Optimizing the accession-level quantity of seeds to put into storage to minimize seed (gene)bank regeneration or re-collection

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This preprint studies how to optimize the number of seeds stored per accession in seed (gene)banks to reduce the need for regeneration or re-collection, given constraints such as expected time above viability thresholds, anticipated rates of distribution and viability testing, and the requirement for a regeneration reserve. The authors formulate an adjustable equation intended to support different operational scenarios, including decisions for wild species conservation seed banks where seed quantities are limited. They note that for crop genebanks, increasing stored seed quantities could reduce genetic drift from frequent regeneration cycles but would entail implications for regeneration plant numbers and storage facility capacity. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Seed (gene)banking is an effective way to conserve cultivated and wild plant diversity. However, long-term funding is not always consistently sufficient, and there is need to both strengthen the effectiveness of genebank operations and maximize cost-efficiency. One way to control the cost of maintaining a germplasm collection is to optimize the quantity of seeds per accession that is placed into storage, depending on the expected length of time a seed lot will remain above the viability threshold, expected rates of use for distribution and viability testing, and on the requirement to ensure a reserve for regeneration/re-collection. Here, we express this as an equation which can be adjusted to different scenarios, including to inform decisions about use of accessions of wild species where the number of seeds available is limited, a common scenario for wild species conservation seed banks. For many crop genebanks, given the expected longevity of seeds, it would be worthwhile to increase the number of seeds produced and processed for storage. This would also help to diminish the risk of genetic drift due to frequent cycles of regeneration but would have implications in terms of how accessions are regenerated, in particular, how many plants are used for regeneration and the size of storage facilities. The equation we present can also be rearranged and used to plan how to allocate seeds for testing and use when the number of seeds available is limited; this may have particular relevance for species conservation seed banks.
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Hay, Katherine J. Baum, Olaniyi Oyatomi, Dustin Wolkis This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4423771/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Seed (gene)banking is an effective way to conserve cultivated and wild plant diversity. However, long-term funding is not always consistently sufficient, and there is need to both strengthen the effectiveness of genebank operations and maximize cost-efficiency. One way to control the cost of maintaining a germplasm collection is to optimize the quantity of seeds per accession that is placed into storage, depending on the expected length of time a seed lot will remain above the viability threshold, expected rates of use for distribution and viability testing, and on the requirement to ensure a reserve for regeneration/re-collection. Here, we express this as an equation which can be adjusted to different scenarios, including to inform decisions about use of accessions of wild species where the number of seeds available is limited, a common scenario for wild species conservation seed banks. For many crop genebanks, given the expected longevity of seeds, it would be worthwhile to increase the number of seeds produced and processed for storage. This would also help to diminish the risk of genetic drift due to frequent cycles of regeneration but would have implications in terms of how accessions are regenerated, in particular, how many plants are used for regeneration and the size of storage facilities. The equation we present can also be rearranged and used to plan how to allocate seeds for testing and use when the number of seeds available is limited; this may have particular relevance for species conservation seed banks. Genebank management regeneration seed bank seed conservation seed multiplication seed storage Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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