Results 141 to 150 of about 11,242 (213)

A DNA Barcode Reference Library of Native Seed Plants in Chinese Dryland Regions. [PDF]

Sci Data
Song F, Lian J, Liu ZL, Li XJ, Huang WD, Zhao X, Yan X, Jin L, Jin GZ, Zhao XY, Ge XJ.   +10 more
europepmc   +1 more source

Canine Leishmaniasis in Rio de Janeiro, Brazil (2000–2015): Taxonomic Characterisation of Etiological Agents and Geospatial Case Analysis

Zoonoses and Public Health, EarlyView.
ABSTRACT Introduction Canine Leishmaniasis is a vector‐borne zoonotic disease caused by several species of protozoa of the genus Leishmania. In the state of Rio de Janeiro (RJ), Leishmania braziliensis is the most prevalent species causing tegumentary leishmaniasis (TL) and Leishmania infantum is the main causative agent of visceral leishmaniasis (VL).
Luciana de Freitas Campos Miranda, Laryssa Fabiano do Rosário Coelho, Samanta Cristina das Chagas Xavier, Artur Augusto Velho Mendes Junior, Renan Nunes Albuquerque, Aline Fagundes da Silva, Andreza Pain Marcelino, Fernanda Nunes Santos, Sandro Antonio Pereira, Rodrigo Caldas Menezes, Armando de Oliveira Schubach   +10 more
wiley   +1 more source

Georeferenced checklist and occurrence dataset of slime moulds (Eumycetozoa) across Central and Eastern Europe emphasising forest ecosystems. [PDF]

Biodivers Data J
Pawłowicz T.
europepmc   +1 more source

Temporal genetic relationships between growth, development, and malting quality in winter barley (Hordeum vulgare) using aerial imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Grain characteristics are the cumulative product of growth and development throughout the growing season. In barley (Hordeum vulgare), these traits determine the grain's value for malting purposes. The ability to accurately predict the genetic merit for malting quality is of great interest for barley breeding programs. Same‐season selection on
Amelia Loeb, Felipe Sabadin, Alexis Perry, Harmonie Bettenhausen, Gina Brown‐Guedira, Jared Smith, Kimberly Howell, Jason Walling, Hannah Uhlmann, Wynse Brooks, Nicholas Santantonio   +10 more
wiley   +1 more source

Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant breeders and weed scientists address weed management collaboratively by selecting for herbicide tolerance in breeding programs. Metribuzin, a Group 5 PSII‐inhibiting herbicide, is labeled for use in wheat (Triticum aestivum L.). However, application to currently available lines results in frequent, variable, and unpredictable crop injury.
Melinda Zubrod, Andrew W. Herr, Pia M. Spychalla, Ian C. Burke, Arron H. Carter   +4 more
wiley   +1 more source

Terrestrial and Airborne Laser Scanning Dataset of Trees in the Shivalik Range, India with Field Measurements and Leaf-Wood Classifications. [PDF]

Sci Data
Ali M, Biswas A, Iglseder A, Kumar V, Kumar S, Gupta S, Hollaus M, Pfeifer N, Lohani B.   +8 more
europepmc   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Integrated meteocean and seismic dataset for AI-based seawater CO₂ estimation at Deception Island, Antarctica. [PDF]

Sci Data
Flecha S, Amaya-Vías S, Medina M, Stips A, Fraile-Nuez E, Jiménez-Morales V, Contreras-Guijarro G, Díez-Minguito M, Caballero-Martínez OA, Navarro G, Tovar-Sanchez A, Huertas IE.   +11 more
europepmc   +1 more source

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source

A Geospatial atlas of honey bee forage plants and their distribution patterns in Africa and beyond. [PDF]

Sci Rep
Nganso BT, Agboka KM, Atagong SD, Topé SF, Massing T, Landmann T, Sevgan S, Mwiza W, Odera F, Piiru ED, Otieno-Ayayo ZN, Soroker V, Guimapi RA.   +12 more
europepmc   +1 more source