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Modeling phenology and entomosporium leaf and berry spot disease development in Amelanchier alnifolia Nutt.

机译:拟南芥(Amelanchier alnifolia Nutt)的物候学和昆虫孢子和浆果斑点病发展模型。

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摘要

The improper timing of harvest efforts and entomosporium leaf and berry spot disease, which is caused by the fungal pathogen Entomosporium mespili (D.C.) Sacc., are two important factors limiting growers from achieving optimal Amelanchier alnifolia Nutt. (saskatoon) fruit yield. In order to overcome these limitations and improve the quality and quantity of saskatoon fruit yielded, phenological and disease forecasting models based on orchard microclimate were created. Temperature, leaf wetness, and precipitation data used in the models were collected real-time using Adcon Telemetry weather stations. A heat unit model for predicting the dates of flowering, fruit harvest and the cessation of axillary vegetative shoot expansion from the date of bud break was created for saskatoon (SASK-Day) using critical temperatures for plant growth and development. When historical SASK-Day heat unit data were incorporated with actual SASK-Day heat unit data it was possible to predict the dates of flowering and fruit harvest, 9 and 57 d before they occurred in the field, respectively. A dynamic disease-forecast model was created to estimate disease pressure based on epidemiological studies regarding the relationship of disease to inoculum potential and production, inoculum release, leaf wetness duration and temperature, and host susceptibility. When compared to disease observations in the field, the model was able to account for 82% of the variation in the increase of average lesion number per leaf (LESNO) during the pre-harvest period. Regression analysis was used to create an equation (Y = 8.0 x 10-3 X + 1.01) that estimates LESNO 5 d before symptoms developed based on cumulative disease pressure. To make the dynamic disease-forecasting model useful for controlling disease in the field, control thresholds together with application and control guidelines for Topas 250E were added to the model. When tested in 2002 at an orchard near Carman, Manitoba, disease was controlled using two fungicide applications as recommended by the model. A future study should be used to establish economic thresholds when validating the model on different cultivars and in different geographic regions. With properly set economic thresholds, it is still possible to further reduce the number of fungicide spays used.
机译:由真菌病原体Enspomosporium mespili(D.C.)Sacc。引起的收割努力的不适当时机和肠孢子叶和浆果斑病是限制种植者获得最佳Amelanchier alnifolia Nutt的两个重要因素。 (萨斯卡通)水果产量。为了克服这些限制并提高萨斯卡通果实的产量和品质,建立了基于果园小气候的物候和疾病预测模型。使用Adcon Telemetry气象站实时收集模型中使用的温度,叶片湿度和降水量数据。为萨斯卡通(SASK日)使用临界温度促进植物生长和发育,创建了一个用于预测开花,果实收获和从芽破裂之日起停止腋生无性芽扩展的加热单元模型。当将历史SASK-Day热量单位数据与实际SASK-Day热量单位数据结合在一起时,有可能在田间发生开花和收获的日期分别提前9天和57天进行预测。基于流行病学研究,建立了一个动态的疾病预测模型来估计疾病压力,该研究涉及疾病与接种物潜力和产量,接种物释放,叶片潮湿持续时间和温度以及宿主易感性之间的关系。当与实地疾病观察相比较时,该模型能够解释收获前期平均每片叶片平均病斑数(LESNO)增长变化的82%。回归分析用于创建一个方程(Y = 8.0 x 10-3 X + 1.01),该方程根据累积的疾病压力在症状发作前5天估计LESNO。为了使动态疾病预测模型可用于控制现场疾病,将模型的控制阈值以及Topas 250E的应用和控制指南添加到了模型中。当在2002年在马尼托巴省卡曼附近的一个果园进行测试时,该疾病使用该模型推荐的两种杀菌剂来控制。在验证不同品种和不同地理区域的模型时,应使用未来的研究来确定经济门槛。通过适当设置经济阈值,仍然有可能进一步减少使用的杀菌剂种类。

著录项

  • 作者

    Holtslag, Quinn Allen.;

  • 作者单位

    University of Manitoba (Canada).;

  • 授予单位 University of Manitoba (Canada).;
  • 学科 Agriculture Plant Pathology.;Agriculture Agronomy.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 182 p.
  • 总页数 182
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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