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Image-based quantification of Fusarium wilt severity in banana

Orr, R., Pattison, A., East, D., Warman, N., O’Neill, W., Czislowski, E. and Nelson, P. N. (2019) Image-based quantification of Fusarium wilt severity in banana. Australasian Plant Disease Notes, 14 (1). p. 14. ISSN 1833-928X

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Article Link(s): https://doi.org/10.1007/s13314-019-0344-7

Publisher URL: https://link.springer.com/article/10.1007/s13314-019-0344-7

Abstract

The severity of Fusarium wilt of bananas has long been classified based on visual assessment of necrosis in rhizome or pseudostem cross-sections. The improved method proposed here uses digital image analysis to quantify the proportion of rhizome tissue that is necrotic. It agrees well with visual classification, but provides greater reproducibility, precision and statistical power.

Item Type:Article
Business groups:Horticulture and Forestry Science
Keywords:Fusarium oxysporum f. sp. cubense Panama disease Disease severity Image analysis Method
Subjects:Agriculture > Agriculture (General) > Soils. Soil science > Soil chemistry
Agriculture > Agriculture (General) > Methods and systems of culture. Cropping systems
Plant culture > Food crops
Plant culture > Fruit and fruit culture > Culture of individual fruits or types of fruit > Bananas
Plant pests and diseases > Pest control and treatment of diseases. Plant protection > Inspection. Quarantine
Deposited On:04 Jun 2019 04:22
Last Modified:04 Jun 2019 04:22

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