Work

Banana fibre yield and recovery in diversified farming systems of Uganda: Protocol, allometry and determinants

Year: 2026

Type: article

Abstract: The use of fibre from banana pseudo-stems is gaining traction globally. However, reliable tools for determination of banana fibre stocks and their determinants are lacking. We developed widely applicable allometric models for rapid evaluation of plant-level banana fibre yield and probed determinants for yield and recovery. A total of 346 pseudo-stems were purposively sampled from on-station and farmers’ fields across four banana genomes ( AAA, AAA-EA, AAB, ABB ) at pre- and post-flowering growth stages. Fibre was mechanically extracted, sun-dried, stored and weighed to determine fibre yield and recovery, whose determinants were assessed using generalized mixed-effects models. Genome-specific allometric models for estimating fibre yield, based on variables measured within ( in-situ ) and outside the field ( ex-situ ), were fitted using multiple linear regression analysis. Mean dry fibre yield was 146 g plant −1 while recovery was 0.8%, highest in genomes AAA and AAB , respectively. Half of the ten developed models had a prediction accuracy (adj. R 2 ) ranging from 65% to 79%, highest for AAA-EA and general models for in-situ and ex-situ conditions, respectively. Genetic and morphological pseudo-stem traits were the top determinants of yield and recovery, while physiological and phenological traits were specific to yield and recovery, respectively. Assuming 0.8% fibre recovery and current machine efficiencies, seven pseudo-stems yield 1 kg of dry fibre. The dominant genome AAA-EA is a potential source of raw material as fibre traits were similar to genomes AAB and ABB , which are currently preferred for high fibre output by fibre producers. • Genome and morphology are the strongest determinants of fibre yield and recovery. • Fibre recovery is higher in pre- than post-flowering plants, but yield is similar. • At a 0.8% fibre recovery, seven plants are needed to get 1 kg of dry fibre. • The predictive models developed are robust for diverse banana cropping systems. • The fibre extraction protocol aids in-depth study of plant-level fibre traits.

Source: Industrial Crops and Products

DOI: 10.1016/j.indcrop.2026.123442