Appraisal of methods for assessing black Sigatoka resistance in diploid banana populations

2011 ◽  
Vol 5 (15) ◽  
Author(s):  
A. Barekye
Keyword(s):  
Black Sigatoka ◽  
Diploid Banana

scholarly journals Diploid Banana Hybrids TMB2x5105-1 and TMB2x9128-3 with Good Combining Ability, Resistance to Black Sigatoka and Nematodes

HortScience ◽  
2003 ◽  
Vol 38 (3) ◽  
pp. 468-472 ◽  
Author(s):  
A. Tenkouano ◽  
D. Vuylsteke ◽  
J. Okoro ◽  
D. Makumbi ◽  
R. Swennen ◽  
...  
Keyword(s):  
Combining Ability ◽  
Black Sigatoka ◽  
Diploid Banana

Antifungal activity of Serratia marcescens CFFSUR-B2 purified chitinolytic enzymes and prodigiosin against Mycosphaerella fijiensis, causal agent of black Sigatoka in banana (Musa spp.)

BioControl ◽  
2015 ◽  
Vol 60 (4) ◽  
pp. 565-572 ◽  
Author(s):  
Martha Ingrid Gutiérrez-Román ◽  
Francisco Holguín-Meléndez ◽  
Michael F. Dunn ◽  
Karina Guillén-Navarro ◽  
Graciela Huerta-Palacios
Keyword(s):  
Antifungal Activity ◽  
Serratia Marcescens ◽  
Causal Agent ◽  
Mycosphaerella Fijiensis ◽  
Black Sigatoka ◽  
Chitinolytic Enzymes ◽  
Musa Spp

Effect of trifloxystrobin and azoxystrobin on the control of black Sigatoka (Mycosphaerella fijiensis Morelet) on banana and plantain

2002 ◽  
Vol 21 (1) ◽  
pp. 17-23 ◽  
Author(s):  
Luis Pérez ◽  
Alexis Hernández ◽  
Lázaro Hernández ◽  
Michel Pérez
Keyword(s):  
Mycosphaerella Fijiensis ◽  
Black Sigatoka

Genetic variability ofPseudocercospora fijiensis, the black Sigatoka pathogen of banana (Musaspp.) in Mexico

2019 ◽  
Vol 68 (3) ◽  
pp. 513-522 ◽  
Author(s):  
G. Manzo-Sánchez ◽  
M. Orozco-Santos ◽  
I. Islas-Flores ◽  
L. Martínez-Bolaños ◽  
S. Guzmán-González ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Black Sigatoka

scholarly journals Illuminance affects epidemiological parameters of banana Yellow Sigatoka in Brazil

2019 ◽  
Author(s):  
Djalma M. Santana-Filho ◽  
Milene C. da Silva ◽  
Jorge T. de Souza ◽  
Zilton J. M. Cordeiro ◽  
Hermínio S. Rocha ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Survival Analysis ◽  
Cropping Systems ◽  
Leaf Age ◽  
Cropping System ◽  
Black Sigatoka ◽  
Light Interference ◽  
Leaf Spots ◽  
Leaf Necrosis ◽  
Epidemiological Parameters

ABSTRACTThe Sigatoka leaf spots are among the most important banana diseases. Although less damaging than black sigatoka, yellow sigatoka (Pseudocercospora musae) still prevails in some regions. This study aimed at testing the hypothesis of light interference in monocyclic parameters of yellow sigatoka epidemics. Grande Naine plantlets kept under contrasting shading conditions had their leaves 1 and 2 inoculated. Evaluations were performed for 60 days. For each inoculated leaf, the time until symptom onset (incubation), presence of infectious lesions (latency), and disease severity (extensive leaf necrosis) according to Stover’s scale modify per Gauhl (1994), called here only Stover’s scale, were registered. Logistic regression was used to assess the relative occurrence risk and survival analysis was used to check the effects of variables on relevant epidemiological parameters. The risks of sporulation and of reaching high severities were lower for plants kept under shading regardless of the acclimation conditions and no effect of leaf age was detected. The logistic regression showed symptoms appearing in both conditions (p=0,85), but have significance difference in occurrence of latent lesions (p=0,013) and necrosis (p<0,0001). The necrosis risk in non-shaded environment arrived 66%. The survival analysis showed significance difference in the time to appear the symptom evaluated in all tested variables (p<0,0001) in function of the cropping system. Lower illuminance negatively affected the incubation, latency and infectious periods, and severity. A shaded system could be tested to produce organic bananas in areas of high risk of occurrence of Yellow sigatoka disease.Significance and Impact of the StudyYellow Sigatoka (Pseudocercospora musae) is a banana disease that can cause severe damage if left uncontrolled. Its control is based mostly on fungicides.Our results show that shading downregulates the epidemiological parameters of that disease such as incubation, latent and infectious periods, and symptom’s severity. These results can be the basis for testing alternative cropping systems and producing organic bananas.

