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A novel noninvasive procedure for high?¢????throughput screening of major seed traits

机译:高通量筛选主要种子性状的新型无创方法

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The large numbers of samples processed in breeding and biodiversity programmes require the development of efficient methods for the nondestructive evaluation of basic seed properties. Near?¢????infrared spectroscopy is the state?¢????of?¢????the?¢????art solution for this analytical demand, but it also has some limitations. Here, we present a novel, rapid, accurate procedure based on time domain?¢????nuclear magnetic resonance (TD?¢????NMR), designed to simultaneously quantify a number of basic seed traits without any seed destruction. Using a low?¢????field, benchtop 1 H?¢????NMR instrument, the procedure gives a high?¢????accuracy measurement of oil content ( R 2 ????=????0.98), carbohydrate content ( R 2 ????=????0.99), water content ( R 2 ????=????0.98) and both fresh and dry weight of seeds/grains ( R 2 ????=????0.99). The method requires a minimum of ~20????mg biomass per sample and thus enables to screen individual, intact seeds. When combined with an automated sample delivery system, a throughput of ~1400 samples per day is achievable. The procedure has been trialled as a proof of concept on cereal grains (collection of ~3000 accessions of Avena spp. curated at the IPK genebank). A mathematical multitrait selection approach has been designed to simplify the selection of outlying (most contrasting) accessions. To provide deeper insights into storage oil topology, some oat accessions were further analysed by three?¢????dimensional seed modelling and lipid imaging. We conclude that the novel TD?¢????NMR?¢????based screening tool opens perspectives for breeding and plant biology in general.
机译:在育种和生物多样性计划中处理的大量样品需要开发用于基本种子特性无损评估的有效方法。近红外光谱是这种分析需求的最新解决方案,但是它也有一些局限性。在这里,我们提出了一种基于时域核磁共振(TD核磁共振)的新颖,快速,准确的程序,该程序旨在同时量化许多基本种子性状而不会破坏种子。使用低磁场的台式1 H 2 NMR仪器,该程序可以得到很高的含油量准确度测量值(R 2 = (0.98),碳水化合物含量(R 2 = 0.99),水含量(R 2 = 0.98)和种子/谷物的干重和干重(R 2)。 ???? = ???? 0.99)。该方法每个样品至少需要约20mg的生物量,因此可以筛选完整的单个种子。当与自动样品输送系统结合使用时,每天可获得约​​1400个样品的通量。该程序已作为谷物的概念验证试验(在IPK种质库中收集了大约3000种Avena spp。的保藏)。设计了一种数学多特征选择方法,以简化对外围(最相反)种质的选择。为了提供对贮藏油拓扑的更深入的了解,通过三维种子建模和脂质成像对一些燕麦品种进行了进一步分析。我们得出的结论是,基于TD-NMR的新型筛选工具通常为育种和植物生物学开辟了前景。

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