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A damage function for stem rust of perennial ryegrass seed crops

机译:多年生黑麦草种子作物茎锈病的危害功能

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ABSTRACT Observations of naturally occurring stem rust epidemics and seed yields in perennial ryegrass were taken in 19 field experiments conducted over the course of 9 years. Epidemic severity differed among years and also among experimental treatments (fungicide regimes) within years. In each experiment, attainable yield was represented by the nondiseased treatment, and yields of other treatments were expressed as relative yield (a proportion of the attainable yield). Yield loss (difference between attainable and actual yield) in the nonprotected treatments was 0 to 98% due to yearly differences in epidemic conditions. Fungicides were effective in reducing stem rust injury and damage when properly timed. Disease severity in the upper canopy was estimated at approximately weekly intervals and converted to proportion of the plant area diseased. The complementary value, proportion of area healthy, and its integral over time, healthy area duration (HAD), were calculated. Regression analyses were conducted using various phenological time intervals of HAD as the independent variable. The best intervals of HAD for predicting relative yield were centered on the midpoint time between anthesis and harvest. The regression equation (r(2) = 0.89) for relative yield as a function of HAD during the 3-week interval was selected and rearranged to produce a quadratic damage function. This damage function estimates yield loss at 5, 22, and 42% for critical-interval diseased proportions of 1, 5, and 10%, respectively. Yield data collected from field experiments not used in model development correlated well (r(2) = 0.9) with yields predicted by the damage function from their observed disease severity.
机译:摘要多年生黑麦草中自然发生的茎锈病流行和种子产量的观察是在9年的过程中进行的19个田间试验中进行的。流行的严重程度每年之间以及几年内的实验治疗方法(杀菌剂方案)之间也有所不同。在每个实验中,未处理代表可达到的产量,其他处理的产量表示为相对产量(可达到产量的比例)。由于流行病状况的年度差异,在非保护性处理中,产量损失(可达到的产量与实际产量之间的差异)为0%至98%。适当的时机,杀菌剂可有效减少茎锈病的伤害和损害。大约每隔一周就估算一次上冠层的病害严重程度,并转换为患病植物面积的比例。计算了补充值,健康区域的比例及其随时间的积分,健康区域持续时间(HAD)。使用HAD的各种物候时间间隔作为自变量进行回归分析。 HAD预测相对产量的最佳间隔以花期和收获之间的中点时间为中心。选择在3周间隔内相对产量作为HAD函数的回归方程(r(2)= 0.89),并将其重新排列以产生二次损伤函数。对于临界间隔患病比例分别为1%,5%和10%,此损害函数估计产量损失分别为5%,22和42%。从未用于模型开发的田间试验收集的产量数据与(r(2)= 0.9)与其通过观察到的疾病严重程度的破坏函数预测的产量具有良好的相关性。

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