Early detection of black Sigatoka in banana leaves using hyperspectral images [PDF]
Applications in Plant Sciences, 2020 Premise Black Sigatoka is one of the most severe banana (Musa spp.) diseases worldwide, but no methods for the rapid early detection of this disease have been reported.
Jorge Juf Ugarte Fajardo +2 more
exaly +3 more sources
Effective Methods Based on Distinct Learning Principles for the Analysis of Hyperspectral Images to Detect Black Sigatoka Disease [PDF]
Plants, 2022 Current chemical methods used to control plant diseases cause a negative impact on the environment and increase production costs. Accurate and early detection is vital for designing effective protection strategies for crops.
Jorge Ugarte Fajardo +3 more
doaj +2 more sources
Genetic Characteristics and Metabolic Interactions between Pseudocercospora fijiensis and Banana: Progress toward Controlling Black Sigatoka [PDF]
Plants, 2022 The international importance of banana and severity of black Sigatoka disease have led to extensive investigations into the genetic characteristics and metabolic interactions between the Dothideomycete Pseudocercospora fijiensis and its banana host.
Roslyn D. Noar +2 more
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Gene Expression, Histology and Histochemistry in the Interaction between Musa sp. and Pseudocercospora fijiensis [PDF]
Plants, 2022 Bananas are the main fruits responsible for feeding more than 500 million people in tropical and subtropical countries. Black Sigatoka, caused by the fungus Pseudocercospora fijiensis, is one of the most destructive disease for the crop.
Julianna Matos da Silva Soares +7 more
doaj +2 more sources
Early Detection of the Fungal Banana Black Sigatoka Pathogen Pseudocercospora fijiensis by an SPR Immunosensor Method [PDF]
Sensors, 2019 Black Sigatoka is a disease that occurs in banana plantations worldwide. This disease is caused by the hemibiotrophic fungus Pseudocercospora fijiensis, whose infection results in a significant reduction in both product quality and yield.
Donato Luna-Moreno +6 more
doaj +2 more sources
Banana Leaves Imagery Dataset [PDF]
Scientific DataIn this work, we present a dataset of banana leaf imagery, both with and without diseases. The dataset consists of 11,767 images, categorized as follows: 3,339 healthy images, 3,496 images of leaves affected by Black Sigatoka and 4,932 images of leaves ...
Neema Mduma, Christian Elinisa
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Resistance to Triazoles in Populations of Mycosphaerella fijiensis and M. musicola from the Sigatoka Disease Complex from Commercial Banana Plantations in Minas Gerais and São Paulo, Brazil [PDF]
MicroorganismsThe sterol demethylation inhibitors (DMIs) are among the most widely used fungicides for controlling black Sigatoka (Mycosphaerella fijiensis) and yellow Sigatoka (Mycosphaerella musicola) in banana plantations in Brazil.
Abimael Gomes da Silva +11 more
doaj +2 more sources
Expression of Genes Involved in Banana (Musa spp.) Response to Black Sigatoka [PDF]
Current Issues in Molecular BiologyThis work aimed to evaluate the relative gene expression of the candidate genes psI, psII, isr, utp, and prk involved in the defense response to Black Sigatoka in banana cultivars Calcutta-4, Krasan Saichon, Grand Nain, and Akondro Mainty, by a ...
Sávio Luiz Pereira Nunes +9 more
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PSFD-Musa: A dataset of banana plant, stem, fruit, leaf, and disease [PDF]
Data in Brief, 2022 In recent times, the classification and identification of different fruits and food crops have become a necessity in the field of agricultural science; for sustainable growth.
Epsita Medhi, Nabamita Deb
doaj +2 more sources
PLoS Genetics, 2016 The Sigatoka disease complex, caused by the closely-related Dothideomycete fungi Pseudocercospora musae (yellow sigatoka), Pseudocercospora eumusae (eumusae leaf spot), and Pseudocercospora fijiensis (black sigatoka), is currently the most devastating ...
Anthony Salvucci, Ioannis Stergiopoulos
exaly +2 more sources