Results 121 to 130 of about 2,457,508 (205)

High‐throughput unmanned aerial vehicle phenomics and machine learning enables accurate early single‐plant biomass prediction in lettuce

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Lettuce (Lactuca sativa L.) exhibits pronounced genotype and environment‐dependent growth variation, making early, non‐destructive single‐plant biomass prediction critical for breeding. However, harvest‐based measurements fail to capture growth dynamics.
Görkem Eren Özdemir, Ahmet Rıza Ağır, Burak Aktürk, Nida Selen Baysal, Adem Dogan, Aaron J. DeSalvio, Mustafa A. Arik, Yasin Topcu, Alper Adak   +8 more
wiley   +1 more source

Evaluation of uncrewed aerial system‐derived vegetation indices for forage trait phenomic prediction in oat–pea intercrop breeding trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accelerating genetic gain in intercrop forage breeding requires scalable phenotyping approaches that can capture both yield and quality variation across complex genotype combinations. This study evaluated the use of uncrewed aerial system (UAS)‐derived multispectral vegetation indices (VIs) for predicting forage yield and nutritive quality in ...
Milcah Kigoni, Raysa Gevartosky, Lucas B. Munaro, Tim Mies, Luis Gehrke, Jessica Rutkoski, Juan David Arbelaez   +6 more
wiley   +1 more source

Planteye Chickpea APPN demonstration data

Sixty pots for chickpeas with heated treatment including optimum temperature and high temperature (30 Deg Celsius). Raw PLY data format. This dataset was generated using the Phenospex Planteye at S42 Glasshouse at Australian Plant Phenomics Network ...

core   +1 more source

Application of Omics Technologies for Cowpea Improvement

Plant-Environment Interactions, Volume 7, Issue 5, October 2026.
ABSTRACT Cowpea (Vigna unguiculata) is a vital crop for food security, nutrition, and climate resilience in sub‐Saharan African and other semi‐arid regions. However, its improvement is constrained by the complexity of polygenic traits such as drought tolerance, pest resistance, and seed quality.
Junior S. Kamara, Festus O. Olasupo, Abdoul‐Razak Oumarou Mahamane, Katleho S. Selele   +3 more
wiley   +1 more source

APPF-UQ The Australian Plant Phenomics Facility

The Australian Plant Phenomics Facility (APPF) is a world-leading infrastructure facility funded by NCRIS that underpins innovative plant phenomics research to accelerate the development of new and improved crops, healthier food and more sustainable ...

core  

FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping

Plant, Cell &Environment, Volume 49, Issue 10, Page 7714-7726, October 2026.
ABSTRACT Stomatal anatomy and physiology define CO2 availability for photosynthesis and regulate plant water use. Despite being key drivers of yield and dynamic responsiveness to abiotic stresses, conventional measurement techniques of stomatal traits are laborious and slow, limiting adoption in plant breeding.
Edward Chaplin, Guy Coleman, Andrew Merchant, William Salter   +3 more
wiley   +1 more source

Photovoltaic Stimulation of Mouse and Pig Retina With Pyrolytic Carbon Microelectrodes Integrated on High‐Density Silicon Solar Cell Arrays

Advanced Healthcare Materials, Volume 15, Issue 36, 25 September 2026.
In this study, we fabricate photovoltaic retinal implants with pyrolytic carbon electrodes and test their ability to stimulate mouse and pig retinas when illuminated with near‐infrared light. We find increased spiking activity in both animal models compared to spontaneous activity and TTX controls and analyze the spike amplitude, latency and frequency.
Akihiro Matsumoto, Pratik Kusumanchi, Jesper Guldsmed Madsen, Asbjørn Cortnum Jørgensen, Gisele Alves dos Reis Benatto, Sune Thorsteinsson, Peter Behrensdorff Poulsen, Keisuke Yonehara, Toke Bek, Stephan Sylvest Keller, Rasmus Schmidt Davidsen   +10 more
wiley   +1 more source

ARADEEPOPSIS, an Automated Workflow for Top-View Plant Phenomics using Semantic Segmentation of Leaf States. [PDF]

Plant Cell, 2020
Hüther P, Schandry N, Jandrasits K, Bezrukov I, Becker C.   +4 more
europepmc   +1 more source

The Spatiotemporal Genetic Architecture of Seed Vigor in Upland Cotton

Advanced Science, Volume 13, Issue 50, 7 September 2026.
Leveraging the semi‐automated SeedRanger platform, we profiled the germination kinetics of 356 cotton accessions at a 30‐min interval. This high‐throughput phenomic approach delineated a temporal genetic network comprising 541 stage‐specific loci. Crucially, functional validation identified FLA2 as a pivotal, auxin‐modulated regulator that orchestrates
Luyao Wang, Jie Dai, Ting Zhao, Shengjun Zhao, Hongyu Wu, Jiaying Pan, Yupeng Hao, Ke Nie, Li Yu, Yumeng Zhu, Xiangyi Zhao, Kai Huang, Mengke Zhang, Yongyan Zhao, Yaping Jiang, Siyuan Wang, Yiling Pan, Yubing Chen, Yilai Lin, Wanghong Shi, Yayuan Deng, Jin Han, Jie Li, Xuan Long, Junbin Wang, Zhiyuan Zhang, Zegang Han, Zhanfeng Si, Lei Ju, Jun Li, Tianzhen Zhang, Ji Zhou, Xueying Guan   +32 more
wiley   +1 more source

Genotype selection in soybean using WAASB and MTSI for seed yield, composition, and fatty acid profiles under irrigated and rainfed conditions

Agrosystems, Geosciences &Environment, Volume 9, Issue 3, September 2026.
Abstract Soybean (Glycine max) seed yield and quality are strongly affected by drought, particularly during reproductive stages. We evaluated 22 genotypes under irrigated and rainfed conditions across three Missouri environments (2023–2024) for seed yield, 100 seed weight, protein, oil, and five fatty acids. Mixed models were used to partition genotype,
Francia Ravelombola, Harmeet Singh‐Bakala, Cheryl Adeva, Maiara de Oliveira, Destiny Hunt, Ben Fallen, Grover Shannon, Feng Lin   +7 more
wiley   +1 more source