scholarly journals Sources of resistance to Pseudocercospora fijiensis , the cause of black Sigatoka in banana

2021 ◽  
Author(s):  
Janet Kimunye ◽  
Evans Were ◽  
Rony Swennen ◽  
Altus Viljoen ◽  
George Mahuku
Keyword(s):  
Black Sigatoka ◽  
Sources Of Resistance ◽  
Pseudocercospora Fijiensis

scholarly journals Selection of Diploid and Tetraploid Banana Hybrids Resistant to Pseudocercospora fijiensis

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2483
Author(s):  
Zalmar Santana Gonçalves ◽  
Anelita de Jesus Rocha ◽  
Fernando Haddad ◽  
Vanusia Batista de Oliveira Amorim ◽  
Claudia Fortes Ferreira ◽  
...  
Keyword(s):  
Quantitative Resistance ◽  
Severity Index ◽  
Black Sigatoka ◽  
Sources Of Resistance ◽  
Breeding Programs ◽  
Total Period ◽  
Progress Curve ◽  
Evaluation Time ◽  
Pseudocercospora Fijiensis ◽  
Selection Of

Black Sigatoka, a disease caused by the fungus Pseudocercospora fijiensis, can lead to the complete loss of banana and plantain production in the absence of chemical control. The development of resistant cultivars is the focus of many banana breeding programs and is an alternative to the use of fungicides. In order to define a refined method of selection in genetic breeding programs, this study evaluated 23 improved diploids, seven tetraploids, and two commercial cultivars in the presence of P. fijiensis. Four selection criteria were considered: means of the disease severity index (ID) and area under the disease progress curve (AUDPC) estimated over the total period of the experiment, only in summer, only in winter, and the emission and harvesting of bunches. The selection of genotypes was more effective in the winter, and the evaluation of four leaves no. 3 emitted after six months of growth was efficient at differentiating the resistant and susceptible genotypes. For the improved diploids and tetraploid hybrids, DI varied from 0.0 to 48.8 and from 15.1 to 63.5, respectively, and the AACPD for the improved hybrids and tetraploid hybrids varied from 0.0 to 2439.5 and 1000.2 to 3717.7, respectively. The tetraploid hybrid of the Prata-type CNPMF0906 and the commercial cultivar, which is a hybrid of the BRS Princesa Silk type, showed quantitative resistance and can be used by banana producers. Results suggest that the guidelines adopted for the selection of genotypes resistant to black Sigatoka may include methodologies that reduce the evaluation time. In addition, new sources of resistance to the disease and the influence of its genetic inheritance in future crosses were found.

scholarly journals First Draft Genome Sequence Resource of a Strain of Pseudocercospora fijiensis Isolated in North America

2020 ◽  
Vol 110 (10) ◽  
pp. 1620-1622
Author(s):  
Luis Amarillas ◽  
Mitzi Estrada-Acosta ◽  
Rubén G. León-Chan ◽  
Carlos López-Orona ◽  
Luis Lightbourn
Keyword(s):  
North America ◽  
Fungicide Resistance ◽  
Fungal Pathogens ◽  
Genomic Sequence ◽  
Draft Genome ◽  
Bioinformatic Analysis ◽  
Black Sigatoka ◽  
Efficient Management ◽  
Black Sigatoka Disease ◽  
Pseudocercospora Fijiensis

Black Sigatoka disease, caused by the fungus Pseudocercospora fijiensis, is one of the most devastating diseases of banana around the world. Fungicide applications are the primary tool used to manage black Sigatoka, but fungicide resistance in P. fijiensis, as in other fungal pathogens, is one of the major limitations in the efficient management and prevention of this disease. In the current study, we present the draft genome of P. fijiensis strain IIL-20, the first genomic sequence published from a strain of this fungus isolated in North America. Bioinformatic analysis showed putative genes involved in fungus virulence and fungicide resistance. These findings may lead us to a better understanding of the molecular pathogenesis of this fungal pathogen and also to the discovery of the mechanisms conferring fungicide resistance.

scholarly journals Combating a Global Threat to a Clonal Crop: Banana Black Sigatoka Pathogen Pseudocercospora fijiensis (Synonym Mycosphaerella fijiensis) Genomes Reveal Clues for Disease Control

PLoS Genetics ◽  
2016 ◽  
Vol 12 (8) ◽  
pp. e1005876 ◽  
Author(s):  
Rafael E. Arango Isaza ◽  
Caucasella Diaz-Trujillo ◽  
Braham Dhillon ◽  
Andrea Aerts ◽  
Jean Carlier ◽  
...  
Keyword(s):  
Disease Control ◽  
Mycosphaerella Fijiensis ◽  
Black Sigatoka ◽  
Global Threat ◽  
Pseudocercospora Fijiensis

scholarly journals Population Structure of Pseudocercospora fijiensis in Costa Rica Reveals Shared Haplotype Diversity with Southeast Asian Populations

2017 ◽  
Vol 107 (12) ◽  
pp. 1541-1548 ◽  
Author(s):  
Amanda Saville ◽  
Melodi Charles ◽  
Suchitra Chavan ◽  
Miguel Muñoz ◽  
Luis Gómez-Alpizar ◽  
...  
Keyword(s):  
Costa Rica ◽  
Southeast Asia ◽  
Management Strategies ◽  
Haplotype Diversity ◽  
Costa Rican ◽  
Black Sigatoka ◽  
Shared Haplotype ◽  
Asian Populations ◽  
Haplotypic Diversity ◽  
Pseudocercospora Fijiensis

