Spolti Pierri, Shah Denis A, Fernandes José Maurício C, Bergstrom Gary C, Del Ponte Emerson M
Departamento de Fitossanidade, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS 91540000.
Department of Plant Pathology, Kansas State University, Manhattan, KS 66506.
Plant Dis. 2015 Oct;99(10):1360-1366. doi: 10.1094/PDIS-09-14-0944-RE. Epub 2015 Aug 7.
The first large-scale survey of Fusarium head blight (FHB) in commercial wheat fields in southern Brazil was conducted over three years (2009 to 2011). The objectives were to: (i) evaluate whether increased FHB risk is associated with within-field maize residue; (ii) determine the spatial pattern of FHB incidence; and (iii) quantify the relationship between FHB incidence and severity. FHB was assessed in a total of 160 fields between early milk and dough. Incidence ranged from 1.0 to 89.9% (median = 25%) and severity from 0.02 to 18.6% (median = 1.3%). FHB risk was neither lower nor higher in wheat following maize than in wheat following soybean. Only 18% of fields were classified as having aggregated patterns of FHB-symptomatic spikes. A binary power law description of the variances was consistent with an overall random pattern of the disease. These results conform with the hypothesis that FHB epidemics in southern Brazil are driven by sufficient atmospherically-transported inoculum from regional sources. The incidence-severity relationship was coherent across growing season, growth stage, and previous crop; one common fitted curve described the relationship across all observations. Estimating severity from incidence may be useful in reducing the workload in epidemiological surveys.
在巴西南部的商品小麦田中,对小麦赤霉病(FHB)进行了为期三年(2009年至2011年)的首次大规模调查。其目的是:(i)评估小麦赤霉病风险增加是否与田间玉米残茬有关;(ii)确定小麦赤霉病发病率的空间格局;(iii)量化小麦赤霉病发病率与病情严重程度之间的关系。在乳熟初期至面团期之间,共对160块田地进行了小麦赤霉病评估。发病率从1.0%至89.9%(中位数 = 25%),病情严重程度从0.02%至18.6%(中位数 = 1.3%)。种植玉米后的小麦田中的小麦赤霉病风险,并不低于或高于种植大豆后的小麦田。只有18%的田地被归类为具有小麦赤霉病症状穗的聚集模式。对方差的二元幂律描述与该病的总体随机模式一致。这些结果符合以下假设:巴西南部的小麦赤霉病流行是由来自区域来源的足够的大气传播接种体驱动的。发病率与病情严重程度之间的关系在整个生长季节、生长阶段和前茬作物中都是一致的;一条共同的拟合曲线描述了所有观测值之间的关系。根据发病率估计病情严重程度,可能有助于减少流行病学调查的工作量。