Location: Plant Germplasm Introduction and Testing Research
Title: CPA: Counting Peas AutomaticallyAuthor
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Bourland, Britton |
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COYNE, CLARICE - Washington State University |
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MARASINGHA, LOCHANA - Washington State University |
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SANKARAN, SINDHUJA - Washington State University |
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SARI, HATICE - Washington State University |
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UNDRE, RENAN - Washington State University |
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Warburton, Marilyn |
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Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only Publication Acceptance Date: 9/29/2024 Publication Date: 11/11/2024 Citation: Bourland, B.M., Coyne, C.J., Marasingha, L.T., Sankaran, S., Sari, H., Undre, R., Warburton, M.L. 2024. CPA: Counting Peas Automatically. ASA-CSSA-SSSA Annual Meeting Abstracts. CSSA 11/10-11/13/24. Interpretive Summary: The plant genetic resource (PGR) collections housed in the genebanks of the world represent the genetic treasures created over millennia via natural and artificial selection. This genetic treasure can be used by plant breeders to create new cultivars and genetic tools for farmers that will address existing and future problems in agriculture. These problems are increasing at an increasing rate due to climate change. To maintain the USDA ARS National Plant Genetic Resource (NPGR) collections as living, distributable, and well characterized seeds and propagules, NPGR scientists and staff created a Strategic Plan that relies on new tools to create the information needed for efficient and effective PGR management, and for enabling requestors to select the best PGR for their research and breeding projects. The Strategic Plan offers guidelines for characterization and optimal safeguarding of all 600,000+ accessions in the 22 genebanks of the USDA ARS. Technical Abstract: The plant genetic resource (PGR) collections housed in the genebanks of the world represent the genetic treasures created over millennia via natural and artificial selection. This sequence variation can be leveraged by breeders to create new cultivars and resources (markers, models for genomic selection, information to guide gene editing) to address existing and future problems in agriculture. These problems are increasing at an increasing rate due to climate change. Deciphering the sequence variation would provide characterization information to breeders in a timely manner. To maintain the USDA ARS National Plant Genetic Resource (NPGR) collections as living, distributable, and well characterized seeds and propagules, NPGR scientists and staff created a Strategic Plan that relies on new tools to create the information needed for efficient and effective PGR management, and for enabling requestors to select the best PGR for their research and breeding projects. Machine learning, novel modeling techniques, and advanced algorithms using genomics and phenomics information will speed AI-enabled trait discovery and optimization of collection maintenance and use. The Strategic Plan offers guidelines for characterization and optimal safeguarding of all 600,000+ accessions in the 22 genebanks of the USDA ARS. |
