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American Phytopathological Society, Plant Disease, 7(98), p. 929-936, 2014

DOI: 10.1094/pdis-10-13-1021-re

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Incidence and Severity of Cavity Spot of Carrot as Affected by Pigmentation, Temperature, and Rainfall

Journal article published in 2014 by C. Saude, P. W. Simon, M. R. McDonald ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Field trials to determine the effect of carrot pigmentation and weather parameters on cavity spot (CS) of carrot were conducted in the Holland/Bradford Marsh region of Ontario between 2002 and 2009. In all, 23 colored carrot cultivars from the United States Department of Agriculture (USDA) Agricultural Research Service breeding program at the University of Wisconsin (n = 5) and commercial seed companies (n = 18) were seeded in organic soil (pH 6 to 7, 45 to 75% organic matter) in late May to early June and harvested in late October or early November. Carrot roots were assessed for CS severity midseason and postharvest. Evaluations postharvest indicated that the purple pigmented carrot from breeding line 'USDA 106-3' and cultivars 'Purple Rain' and 'Purple Haze' consistently had low CS severity. The orange-pigmented 'USDA 101-23', 'Cellobunch', 'YaYa', and 'Envy' had moderate CS; and the red-pigmented carrot breeding line 'USDA 104-3' and cultivars 'Atomic Red', 'Proline Red', 'Dragon', and an unnamed line from India had high CS. Differences In CS severity in carrot cultivars between evaluations at midseason and postharvest suggest that some carrot cultivars are more susceptible to Pythium spp. inoculum in soil (alloinfection) and others to secondary infection (autoinfection) that can be attributed to the Pythium sp. involved in CS. CS severity was positively correlated with total rainfall 2 and 3 months after seeding, and was negatively correlated with number of days with air temperature >= 30 degrees C 3 and 4 months after seeding. Soil temperature and total rainfall were the best predictors of CS incidence and severity. These results could allow a forecast of disease incidence and severity at harvest.