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Space–time variability of citrus leprosis as strategic planning for crop management

ABSTRACT BACKGROUND Citrus leprosis is the most important viral disease of citrus. Knowledge of its spatiotemporal structure is fundamental to a representative sampling plan focused on the disease control approach. Such a well‐crafted sampling design helps to reduce pesticide use in agriculture to c...

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Published in:Pest management science 2018-08, Vol.74 (8), p.1798-1803
Main Authors: Andrade, Daniel J, Lorençon, José R, Siqueira, Diego S, Novelli, Valdenice M, Bassanezi, Renato B
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Language:English
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creator Andrade, Daniel J
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description ABSTRACT BACKGROUND Citrus leprosis is the most important viral disease of citrus. Knowledge of its spatiotemporal structure is fundamental to a representative sampling plan focused on the disease control approach. Such a well‐crafted sampling design helps to reduce pesticide use in agriculture to control pests and diseases. RESULTS Despite the use of acaricides to control citrus leprosis vector (Brevipalpus spp.) populations, the disease has spread rapidly through experimental areas. Citrus leprosis has an aggregate spatial distribution, with high dependence among symptomatic plants. Temporal variation in disease incidence increased among symptomatic plants by 4% per month. CONCLUSIONS Use of acaricides alone to control the vector of leprosis is insufficient to avoid its incidence in healthy plants. Preliminary investigation into the time and space variation in the incidence of the disease is fundamental to select a sampling plan and determine effective strategies for disease management. © 2018 Society of Chemical Industry Citrus leprosis is the most important viral disease of citrus. Knowledge of its spatiotemporal structure is fundamental for a representative sampling plan focused on the disease control approach.
doi_str_mv 10.1002/ps.4877
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Knowledge of its spatiotemporal structure is fundamental to a representative sampling plan focused on the disease control approach. Such a well‐crafted sampling design helps to reduce pesticide use in agriculture to control pests and diseases. RESULTS Despite the use of acaricides to control citrus leprosis vector (Brevipalpus spp.) populations, the disease has spread rapidly through experimental areas. Citrus leprosis has an aggregate spatial distribution, with high dependence among symptomatic plants. Temporal variation in disease incidence increased among symptomatic plants by 4% per month. CONCLUSIONS Use of acaricides alone to control the vector of leprosis is insufficient to avoid its incidence in healthy plants. Preliminary investigation into the time and space variation in the incidence of the disease is fundamental to select a sampling plan and determine effective strategies for disease management. © 2018 Society of Chemical Industry Citrus leprosis is the most important viral disease of citrus. 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Knowledge of its spatiotemporal structure is fundamental to a representative sampling plan focused on the disease control approach. Such a well‐crafted sampling design helps to reduce pesticide use in agriculture to control pests and diseases. RESULTS Despite the use of acaricides to control citrus leprosis vector (Brevipalpus spp.) populations, the disease has spread rapidly through experimental areas. Citrus leprosis has an aggregate spatial distribution, with high dependence among symptomatic plants. Temporal variation in disease incidence increased among symptomatic plants by 4% per month. CONCLUSIONS Use of acaricides alone to control the vector of leprosis is insufficient to avoid its incidence in healthy plants. 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source Wiley-Blackwell Read & Publish Collection
subjects Acaricides
Agricultural management
Agrochemicals
Brevipalpus spp
Citrus leprosis virus – CiLV
Citrus sinensis
Crop management
Dependence
Disease
Disease control
epidemiology
geostatistics
Incidence
Organic chemistry
Pest control
Pesticides
Pests
Sampling
Sampling designs
Spatial distribution
Strategic management
Temporal variations
title Space–time variability of citrus leprosis as strategic planning for crop management
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