Results 231 to 240 of about 213,849 (296)

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

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

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

Root and shoot phenotyping elucidate plant growth‐promoting microorganisms effects on wheat under water deficit

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water scarcity represents a major constraint to crop productivity, increasing interest in sustainable strategies such as plant growth‐promoting microorganisms (PGPM). This study investigated the effects of a commercial PGPM consortium, composed of four Bacillus spp.
Christian Lorenz, Lamis Abdelhakim, Carmen Arena, Klára Panzarová   +3 more
wiley   +1 more source

High‐throughput unmanned aerial vehicle phenomics and machine learning enables accurate early single‐plant biomass prediction in lettuce

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Lettuce (Lactuca sativa L.) exhibits pronounced genotype and environment‐dependent growth variation, making early, non‐destructive single‐plant biomass prediction critical for breeding. However, harvest‐based measurements fail to capture growth dynamics.
Görkem Eren Özdemir, Ahmet Rıza Ağır, Burak Aktürk, Nida Selen Baysal, Adem Dogan, Aaron J. DeSalvio, Mustafa A. Arik, Yasin Topcu, Alper Adak   +8 more
wiley   +1 more source

High‐throughput assessment of plant stand establishment, seedling vigor, and light interception in peanut using UAV‐based RGB and multispectral imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract In peanut (Arachis hypogaea L.), plant stand establishment, seedling vigor, and canopy growth are key determinants of crop performance; yet traditional ground‐based assessment methods can be destructive, labor‐intensive, and limited in throughput.
Ved Parkash, Jessie H. Adams, Javier Rodriguez‐Sanchez, John L. Snider, Phillip L. Vines, Brian M. Schwartz, Nino Brown   +6 more
wiley   +1 more source

Early‐life stage phenomic prediction of field agronomic traits across breeding cycles in intermediate wheatgrass

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Perennial grains represent a promising frontier for sustainable agriculture, but breeding progress is constrained by the accessibility of genotyping and the difficulty of evaluating complex traits expressed for multiple years after establishment across heterogeneous environments.
Zachary N. Harris, Jackson Braley, Eric Cassetta, Jared Crain, Lee DeHaan, David Van Tassel, Allison Miller, Matthew J. Rubin   +7 more
wiley   +1 more source

Phenomic prediction of wheat yield and grain quality using multispectral, hyperspectral, and thermal imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Grain quality in durum wheat (Triticum turgidum L. subsp. durum (Desf.) Husn.) remains a major challenge for plant breeders because grain yield and grain protein concentration often show a trade‐off, and both are influenced by grain nitrogen concentration.
A. Pacheco, I. Ortiz‐Monasterio, F. A. Rodrigues Junior, M. Quemada, J. Burgueño, S. R. Mothukuri   +5 more
wiley   +1 more source

Recent Advances in Microalgae‐Based Functional Coatings and Films for Food Packaging Applications: Opportunities and Challenges

Packaging Technology and Science, Volume 39, Issue 11, Page 1377-1396, November 2026.
Microalgae‐derived bioactive compounds exhibit strong antioxidant and antimicrobial properties and can be incorporated into edible coatings to enhance food quality and shelf life. These materials offer sustainable, biodegradable alternatives to conventional packaging, with promising potential for future scalable food applications.
Madhu Gaidher, Nidhi Bhardwaj, Sachin Sharma, Akanksha Singh, Kanika Dulta, P. K. Chauhan, Pooja Yadav, Hira Iqbal, Helen Onyeaka, Soumya Ghosh   +9 more
wiley   +1 more source

Optimizing light spectra for soybean cultivation in controlled environments: Effects on plant growth, flowering, seed production, and seed quality

Annals of Applied Biology, Volume 189, Issue 3, November 2026.
Cultivating soybean in a controlled environment enables precise control of growth conditions to accelerate breeding and enhance desirable traits. This study tested four LED spectra on two soybean varieties (CZ 75 70LL and S16‐14801C). The 40B:40R:20FR spectrum increased seed number by over 10% and seed weight by 20%, while both 50B:50R and 40B:40R:20FR
Cristiane J. Da‐Silva, Cristian E. Collado, Jan Van Butsele, Ricardo Hernández   +3 more
wiley   +1 more source