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Enset Research Database: A Comprehensive Bibliography of Ensete ventricosum Research (1790-2025)

Domaine:

agriculture

Type de record:

dataset
Créateur:
Mua
Éditeur:
Mua
Éditeur:
Zenodo
Hôte:avatar

Summary

This dataset comprises a comprehensive, curated bibliography of 807 research publications on Ensete ventricosum (commonly known as Enset, False Banana, or Abyssinian Banana), a critical drought-tolerant food security crop native to Ethiopia and cultivated across East Africa. The database spans scholarly literature from 1790 to June 2026, capturing the full breadth of enset research history.

Background

Ensete ventricosum (Welw.) Cheesman (family Musaceae) is a perennial monocarpic plant that serves as a staple or co-staple food for over 20 million people in the Ethiopian Highlands. Despite its critical role in food security, climate resilience, and sustainable agriculture, enset has been historically under-researched compared to other major crops. This database addresses that gap by systematically aggregating and organizing all available enset research outputs.

Dataset Structure

The database includes 807 records, each containing up to 21 fields of structured metadata:

 
 
FieldDescription
idUnique identifier (1-807)
authorsAuthor(s) names (individuals and groups)
titleFull publication title
yearPublication year (1790-2026)
publisher_countryCountry of publisher
publisher_institution_categoryType of institution (University, NGO, Government, Private)
publisher / journal_namePublisher name or journal title
indexIndexing databases (Scopus, Web of Science, etc.)
impact_factorJournal impact factor (if available)
impact_categoryHigh (H), Medium (M), or Low (L) impact
volume / issueJournal volume and issue numbers
article_accessOpen Access or Restricted
urlDirect link to publication (DOI or URL)
study_typesResearch type (Research, Review, Book, Thesis, etc.)
study_categoryResearch category (Taxonomy, Genetics, Agronomy, etc.)
geographic_focusGeographic region of study (Ethiopia, Africa, Global, etc.)
landraces_mentionedSpecific enset landraces/clones discussed
abstractPublication abstract (when available)
overviewKey findings or summary

Coverage

  • Temporal coverage: 1790 – 2025

  • Geographic coverage: Global, with emphasis on Ethiopia, Africa, India, and Southeast Asia

  • Document types: Journal articles, books, book chapters, theses, conference papers, reports, reviews, preprints, and institutional publications

  • Research categories: Taxonomy & Systematics, Genetics & Genomics, Production & Agronomy, Food Science & Fermentation, Ethnobotany & Indigenous Knowledge, Diseases & Pests, Biochemistry & Nutrition, Microbiota & Soil Science, History, Paleobotany, Socio-economics & Marketing, and Reviews & General

Sample Records

 
 
idAuthorsTitleYear
1Cheesman, E. E.Classification of the bananas: the genus Ensete Horan1947
2Baker, R. E. D.; Simmonds, N. W.The genus ensete in Africa1953
3Smeds, HelmerThe Ensete planting culture of Eastern Sidamo, Ethiopia1955
302Harrison, James et al.A draft genome sequence for Ensete ventricosum2014
513Borrell, James S. et al.Enset in Ethiopia: a poorly characterized but resilient starch staple2019

Key Features of This Dataset

  1. Comprehensive coverage – 800+ records spanning over 235 years of research

  2. Structured metadata – 21 standardized fields for easy filtering and analysis

  3. Open access identification – Each record indicates whether the publication is freely available

  4. Direct links – URLs and DOIs provided for easy access to source publications

  5. Categorization – Publications classified by study type, category, and geographic focus

  6. Landraces tracking – Specific enset landraces mentioned in publications are recorded

Potential Uses

  • Bibliometric analysis of enset research trends over time

  • Identification of research gaps in enset science

  • Literature review and systematic review support

  • Citation analysis and impact assessment

  • Reference management for enset researchers

  • Educational resource for agricultural and food security courses

  • Policy support for enset research prioritization

Methodology

The bibliography was compiled through:

  1. Systematic searches of academic databases (Scopus, Web of Science, Google Scholar, PubMed, AGRIS)

  2. Review of institutional repositories and university thesis databases

  3. Citation chaining from key enset publications

  4. Consultation with enset research experts and institutions (Areka Agricultural Research Center, Hawassa University, Arba Minch University, Wageningen University)

  5. Manual curation and deduplication of records

  6. Cross-verification of metadata against original sources

File Format

The dataset is provided as a CSV (Comma-Separated Values) file encoded in UTF-8, compatible with:

  • Microsoft Excel

  • Google Sheets

  • R (read.csv)

  • Python (pandas)

  • Zotero, Mendeley, and other reference managers

  • Any text editor or data analysis software

Version Information

  • Version: 1.0

  • Last updated: June 2026

  • Number of records: 807

  • Next planned update: Annually or as new publications become available

Citation

When using this dataset, please cite:

text
Mitiku Muanenda. (2026). Enset Research Database: A Comprehensive Bibliography of Ensete ventricosum Research (1790-2025) (Version 1.0) [Data set]. Zenodo. doi.org]

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