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首页> 外文会议>Autonomous air and ground sensing systems for agricultural optimization and phenotyping II >Hyperspectral imaging to identify salt-tolerant wheat lines
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Hyperspectral imaging to identify salt-tolerant wheat lines

机译：高光谱成像识别耐盐小麦品系

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In order to address the worldwide growing demand for food, agriculture is facing certain challenges and limitations. One of the important threats limiting crop productivity is salinity. Identifying salt tolerate varieties is crucial to mitigate the negative effects of this abiotic stress in agricultural production systems. Traditional measurement methods of this stress, such as biomass retention, are labor intensive, environmentally influenced, and often poorly correlated to salinity stress alone. In this study, hyperspectral imaging, as a non-destructive and rapid method, was utilized to expedite the process of identifying relatively the most salt tolerant line among four wheat lines including Triticum aestivum var. Kharchia, T. aestivum var. Chinese Spring, (Ae. columnaris) T. aestivum var. Chinese Spring, and (Ae. speltoides) T. aestivum var. Chinese Spring. To examine the possibility of early detection of a salt tolerant line, image acquisition was started one day after stress induction and continued on three, seven, and 12 days after adding salt. Simplex volume maximization (SiVM) method was deployed to detect superior wheat lines in response to salt stress. The results of analyzing images taken as soon as one day after salt induction revealed that Kharchia and (columnaris)Chinese Spring are the most tolerant wheat lines, while (speltoides)Chinese Spring was a moderately susceptible, and Chinese Spring was a relatively susceptible line to salt stress. These results were confirmed with the measuring biomass performed several weeks later.
机译：为了满足全球对食品日益增长的需求，农业面临着某些挑战和局限。盐分是限制作物生产力的重要威胁之一。鉴定耐盐品种对于减轻这种非生物胁迫在农业生产系统中的负面影响至关重要。这种压力的传统测量方法（例如生物量滞留）需要大量劳动，受环境影响，并且通常与盐分应力之间的关联性很差。在这项研究中，利用高光谱成像作为一种非破坏性快速方法，可加快鉴定包括普通小麦在内的4个小麦品系中相对耐盐性最高的品系的过程。 Kharchia，T. aestivum var。中国春（Ae。columnaris）T. aestivum var。中国春和（Ae。speltoides）小麦中国春天。为了检查尽早发现耐盐品系的可能性，在应力诱导后的一天开始图像采集，并在添加盐后的三，七和十二天继续进行图像采集。采用单纯形体积最大化（SiVM）方法来检测优质小麦品系，以应对盐胁迫。盐诱导后第一天拍摄的图像的分析结果表明，Kharchia和（columnaris）中国春是最耐受的小麦品系，而（speltoides）中国春是中度敏感品种，而中国春是相对易感品种。盐胁迫。几周后进行的生物量测量证实了这些结果。

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