Evidence map›Paper›PMID 42908881›Full record

ArticleDiscover agriculture2026

Spatial distribution of phenotypic and biotic traits in cassava fields across Sierra Leone.

Vandi Amara, Alusaine Edward Samura, Prince Emmanuel Norman, Seka John Steven, Fidele Tiendrebeogo, Angela Obiageli Eni, Justin S Pita

Abstract read
In one paragraph

Article in Discover agriculture, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Vandi AmaraDepartment of Crop Protection, School of Agriculture and Food Sciences, Njala University, Njala Campus, Freetown, Sierra Leone.
Alusaine Edward SamuraDepartment of Crop Protection, School of Agriculture and Food Sciences, Njala University, Njala Campus, Freetown, Sierra Leone.
Prince Emmanuel NormanGermplasm Enhancement and Seeds System, Sierra Leone Agricultural Research Institute (SLARI), Freetown, Sierra Leone.
Seka John StevenRegional Center for Excellence for Transboundary Plant Pathogens, Central and West African Virus Epidemiology (WAVE), Pôle Scientifique et d'Innovation de Université Félix Houphouët-Boigny (Bingerville), Abidjan, BPV 34 Côte d'Ivoire.
Fidele TiendrebeogoRegional Center for Excellence for Transboundary Plant Pathogens, Central and West African Virus Epidemiology (WAVE), Pôle Scientifique et d'Innovation de Université Félix Houphouët-Boigny (Bingerville), Abidjan, BPV 34 Côte d'Ivoire.
Angela Obiageli EniRegional Center for Excellence for Transboundary Plant Pathogens, Central and West African Virus Epidemiology (WAVE), Pôle Scientifique et d'Innovation de Université Félix Houphouët-Boigny (Bingerville), Abidjan, BPV 34 Côte d'Ivoire.
Justin S PitaRegional Center for Excellence for Transboundary Plant Pathogens, Central and West African Virus Epidemiology (WAVE), Pôle Scientifique et d'Innovation de Université Félix Houphouët-Boigny (Bingerville), Abidjan, BPV 34 Côte d'Ivoire.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited information regarding the spatial distribution of key agronomic and biotic traits in cassava morphological types constrains targeted breeding, conservation and crop improvement efforts in Sierra Leone. This study aimed to assess the distribution of key agronomic traits of cassava morphological types on 276 smallholder farms in Sierra Leone during January 2022. Traits studied included apical leaf color, leaf color, leaf vein color, number of lobes, number of whiteflies and grasshoppers, cassava mosaic disease (CMD) severity, farm size and age of plants. A field survey involving 276 cassava farms distributed across the five regions of Sierra Leone was conducted in January 2022. Agronomic, pest and disease data were collected from 30 randomly selected plants per farm following WAVE harmonized protocols. Geographic Information System (GIS)-based geospatial analyses were used to generate spatial distribution maps, while analysis of variance and Pearson correlation analyses were used to examine relationships among traits, pest abundance and disease severity. The majority of the cassava morphological types assessed exhibited green apical leaf (65.3%), light green leaf (64.3%), green leaf vein (55.6%), and prominent foliar scar (53.5%) with seven lobes (62.6%). Whitefly and grasshopper had higher populations of seven whiteflies per plant and 12 grasshoppers per plant in the western and eastern regions, respectively; whereas, a few farms in the southern region had no whiteflies. The CMD infection was mainly through contaminated cuttings (99.2%), with cutting-derived plants exhibiting moderate CMD severity. Mean CMD severity significantly (

Indexed as

DiseaseFarmers’ fieldsManihot esculentaMorphologicalPestsTrait distribution

Identifiers

PMID42908881
PMCPMC13683517

What OpenQuestion holds

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Registered trials

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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.