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A set of standard area diagrams to assess white mold severity on the leaflets of common beans

机译:一套标准区域图,以评估普通豆类传单上的白色模具严重程度

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The fungus Sclerotinia scierotiorwn is the major pathogen affecting common beans yield worldwide and an adequate disease quantification is demanded in some trials. However, a set of standard area diagrams (SADs) to aid visual assessment of severity of white mold (SWM) is lacking. This study developed SADs consisting of eight color images of diseased leaflets with severity values that ranged from 0.4 to 53.7%. Twenty raters [10 experienced (ER) and 10 inexperienced (IR)] validated the SADs by assessing the same set of 50 images twice, the first without SADs and the second using it as an aid. The SADs significantly improved both accuracy and precision for IR as evidenced by increases from 0.86 to 0.98 in the coefficients of bias (C-b) from 0.93 to 0.98 in correlation coefficient (r) and from 0.86 to 0.96 in overall agreement [Lin's concordance correlation coefficients (rho(c))] without and with SADs, respectively, whereas for ER only precision (r) was improved by SADs. The SWM estimates were also more reliable because inter-rater reliability (coefficient of determination, R-2) was significantly increased for both ER and IR by using SADs. Therefore, the SADs presented is thought to be a valuable tool to provide accurate, precise and reliable estimates of the SWM on common bean leaflets in epidemiological studies, evaluation of disease control methods, assessment of aggressiveness of pathogen isolates, disease resistance and other types of surveys regarding the common beans-S. sclerotiorum interaction.
机译:真菌Sclerotinia Scierotwn是影响全球常见豆产量的主要病原体,在某些试验中需要充分的疾病量化。然而,缺乏一组标准区域图(SADS)以帮助视觉评估白模(SWM)的严重程度。本研究开发出于八种彩色图像的SADS,具有严重程度值,范围为0.4至53.7%。二十个评分器[10经历过(ER)和10缺乏经验(IR)]通过评估相同的50张图片两次,首先没有悲伤,第二种使用它作为辅助,验证了SADS。 SADS显着提高了IR的精度和精度,通过从0.93至0.98的相关系数(R)中的0.86至0.98增加到0.86至0.98的增加,总体协议中的0.86至0.96增加[LIN的一致性系数( rho(c))]没有和悲伤,而悲伤只有精确(r)的精确度(r)。 SWM估计也更加可靠,因为使用SADS,ER和IR的帧间性可靠性(测定系数R-2)显着增加。因此,所提出的悲伤被认为是一种有价值的工具,可以提供对流行病学研究中的常见豆叶的SWM准确,精确和可靠的估计,评估疾病控制方法,评估病原体分离株,疾病性和其他类型的侵袭性常见豆类的调查。硬化器互动。

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