Results 1 to 10 of about 900,536 (131)
Phenotypic scoring of canola blackleg severity using machine learning image analysis
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu +15 more
wiley +1 more source
Molecular Identification of Fusarium Species Associated With Coffee Plantations in Bolivia
Journal of Phytopathology, Volume 174, Issue 4, July/August 2026.ABSTRACT Fungal species associated with coffee and their pathogenic potential remain underexplored in Bolivia. This study aimed to investigate the diversity of Fusarium species associated with coffee in the Amazon basin of Caranavi province in the Yungas region of Bolivia and their ability to induce disease symptoms under controlled conditions. A total
Marisel M. Mamani +8 more
wiley +1 more source
PLoS Pathogens, 2012 Modern agriculture favours the selection and spread of novel plant diseases. Furthermore, crop genetic resistance against pathogens is often rendered ineffective within a few years of its commercial deployment.
Guillaume Daverdin +8 more
doaj +1 more source
Soil Pathobiome in Agroecosystems and Forests
Plant Pathology, Volume 75, Issue 4, July‐August 2026.This review synthesises current knowledge on the soil pathobiome across agroecosystems, horticulture, and forests, highlighting how climate change and intensive management disrupt microbial communities and promote pathogen accumulation. It emphasises soil health as a key component of the One Health framework, linking ecosystem, plant, animal, and human
Małgorzata Jędryczka +7 more
wiley +1 more source
Acta Agrobotanica, 2014 LAMP is an innovative, simple, rapid, specific and cost-effective nucleic acid amplification method. Due to the use of a special enzyme – GspSSD polymerase, the reaction takes a short time and can be performed at isothermal conditions.
Małgorzata Jędryczka +5 more
doaj +1 more source
Various Fungi Colonising Fresh Litter During Winter Inhibit Seed Germination of Picea jezoensis
Plant Pathology, Volume 75, Issue 1, January/February 2026.The community of soil‐borne fungal pathogens infecting Picea jezoensis seeds differs among the sites with different altitudes. ABSTRACT Natural regeneration of Picea jezoensis, one of the dominant conifer species in northern Japan, is severely inhibited by soil‐borne pathogens.
Ayuka Iwakiri +2 more
wiley +1 more source
Plant Pathology, Volume 74, Issue 9, Page 2697-2714, December 2025.Novel plant diebacks are emerging in association with reoccurring droughts in California. Field isolations and greenhouse trials show that latent pathogens and drought together, and not drought alone, cause the most severe diebacks. ABSTRACT The detection of emergent biotic and abiotic threats to plant health is challenging in an interconnected world ...
Matteo Garbelotto +8 more
wiley +1 more source
Hybridization between cultivated sunflower and wild species Helianthus praecox Engelm. & Gray
Растениевъдни науки, 2017 Interspecific hybridization was carried out between sterile analogues of cultivated sunflower lines with normal cytoplasm and wild annual Helianthus praecox, accession GT-E-144, from collection of DAI-General Toshevo.
Daniela Valkova +2 more
doaj
Commodity risk assessment of Alnus cordata and Alnus glutinosa specimen trees from the UK
EFSA Journal, Volume 23, Issue 4, April 2025.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’. This Scientific Opinion covers the plant health risks posed by the following commodities: Alnus cordata and
EFSA Panel on Plant Health (PLH) +35 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