Hay Fiona R, Baum Née Whitehouse Katherine J, Oyatomi Olaniyi, Wolkis Dustin
Department of Agroecology, Aarhus University, Forsøgsvej 1, 4200 Slagelse, Denmark.
Australian Grains Genebank, Agriculture Victoria Research Division, Department of Energy, Environment and Climate Action, Private Bag 260, Horsham, VIC, 3401, Australia.
Conserv Physiol. 2025 Feb 23;13(1):coaf011. doi: 10.1093/conphys/coaf011. eCollection 2025.
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 a 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. Here, we express this as an equation, which can be applied to cultivated species and adjusted to different scenarios, but also 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.
种子(基因)库是保护栽培植物和野生植物多样性的有效途径。然而,长期资金并不总是持续充足,因此需要提高基因库运作的效率并实现成本效益最大化。控制种质资源库维护成本的一种方法是根据种子批保持在活力阈值以上的预期时间、预期的分发和活力测试使用速率以及确保储备的要求,优化每份种质入库储存的种子数量。在此,我们将其表示为一个方程式,该方程式可应用于栽培物种,并可根据不同情况进行调整,同时也有助于在可获得种子数量有限的情况下(这是野生植物保护种子库的常见情况),就野生植物种质的使用做出决策。对于许多作物基因库而言,考虑到种子的预期寿命,增加用于储存的种子生产和加工数量是值得的。这也有助于降低因频繁的更新周期导致遗传漂变的风险,但这会对种质更新方式产生影响,特别是用于更新的植株数量以及储存设施的规模。我们提出的方程式也可以重新排列,用于在可获得种子数量有限时规划如何分配种子用于测试和使用。这对于物种保护种子库可能具有特别重要的意义。