Progress, spread and natural transmission of Bahia bark scaling of citrus in Brazil

Abstract

AbstractProgress, spread and natural transmission of Bahia bark scaling of citrus were evaluated in a trial where 240 screenhouse‐nursed nucellar grapefruit plants –‘Clason’, ‘Little River Seedless’, ‘Red Blush’, ‘Reed’ and ‘Howell Seedless’ cvs – were planted alongside and 5 m apart from a 10‐year‐old symptomatic ‘Marsh Seedless’ grapefruit orchard. Plants were distributed in 16 rows of 15 trees, with three plants of each cultivar per row. Eight trial plants were kept in screen cages. Incidence of symptomatic plants was assessed at 3‐months intervals, for 5 years, and for further 2 years at irregular intervals. Cumulative maps of disease incidence were produced for each assessment date and used in all analyses. Temporal progress was analysed by nonlinear fitting of three disease progress models. Spread was characterised in three levels of spatial hierarchy by the following analyses: ordinary runs, binomial dispersion index, binary power law fitting, isopath mapping and nonlinear fitting of disease gradient models. The first symptomatic plant was detected 2 years after planting. In the last disease assessment, 5 years after the first, 98% of the unprotected plants were symptomatic. None of the screen‐caged trees showed any symptoms. Bahia bark scaling progress was polyetic and best described by the logistic model. Ordinary runs analysis showed little if any evidence of transmission between adjacent trees. Diseased plants showed a very aggregated pattern inside quadrats (D > 5 and b > 1.53). Isopath mapping showed that main spread was only because of the primary inoculum source. Secondary foci were also observed, but they were never dissociated from main initial disease focus. Disease gradient followed wind direction, starting near the original inoculum source and was best described by exponential model. These results support a hypothesis of Bahia bark scaling transmission by air‐borne vectors with limited dispersion ability.