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Data underlying the publication "Banana fibre yield and recovery in diversified farming systems of Uganda: Protocol, allometry and determinants."

  • Daphine Kamusingize (Creator)
  • Godfrey Taulya (Makerere University) (Creator)
  • Esther Ronner (Creator)
  • Priver Namanya (Creator)
  • Jerome Kubiriba (Creator)
  • Experito Muyanja Kabuga (Creator)
  • Wilber Ngabirano (Creator)
  • Abias Kushaba (Creator)
  • Derick Tiburondwa (Creator)
  • Katrien Descheemaeker (Creator)

Dataset

Description

Fibre from agricultural residues, including banana pseudo-stems, is globally gaining traction. This study aimed at developing allometric models for rapid evaluation of plant-level fibre yield, and probing underlying determinants for both yield and recovery. The data was collected on a total of 346 pseudo-stems purposively sampled from on-station and farmers’ fields across four banana genomes - AAA, AAA-EA, AAB, ABB) at pre- and post-flowering growth stages. Banana fibre was mechanically extracted, sun-dried, stored and weighed to determine fibre yield and recovery. The data used to develope genome-specific allometric models for predicting dry fibre yield per plant was based on variables measured within (in-situ) and outside the field (ex-situ).
Date made available4 Sept 2025
PublisherWageningen University & Research
Temporal coverage9 Jan 2023 - 30 Apr 2023
Geographical coverageWakiso district, Central region, Uganda; Bunyangabu district, Western region, Uganda; Isingiro district, Southwestern region, Uganda

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