In October 2023, lesions consistent with descriptions of tar spot (Phyllachora maydis) were observed on corn (Zea mays) in Kent and Sussex County, Delaware (DE). Black, raised stromata were observed on leaves of commercially grown corn hybrids. Plants were at physiological maturity and disease severity was low with symptoms present on 1 to 10% of plants. In collected tissue, individual leaf severities ranged from 1 to 3% of leaf area with lesions. Hyaline conidia measuring approximately 15.5 µm in length and 0.5 µm in width were observed microscopically (n=5). Stromata were excised and sterilized in a 0.825% sodium hypochlorite solution for 30 s, rinsed in sterile deionized water for 30 s, and dried on a sterile paper towel for 30 s. Tissues were ground in a 1.5 mL microcentrifuge tube with a sterile plastic pestle. DNA was extracted using a DNeasy Plant Mini Kit (Qiagen). DNA was amplified at the internal transcribed spacer (ITS) region with ITS4 and ITS5 primers using polymerase chain reaction (PCR). NCBI BLAST search results yielded 100% sequence homology and 100% query cover (350/515 bp) to P. maydis accession MG881848.1 (Moura et al. 2023). Koch's postulates could not be completed due to the obligate nature of P. maydis. Tarspot was initially discovered in the United States in 2016 in Indiana and Illinois (Ruhl et al. 2016).This is the first report of tar spot on corn in DE. Yield losses from P. maydis can range depending on time of infection, environmental factors, and hybrid susceptibility and have been recorded up to 100% (Rocco da Silva et al. 2021). Because the disease did not enter the area until the end of the season, no yield impact was observed for 2023. Monitoring for the progression of disease will be crucial for future seasons (Telenko et al. 2020). High humidity and moisture levels favor disease development. Approximately half of DE corn acreage is irrigated due to sandy soils, current irrigation timing strategies may need to be reevaluated. Fungicide efficacy trials for management of tar spot have been conducted in other regions, but continued research will be needed to assess management options and optimize application timing for farmers in DE and the Mid-Atlantic region.
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http://dx.doi.org/10.1094/PDIS-11-23-2332-PDN | DOI Listing |
Plant Dis
December 2024
Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907, U.S.A.
Visual detection of stromata (brown-black, elevated fungal fruiting bodies) is the primary method for quantifying tar spot early in the season because these structures are definitive signs of the disease and essential for effective disease monitoring and management. Here, we present the Stromata Contour Detection Algorithm version 2 (SCDA v2), which addresses the limitations of the previously developed SCDA version 1 (SCDA v1), without the need to empirically search for optimal decision-making input parameters (DMIPs) while achieving higher and consistent accuracy in tar spot stromata detection. SCDA v2 operates in two components: (i) SCDA v1 producing tar spot-like region proposals for a given input corn leaf Red-Green-Blue (RGB) image and (ii) a pretrained convolutional neural network (CNN) classifier identifying true tar spot stromata from the region proposals.
View Article and Find Full Text PDFPlant Dis
September 2024
University of Minnesota, Department of Plant Pathology, St. Paul, MN 55108.
Tar spot of corn ( L.) is a significant disease in the United States and Canada caused by , an obligate biotroph fungus. However, field research critical for understanding and managing the disease has been hindered by a need for methods to inoculate corn with in field environments.
View Article and Find Full Text PDFPhytopathology
August 2024
Crop Production and Pest Control Research Unit, U.S. Department of Agriculture-Agricultural Research Service, West Lafayette, IN 47907.
MycoKeys
December 2023
School of Life Sciences and Technology, Lingnan Normal University, Zhanjiang 524048, China Lingnan Normal University Zhanjiang China.
Vetiver grass () has received extensive attention in recent years due to its diverse applications in soil and water conservation, heavy metal remediation, as well as essential oil and phenolic acids extraction. In 2019, the emergence of tar spot disease on was documented in Zhanjiang, Guangdong Province, China. Initially, the disease manifested as black ascomata embedded within leaf tissue, either scattered or clustered on leaf surfaces.
View Article and Find Full Text PDFMar Pollut Bull
January 2024
Israel Oceanographic and Limnological Research, National Institute of Oceanography, Haifa 310800, Israel.
The Levantine basin (LB) in the Southeastern Mediterranean Sea is a high-risk oil pollution hot spot owing to its dense maritime traffic and intense oil and gas exploration and exploitation activities. In February 2021 the Israeli LB shorelines were impacted by an exceptional tar pollution event (~550 tons; average distribution: ~3 kg tar m front beach) of an unknown oil spill source. Here we report on the immediate numerical modelling assessment of the oil spill propagation and tar distribution; operational use of underwater gliders for tracking water column anomalies of dissolved polycyclic aromatic hydrocarbons (PAHs) and turbidity signals; the beached tar composition and amounts and the short-term response of the microbial population along the ~180 km shoreline.
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