cities, St. Paul, MN; Ehlke: Department of Agronomy and Plant Genetics, University of Minnesota-Twin Cities, St. Paul, MN
Title:Image analysis of inflorescence morphology in perennial ryegrass (Lolium perenne L.) to understand the genetics of seed shattering
Section:Molecular techniqies, genetics, and turfgrass breeding oral (includes student competition)
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C05 turfgrass science
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Meeting Info.:Salt Lake City, Utah: November 7-10, 2021
Source:ASA, CSSA and SSSA International Annual Meetings. 2021, p. 134885.
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Abstract/Contents:"Besides being the major cause of yield reduction in perennial ryegrass (Lolium perenne L.), seed shattering is a difficult trait to quantify. Designing genetics studies towards improving seed retention requires robust and reliable methods instead of the subjective and imprecise visual estimates from conventional phenotyping. Image analysis reduces subjectivity, guarantees precision, and can provide large amounts of data to capture substantial phenotypic to facilitate gene mapping approaches. Inflorescence morphology determines seed yield and pleiotropically influences shattering in several grass species. Therefore, a holistic approach to understand morphology may result in higher heritability estimates and genetic gain in seed yield. Our preliminary studies showed that multivariate traits derived from image analysis of spike morphology were significantly associated with seed retention and yield-related traits. Our ongoing studies aim to estimate the heritability of such multivariate traits as well as seed retention and yield, measured quantitatively across a breeding population. In this talk, we will be presenting preliminary results from applying our imaging pipeline to field experiments, reviewing the current limitations of our imaging pipeline and how we aim to improve accuracy and robustness using machine learning techniques. We will also discuss the implications for breeding high-yielding cultivars and the potential deployment of imaging tools to facilitate crop management."
Language:English
References:0
Note:This item is an abstract only!
"281-4"
Includes video, "Image analysis of inflorescence morphology in perennial ryegrass to understand the genetics of shattering", 14:36
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Barreto Ortiz, J., E. Watkins, and N. J. Ehlke. 2021. Image analysis of inflorescence morphology in perennial ryegrass (Lolium perenne L.) to understand the genetics of seed shattering. Agron. Abr. p. 134885.
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https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/134885
    Last checked: 03/31/2022
    Requires: JavaScript
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