Evidence map›Paper›PMID 35937329›Full record

ArticleFrontiers in plant science2022

Risk factors associated with cassava brown streak disease dissemination through seed pathways in Eastern D.R. Congo.

Yves Kwibuka, Chantal Nyirakanani, Jean Pierre Bizimana, Espoir Bisimwa, Yves Brostaux, Ludivine Lassois, Herve Vanderschuren, Sebastien Massart

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Yves KwibukaPlant Pathology Laboratory, TERRA-Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium.
Chantal NyirakananiPlant Genetics Laboratory, TERRA-Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium.
Jean Pierre BizimanaPlant Genetics Laboratory, TERRA-Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium.
Espoir BisimwaFaculté des Sciences Agronomiques, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo.
Yves BrostauxApplied Statistics, Computer Science and Modeling Laboratory, TERRA-Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium.
Ludivine LassoisPlant Genetics Laboratory, TERRA-Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium.
Herve VanderschurenPlant Genetics Laboratory, TERRA-Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium.
Sebastien MassartPlant Pathology Laboratory, TERRA-Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium.
University of Liège · BEGembloux Agro-Bio Tech · BEKU Leuven · BEUniversité Catholique de Bukavu · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vegetatively propagated crops are particularly prone to disease dissemination through their seed systems. Strict phytosanitary measures are important to limit the impact of diseases as illustrated by the potato seed system in Europe. Cassava brown streak disease (CBSD) is a devastating disease caused by two viral species collectively named cassava brown streak viruses (CBSVs). CBSD can cause substantial root yield losses of up to 100% in the worst affected areas and is easily transmitted through stem cuttings. In Eastern and Central Africa, the epidemiology of CBSVs in the local socio-economical context of production remains poorly known while a better understanding would be an asset to properly manage the disease. This lack of information explains partially the limited efficiency of current regulatory schemes in increasing the availability of quality seed to smallholders and mitigating the spread of pests and diseases. This study surveyed the epidemiology of CBSVs in Uvira territory, Eastern D.R. Congo, and its drivers using a multivariate approach combining farmer's interview, field observation, sampling and molecular detection of CBSVs. Investigation on the epidemiology of CBSD revealed that three clusters in the study area could be identified using five most significant factors: (i) symptoms incidence, (ii) number of whiteflies, (iii) types of foliar symptoms, (iv) cutting's pathways and (v) plant age. Among the three clusters identified, one proved to be potentially interesting for seed multiplication activities since the disease pressure was the lowest. Through risk assessment, we also identified several key socio-economic determinants on disease epidemy: (i) factors related to farmer's knowledge and awareness (knowledge of cassava pests and diseases, knowledge of management practices, support from extension services and management strategies applied), (ii) factors related to the geographical location of farmer's fields (proximity to borders, proximity to town, distance to acquire cuttings), as well as (iii) the pathways used to acquire cuttings.

Indexed as

cassava [Manihot esculenta (L.) Crantz]epidemiologymolecular diagnosticrisk factorsseed systemviral diseases

Identifiers

PMID35937329
PMCPMC9354974
OpenAlexW4286560308

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.