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Incidence, severity and distribution of Cassava brown streak disease in northeastern Democratic Republic of Congo

Cassava fields were prospected from two provinces of the Democratic Republic of Congo (Ituri and Haut Uélé) to evaluate the ampleness of Cassava brown streak disease (CBSD) infection. CBSD pressure was determined by assessing the incidence, severity, whitefly abundance and distribution of the diseas...

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Autores principales: Muhindo, Honoré, Yasenge, Sabrine, Casinga, Clérisse, Songbo, Médard, Dhed’a, Benoît, Alicai, Titus, Pita, Justin, Monde, Godefroid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cogent 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909215/
https://www.ncbi.nlm.nih.gov/pubmed/33718519
http://dx.doi.org/10.1080/23311932.2020.1789422
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author Muhindo, Honoré
Yasenge, Sabrine
Casinga, Clérisse
Songbo, Médard
Dhed’a, Benoît
Alicai, Titus
Pita, Justin
Monde, Godefroid
author_facet Muhindo, Honoré
Yasenge, Sabrine
Casinga, Clérisse
Songbo, Médard
Dhed’a, Benoît
Alicai, Titus
Pita, Justin
Monde, Godefroid
author_sort Muhindo, Honoré
collection PubMed
description Cassava fields were prospected from two provinces of the Democratic Republic of Congo (Ituri and Haut Uélé) to evaluate the ampleness of Cassava brown streak disease (CBSD) infection. CBSD pressure was determined by assessing the incidence, severity, whitefly abundance and distribution of the disease viruses in the surveyed provinces. A duplex RT-PCR was performed for the simultaneous detection of Ugandan Cassava brown streak virus (UCBSV) and Cassava brown streak virus (CBSV) on 56 cassava leaves sampled in the study area. Our results show a high field CBSD incidence contrasted to a low severity in both provinces. CBSD severity was similar in both provinces (mean disease severity 2). High densities of whitefly were recorded in Ituri province (10 adult whiteflies plant(−1)) than in Haut Uélé where density was 5 adults plant(−1). However, no relation has been found between whitefly density and CBSD incidence and severity on cassava leaf, root and stems. Molecular analysis showed the incidence of single infections of UCBSV was greater than single infections of CBSV and mixed infections of UCBSV and CBSV. Disease incidence was greater in Ituri than in Haut Uélé; molecular incidence was lower than field incidence. Our results raise the need for appropriate CBSD control strategies in DRC.
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spelling pubmed-79092152021-03-11 Incidence, severity and distribution of Cassava brown streak disease in northeastern Democratic Republic of Congo Muhindo, Honoré Yasenge, Sabrine Casinga, Clérisse Songbo, Médard Dhed’a, Benoît Alicai, Titus Pita, Justin Monde, Godefroid Cogent Food Agric Food Science & Technology Cassava fields were prospected from two provinces of the Democratic Republic of Congo (Ituri and Haut Uélé) to evaluate the ampleness of Cassava brown streak disease (CBSD) infection. CBSD pressure was determined by assessing the incidence, severity, whitefly abundance and distribution of the disease viruses in the surveyed provinces. A duplex RT-PCR was performed for the simultaneous detection of Ugandan Cassava brown streak virus (UCBSV) and Cassava brown streak virus (CBSV) on 56 cassava leaves sampled in the study area. Our results show a high field CBSD incidence contrasted to a low severity in both provinces. CBSD severity was similar in both provinces (mean disease severity 2). High densities of whitefly were recorded in Ituri province (10 adult whiteflies plant(−1)) than in Haut Uélé where density was 5 adults plant(−1). However, no relation has been found between whitefly density and CBSD incidence and severity on cassava leaf, root and stems. Molecular analysis showed the incidence of single infections of UCBSV was greater than single infections of CBSV and mixed infections of UCBSV and CBSV. Disease incidence was greater in Ituri than in Haut Uélé; molecular incidence was lower than field incidence. Our results raise the need for appropriate CBSD control strategies in DRC. Cogent 2020-07-16 /pmc/articles/PMC7909215/ /pubmed/33718519 http://dx.doi.org/10.1080/23311932.2020.1789422 Text en © 2020 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. https://creativecommons.org/licenses/by/4.0/You are free to: Share — copy and redistribute the material in any medium or format. Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
spellingShingle Food Science & Technology
Muhindo, Honoré
Yasenge, Sabrine
Casinga, Clérisse
Songbo, Médard
Dhed’a, Benoît
Alicai, Titus
Pita, Justin
Monde, Godefroid
Incidence, severity and distribution of Cassava brown streak disease in northeastern Democratic Republic of Congo
title Incidence, severity and distribution of Cassava brown streak disease in northeastern Democratic Republic of Congo
title_full Incidence, severity and distribution of Cassava brown streak disease in northeastern Democratic Republic of Congo
title_fullStr Incidence, severity and distribution of Cassava brown streak disease in northeastern Democratic Republic of Congo
title_full_unstemmed Incidence, severity and distribution of Cassava brown streak disease in northeastern Democratic Republic of Congo
title_short Incidence, severity and distribution of Cassava brown streak disease in northeastern Democratic Republic of Congo
title_sort incidence, severity and distribution of cassava brown streak disease in northeastern democratic republic of congo
topic Food Science & Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909215/
https://www.ncbi.nlm.nih.gov/pubmed/33718519
http://dx.doi.org/10.1080/23311932.2020.1789422
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