Plant Phenomics | 基于光流法分析水分脅迫條件下番茄葉片萎蔫與莖直徑變化的關(guān)系

Optical Flow-Based Analysis of the Relationships between Leaf Wilting and Stem Diameter Variations in Tomato Plants

Kazumasa Wakamori and Hiroshi Mineno

https://doi.org/10.34133/2019/9136298

 

Plant Phenomics | 利用體內(nèi)表型分析進(jìn)行番茄干旱脅迫的早期檢測(cè)

In Vivo Phenotyping for the Early Detection of Drought Stress in Tomato

Michela Janni, Nicola Coppede, Manuele Bettelli, et al.

https://doi.org/10.34133/2019/6168209

 

新方法！預(yù)測(cè)蕓薹屬植物花期耐熱抗旱性的無(wú)損表型測(cè)量方法 | Article

Nondestructive Phenomic Tools for the Prediction of Heat and Drought Tolerance at Anthesis in Brassica Species

Sheng Chen, Yiming Guo, Xavier Sirault, et al.

https://doi.org/10.34133/2019/3264872

 

來(lái)陣風(fēng)，就知道！一種植物無(wú)損快速振動(dòng)表型分析方法 | Aticle

Nondestructive and Fast Vibration Phenotyping of Plants

E. de Langre, O. Penalver, P. Hémon, et al.

https://doi.org/10.34133/2019/6379693

 

利用機(jī)器視覺(jué)量化葡萄白粉病嚴(yán)重程度的高通量表型系統(tǒng) | PPhenomics Article

A High-Throughput Phenotyping System Using Machine Vision to Quantify Severity of Grapevine Powdery Mildew

Andrew Bierman, Tim LaPlumm, Lance Cadle-Davidson, et al.

https://doi.org/10.34133/2019/9209727

 

Plant Phenomics | 潛在空間表型：用于抗性研究的自動(dòng)化圖像表型

Latent Space Phenotyping: Automatic Image-Based Phenotyping for Treatment Studies

Jordan Ubbens, Mikolaj Cieslak, Przemyslaw Prusinkiewicz, Isobel Parkin,  Jana Ebersbach,  and Ian Stavness

https://doi.org/10.34133/2020/5801869

 

Plant Phenomics | 使用高通量表型技術(shù)評(píng)估擬南芥中熱應(yīng)激誘導(dǎo)造成的變化

The Use of High-Throughput Phenotyping for Assessment of Heat Stress-Induced Changes in Arabidopsis 

Gao G, Tester MA, Julkowska MM

https://doi.org/10.34133/2020/3723916

 

Plant Phenomics | 一種基于半監(jiān)督學(xué)習(xí)的深度狀態(tài)空間模型在植物生長(zhǎng)建模中的應(yīng)用研究

Semisupervised Deep State-Space Model for Plant Growth Modeling

Shibata S, Mizuno R, Mineno 

Htps://doi.org/10.34133/2020/4261965

 

Plant Phenomics | 使用基于圖像的表型分析法評(píng)估和映射葡萄顏色

Evaluating and Mapping Grape Color Using Image-Based Phenotyping

Underhill AN, Hirsch CD, Clark MD

https://doi.org/10.34133/2020/8086309

 

Plant Phenomics | 對(duì)比無(wú)人車(chē)(UGV)和無(wú)人機(jī)(UAV)表型系統(tǒng)評(píng)估甜菜褐斑病的病害等級(jí)

Scoring Cercospora Leaf Spot on Sugar Beet: Comparison of UGV and UAV Phenotyping Systems

Jay S, Comar A, Benicio R, et al.

https://doi.org/10.34133/2020/9452123

 

Plant Phenomics | 浙江大學(xué)黃敬峰教授課題組提出了一種基于地面遙感延時(shí)圖像的咖啡花識(shí)別方法

Coffee Flower Identification Using Binarization Algorithm Based on Convolutional Neural Network for Digital Images

Wei P, Jiang T, Peng H, et al.

https://doi.org/10.34133/2020/6323965

 

Plant Phenomics | 上海理工大學(xué)莊松林院士團(tuán)隊(duì)開(kāi)發(fā)了一種基于西洋參標(biāo)志物F11的無(wú)損快速分析方法

Terahertz Spectroscopy for Accurate Identification of Panax quinquefolium Basing on Nonconjugated 24(R)-Pseudoginsenoside F11

Kou T, Ye J, Wang J, et al.

https://doi.org/10.34133/2021/6793457

 

Plant Phenomics | 對(duì)大田和溫室栽培莧菜的光合表型、感官和品種界限的分析

Photosynthetic Phenomics of Field- and Greenhouse-Grown Amaranths vs. Sensory and Species Delimits

Sooriyapathirana SDSS, Ranaweera LT, Jayarathne HSM, et al.

https://doi.org/10.34133/2021/2539380

 

Plant Phenomics | 對(duì)八倍體草莓形態(tài)的自動(dòng)化表型和遺傳分析

Automatic Fruit Morphology Phenome and Genetic Analysis: An Application in the Octoploid Strawberry

Zingaretti LM, Monfort A, Pérez-Enciso M

https://doi.org/10.34133/2021/9812910

 

About Plant Phenomics

《植物表型組學(xué)》（Plant Phenomics）是由南京農(nóng)業(yè)大學(xué)和美國(guó)科學(xué)促進(jìn)會(huì)（AAAS）合作創(chuàng)辦的英文學(xué)術(shù)期刊，于2019年1月正式上線發(fā)行，是Science合作出版的第二本期刊。采用開(kāi)放獲取形式，刊載植物表型組學(xué)交叉學(xué)科熱點(diǎn)領(lǐng)域具有突破性科研進(jìn)展的原創(chuàng)性研究論文、綜述、數(shù)據(jù)集和觀點(diǎn)。具體范圍涵蓋高通量表型分析的最新技術(shù)，基于圖像分析和機(jī)器學(xué)習(xí)的表型分析研究，提取表型信息的新算法，作物栽培、植物育種和農(nóng)業(yè)實(shí)踐中的表型組學(xué)新應(yīng)用，與植物表型相結(jié)合的分子生物學(xué)、植物生理學(xué)、統(tǒng)計(jì)學(xué)、作物模型和其他組學(xué)研究，表型組學(xué)相關(guān)的植物生物學(xué)等。期刊已被DOAJ、Scopus、PMC、EI和SCIE等數(shù)據(jù)庫(kù)收錄。

說(shuō)明：本文由《植物表型組學(xué)》編輯部負(fù)責(zé)組稿。

中文內(nèi)容僅供參考，一切內(nèi)容以英文原版為準(zhǔn)。

編輯：張威（實(shí)習(xí)）

審核：卞越、孔敏