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A novel high-throughput digital morphological phenotyping method for evaluating growth traits in rice

http://hdl.handle.net/10458/0002002151
http://hdl.handle.net/10458/0002002151
8a4eb863-7873-4a48-8698-9c07c9d18d38
名前 / ファイル ライセンス アクション
The Fulltext (1.3 MB)
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アイテムタイプ 学術雑誌論文 / Journal Article(1)
公開日 2026-01-14
タイトル
タイトル A novel high-throughput digital morphological phenotyping method for evaluating growth traits in rice
言語 en
言語
言語 eng
資源タイプ
資源タイプ journal article
アクセス権
アクセス権 open access
著者 Pongpiyapaiboon, Sorawich

× Pongpiyapaiboon, Sorawich

en Pongpiyapaiboon, Sorawich(Personal)
University of Miyazaki

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青木, 謙二

× 青木, 謙二

WEKO 34962
e-Rad_Researcher 40359980

ja 青木, 謙二
宮崎大学

ja-Kana アオキ, ケンジ

en Aoki, Kenji
University of Miyazaki

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橋口, 正嗣

× 橋口, 正嗣

WEKO 21361
e-Rad_Researcher 50381091

ja 橋口, 正嗣
宮崎大学

ja-Kana ハシグチ, マサツグ

en Hashiguchi, Masatsugu
University of Miyazaki

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明石, 良

× 明石, 良

WEKO 1585
e-Rad_Researcher 20253809

ja 明石, 良
宮崎大学

ja-Kana アカシ, リョウ

en Akashi, Ryo
University of Miyazaki

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Kishima, Yuji

× Kishima, Yuji

en Kishima, Yuji(Personal)
Hokkaido University

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田中, 秀典

× 田中, 秀典

WEKO 4740
e-Rad_Researcher 50529253

ja 田中, 秀典
宮崎大学

ja-Kana タナカ, ヒデノリ

en Tanaka, Hidenori
University of Miyazaki

Search repository
抄録
内容記述タイプ Abstract
内容記述 High-throughput and noninvasive phenotyping methods are promising technology for improving efficiency in plant research and breeding. In this study, we evaluated the performance of a digital phenotyping system (DPS) based on three-dimensional (3D) model reconstruction for quantifying key growth traits in rice (Oryza sativa). The DPS was used to estimate plant height, biomass, color, leaf morphology, and tiller angle in four rice varieties (Koshihikari, Nipponbare, PL9, and Tachiaoba). The results show high accuracy and correlation between manually measured and DPS-derived traits. Notably, the 3D volume analysis can quantify biomass accumulation and growth dynamics and revealed distinct differences among varieties. The strong correlation between the green-red normalized difference index (a red-green-blue-based index) and soil plant analysis development also demonstrated the viability of the system in monitoring leaf color without using a multispectral instrument. The analysis also captured growth patterns over time, including canopy development and senescence, which are often challenging to quantify through manual measurements alone. Furthermore, the tiller angle estimation derived from DPS provided an alternative method to plant architecture evaluation, demonstrating its potential for use in breeding programs aimed to optimize canopy structure. These findings establish DPS as a reliable and scalable tool for a digital phenotyping platform that enables comprehensive trait analysis with reduced labor and increased precision and the capability to continuously monitor plant growth and biomass accumulation. This study shows the potential of this novel digital tool for automating manual measurements, which can increase efficiency and expedite research and breeding in rice and other crops.
言語 en
書誌情報 en : Plant Phenome Journal

巻 8, 号 1, p. e70054, 発行日 2025-12-10
出版者
出版者 Wiley
言語 en
ISSN
収録物識別子タイプ EISSN
収録物識別子 25782703
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1002/ppj2.70054
権利
権利情報 © 2026 American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America
言語 en
著者版フラグ
出版タイプ VoR
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