Open AccessMonitoring methods and spatial patterns of European canker disease in commercial orchards
Author(s) -
Rebecca E. Campbell,
S. Roy,
T. Curnow,
Monika Walter
Publication year - 2016
Publication title -
proceedings of the new zealand weed and pest control conference/new zealand plant protection/proceedings of the ... national weeds conference/proceedings of the new zealand weed control conference/proceedings of the new zealand plant protection conference
Language(s) - English
Resource type - Journals
eISSN - 0370-2804
pISSN - 0370-0968
DOI - 10.30843/nzpp.2016.69.5883
Subject(s) - orchard , canker , biology , sampling (signal processing) , incidence (geometry) , spatial distribution , sequential sampling , horticulture , statistics , mathematics , geometry , filter (signal processing) , computer science , computer vision
European canker (Neonectria ditissima) kills trees and decreases production in apple orchards To determine a level of disease control or the extent of its spread in commercial orchards efficient monitoring methods are required In this study we investigated two monitoring methods sampling a single row and systematic sampling of an orchard block The spatial pattern of disease within blocks and whether this changes over time was also investigated The accuracy of singlerow monitoring depended on the level of canker in the orchard and the patchiness of the distribution of infected trees However singlerow monitoring tracked changes over time in incidence severity and type of canker sufficiently well and was efficient The spatial patterns of disease incidence across the blocks were nonrandom but showed hotspots which did not change significantly over time