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

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).

源自农业废弃物（包括香蕉假茎）的纤维在全球范围内愈发受到关注。本研究旨在构建异速生长模型（allometric models）以快速评估单株纤维产量，并探究影响纤维产量与回收率的潜在决定因素。研究共采集了346株假茎样本，这些样本采用目的性抽样方法，取自4个香蕉基因组（AAA、AAA-EA、AAB、ABB）的田间试验站及农户种植地块，采样覆盖开花前与开花后两个生长阶段。通过机械提取、日光晾晒、储存与称重的流程对香蕉纤维进行处理，以此测定纤维产量与回收率。用于构建基因组特异性异速生长模型以预测单株干纤维产量的数据集，其变量采集涵盖田间原位（in-situ）与田块外异地（ex-situ）两类测量场景。