Results 51 to 60 of about 4,964 (232)

Connecting plant phenotyping and modelling communities: lessons from science mapping and operational perspectives [PDF]

, 2022
International audiencePlant phenotyping platforms generate large amounts of high-dimensional data at different scales of plant organization. The possibility to use this information as inputs of models is an opportunity to develop models that integrate ...
Cabrera-Bosquet, Llorenç, Saint Cast, Clément, Tardieu, Francois, Lobet, Guillaume, Draye, Xavier, Pradal, Christophe, Couvreur, Valentin   +6 more
core   +1 more source

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

Plant phenome to genome: a mini-review [PDF]

Functional Plant Biology, 2012
Rapid advances in biotechnologies have provided a template for defining the genome–transcriptome–proteome in many plant species and these advances now highlight a particular challenge to link the molecular biology–based studies to changes in the phenome of plant species.
openaire   +2 more sources

Phenospex Plant Data for Investigating Nitrogen use Under Urease Inhibitor Treatment [PDF]

The objective of the dataset is to determine whether novel urease inhibitors influence plant development and productivity, and to assess the potential of high-throughput phenomics techniques in validating phenotypic traits for predicting nitrogen ...

core   +1 more source

Critical Evaluation of the Cgrain Value™ as a Tool for Rapid Morphometric Phenotyping of Husked Oat (Avena sativa L.) Grains

Seeds
Mechanised non-contact, non-destructive imaging methodologies have revolutionised plant phenotyping, increasing throughput well beyond what was possible using traditional manual methods.
David Evershed, Eamon J. Durkan, Rachel Hasler, Fiona Corke, John H. Doonan, Catherine J. Howarth   +5 more
doaj   +1 more source

The Spatiotemporal Genetic Architecture of Seed Vigor in Upland Cotton

Advanced Science, EarlyView.
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

Proximal hyperspectral sensing and data analysis approaches for field-based plant phenomics [PDF]

, 2015
Field-based plant phenomics requires robust crop sensing platforms and data analysis tools to successfully identify cultivars that exhibit phenotypes with high agronomic and economic importance.
Andrade-Sanchez, P., White, J. W., Welch, S. M., French, A. N., Thorp, K. R., Gore, M. A., Carmo-Silva, A. E.   +6 more
core   +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

DDSurfer: A Weakly‐Supervised Dual‐Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI

Advanced Science, EarlyView.
DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li, Wei Zhang, Xi Zhu, Yuqian Chen, Nir A. Sochen, Jarrett Rushmore, Carl‐Fredrik Westin, Yogesh Rathi, Lauren J. O'Donnell, Ofer Pasternak, Fan Zhang   +10 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