Results 81 to 90 of about 4,927 (204)
Potential spread of kiwifruit bacterial canker (Pseudomonas syringaepv.actinidiae) in Europe
EPPO Bulletin, 2017 Pest risk analyses (PRAs) are conducted to determine whether an organism is a pest and whether and how it should be regulated. Estimation of the potential area of establishment and pest spread are key factors of this analysis. Tools for modelling and mapping of these key factors have to be quick and easily applicable for a wide variety of organisms ...
Wilstermann, A. +3 more
openaire +1 more source
Environmental Microbiology, Volume 27, Issue 3, March 2025.The coevolution of phages with Pseudomonas syringae on cherry leaves reduced bacterial numbers on detached leaves without resistance emerging. Field application of phages in a cherry orchard showed that phages and bacteria persisted as long as the bacterial host was present, with the plant environment limiting the emergence of phage resistant ...
Matevz Papp‐Rupar +5 more
wiley +1 more source
Molecular Plant Pathology, Volume 26, Issue 2, February 2025.A hopF1c effector loss variant has emerged in commercial kiwifruit orchards, mediated by the introduction of copper resistance elements into the population. ABSTRACT In the late 2000s, a pandemic of Pseudomonas syringae pv. actinidiae biovar 3 (Psa3) devastated kiwifruit orchards growing susceptible, yellow‐fleshed cultivars.
Lauren M. Hemara +11 more
wiley +1 more source
The ecological genetics of Pseudomonas syringae in the kiwifruit phyllosphere : a thesis submitted in partial fulfilment of the requirements for the degree of Ph.D. in Evolutionary Genetics, New Zealand Institute for Advanced Study at Massey University, Auckland, New Zealand [PDF]
, 2017 The impact of disease-causing bacteria on their hosts is shaped by interactions with co-occurring microbes, but such interactions are rarely studied. Pseudomonas syringae is a ubiquitous and significant plant pathogen infecting a wide range of plants,
Straub, Christina
core
A breach in plant defences: Pseudomonas syringae pv. actinidiae targets ethylene signalling to overcome Actinidia chinensis pathogen responses [PDF]
, 2021 8openInternationalBothEthylene interacts with other plant hormones to modulate many aspects of plant metabolism, including defence and stomata regulation. Therefore, its manipulation may allow plant pathogens to overcome the host’s immune responses. This
Biasioli, Franco +7 more
core +2 more sources
Occurrence of Kiwifruit Bacterial Canker Disease and Control by Cultivation Ope
Research in Plant Disease, 2002 to investigate occurrence of kiwifruit bacterial canker disease,172 kiwifmit orchards in Jeonnam and Gyeong-nam provinces were surveyed from March to April in 1999. In the south coast region of Korea, such as Haenam, Wando, Jindo, Jangheung, and Bosuns, red-rusty brown bacterial oozes were observed in 17 kiwifvuit orchards.
Sug-Ju Ko +4 more
openaire +2 more sources
Food and Energy Security, Volume 14, Issue 1, January/February 2025.The present study reports the soft rot incidence, H2O2 accumulation, and antioxidase activities in lettuce grown under different light conditions and further investigates the underlying molecular mechanisms of blue light‐induced lettuce resistance against soft rot based on RNA‐seq data.
Yong Wang +13 more
wiley +1 more source
IET Computer Vision, Volume 19, Issue 1, January/December 2025.Plant diseases are known to cause negative impacts and financial losses which are usually found on plant leaves and detection using traditional methods is a labor‐intensive process. Smart agriculture applications based on computer vision are being developed to detect and control of plant diseases.
Esra Yilmaz +3 more
wiley +1 more source
Frontiers in Plant Science, 2018 Pseudomonas syringae pv. actinidiae (Psa) is the causal agent of the bacterial canker, the most devastating disease of kiwifruit vines. Before entering the host tissues, this pathogen has an epiphytic growth phase on kiwifruit flowers and leaves, thus ...
Witoon Purahong +8 more
doaj +1 more source
Image‐based crop disease detection using machine learning
Plant Pathology, Volume 74, Issue 1, Page 18-38, January 2025.Image‐based crop disease detection using machine learning provides a faster, more accurate alternative to traditional methods, with advancements in AI and imaging platforms expanding its effectiveness. Abstract Crop disease detection is important due to its significant impact on agricultural productivity and global food security.
Aria Dolatabadian +5 more
wiley +1 more source