Results 41 to 50 of about 4,378 (202)

Fast Phenomics in Vineyards: Development of GRover, the Grapevine Rover, and LiDAR for Assessing Grapevine Traits in the Field

Sensors, 2018
This paper introduces GRover (the grapevine rover), an adaptable mobile platform for the deployment and testing of proximal imaging sensors in vineyards for the non-destructive assessment of trunk and cordon volume and pruning weight.
Matthew H. Siebers, Everard J. Edwards, Jose A. Jimenez-Berni, Mark R. Thomas, Michael Salim, Rob R. Walker   +5 more
doaj   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

Photothermal Integration of Multi-Spectral Imaging Data via UAS Improves Prediction of Target Traits in Oat Breeding Trials

Agronomy
The modelling and prediction of important agronomic traits using remotely sensed data is an evolving science and an attractive concept for plant breeders, as manual crop phenotyping is both expensive and time consuming. Major limiting factors in creating
David Evershed, Jason Brook, Sandy Cowan, Irene Griffiths, Sara Tudor, Marc Loosley, John H. Doonan, Catherine J. Howarth   +7 more
doaj   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

A Novel Homozygous Nonsense Variant in DCHS1 in a Brazilian Patient With Van Maldergem Syndrome Type 1: Clinical Report and Literature Review

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Van Maldergem syndrome (VMLDS) is an ultra‐rare autosomal recessive disorder characterized by craniofacial dysmorphism, intellectual disability, hypotonia, skeletal anomalies, and feeding difficulties. It is caused by biallelic variants in DCHS1 or FAT4 genes.
Gabriela Roldão Correia‐Costa, Bruna Fagundes Rodrigues Alaite, Vera Lúcia Gil‐da‐Silva‐Lopes, Carlos Eduardo Steiner, Társis Paiva Vieira   +4 more
wiley   +1 more source

C4 rice: a challenge for plant phenomics

Functional Plant Biology, 2009
There is now strong evidence that yield potential in rice (Oryza sativa L.) is becoming limited by ‘source’ capacity, i.e. photosynthetic capacity or efficiency, and hence the ability to fill the large number of grain ‘sinks’ produced in modern varieties.
Furbank, Robert Thomas, von Caemmerer, Susanne, Sheehy, John, Edwards, Gerald   +3 more
openaire   +3 more sources

NETosis in the Kidney, Liver, and Lung of Mice With Cecal Ligation and Puncture‐Induced Sepsis and the Ameliorating Effects of Adipose‐Derived Stem Cell Exosomes

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Sepsis‐induced organ failure involves dysregulated neutrophil responses, including neutrophil extracellular trap (NET) formation, via NETosis. Exosomes generated from adipose‐derived stem cells (ADSCs) have shown potential in sepsis treatment. This study characterized organ‐specific NETosis in the kidney, liver, and lungs using a murine cecal ...
Shao‐Chun Wu, Tsu‐Hsiang Lu, Yi‐Chan Wu, Chia‐Wei Lin, Chia‐Wen Tsai, Ching‐Hua Hsieh   +5 more
wiley   +1 more source

Functional phenotyping: Understanding the dynamic response of plants to drought stress

Current Plant Biology
Drought stress, exacerbated by climate change, presents a critical global challenge characterized by increasingly severe and prolonged dehydration events.
Sheikh Mansoor, Yong Suk Chung
doaj   +1 more source

Mind(the)Plant: An expandable multimodal facility for the integrated characterization of plant behaviour

Methods in Ecology and Evolution, EarlyView.
Abstract Understanding plant behaviour requires the integration of multiple phenotypic and physiological signals measured over time under controlled conditions. However, different plant signals are typically studied using separate experimental setups, limiting temporal alignment and integrative analyses.
Valentina Simonetti, Bianca Bonato, Silvia Guerra, Sara Avesani, Luca Semenzato, Maria Bulgheroni, Gabriela Gjinaj, Laura Ravazzolo, Marco Dadda, Umberto Castiello   +9 more
wiley   +1 more source

Field-measured canopy height may not be as accurate and heritable as believed: evidence from advanced 3D sensing

Plant Methods, 2023
Highlights The effects of canopy height, leaf area index, and growth stage on the accurate monitoring of canopy height with different 3D sensors were systematically evaluated. Field-measured canopy height may not be as accurate as believed, especially in
Jingrong Zang, Shichao Jin, Songyin Zhang, Qing Li, Yue Mu, Ziyu Li, Shaochen Li, Xiao Wang, Yanjun Su, Dong Jiang   +9 more
doaj   +1 more source