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七十年小麦离体收集种子再生的历史表型数据。

Historical phenotypic data from seven decades of seed regeneration in a wheat ex situ collection.

机构信息

Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, 06466 Seeland/OT, Gatersleben, Germany.

Department of Genebank, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, 06466 Seeland/OT, Gatersleben, Germany.

出版信息

Sci Data. 2019 Jul 29;6(1):137. doi: 10.1038/s41597-019-0146-y.

Abstract

Genebanks are valuable sources of genetic diversity, which can help to cope with future problems of global food security caused by a continuously growing population, stagnating yields and climate change. However, the scarcity of phenotypic and genotypic characterization of genebank accessions severely restricts their use in plant breeding. To warrant the seed integrity of individual accessions during periodical regeneration cycles in the field phenotypic characterizations are performed. This study provides non-orthogonal historical data of 12,754 spring and winter wheat accessions characterized for flowering time, plant height, and thousand grain weight during 70 years of seed regeneration at the German genebank. Supported by historical weather observations outliers were removed following a previously described quality assessment pipeline. In this way, ready-to-use processed phenotypic data across regeneration years were generated and further validated. We encourage international and national genebanks to increase their efforts to transform into bio-digital resource centers. A first important step could consist in unlocking their historical data treasures that allows an educated choice of accessions by scientists and breeders.

摘要

基因库是遗传多样性的宝贵资源,有助于应对未来因人口持续增长、产量停滞和气候变化而导致的全球粮食安全问题。然而,基因库资源的表型和基因型特征稀缺严重限制了它们在植物育种中的应用。为了保证个体资源在定期田间再生周期中的种子完整性,需要进行表型特征描述。本研究提供了德国基因库 70 年种子再生过程中对 12754 个春小麦和冬小麦资源开花时间、株高和千粒重的非正交历史数据。通过历史气象观测支持,按照先前描述的质量评估流程,去除了异常值。通过这种方式,生成了可在再生年份使用的已处理表型数据,并进一步进行了验证。我们鼓励国际和国家基因库加大努力,将其转变为生物数字资源中心。一个重要的第一步可以是解锁其历史数据宝藏,以便科学家和培育者能够明智地选择资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba04/6662709/24c38f4e835f/41597_2019_146_Fig1_HTML.jpg

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