Results 21 to 30 of about 5,716 (251)

Bacterial Community Structure of Pinus Thunbergii Naturally Infected by the Nematode Bursaphelenchus Xylophilus. [PDF]

open access: yesMicroorganisms, 2020
Pine wilt disease (PWD) caused by the nematode Bursaphelenchus xylophilus is a devastating disease in conifer forests in Eurasia. However, information on the effect of PWD on the host microbial community is limited. In this study, the bacterial community structure and potential function in the needles, roots, and soil of diseased pine were studied ...
Ma Y   +5 more
europepmc   +6 more sources

The key molecular pattern BxCDP1 of Bursaphelenchus xylophilus induces plant immunity and enhances plant defense response via two small peptide regions

open access: yesFrontiers in Plant Science, 2022
The migratory plant-parasitic nematode Bursaphelenchus xylophilus is the pathogen of the pine wilt disease (PWD), causing serious damage to pine forests in China.
Long-Jiao Hu   +7 more
doaj   +1 more source

Specifically expressed genes of the nematode Bursaphelenchus xylophilus involved with early interactions with pine trees. [PDF]

open access: yesPLoS ONE, 2013
As the causal agent of pine wilt disease (PWD), the pine wood nematode (PWN), Bursaphelenchus xylophilus, causes huge economic losses by devastating pine forests worldwide. However, the pathogenesis-related genes of B.
Xiuwen Qiu   +4 more
doaj   +1 more source

Pest categorisation of Sirex nitobei

open access: yesEFSA Journal, 2022
The EFSA Panel on Plant Health performed a pest categorisation of Sirex nitobei (Hymenoptera: Siricidae), the nitobe horntail, for the territory of the EU. S.
EFSA Panel on Plant Health (PLH)   +24 more
doaj   +1 more source

Effects of Selected Photoperiods and Fertilizer Rates on Growth of Pinus strobus and Pinus thunbergii Seedlings1 [PDF]

open access: hybridJournal of the American Society for Horticultural Science, 1980
Abstract Eastern white pine ( Pinus strobus L.) and Japanese black pine ( Pinus thunbergii Pari.) seedlings were grown under 4 photoperiods with 5 rates of 18N-2.6P-10.0K (18N-6P 2 0
Daniel Struve, Frank A. Blazich
openalex   +2 more sources

Effects of Fusarium circinatum on Disease Development and Gas Exchange in the Seedlings of Pinus spp.

open access: yesResearch in Plant Disease, 2011
Four-year-old seedlings of Pinus thunbergii, Pinus densiflora and Pinus rigida were inoculated with Fusarium circinatum isolate (FT-7), the pitch canker fungus, from P.
Kwan-Soo Woo   +3 more
doaj   +1 more source

Third-codon transversion rate-based _Nymphaea_ basal angiosperm phylogeny -- concordance with developmental evidence [PDF]

open access: yes, 2007
Flowering plants (angiosperms) appeared on Earth rather suddenly approximately 130 million years ago and underwent a massive expansion in the subsequent 10-12 million years.
(Max) Zong-Ming Cheng   +4 more
core   +2 more sources

A rapid staining-assisted wood sampling method for PCR-based detection of pine wood nematode Bursaphelenchus xylophilus in Pinus massoniana wood tissue [PDF]

open access: yes, 2010
For reasons of unequal distribution of more than one nematode species in wood, and limited availability of wood samples required for the PCR-based method for detecting pinewood nematodes in wood tissue of Pinus massoniana, a rapid staining-assisted wood ...
Jia, W. H.   +5 more
core   +1 more source

Commodity risk assessment of <i>Berberis thunbergii</i> plants from the UK. [PDF]

open access: yesEFSA J
Abstract The European Commission requested the EFSA Panel on Plant Health to prepare and deliver risk assessments for commodities listed in Commission Implementing Regulation (EU) 2018/2019 as ‘high risk plants, plant products and other objects’. Taking into account the available scientific information, including the technical information provided by ...
EFSA Panel on Plant Health (PLH)   +36 more
europepmc   +2 more sources

Leaf Structural Carbohydrate Decreased for Pinus thunbergii along Coast–Inland Gradients [PDF]

open access: yesForests, 2020
Although photosynthesis (carbohydrate production) decreases under wind load, it is unclear how carbohydrate categories allocation changes. We determined the leaf morphology (specific leaf area (SLA), needle thickness), anatomy (cuticle thickness, epidermal thickness), photosynthesis (effective quantum yield of Photosystem II (Y(II)), carbohydrate ...
Peng Zhang   +5 more
openaire   +1 more source

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