Department of Plant Pathology and Microbiology, Iowa State University, Ames, IA 50011.
Department of Statistics, Iowa State University, Ames, IA 50011.
Plant Dis. 2022 Sep;106(9):2392-2402. doi: 10.1094/PDIS-07-21-1551-RE. Epub 2022 Aug 10.
Sudden death syndrome (SDS), caused by , causes substantial yield losses in soybean. However, relationships between soybean yield and components of disease progress, including time of disease onset, are poorly understood. Individual soybean plants (2018) and quadrats (2016 to 2018) were monitored in commercial fields and experimental plots in Iowa to quantify the impact of SDS foliar symptom onset on final SDS intensity, soybean yield components, and yield. The date when SDS foliar symptoms were first detected (onset time) and progress of SDS incidence and severity were recorded weekly. Individual soybean plants and quadrats were harvested at the end of each season. Beta-regression showed that date of SDS onset had a consistent and stable effect on final disease intensity both at individual plant and quadrat levels. The slope of the relationship between date of SDS onset and final SDS severity was common across all field sites and years. Weighted linear regression revealed that SDS onset explained 60 to 83% of the variation in number of pods, number of seeds, and total seed weight in individual plants, and 94 to 97% of the variation in seed yield in quadrats. Soybean yield damage functions (slopes) indicated that for each day SDS onset was delayed, soybean yield increased by 30.5 to 31.3 kg/ha. This new quantitative information improves understanding of the impact of SDS on final disease intensity and soybean yield. Further experiments are needed to determine how this relationship is affected by site-specific factors.
猝倒病(SDS)由 引起,导致大豆产量大幅下降。然而,大豆产量与疾病进展的各个组成部分之间的关系,包括疾病开始的时间,人们知之甚少。2018 年在爱荷华州的商业田和实验田中监测了单个大豆植株和样方(2016 年至 2018 年),以量化 SDS 叶片症状出现对最终 SDS 强度、大豆产量组成和产量的影响。首次检测到 SDS 叶片症状的日期(发病时间)以及 SDS 发病率和严重程度的进展每周记录一次。每个季节结束时,单独收获大豆植株和样方。β回归表明,在个体植株和样方水平上,SDS 发病日期对最终疾病强度的影响具有一致性和稳定性。SDS 发病日期与最终 SDS 严重程度之间的关系斜率在所有田间地点和年份都相同。加权线性回归表明,SDS 发病时间解释了个体植株中豆荚数、种子数和总种子重量变化的 60%至 83%,以及样方中种子产量变化的 94%至 97%。大豆产量损失函数(斜率)表明,SDS 发病时间每延迟一天,大豆产量增加 30.5 至 31.3kg/ha。这些新的定量信息提高了对 SDS 对最终疾病强度和大豆产量影响的理解。需要进一步的实验来确定这种关系如何受到特定地点因素的影响。