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Data · dataset · 2026

Ratoon and Perennial Rice Research: A Bibliometric Analysis of Global Trends and Sustainability Linkages (2003–2025)

Listed in Teesside University Research Data Repository

Worldwide rice production faces increasing challenges from labor constraints, resource limitations, and environmental change, stimulating research into production systems that reduce replanting frequency.

Description

Ratoon and perennial rice represent two distinct approaches to regrowth-dependent rice production, but their research development and thematic relationships have not been systematically compared. This study conducted a bibliometric analysis of 394 English-language publications (from an initial pool of 633 records) indexed in the Web of Science Core Collection (2003-2025).

Publication dynamics, citation patterns, collaboration networks, keyword co-occurrence, and thematic evolution were analyzed using VOSviewer and the bibliometrix package in R through Biblioshiny. Ratoon rice research showed a higher annual growth rate than perennial rice research, whereas perennial rice had a higher proportion of international co-authorship. China was the dominant contributor to both research domains, while international research participation remained geographically concentrated.

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Keyword and thematic analyses revealed that ratoon rice was primarily associated with agronomic management, productivity, resource-use efficiency, and environmental performance, whereas perennial rice was strongly connected with rhizome biology, genetics, quantitative trait loci, and wild germplasm. Increased overlap in sustainability-related themes, including resource-use efficiency, climate resilience, and environmental performance, was observed across both research domains.

These patterns suggest increasing thematic linkage between system-specific research, although bibliometric co-occurrence does not establish causal relationships. We propose an analytical intensification–redesign continuum for interpreting ratoon and perennial rice as approaches to reducing replanting frequency at different temporal and technological scales. Future research should strengthen long-term ecological assessment, sustainability metrics, digital agriculture applications, and representation of under-studied rice-growing regions.

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Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/68nbd654jk.18 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title