Results 131 to 140 of about 83,388 (292)

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

The 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, Mohammad Maruf Billah, Mandeep Singh, Dante Koupal, Pradeep Raj Sitaula, Jyotirmoy Halder, Jagdeep Sidhu, Maitiniyazi Maimaitijiang, Sunish K. Sehgal   +8 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

Phenomic prediction I: Plot‐level prediction of lodging severity in sorghum breeding trials using UAV‐based photogrammetric height data

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Lodging in sorghum (Sorghum bicolor (L.) Moench) presents a significant challenge for plant breeders due to the trade‐off between lodging resistance and grain yield. Manually measuring lodging across thousands of plots is time‐consuming, expensive, and error‐prone, making selection for lodging resistance challenging in breeding programs ...
Srinivasa Reddy Mothukuri, Sean Reynolds Massey‐Reed, Andries Potgieter, Kenneth Laws, Colleen Hunt, Esinam Nancy Amuzu‐Aweh, Mark Cooper, Emma Mace, David Jordan   +8 more
wiley   +1 more source

Introgression of Herbicide-Resistant Gene from Genetically Modified Brassica napus L. to Brassica rapa through Backcrossing

Plants
Interspecific hybridization between two different Brassicaceae species, namely Brassica rapa ssp. pekinensis (♀) (AA, 2n = 2x = 20) and genetically modified Brassica napus (♂) (AACC, 2n = 4x = 38), was performed to study the transmission of a herbicide ...
Subramani Pandian, Young-Sun Ban, Eun-Kyoung Shin, Senthil Kumar Thamilarasan, Muthusamy Muthusamy, Young-Ju Oh, Ho-Keun An, Soo-In Sohn   +7 more
doaj   +1 more source

Brassica napus subsp. napobrassica Linnaeus 1753

, 2007
Brassica oleracea Linnaeus var. napobrassica Linnaeus, Species Plantarum 2: 667. 1753. RCN: 4854. Neotype (Oost & al. in Bot. J. Linn. Soc. 101: 344, f. 11. 1989): [icon] “Napus” in Mattioli, Pl. Epit.: 222. 1586.
Jarvis, Charlie
core   +1 more source

Advancing Sclerotinia risk forecasting for winter rapeseed in Germany: integrating crop phenology and disease development into a decision support system

Pest Management Science, Volume 82, Issue 11, Page 10828-10840, November 2026.
Integrating crop phenology and sclerotia germination models into SkleroPro improved Sclerotinia risk prediction accuracy from 34% to 66%, optimizing fungicide timing and supporting sustainable winter rapeseed production. Abstract BACKGROUND Sclerotinia stem rot, caused by Sclerotinia sclerotiorum, threatens winter rapeseed (Brassica napus) production ...
Vera Krause, Nazanin Zamani‐Noor, Lena Müller, Hella Kehlenbeck, Anto Raja Dominic   +4 more
wiley   +1 more source

Sensitivity of Irish Pyrenopeziza brassicae populations to methyl benzimidazole carbamate (MBC), quinone outside inhibitor (QoI) and succinate dehydrogenase inhibitor (SDHI) fungicides

Pest Management Science, Volume 82, Issue 11, Page 10818-10827, November 2026.
For three collections of Irish Pyrenopeziza brassicae populations fungicide sensitivity status to methyl benzimidazole carbamate (MBC), quinone outside inhibitor (QoI) and succinate dehydrogenase inhibitor (SDHI) fungicides was determined using sensitivity screening in vitro. Molecular mechanisms of insensitivity have been identified for MBC and QoI in
Diana E Bucur, Yong‐Ju Huang, Bruce DL Fitt, Steven Kildea   +3 more
wiley   +1 more source

The Root Development Genes (RDGs) Network in Brassica napus and the Role of BnaSHR-6 in Response to Low Nitrogen

Plants
The root system is vital for Brassica napus water/nutrient uptake and anchorage, highlighting the importance of identifying root development genes (RDGs). In this study, we identified 218 RDGs in B. napus through homology-based retrieval.
Xingying Chen, Sining Zhou, Shuang Ye, Zhuo Chen, Zexuan Wu, Shiying Liu, Liping Hu, Xiwen Yang, Xiaoya Yang, Peiji He, Xingzhi Qian, Huafang Wan, Ti Zhang, Nengwen Ying, Huiyan Zhao, Jiana Li, Cunmin Qu, Hai Du   +17 more
doaj   +1 more source

Combined effects of canola plant density and insecticide management strategies on flea beetle abundance, canola defoliation, and yield across the Canadian prairies

Pest Management Science, Volume 82, Issue 11, Page 10648-10657, November 2026.
Increasing canola plant density reduced flea beetle abundance per plant and increased yield, independent of region or insecticide use, highlighting its potential as a component of integrated pest management. Abstract The crucifer flea beetle, Phyllotreta cruciferae (Goeze), and the striped flea beetle, Phyllotreta striolata (Fabricius) (Coleoptera ...
Shayla Woodland, Héctor A Cárcamo, Tyler Wist, Jennifer Otani, John Gavloski, Rob W Duncan, Tharshinidevy Nagalingam, Alejandro C Costamagna   +7 more
wiley   +1 more source