Spatial parameters associated with the risk of banana bunchy top disease in smallholder systems

Kéladomé Maturin Géoffroy Dato; Mahougnon Robinson Dégbègni; Mintodê Nicodème Atchadé; Martine Zandjanakou Tachin; Mahouton Norbert Hounkonnou; Bonaventure Aman Omondi

doi:10.1371/journal.pone.0260976

Spatial parameters associated with the risk of banana bunchy top disease in smallholder systems

PLoS One. 2021 Dec 3;16(12):e0260976. doi: 10.1371/journal.pone.0260976. eCollection 2021.

Authors

Kéladomé Maturin Géoffroy Dato¹, Mahougnon Robinson Dégbègni¹, Mintodê Nicodème Atchadé^{1

2}, Martine Zandjanakou Tachin³, Mahouton Norbert Hounkonnou¹, Bonaventure Aman Omondi⁴

Affiliations

¹ International Chair in Mathematical Physics and Applications (ICMPA-UNESCO CHAIR), University of Abomey-Calavi, Cotonou, Benin Republic.
² National Higher School of Mathematics Genius and Modelization, National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Republic of Benin.
³ Doctorate School of Agriculture and Water Sciences, National University of Agriculture, Kétou, Benin Republic.
⁴ Bioversity International (Alliance of Bioversity International and CIAT), Abomey Calavi, Cotonou, Benin.

Abstract

The Banana Bunchy Top Disease (BBTD), caused by the Banana Bunchy Top Virus (BBTV) is the most important and devastating in many tropical countries. BBTD epidemiology has been little studied, mixed landscape smallholder systems. The relative risks associated with this disease vary between geographical areas and landscapes. This work analyzed the management and vegetation conditions in smallholder gardens to assess the factors linked to landscape-level BBTV transmission and management. Mapping was done in this study area which is in a BBTD-endemic region, involving farmers actively managing the disease, but with household-level decision making. A spatial scanning statistic was used to detect and identify spatial groups at the 5% significance threshold, and a Poisson regression model was used to explore propagation vectors and the effect of surrounding vegetation and crop diversity. Spatial groups with high relative risk were identified in three communities, Dangbo, Houéyogbé, and Adjarra. Significant associations emerged between the BBTD prevalence and some crop diversity, seed systems, and BBTD management linked factors. The identified factors form important candidate management options for the detailed assessment of landscape-scale BBTD management in smallholder communities.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Babuvirus / classification
Babuvirus / genetics
Babuvirus / isolation & purification*
Crops, Agricultural / growth & development
Crops, Agricultural / virology*
DNA, Viral / analysis
DNA, Viral / genetics*
Musa / virology*
Phylogeny
Plant Diseases / virology*
Spatial Analysis*

Substances

DNA, Viral

Grants and funding

This work was supported, in whole or in part, by the Bill & Melinda Gates Foundation [BBTV mitigation: Community management in Nigeria, and screening wild banana progenitors for resistance. Project: INV-010652 (formerly OPP1130226)]. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. We also have this work was funded by the University of Queensland Grant to Bioversity International under the project: BBTV mitigation: Community management in Nigeria and screening wild banana progenitors for resistance – Remote Mapping and Detection of Banana Canopy in Mixed Landscapes (Number 1229). Community Management of BBTD was funded by the Consortium Research Programme on Root Tubers and Bananas, BA 3.4, Banana Viral Diseases. We are grateful to RTB and her donor consortium. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.