Data analysis was performed using a custom-developed software platform, the Banana Morphology Simulation System. The source code and datasets are publicly available on GitHub (https://github.com/Interstingsun/SimBanana, accessed on 4 January 2026).
Open resource ↗Interstingsun/SimBanana · pdf-page:5 lines:1-24Unverified paper record
A Biomass-Driven 3D Structural Model for Banana (Musa spp.) Fruit Fingers Across Genotypes
Agronomy · 14 Jan 2026 · 10.3390/agronomy16020204
Abstract
Banana (Musa spp.) fruit morphology is a key determinant of yield and quality, yet modeling its 3D structural dynamics across genotypes remains difficult. To address this challenge, we developed a generic, biomass-driven 3D structural model for banana fruit fingers that quantitatively links growth and morphology. Field experiments were conducted over two growing seasons in Hainan, China, using three representative genotypes. Morphological traits, including outer and inner arc length, circumference, and pedicel length, along with dry (Wd) and fresh weight (Wf), were measured every 10 days after flowering until 110 days. Quantitative relationships between morphological traits and Wf, as well as between Wd and Wf, were fitted using linear or Gompertz functions with genotype-specific parameters. Based on these functions, a parameterized 3D reconstruction method was implemented in Python, combining biomass-driven growth equations, curvature geometry, and cross-sectional interpolation to simulate the fruit’s bending, tapering, and volumetric development. The resulting dynamic 3D models accurately reproduced genotype-specific differences in curvature, length, and shape with average fitting R2 > 0.95. The proposed biomass-driven 3D structural model provides a methodological framework for integrating banana fruit morphology into functional–structural plant models.
Plant phenotyping relevance
バナナ果実の形態形質を推定・再現するバイオマス駆動型3D構造モデルを開発し、遺伝子型間の形状を検証しており、フェノタイピング手法が中心である。
abstractwe developed a generic, biomass-driven 3D structural model for banana fruit fingers that quantitatively links growth and morphology.
abstractThe resulting dynamic 3D models accurately reproduced genotype-specific differences in curvature, length, and shape with average fitting R2 > 0.95.
Code and data availability
The paper explicitly states that the source code of the Banana Morphology Simulation System and the datasets are publicly available on GitHub at the authors' URL, which matches an allowed URL. This covers the paper's phenotyping datasets and analysis/3D modeling code.
The source code and datasets are publicly available on GitHub (https://github.com/Interstingsun/SimBanana, accessed on 4 January 2026).
Open resource ↗Interstingsun/SimBanana · pdf-page:5 lines:1-24This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.