Results 171 to 180 of about 79,045 (299)

UAV‐based deep transfer learning to improve grain yield prediction in winter wheat across temporal and spatial variability

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal   +8 more
wiley   +1 more source

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

open access: yesThe 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   +6 more
wiley   +1 more source

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

open access: yesThe 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   +4 more
wiley   +1 more source

Multifactorial Role of Phytogenic CeO2 NPs in Crop Improvement and Stress Alleviation: A Mechanistic Overview

open access: yesPlant-Environment Interactions, Volume 7, Issue 5, October 2026.
The graphical abstract illustrates how CeO2 nanoparticles help plants withstand biotic and abiotic stresses. Their application reduces excessive ROS through enhanced antioxidant defenses, whereas modulating stress signaling, phytohormones, and gene expression.
Faiza Arooj   +6 more
wiley   +1 more source

Identification and fine mapping of a locus controlling multi-main-stem trait in Brassica napus. [PDF]

open access: yesBMC Plant Biol
Li X   +9 more
europepmc   +1 more source

Nutritional composition of pollen stores in managed bees across European agro‐ecosystems reveals species‐specific differences but limited pesticide effects

open access: yesEcological Entomology, Volume 51, Issue 5, Page 853-865, October 2026.
In the pollen stores of three bee species deployed across 128 European sites, bumble bees harboured lower lipid content and higher protein‐to‐lipid ratios than honey bees and mason bees. Toxicity‐weighted pesticide risk did not alter protein‐to‐lipid ratios, but higher risk was associated with reduced protein and lipid content in the pollen stores of ...
Antoine Gekière   +34 more
wiley   +1 more source

Brassica napus

open access: yes
Family name (scientific): Brassicaceae Scientific name: Brassica napus Authors names: L.

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