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Whitened kernel surface: A fast and reliable method for assessing Fusarium severity on cereal grains by digital picture analysis

机译:白细胞表面:通过数字图像分析评估谷粒粗糙度的快速可靠的方法

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摘要

Fusarium head blight (FHB) is a cereal disease of major importance responsible for yield losses and mycotoxin contaminations in grains. Here, we introduce a new measurement approach to quantify FHB severity on grains based on the evaluation of the whitened kernel surface (WKS) using digital image analysis. The applicability of WKS was assessed on two bread wheat and one triticale grain sample sets (265 samples). Pearson correlation coefficients between Fusarium-damaged kernels (FDK) and WKS range from r = 0.77 to r = 0.81 and from r = 0.61 to r = 0.86 for the correlation between deoxynivalenol (DON) content and WKS. This new scoring method facilitates fast and reliable assessment of the resistance to kernel infection and shows significant correlation with mycotoxin content. WKS can be automated and does not suffer from the "human factor" inherent to visual scorings. As a low-cost and fast approach, this method appears particularly attractive for breeding and genetic analysis of FHB resistance where typically large numbers of experimental lines need to be evaluated, and for which WKS is suggested as an alternative to visual FDK scorings.
机译:Fusarium Head Blight(FHB)是一种主要重要性的谷物疾病,负责谷物的产量损失和霉菌毒素污染。在这里,我们介绍了一种新的测量方法,使用数字图像分析评估白化内核表面(WKS)的评估来量化FHB严重程度。在两个面包小麦和一个小麦谷物样品组(265个样品)上评估WKS的适用性。镰刀损坏核(FDK)和WKS之间的Pearson相关系数从r = 0.77到r = 0.81,r = 0.61至r = 0.86,用于脱氧肾上腺素(Don)含量和Wks之间的相关性。这种新的评分方法有助于快速可靠地评估对核感染的抗性,并与霉菌毒素含量显着相关。 WKS可以自动化,并且不会遭受视觉评分固有的“人类因素”。作为一种低成本和快速的方法,该方法对于FHB抗性的繁殖和遗传分析特别有吸引力,在通常需要评估大量实验线的情况下,并且有哪些WKS作为视觉FDK评分的替代方案。

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