Results 1 to 10 of about 809 (98)

Beech Leaf Disease Associated With Changes in Litter Decomposition and Fungal Communities [PDF]

Ecology and Evolution
Forest pests and diseases may indirectly drive critical shifts in rates of litter decomposition, ultimately impacting carbon and nutrient cycling.
Brianna L. Shepherd, Sarah R. Carrino‐Kyker, David M. Jenkins, David J. Burke, Katharine L. Stuble   +4 more
doaj   +3 more sources

Cellular insights of beech leaf disease reveal abnormal ectopic cell division of symptomatic interveinal leaf areas. [PDF]

PLoS ONE, 2023
The beech leaf disease nematode, Litylenchus crenatae subsp. mccannii, is recognized as a newly emergent nematode species that causes beech leaf disease (BLD) in beech trees (Fagus spp.) in North America.
Paulo Vieira, Mihail R Kantor, Andrew Jansen, Zafar A Handoo, Jonathan D Eisenback   +4 more
doaj   +4 more sources

Beech Leaf Disease Severity Affects Ectomycorrhizal Colonization and Fungal Taxa Composition [PDF]

Journal of Fungi, 2023
Beech leaf disease (BLD) is an emerging forest infestation affecting beech trees (Fagus spp.) in the midwestern and northeastern United States and southeastern Canada.
Claudia Bashian-Victoroff, Alexis Brown, Andrew L. Loyd, Sarah R. Carrino-Kyker, David J. Burke   +4 more
doaj   +2 more sources

Physiological impacts of beech leaf disease across a gradient of symptom severity among understory American beech

Frontiers in Forests and Global Change, 2023
Beech leaf disease (BLD) damage is associated with the parasitic nematode Litylenchus crenatae ssp. mccannii. Foliar symptoms manifest as darkened or chlorotic galls in the interveinal portions in the leaf, which become leathery and crinkled under high ...
Cameron D. McIntire
doaj   +3 more sources

Rapid detection of the beech leaf nematode, Litylenchus crenatae using recombinase polymerase amplification assay with lateral flow dipsticks. [PDF]

PLoS ONE
Beech leaf nematode, Litylenchus crenatae, is the causal agent of beech leaf disease (BLD), a condition characterized by interveinal dark-green banding, leaf thickening, bud abortion, and potentially tree mortality.
Mihail Kantor, Sergei A Subbotin
doaj   +2 more sources

Enhanced acid fuchsin staining for visualization of foliar nematodes using brightfield and fluorescence microscopy [PDF]

Journal of Nematology
Foliar nematodes are economically important plant pathogens affecting a wide range of hosts, including food crops, ornamentals, and forest trees. Among these, Litylenchus crenatae (family Anguinidae), the causal agent of beech leaf disease (BLD), poses a
Vieira Paulo, Waldo Benjamin D., Wolf Emily   +2 more
doaj   +2 more sources

Beech leaf disease symptom detection using deep learning and computer vision tools [PDF]

Journal of Nematology
Beech leaf disease (BLD) has rapidly emerged as a significant threat to forests across the eastern United States and Canada, and early detection is a major challenge.
Waldo Benjamin D., Vieira Paulo, Borden Matthew A., Li Shiguang   +3 more
doaj   +2 more sources

Deciphering the vectors: Unveiling the local dispersal of Litylenchus crenatae ssp. mccannii in the American beech (Fagus grandifolia) forest ecosystem. [PDF]

PLoS ONE
Beech leaf disease (BLD), caused by the Litylenchus crenatae ssp. mccannii (Lcm) nematode, is an emerging threat to beech trees. This disease is characterized by distinct leaf symptoms, including leaf interveinal banding and thickened leaf texture, which
Mankanwal Goraya, Camelia Kantor, Paulo Vieira, Danielle Martin, Mihail Kantor   +4 more
doaj   +2 more sources

Developing Fluopyram as a Tool to Combat Beech Leaf Disease in Managed Landscapes and Nurseries [PDF]

Journal of Nematology
Beech leaf disease (BLD), caused by the anguinid nematode Litylenchus crenatae mccannii (Lcm), has recently emerged as a severe threat to beech trees (Fagus spp.) in eastern North America. In response, the scientific community has accelerated research on
Borden Matthew A., Vieira Paulo, Littlejohn Caitlin, Zack Jacob, Sherwood Michael, Stiller Amber, Fite Kelby, Loyd Andrew L.   +7 more
doaj   +2 more sources

A combined approach for early in-field detection of beech leaf disease using near-infrared spectroscopy and machine learning

Frontiers in Forests and Global Change, 2022
The ability to detect diseased trees before symptoms emerge is key in forest health management because it allows for more timely and targeted intervention.
Carrie J. Fearer, Anna O. Conrad, Robert E. Marra, Caroline Georskey, Caterina Villari, Jason Slot, Pierluigi Bonello   +6 more
doaj   +3 more sources