Dehiscence method: a seed-saving, quick and simple viability assessment in rice

文献类型： 外文期刊

第一作者： Xu, Ling-xiang

作者： Xu, Ling-xiang;Lin, Yi-xin;Zhou, Yuan-chang;Xu, Ling-xiang;Lin, Yi-xin;Wang, Li-hong

作者机构：

关键词： Ageing; Dehydration; Deterioration; Dormancy; Drought resistance; Endangered species; Genebank; Orthodox seed; Oryza; Pre-harvest sprout

期刊名称：PLANT METHODS （ 影响因子：4.993； 五年影响因子：5.312 ）

ISSN： 1746-4811

年卷期： 2018 年 14 卷

页码：

收录情况： SCI

摘要： Background: Seed viability monitoring is very important in ex situ germplasm preservation to detect germplasm deterioration. This requires seed-, time-and labor-saving methods with high precision to assess seed germination as viability. Although the current non-invasive, rapid, sensing methods (NRSs) are time-and labor-saving, they lack the precision and simplicity which are the virtues of traditional germination. Moreover, they consume a considerable amount of seeds to adjust sensed signals to germination percentage, which disregards the seed-saving objective. This becomes particularly severe for rare or endangered species whose seeds are already scarce. Here we propose a new method that is precise, low-invasive, simple, and quick, which involves analyzing the pattern of dehiscence (seed coat rupture), followed by embryonic protrusion. Results: Dehiscence proved simple to identify. After the trial of 20 treatments from 3 rice varieties, we recognized that dehiscence percentage at the 48th hour of germination (D(48)) correlates significantly with germination rate for tested seed lots. In addition, we found that the final germination percentage corresponded to D(48) plus 5. More than 70% of the seeds survived post-dehiscence desiccation for storage. Hydrogen peroxide (1 mM) as the solution for imbibition could further improve the survival. The method also worked quicker than tetrazolium which is honored as a fast, traditional method, in detecting less vigorous but viable seeds. Conclusion: We demonstrated the comprehensive virtues of dehiscence method in assessing rice seed: it is more precise and easier to use than NRSs and is faster and more seed-saving than traditional methods. We anticipate modifications including artificial intelligence to extend our method to increasingly diverse circumstances and species.

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