Results 231 to 240 of about 186,381 (281)

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan, Valerio Hoyos‐Villegas   +1 more
wiley   +1 more source

Differential Responses of Flowering Functional Groups to Species Loss Altered Community Flowering-Date Synchrony and Reduced Temporal Stability in an Alpine Meadow. [PDF]

Plants (Basel)
Liu P, Xiong S, Chen J, Dai W.
europepmc   +1 more source

AGIcam: An open‐source Internet of Things–based camera system for automated in‐field phenotyping and yield prediction

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan, Nisit Pukrongta, Trevor Buchanan, Arron H. Carter, Michael O. Pumphrey, Sindhuja Sankaran   +5 more
wiley   +1 more source

Bayesian optimized color filter: A fast method for segmentation of plant phenotypes from 3D point cloud images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Multispectral three‐dimensional (3D) imaging offers substantial potential for plant phenotyping, yet manual segmentation of plant organs remains a bottleneck in breeding programs. We developed a color‐based filtering workflow for faba bean (Vicia faba L.) point clouds that optimizes lower and upper thresholds of spectral indices and broadband ...
Lennart Scheer, Benjamin Wittkop, Andreas Stahl, Olaf Sass, Gregor Welna, Hanna Tietgen, Rod J. Snowdon   +6 more
wiley   +1 more source

Canola yield prediction and genotype selection using uncrewed aerial system multispectral imagery and machine learning models

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Evaluation and selection of canola breeding lines across multiple years and locations are vital for variety development. However, accurately measuring canola (Brassica napus L.) yield under field conditions is challenging due to end‐of‐season events such as rain, windstorms, and hail, as well as variability in plant maturity and pod shattering.
Mohammad Jony, Cristhian Perdigon, Md Fahad Hasan, Paulo Flores, Mukhlesur Rahman   +4 more
wiley   +1 more source

Smartphone‐based proximal sensing as an accessible platform for improved physiological phenotyping

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract We tested whether smartphone‐based sensing could deliver accurate physiological traits in an accessible and low‐cost platform. A smartphone, carried by someone walking through a field, was used to generate a high‐resolution time series of images for 10 genotypes of cowpea (Vigna unguiculata L. Walp.).
Isaac K. Uyehara, Jonathan M. Berlingeri, Sassoum Lo, Margaret Riggs, Riya Desai, Kyle T. Rizzo, J. Mason Earles, Christine H. Diepenbrock, Brian N. Bailey   +8 more
wiley   +1 more source

Genetic interactions among flowering loci influence phenology, vigour, and yield in chickpea. [PDF]

Mol Breed
Martinez RO, Lake L, Hayes JE, Weller JL, French R, Sadras VO.   +5 more
europepmc   +1 more source

Climate change shifts almond bloom dates in Afghanistan. [PDF]

Int J Biometeorol
Shinwari A, Caspersen L, Schiffers K, Luedeling E.   +3 more
europepmc   +1 more source

Gibberellin-Induced Early Flowering of <i>Cnidium monnieri</i> Advances the Arrival of Natural Enemies and Increases Their Abundance in Wheat Fields. [PDF]

Plants (Basel)
Jiang X, Wang Y, Han G, Gong G, Ge F, Zhang X.   +5 more
europepmc   +1 more source