Results 31 to 40 of about 638 (162)

Physico-chemical characterization of banana varieties resistant to black leaf streak disease for industrial purposes

open access: yesCiência Rural, 2016
: Cultivated bananas have very low genetic diversity making them vulnerable to diseases such as black-Sigatoka leaf spot. However, the decision to adopt a new banana variety needs to be based on a robust evaluation of agronomical and physical-chemical ...
Rossana Catie Bueno de Godoy   +5 more
doaj   +1 more source

Influence Of Crop Management And Soil On Plantain [Musa spp. z AAB Group) Response To Black Sigatoka Infection In Southeastern Nigeria [PDF]

open access: yesTropicultura, 1994
An on-farm survey was carried out to assess the severity of black sigatoka caused by Mycosphaerella fijiensis Morelet on plantain in southeastern Nigeria. Two different geomor-phological zones (Meander belts and Coastal plain sands) were surveyed.
Mobambo, KN.   +3 more
doaj  

Field Plot Techniques for Black Sigatoka Evaluation in East African Highland Bananas [PDF]

open access: yesTropicultura, 1997
Number of plants per experimental unit and number of replications for the efficient and precise assessment of black sigatoka leaf spot disease caused by Mycosphaerella fijiensis in East African Highland bananas were determined.
Okoro, JU., Ortiz, R., Vuylsteke, D.
doaj  

Forecasting Black Sigatoka Infection Risks with Latent Neural ODEs

open access: yesCoRR, 2020
Black Sigatoka disease severely decreases global banana production, and climate change aggravates the problem by altering fungal species distributions. Due to the heavy financial burden of managing this infectious disease, farmers in developing countries face significant banana crop losses.
Yuchen Wang   +6 more
openaire   +2 more sources

Efficient screening procedure for black sigatoka disease of banana

open access: yesAfrican Crop Science Journal, 2015
Current methods for screening for reaction of Mycosphaerella fijiensis are mostly field based and subject to variability caused by weather conditions. The objective of this study was to develop an efficient screening procedure for black sigatoka disease in order to provide a reliable controlled environment screening method.
Kumakech, A.   +3 more
openaire   +5 more sources

Situation de la cercosporiose noire des bananiers et plantains Musa spp. sous différents systèmes de culture à Yangambi, Haut-Zaïre [PDF]

open access: yesTropicultura, 1993
Black sigatoka situation of bananas and plantains Musa spp. under different farming systems at Yangambi, Upper-Zaire. Black sigatoka, a leaf spot disease, caused by Mycosphaerella fijiensis Morelet seems to be one of the major constraints in the banana ...
Mobambo, KN., Naku, M.
doaj  

Embedded Pesticide Use: Exploring the Pesticide‐Land Nexus

open access: yesJournal of Agrarian Change, EarlyView.
ABSTRACT Since the turn of the century, global land grabs, farmland financialization and land‐based food sovereignty movements have returned the land question to the heart of agrarian studies. Meanwhile, abiding interest in pesticides has been reanimated in the face of changes in production, regulation and knowledge of toxicity.
Julie Guthman, Marion Werner
wiley   +1 more source

Evidence of Resistance to QoI Fungicides in Contemporary Populations of Mycosphaerella fijiensis, M. musicola and M. thailandica from Banana Plantations in Southeastern Brazil

open access: yesAgronomy, 2022
Yellow and black Sigatoka, caused by Mycosphaerella fijiensis and M. musicola, respectively, are the most important worldwide foliar diseases of bananas.
Tamiris Y. K. Oliveira   +6 more
doaj   +1 more source

Controlling banana bunchy top disease in Benin: Crop protection strategies with socio‐economic perspectives

open access: yesPLANTS, PEOPLE, PLANET, Volume 8, Issue 5, Page 1675-1691, September 2026.
Banana and plantain are vital for food security and income in West Africa, yet banana bunchy top virus (BBTV) threatens production. This study combined remote sensing, field surveys, modelling and socio‐economic analysis to assess BBTV spread and control strategies in Benin.
Renata Retkute   +13 more
wiley   +1 more source

Image Segmentation Deep Learning Model for Early Detection of Banana Diseases

open access: yesApplied Artificial Intelligence
Bananas are among the most widely produced perennial fruits and staple food crops that are highly affected by numerous diseases. When not managed early, Fusarium Wilt and Black Sigatoka are two of the most detrimental banana diseases in East Africa ...
Christian A. Elinisa   +3 more
doaj   +1 more source

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