Rhizosphaera oudemansii (Sphaeropsidales) associated with a needle cast of Spanish Abies pinsapo

1983 ◽  
Vol 83 (3) ◽  
pp. 175-182 ◽  
Author(s):  
A. T. Mart�nez ◽  
C. Ram�rez
Keyword(s):  
Needle Cast ◽  
Abies Pinsapo

scholarly journals Persistence of the Swiss Needle Cast Outbreak in Oregon Coastal Douglas-Fir and New Insights from Research and Monitoring

2021 ◽  
Author(s):  
David C Shaw ◽  
Gabriela Ritóková ◽  
Yung-Hsiang Lan ◽  
Doug B Mainwaring ◽  
Andrew Russo ◽  
...  
Keyword(s):  
Climate Change ◽  
Regional Scale ◽  
Emerging Diseases ◽  
Douglas Fir ◽  
Landscape Patterns ◽  
Needle Cast ◽  
Plantation Management ◽  
Environmental Controls ◽  
Swiss Needle Cast ◽  
Improvement Programs

Abstract Swiss needle cast (SNC), caused by Nothophaeocryptopus gaeumannii, is a foliage disease of Douglas-fir (Pseudotsuga menziesii), that reduces growth in native stands and exotic plantations worldwide. An outbreak of SNC began in coastal Oregon in the mid-1990s and has persisted since that time. Here we review the current state of knowledge after 24 years of research and monitoring, with a focus on Oregon, although the disease is significant in coastal Washington and has recently emerged in southwestern British Columbia. We present new insights into SNC distribution, landscape patterns, disease epidemiology and ecology, host-pathogen interactions, trophic and hydrologic influences, and the challenges of Douglas-fir plantation management in the presence of the disease. In Oregon, the SNC outbreak has remained geographically contained but has intensified. Finally, we consider the implications of climate change and other recently emerged foliage diseases on the future of Douglas-fir plantation management. Study Implications: Douglas-fir tree growers need to consider Swiss needle cast (SNC) and other emerging foliage diseases as SNC has not abated over the past 24 years, and along with other emerging diseases, it continues to pose a threat to Douglas-fir plantation productivity. Douglas-fir management in western Oregon remains important, such that a knowledge of disease impacts and effective silvicultural responses is key. Managers should carefully consider whether alternative species may be ecologically or economically beneficial in some situations while tree improvement programs must continue to breed for tolerance to SNC. Research shows that regional scale foliage disease outbreaks can result in trophic cascades and hydrologic changes that affects more than just the trees. The environmental controls on the SNC epidemic imply that climate change could strongly influence future directions of the outbreak, with the greatest threats to trees at higher elevations.

Molecular detection of Phytophthora pluvialis, the causal agent of red needle cast in P. radiata

2021 ◽  
pp. 106299
Author(s):  
R.L. McDougal ◽  
L. Cunningham ◽  
S. Hunter ◽  
A. Caird ◽  
H. Flint ◽  
...  
Keyword(s):  
Molecular Detection ◽  
Causal Agent ◽  
Needle Cast ◽  
Phytophthora Pluvialis ◽  
Red Needle Cast

Managing drought-sensitive forests under global change. Low competition enhances long-term growth and water uptake in Abies pinsapo

2017 ◽  
Vol 406 ◽  
pp. 72-82 ◽  
Author(s):  
Victor Lechuga ◽  
Vinicio Carraro ◽  
Benjamín Viñegla ◽  
José Antonio Carreira ◽  
Juan Carlos Linares
Keyword(s):  
Global Change ◽  
Water Uptake ◽  
Abies Pinsapo

scholarly journals Predicting Swiss Needle Cast Disease Distribution and Severity in Young Douglas-Fir Plantations in Coastal Oregon

2003 ◽  
Vol 93 (7) ◽  
pp. 790-798 ◽  
Author(s):  
Pablo H. Rosso ◽  
Everett M. Hansen
Keyword(s):  
Prediction Model ◽  
Disease Severity ◽  
Pacific Northwest ◽  
Regression Tree ◽  
Douglas Fir ◽  
Slope Aspect ◽  
Disease Prediction ◽  
Needle Cast ◽  
Swiss Needle Cast ◽  
The Relationship

Swiss needle cast (SNC), caused by the fungus Phaeocryptopus gaeumannii, is producing extensive defoliation and growth reduction in Douglas-fir forest plantations along the Pacific Northwest coast. An SNC disease prediction model for the coastal area of Oregon was built by establishing the relationship between the distribution of disease and the environment. A ground-based disease survey (220 plots) was used to study this relationship. Two types of regression approaches, multiple linear regression and regression tree, were used to study the relationship between disease severity and climate, topography, soil, and forest stand characteristics. Fog occurrence, precipitation, temperature, elevation, and slope aspect were the variables that contributed to explain most of the variability in disease severity, as indicated by both the multiple regression (r 2 = 0.57) and regression tree (RMD = 0.27) analyses. The resulting regression model was used to construct a disease prediction map. Findings agree with and formalize our previous understanding of the ecology of SNC: warmer and wetter conditions, provided that summer temperatures are relatively low, appear to increase disease severity. Both regression approaches have characteristics that can be useful in helping to improve our understanding of the ecology of SNC. The prediction model is able to produce a continuous prediction surface, suitable for hypothesis testing and assisting in disease management and research.

scholarly journals How to Prevent Leaving "Needle Cast" or "Cement Tail" in Vertebroplasty and Kyphoplasty

2012 ◽  
Vol 13 (5) ◽  
pp. 665 ◽  
Author(s):  
Hui-Lin Yang ◽  
Zhi-Yong Sun ◽  
Hong-Tao Zhang ◽  
Xiao-Yu Zhu ◽  
Kang-Wu Chen ◽  
...  
Keyword(s):  
Needle Cast
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