Fastlink to record 317153
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| Full TGIF Record # 317153 Item 1 of 1 |
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| Web URL(s): | https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/135062 Last checked: 04/01/2022 Requires: JavaScript |
| Publication Type: | Report |
| Content Type: | Abstract or Summary only |
| Author(s): | Sheltra, Matthew; Huff, David R. |
| Author Affiliation: | Sheltra: Pennsylvania State University, State College, PA; Huff: Pennsylvania State Universtiy, University Park, PA |
| Title: | Development of bioinformatic tools for poyploid turfgrass breeding |
| Section: | Turfgrass physiology, molecular biology, and genetics poster (includes student competition) Other records with the "Turfgrass physiology, molecular biology, and genetics poster (includes student competition)" Section C05 turfgrass science Other records with the "C05 turfgrass science" Section |
| Meeting Info.: | Salt Lake City, Utah: November 7-10, 2021 |
| Source: | ASA, CSSA and SSSA International Annual Meetings. 2021, p. 135062. |
| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America] |
| # of Pages: | 1 |
| Abstract/Contents: | "Advances in genomic sequencing have permitted widespread development of molecular markers that plant breeders can use to facilitate rapid advancement in their crops. At the moment, the majority of bioinformatic tools available for complex genomic analysis have been built and optimized with diploid organisms in mind, posing challenges for breeders specializing in polyploid species. Through a multi-institutional collaboration made possible by the USDA Specialty Crop Research Initiative, bioinformatic tools are being created to help improve the resources available for polyploid crops. Turfgrass is one of several areas of interest in this project, and for the turfgrass component of this work, the allotetraploid creeping bentgrass (Agrostis stolonifera) will be utilized in a genome wide association study. Cloned genotypes will be maintained under both seed production conditions and putting green height of cut, and they will be scored for agronomically important traits such as competitiveness against Poa annua, rate of spread, and seed yield. This will provide both genotypic and phenotypic data that will ultimately lead to the identification of molecular markers to expedite the improvement and utilization of creeping bentgrass for golf courses. Furthermore, the data provided by this study will be used in the development and optimization of the bioinformatic tools for tetraploids. As part of this project, the tools developed will be accessible to the public, and educational workshops will be provided annually to assist any interested individuals in applying these tools to polyploid crops of their choice in the hopes of facilitating advancements in all economically significant crops." |
| Language: | English |
| References: | 0 |
| Note: | This item is an abstract only! "Poster #1256" "337" |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Sheltra, M., and D. R. Huff. 2021. Development of bioinformatic tools for poyploid turfgrass breeding. Agron. Abr. p. 135062. |
| Fastlink to access this record outside TGIF: | http://tic.msu.edu/tgif/flink/RECNO/317153 |
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| Web URL(s) : | https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/135062 Last checked: 04/01/2022 Requires: JavaScript |
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