000165198 001__ 165198 000165198 005__ 20251219174251.0 000165198 0247_ $$2doi$$a10.1002/ppp3.70017 000165198 0248_ $$2sideral$$a145863 000165198 037__ $$aART-2025-145863 000165198 041__ $$aeng 000165198 100__ $$aGargiulo, Roberta 000165198 245__ $$aThe potential of seedbank digital information in plant conservation 000165198 260__ $$c2025 000165198 5060_ $$aAccess copy available to the general public$$fUnrestricted 000165198 5203_ $$aSocietal Impact StatementSeedbanks are vital for biodiversity conservation, but their potential remains underutilised due to a limited understanding of the intraspecific genetic diversity they hold. By leveraging digitised data associated with seedbank collections, such as sampling locations, number of maternal plants and seed traits, we can attempt the estimation of genetic variation and identify gaps in collections, enabling better prioritisation of species for conservation efforts. These advancements can inform policy targets like those of the Kunming‐Montreal Global Biodiversity Framework, promoting more effective conservation strategies. Digitisation and emerging machine‐learning technologies offer scalable, cost‐efficient solutions to enhance conservation knowledge, ensuring biodiversity resilience for future generations.SummarySeedbank collections hold significant untapped potential for advancing conservation science and practice, but the intraspecific genetic diversity (i.e. diversity within a species) stored in worldwide seedbank collections remains largely unknown, hindering the effective use of seeds for both informing and implementing in situ interventions. As producing genetic data is time‐consuming and expensive, other data associated with seedbank collections can greatly enhance our understanding of the genetic variation stored in seed collections when genetic data are unavailable. Information such as the location of sampling sites, estimated population size and the number of mother plants from which seeds were collected can facilitate the estimation of the genetic diversity captured in the collections. This information can also be used to estimate the sampling effort required to fill gaps in seedbank collections to better represent genetic diversity, through comparison with existing baselines from species where genetic diversity is characterised, and through simulations. Digitisation of the data associated with seedbank collections makes the approaches above practicable at scale. In addition, digital images of the seeds themselves may identify intraspecific phenotypic variation and can, therefore, be used to prioritise populations for future genetic studies.In this article, we explore the potential of digitised information made available by seedbanks for improving our understanding of the intraspecific genetic diversity preserved in collections. We describe possible improvements that might enhance the predictive power of digital information for genetic studies, and discuss the challenges and opportunities associated with these. 000165198 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 000165198 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000165198 700__ $$aHoban, Sean 000165198 700__ $$aVisscher, Anne M. 000165198 700__ $$aGómez Barreiro, Pablo 000165198 700__ $$aDayrell, Roberta L. C. 000165198 700__ $$aDhanjal-Adams, Kiran L. 000165198 700__ $$aHudson, Alice R. 000165198 700__ $$aSeal, Charlotte E. 000165198 700__ $$aKallow, Simon 000165198 700__ $$aSala, Jan 000165198 700__ $$aOliver, Lee 000165198 700__ $$aCarvey, Naomi 000165198 700__ $$aChapman, Ted 000165198 700__ $$aMattana, Efisio 000165198 700__ $$aCallow, Clare 000165198 700__ $$aCockel, Christopher 000165198 700__ $$aFay, Michael F. 000165198 700__ $$0(orcid)0000-0001-5658-8411$$aViruel, Juan$$uUniversidad de Zaragoza 000165198 700__ $$aBirchenko, Inna 000165198 700__ $$aMiles, Stephanie 000165198 700__ $$aPearce, Timothy 000165198 700__ $$aKersey, Paul 000165198 700__ $$aBreman, Elinor 000165198 700__ $$aHardwick, Kate A. 000165198 7102_ $$15011$$2063$$aUniversidad de Zaragoza$$bDpto. CC.Agrar.y Medio Natural$$cÁrea Botánica 000165198 773__ $$g(2025), [12 pp.]$$tPlants People Planet$$x2572-2611 000165198 8564_ $$s1190557$$uhttps://zaguan.unizar.es/record/165198/files/texto_completo.pdf$$yVersión publicada 000165198 8564_ $$s2027757$$uhttps://zaguan.unizar.es/record/165198/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000165198 909CO $$ooai:zaguan.unizar.es:165198$$particulos$$pdriver 000165198 951__ $$a2025-12-19-14:42:52 000165198 980__ $$aARTICLE