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香蕉枯萎病的发病率、空间分布模式及时间进程

Incidence, Spatial Pattern and Temporal Progress of Fusarium Wilt of Bananas.

作者信息

Heck Daniel W, Dita Miguel, Ponte Emerson M Del, Mizubuti Eduardo S G

机构信息

Departmento de Fitopatologia, Universidade Federal de Viçosa, Viçosa 36570-900, Brazil.

Bioversity International, Cali 763537, Colombia.

出版信息

J Fungi (Basel). 2021 Aug 8;7(8):646. doi: 10.3390/jof7080646.

Abstract

The effective management of Fusarium wilt of bananas (FWB) depends on the knowledge of the disease dynamics in time and space. The objectives of this work were: to estimate disease intensity and impact, and to investigate the spatial and temporal dynamics of FWB. Fields planted with Silk ( = 10), Pome ( = 17), or Cavendish ( = 3) banana subgroups were surveyed in Brazil, totaling 95 ha. In each field, all plants were visually assessed, and diseased plants were georeferenced. The incidence of FWB and the impact of the disease on the yield on a regional scale were estimated. Spatial patterns were analyzed using quadrat- and distance-based methods. FWB incidence ranged from 0.09% to 41.42%, being higher in Silk fields (median = 14.26%). Impacts of epidemics on yield ranged from 18.4 to 8192.5 kg ha year, with an average of 1856.7 kg ha year. The higher economic impact of the disease was observed on Silk cultivar with an average loss of USD 1974.2 ha year. Overall, estimated losses increased on average by USD 109.8 ha year at each 1% of incidence. Aggregation of FWB was detected by all analytical methods in 13 fields (1 of Cavendish, 11 of Pome, and 1 of Silk). In the other 17 fields, at least one analytical method did not reject the null hypothesis of randomness. One field (5 ha), composed of six plots, was selected for spatial and temporal studies during two years with bi-monthly assessments. A sigmoidal curve represented the FWB progress and the Gompertz model best-fitted disease progress. The level of aggregation varied over time, and evidence of secondary infection to neighboring and distant plants was detected. FWB is a widespread problem in Brazil and yield losses can be of high magnitude. Epidemiology-based management strategies can now be better established.

摘要

香蕉枯萎病(FWB)的有效管理取决于对该病害在时间和空间上动态变化的了解。本研究的目的是:估计病害强度和影响,并调查香蕉枯萎病的时空动态。在巴西对种植有丝蕉(= 10)、粉蕉(= 17)或卡文迪什蕉(= 3)亚组的田地进行了调查,总面积达95公顷。在每个田块中,对所有植株进行了目视评估,并对患病植株进行了地理定位。估计了香蕉枯萎病在区域尺度上的发病率及其对产量的影响。使用基于样方和距离的方法分析了空间格局。香蕉枯萎病的发病率在0.09%至41.42%之间,在丝蕉田块中发病率更高(中位数 = 14.26%)。疫情对产量的影响在18.4至8192.5千克/公顷·年之间,平均为1856.7千克/公顷·年。在丝蕉品种上观察到该病害具有更高的经济影响,平均损失为1974.2美元/公顷·年。总体而言,发病率每增加1%,估计损失平均每年增加109.8美元/公顷。通过所有分析方法在13个田块(1个卡文迪什蕉田块、11个粉蕉田块和1个丝蕉田块)中检测到香蕉枯萎病的聚集现象。在其他17个田块中,至少有一种分析方法没有拒绝随机性的零假设。选择了一个由六个小区组成的5公顷田块,在两年内每两个月进行一次评估,进行时空研究。一条S形曲线代表了香蕉枯萎病的病情发展,Gompertz模型最能拟合病害发展情况。聚集水平随时间变化,并且检测到了对邻近和远处植株二次感染的证据。香蕉枯萎病在巴西是一个普遍存在的问题,产量损失可能很大。现在可以更好地制定基于流行病学的管理策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/455d/8399182/4a3454ae48a8/jof-07-00646-g001.jpg

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