果実発達の新たなルールを発見~機械学習と三次元解析による果実成長の可視化~

2026-02-16 京都大学

京都大学大学院農学研究科の西山総一郎助教らは、機械学習と三次元解析を用いて果実発達の共通ルールを解明した。カキ果実の表面に指標点を設けて三次元的に成長を追跡した結果、ヘタ(果柄)側で成長が最も活発で、先端に向かうほど緩やかになる共通の成長勾配を確認。品種間ではその勾配の強さが異なり、形状差と関連することが示された。さらに3D Gaussian Splattingを導入し、非破壊で連続観察可能な再構築手法を確立。モモやリンゴでも果柄側優位の成長が見られた一方、セイヨウナシでは先端側成長も顕著で、種ごとの発達様式の違いが明らかとなった。成果は『Scientia Horticulturae』『Plant Phenomics』に掲載。

果実発達の新たなルールを発見~機械学習と三次元解析による果実成長の可視化~

左)京都大学附属農場・京都農場に保存されている多様な形状のカキ(写真提供:久住あかね)、(右)3D Gaussian Splattingによりモデル化したバラ科果樹(写真提供:新保彩萌)

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3D Gaussian Splatting を用いたバラ科仁果および核果における果実成長動態の空間解析 Spatially resolved analysis of growth dynamics in pome and drupe fruits of Rosaceae using 3D Gaussian Splatting

Ayame Shimbo, Soichiro Nishiyama, Akane Kusumi, Takuya Morimoto, Hisayo Yamane, Akihiro Itai, Ryutaro Tao

Plant Phenomics  Available online: 9 January 2026

DOI:https://doi.org/10.1016/j.plaphe.2026.100166

Abstract

Fruit growth has long been described using single- or double-sigmoid curves; however, these temporal models cannot fully capture the spatial heterogeneity that ultimately shapes a fruit. Here, we present a three-dimensional analysis pipeline that non-destructively tracks spatial fruit growth dynamics from field-collected imagery. Surface landmarks were drawn, and video recordings were taken throughout development for three pome fruits, apple (Malus × domestica), Japanese pear (Pyrus pyrifolia) and European pear (Pyrus communis), and two drupe fruits, peach (Prunus persica) and Japanese apricot (Prunus mume), to track their motion. Using 3D Gaussian splatting, we successfully reconstructed 3D models of the fruits, and the landmark displacement could be measured with high accuracy, with R2 ≥ 0.98 when compared to manual recordings. We found a common spatial growth gradient in the longitudinal growth shared in the pomes and drupes of the Rosaceae; proximal (stem-end) regions exhibited more pronounced growth than the distal (stylar) end. An exception was found in European pear ‘Bartlett,’ which showed relatively vigorous growth in the distal region, explaining its distinct shape with expanded distal end. Transverse expansion varied far less than longitudinal expansion, with a possible association with initial fruit morphology. Inter-fruit growth variability peaked in the fastest-growing regions, particularly in the distal area of the European pear, highlighting the link between growth vigor and phenotypic variance. These results provide foundational insights into the developmental dynamics of both pome and drupe fruits of the Rosaceae family, contributing to the optimization of fruit size, shape, and uniformity.

1204農業及び蚕糸
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