Cinthia Conforto, Ricardo Brainer Martins, Alessandro Nicoli, Alexandre Sandri Capucho, Henrique da Silva Silveira Duarte, Sami Jorge Michereff
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引用次数: 0
摘要
炭疽病是由壳针孢属(Colletotrichum orbiculare)复合菌种引起的,是全球露地黄瓜种植中的一种主要叶面病害。本研究旨在开发和验证一套标准面积图(SAD),用于估算黄瓜叶片炭疽病的严重程度。为此,研究人员提出了九个严重程度(1;3;5;10;20;30;40;50 和 60%)的标准面积图集。16 位没有植物病害评估经验的评估员对 SAD 集进行了验证。采用建议的 SAD 集后,准确度和精确度都有所提高。统计参数为偏差系数因子-Cb(无 SAD 集 = 0.891,有 SAD 集 = 0.982);相关系数-r(无 SAD 集 = 0.851,有 SAD 集 = 0.941);林氏一致相关系数-ρc(无 SAD 集 = 0.755,有 SAD 集 = 0.924)。此外,估计值也更加可靠:类内相关系数-ρ(无 SAD 集 = 0.646,有 SAD 集 = 0.887)。本文提出的 SAD 集是改进黄瓜叶片炭疽病严重程度目测评估的有用工具。
Development and validation of a standard area diagram set for assessment of anthracnose severity on cucumber leaves
Anthracnose, caused by species in the Colletotrichum orbiculare complex, is a major foliar disease in open-field cucumber farming worldwide. This study aimed to develop and validate a standard area diagram (SAD) set to estimate the severity of anthracnose on cucumber leaves. For this purpose, a SAD set with nine levels of severity (1; 3; 5; 10; 20; 30; 40; 50 and 60%) is proposed. The SAD set was validated by 16 raters with no experience in evaluating plant diseases. Both accuracy and precision improved when the proposed SAD set was employed. The statistical parameters were bias coefficient factor-Cb (no SAD set = 0.891, with SAD set = 0.982); correlation coefficient-r (no SAD set = 0.851, with SAD set = 0.941); and Lin's concordance correlation coefficient-ρc (no SAD set = 0.755, with SAD set = 0.924). In addition, estimates were more reliable: intra-class correlation coefficient-ρ (no SAD set = 0.646, with SAD set = 0.887). The SAD set proposed here is a useful tool for improving visual assessments of anthracnose severity on cucumber leaves.
期刊介绍:
Journal of Phytopathology publishes original and review articles on all scientific aspects of applied phytopathology in agricultural and horticultural crops. Preference is given to contributions improving our understanding of the biotic and abiotic determinants of plant diseases, including epidemics and damage potential, as a basis for innovative disease management, modelling and forecasting. This includes practical aspects and the development of methods for disease diagnosis as well as infection bioassays.
Studies at the population, organism, physiological, biochemical and molecular genetic level are welcome. The journal scope comprises the pathology and epidemiology of plant diseases caused by microbial pathogens, viruses and nematodes.
Accepted papers should advance our conceptual knowledge of plant diseases, rather than presenting descriptive or screening data unrelated to phytopathological mechanisms or functions. Results from unrepeated experimental conditions or data with no or inappropriate statistical processing will not be considered. Authors are encouraged to look at past issues to ensure adherence to the standards of the journal.