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A bioeconomic model of downy mildew damage on grapevine for evaluation of control strategies.

机译:葡萄霜霉病危害的生物经济模型,用于评估控制策略。

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In order to reduce pesticide use in vineyards, we propose a bioeconomic model to evaluate different fungicide treatment strategies. This model estimates the development of the downy mildew Plasmopara viticola for a given year's weather on a grapevine plot, and predicts the damage done, the yield loss, and the resulting partial gross margin, depending on the chosen protection strategy. Grapevine growth and phenology are simulated with the STICS grapevine crop model according to the year's weather; fungal components quantify downy mildew development; damage onto leaves and fruits is characterized as a percent reduction of potential leaf area and yield; the effect of fungicide treatments is simulated as a partial protection against infection; the economic result is calculated at plot level, taking into account simulated yield, local economic conditions and costs of observations and sprayings. The model parameters were estimated using three sets of experimental data from vineyards in the French wine-growing region of Bordeaux. Using these parameter values, the model was used to evaluate the following five protection strategies: 3 systematic fungicide spraying strategies with 2-, 3- or 4-week intervals, the "Mildium" adaptive strategy, which includes field observations and decision rules, and a control untreated strategy. Yield losses and the resulting partial gross margins were calculated for 23 annual weather examples for each strategy and the statistics of these strategies were compared. The adaptive strategy was found to be slightly less protective on average against downy mildew than the 2-week systematic spray strategy. However its low variability ensures sustainability in terms of grower's income, while reducing by one third the number of sprayings. The model hypotheses and simulation results are discussed, in relation to the particular economic context of the "Bordeaux" protected designation of origin with the objective of reducing pesticide use in vineyards.Digital Object Identifier http://dx.doi.org/10.1016/j.cropro.2013.05.024
机译:为了减少葡萄园中农药的使用,我们提出了一种生物经济模型来评估不同的杀菌剂处理策略。该模型根据葡萄保护区估计给定年份天气下霜霉病的葡萄毛霉病的发展,并预测所造成的损害,产量损失以及由此产生的部分毛利润。根据一年的天气情况,用STICS葡萄作物模型模拟葡萄的生长和物候。真菌成分量化霜霉病的发展;叶片和果实受到损害的特征是潜在的叶片面积和产量减少了一定百分比;模拟杀菌剂的效果可部分抵御感染。经济结果是在地块级别上计算的,其中要考虑模拟产量,当地经济条件以及观测和喷洒的成本。使用来自法国波尔多葡萄酒产区的葡萄园的三组实验数据估算了模型参数。使用这些参数值,该模型用于评估以下五种保护策略:间隔2、3或4周的3种系统性杀菌剂喷洒策略,“ Mildium”自适应策略(包括现场观察和决策规则)以及对照未处理策略。计算了每种策略的23个年度天气示例的产量损失和所得的部分毛利率,并比较了这些策略的统计数据。研究发现,与2周系统喷雾策略相比,自适应策略平均对霜霉病的保护作用稍差。然而,它的低可变性确保了种植者收入的可持续性,同时减少了三分之一的喷洒次数。针对“波尔多”受保护的原产地名称的特定经济背景,讨论了模型假设和模拟结果,目的是减少葡萄园中的农药使用。数字对象标识符http://dx.doi.org/10.1016/ j.cropro.2013.05.024

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