scholarly journals Parámetros de producción y calidad de los cultivares de banano FHIA-17, FHIA-25 y Yangambi

2017 ◽  
Vol 28 (3) ◽  
pp. 719
Author(s):  
Saúl Brenes-Gamboa
Keyword(s):  
Costa Rica ◽  
Agronomic Performance ◽  
Black Sigatoka ◽  
Fruit Characteristics ◽  
Organoleptic Properties ◽  
Growth Development ◽  
Degree Level ◽  
The Town ◽  
Brix Degree

The objective of this work was to determine indicators of growth, development, fruit characteristics, and organoleptic properties of banana FHIA-25, FHIA-17, and Yangambi cultivars. Five lots were chosen in different farms in the town of Turrialba, Costa Rica, during the years 2013 and 2014. Each lot contained 30 plants of each kind. Coco and Congo cultivars were included in the analysis of fruit and organoleptic properties since they have local importance as well. The FHIA-25 showed vigor and resistance to black Sigatoka, had a greater number of fruit bunches (13.8), and increased more than 47 kilograms the fruits weight. The highest brix degree level was obtained with the Gros Michel, which was the material that was used as a reference and which is traditionally grown in the area. Although FHIA-25 showed great agronomic performance, it just reached 17 brix degrees at the peak of its ripeness. Regarding consumers’ taste and preferences , 37% of interviewees said that FHIA-17 tasted well. The inclination towards Gros Michel was always higher; in addition to the aforementioned this type of analysis encourages seeking for new alternatives instead of relying on cultivars of this subgroup in order to satisfy the demand for this fruit for both fresh consumption and industry purposes.

scholarly journals Performance of Plantain (Musa Paradisiaca L) Fruit Yield and Quality under Different Planting Densities and Water Application

2020 ◽  
Vol 5 (6) ◽  
pp. 1237-1242
Author(s):  
Murphy Kayode M ◽  
Ozigbo Emmanuel S ◽  
Adunoye Francis O
Keyword(s):  
Plant Density ◽  
Irrigation System ◽  
Block Design ◽  
Fruit Yield ◽  
Hot Water ◽  
Disease Spread ◽  
International Institute ◽  
Black Sigatoka ◽  
Yield And Quality ◽  
Plant Densities

The performance of plantain fruit yield and quality under different planting densities under an influence of irrigation system was investigated at International Institute of Tropical Agriculture, Ibadan, Oyo State, Nigeria. Experiments were set up as a split plot fitted into randomized complete block design (RCBD) with three replications. Main plots are irrigation system while sub-plots are plant densities. Treatments included four plant densities (1 x 2, 2 x 2, 2 x 3, and 3 x 3 m), two irrigation systems and their combination where irrigation system was the main plot and plant density the sub-plot. Over 2,000 agbagba suckers were pared and hot–water treated, and planted during the first week of the experiment. Manure was applied at the rate of three spades full per plant for nutrient supplement; and mulching was done. Weeds were manually controlled as at when due. Plantain diseases like yellow sigatoka and black sigatoka were also controlled manually by de-leafing infected leaves to prevent disease spread. Data were collected and analyzed using ANOVA. Duncan multiple range test (DMRT) was used for mean separation at 5% level of significance. The results of ANOVA showed that there were significant effects (P < 0.05) due to irrigation application for all measured parameters whereas effects due to plant densities were significant for only these parameters; number of suckers (NOS), sucker height (SUHT), number of leaves on sucker (NLSC), bunch weight (BWT), number of hand (NHND), total number of finger (TFNG) and number of sucker at flowering (NSCK). Therefore, it can be concluded that plant spacing, and regular water supply plays a significant role in obtaining good yield in plantain production

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