首页> 外文期刊>Agrociencia >Temporal analysis of white rot (Sclerotium cepivorurum Berk.) in onion (Allium cepa L.) under three pathogen inoculum densities.
【24h】

Temporal analysis of white rot (Sclerotium cepivorurum Berk.) in onion (Allium cepa L.) under three pathogen inoculum densities.

机译:在三种病原菌接种密度下洋葱(Allium cepa L.)中白腐病(Sclerotium cepivorurum Berk。)的时间分析。

获取原文
获取原文并翻译 | 示例
           

摘要

Temporal behavior of white rot disease, caused by the fungus Sclerotium cepivorum, was assessed on three onion plots, located at Rancho Agua Nueva, municipality of Juventino Rosas, Guanajuato, Mexico. The plots had different soil inoculum density (ID) of the pathogen: 0.021, 0.052, and 0.44 sclerotia g-1 soil, classified as low, medium, and high. The first plants with symptoms were observed 30 d after transplanting (dat), and the last diseased plants were recorded 160 dat. At this time, accumulated disease incidence was 51.93, 67.75, and 82.9%, corresponding to low, medium, and high ID. The relationship between disease progress curves and crop phenology showed that at the highest soil ID, maximum disease incidence (ymax) occurs at the earliest phenology stages. Temporal progress of white rot at low and medium ID (0.021 and 0.052 sclerotia g-1 soil) was described by Gompertz growth model, while high ID (0.44 sclerotia g-1 soil) was described by the monomolecular model. The comparison of epidemics was performed taking into account the growth rates homologized to the Gompertz model (Rho) and by the area under the disease progress curve (AUDPC) showing significant differences (p<=0.01). Initial ID of S. cepivorum in soil determines important epidemiological characteristics like disease increase rate (r), form of disease progress curve, phenological stage of maximum incidence (ymax), and final disease incidence (yf), useful for understanding and predicting disease development in field and taking decisions on disease management.
机译:在位于墨西哥瓜纳华托州尤文蒂诺·罗萨斯市的兰乔·阿瓜·努埃瓦(Rancho Agua Nueva)的三个洋葱田上,评估了由菌核盘菌引起的白腐病的时间行为。该地块具有不同的病原体土壤接种物密度(ID):0.021、0.052和0.44菌核g-1土壤,分为低,中和高。移植后30 d(dat)观察到第一批有症状的植物,最后患病的植株记录为160 dat。此时,累积疾病发病率为51.93、67.75和82.9%,分别对应于低,中和高ID。疾病进程曲线与作物物候之间的关系表明,在最高土壤ID的情况下,最大的病害发生率(ymax)出现在物候最早的阶段。用Gompertz生长模型描述了中低ID(0.021和0.052菌核g-1土壤)下白腐病的时间进程,而通过单分子模型描述了高ID(0.44菌核g-1土壤)白腐病的时间进程。流行病的比较是考虑到与Gompertz模型(Rho)同源的增长率和疾病进展曲线下的面积(AUDPC),显示出显着差异(p <= 0.01)。土壤中的链霉菌的初始ID决定了重要的流行病学特征,例如疾病增长率(r),疾病进展曲线的形式,最大发生率的物候阶段(ymax)和最终疾病发生率(yf),有助于理解和预测疾病的发展在现场并就疾病管理做出决策。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号