Pseudocercospora fijiensis is the causal pathogen of black Sigatoka, a devastating disease of banana that can cause 20 to 80% yield loss in the absence of fungicides in banana crops. The genetic structure of populations of P. fijiensis in Costa Rica was examined and compared with Honduran and global populations to better understand migration patterns and inform management strategies. In total, 118 isolates of P. fijiensis collected from Costa Rica and Honduras from 2010 to 2014 were analyzed using multilocus genotyping of six loci and compared with a previously published global dataset of populations of P. fijiensis. The Costa Rican and Honduran populations shared haplotype diversity with haplotypes from Southeast Asia, Oceania, and the Americas but not Africa for all but one of the six loci studied. Gene flow and shared haplotype diversity was found in Honduran and Costa Rican populations of the pathogen. The data indicate that the haplotypic diversity observed in Costa Rican populations of P. fijiensis is derived from dispersal from initial outbreak sources in Honduras and admixtures between genetically differentiated sources from Southeast Asia, Oceania, and the Americas.

scholarly journals Identification of New Hosts of Pseudocercospora fijiensis Suggests Innovative Pest Management Programs for Black Sigatoka Disease in Banana Plantations

Agronomy ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 666 ◽  
Author(s):  
Vázquez-Euán ◽  
Chi-Manzanero ◽  
Hernández-Velázquez ◽  
Tzec-Simá ◽  
Islas-Flores ◽  
...  
Keyword(s):  
Plant Species ◽  
Current Knowledge ◽  
Present Report ◽  
Black Sigatoka ◽  
Successful Management ◽  
Plant Host ◽  
Diagnostic Pcr ◽  
Banana Production ◽  
Initial Inoculum ◽  
Pseudocercospora Fijiensis

Black Sigatoka is the main constraint to banana production worldwide, and epidemic outbreaks are continuously causing huge losses. Successful management of diseases requires a profound knowledge of the epidemiological factors that influence disease dynamics. Information regarding alternative hosts of Pseudocercospora fijiensis, the causal agent, is still very scarce. To date, only Heliconia psittacorum has been reported as an alternative plant host, and we hypothesized that other plants can house P. fijiensis. In the present report, ten plant species with suspicious leaf spots were collected inside and around commercial banana crops in Mexico. Diagnostic PCR gave positive amplification for six of these plant species, and DNA sequencing confirmed the presence of the pathogen in four. This is the first report of the presence of P. fijiensis in unrelated plants and it represents a breakthrough in the current knowledge of black Sigatoka. This finding is very important given the polycyclic nature of this disease whose successful management requires the control of initial inoculum to minimize epidemic outbreaks. The results presented herein can be used to introduce innovations in integrated black Sigatoka management programs to reduce initial inoculum, and help the international initiative to reduce the use of fungicides in banana production.

scholarly journals A new mechanism for reduced sensitivity to demethylation-inhibitor fungicides in the fungal banana black Sigatoka pathogen Pseudocercospora fijiensis

2018 ◽  
Vol 19 (6) ◽  
pp. 1491-1503 ◽  
Author(s):  
Caucasella Diaz-Trujillo ◽  
Pablo Chong ◽  
Ioannis Stergiopoulos ◽  
Viviane Cordovez ◽  
Mauricio Guzman ◽  
...  
Keyword(s):  
Black Sigatoka ◽  
Pseudocercospora Fijiensis ◽  
Demethylation Inhibitor

scholarly journals Inelastic scattering imaging system for Pseudocercospora fijiensis detection

2019 ◽  
Author(s):  
Juan Velez Alvarez ◽  
Alvaro Bastidas ◽  
Alejandra Monsalve ◽  
Tehseen Adel ◽  
Isabel Calle ◽  
...  
Keyword(s):  
Inelastic Scattering ◽  
Imaging System ◽  
Culture Media ◽  
Black Sigatoka ◽  
Bending Vibration ◽  
Fungal Cell ◽  
Industrial Economy ◽  
Fungal Phytopathogen ◽  
Black Sigatoka Disease ◽  
Pseudocercospora Fijiensis

This work sought to develop an inelastic scattering imaging system based on Raman spectroscopy for the detection of the fungal phytopathogen, Pseudocercospora fijiensis, which causes Black Sigatoka disease in banana crops, very important in Colombian agro-industrial economy. This system consists of a modified stereoscope with an optical setup able to simultaneously capture spectral images together with its Raman spectra. The camera has two different bandpass filters attached, centered in the spectral region of C=O stretching of Chitin and the equatorial bending vibration of beta-1,3-glucan, molecules of the fungal cell wall. In this way, the system can get images with unique spectral features, suitable for training a convolutional neural network in order to get a recognition pattern of the fungal strain growing in the PDA agar. As a result, the instrument was able to detect the presence of P.fijiensis over the culture media.

Possible sources of resistance to black sigatoka in the Papua New Guinea biological foundation banana collection

1983 ◽  
Vol 29 (4) ◽  
pp. 303-308 ◽  
Author(s):  
M. N. Pearson ◽  
P. B. Bull ◽  
K. Shepherd
Keyword(s):  
Papua New Guinea ◽  
New Guinea ◽  
Black Sigatoka ◽  
Sources Of Resistance ◽  
Biological Foundation
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