Search Results - "OJIAMBO, PETER S"

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  1. 1

    A Systematic Review and Quantitative Synthesis of the Efficacy of Quaternary Ammonium Disinfestants Against Fungal Plant Pathogens by Copes, Warren E, Ojiambo, Peter S

    Published in Plant disease (01-02-2023)
    “…Quaternary ammonium compounds (QACs) have been used as disinfestants in plant production systems since the late 20th century. In studies on the control of…”
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    Journal Article
  2. 2

    Cultural and Genetic Approaches to Manage Aflatoxin Contamination: Recent Insights Provide Opportunities for Improved Control by Ojiambo, Peter S, Battilani, Paola, Cary, Jeffrey W, Blum, Burt H, Carbone, Ignazio

    Published in Phytopathology (01-09-2018)
    “…Aspergillus flavus is a morphologically complex species that can produce the group of polyketide derived carcinogenic and mutagenic secondary metabolites,…”
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    Journal Article
  3. 3

    Impact of frequency of application on the long-term efficacy of the biocontrol product Aflasafe in reducing aflatoxin contamination in maize by Atehnkeng, Joseph, Ojiambo, Peter S, Ortega-Beltran, Alejandro, Augusto, Joao, Cotty, Peter J, Bandyopadhyay, Ranajit

    Published in Frontiers in microbiology (24-11-2022)
    “…Aflatoxins, produced by several section species in various crops, are a significant public health risk and a barrier to trade and development. In sub-Saharan…”
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  4. 4

    Predicting Pre-planting Risk of Stagonospora nodorum blotch in Winter Wheat Using Machine Learning Models by Mehra, Lucky K, Cowger, Christina, Gross, Kevin, Ojiambo, Peter S

    Published in Frontiers in plant science (30-03-2016)
    “…Pre-planting factors have been associated with the late-season severity of Stagonospora nodorum blotch (SNB), caused by the fungal pathogen Parastagonospora…”
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  5. 5

    Biocontrol Strains Differentially Shift the Genetic Structure of Indigenous Soil Populations of Aspergillus flavus by Lewis, Mary H, Carbone, Ignazio, Luis, Jane M, Payne, Gary A, Bowen, Kira L, Hagan, Austin K, Kemerait, Robert, Heiniger, Ron, Ojiambo, Peter S

    Published in Frontiers in microbiology (31-07-2019)
    “…Biocontrol using non-aflatoxigenic strains of has the greatest potential to mitigate aflatoxin contamination in agricultural produce. However, factors that…”
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  6. 6

    Identifying highly connected sites for risk-based surveillance and control of cucurbit downy mildew in the eastern United States by Ojwang', Awino M E, Lloyd, Alun L, Bhattacharyya, Sharmodeep, Chatterjee, Shirshendu, Gent, David H, Ojiambo, Peter S

    Published in PeerJ (San Francisco, CA) (22-07-2024)
    “…Surveillance is critical for the rapid implementation of control measures for diseases caused by aerially dispersed plant pathogens, but such programs can be…”
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  7. 7

    Resurgence of cucurbit downy mildew in the United States: Insights from comparative genomic analysis of Pseudoperonospora cubensis by Thomas, Anna, Carbone, Ignazio, Choe, Kisurb, Quesada‐Ocampo, Lina M., Ojiambo, Peter S.

    Published in Ecology and evolution (01-08-2017)
    “…Pseudoperonospora cubensis, the causal agent of cucurbit downy mildew (CDM), is known to exhibit host specialization. The virulence of different isolates of…”
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  8. 8
  9. 9

    Focus expansion and stability of the spread parameter estimate of the power law model for dispersal gradients by Ojiambo, Peter S, Gent, David H, Mehra, Lucky K, Christie, David, Magarey, Roger

    Published in PeerJ (San Francisco, CA) (20-06-2017)
    “…Empirical and mechanistic modeling indicate that pathogens transmitted via aerially dispersed inoculum follow a power law, resulting in dispersive epidemic…”
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  10. 10

    Dataset for transcriptomic profiles associated with development of sexual structures in Aspergillus flavus by Luis, Jane Marian, Carbone, Ignazio, Mack, Brian M., Lebar, Matthew D., Cary, Jeffrey W., Gilbert, Matthew K., Bhatnagar, Deepak, Wientjes, Carol-Carter, Payne, Gary A., Moore, Geromy G., Ameen, Yaken Obaydeh, Ojiambo, Peter S.

    Published in Data in brief (01-06-2022)
    “…Information on the transcriptomic changes that occur within sclerotia of Aspergillus flavus during its sexual cycle is very limited and warrants further…”
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    Journal Article
  11. 11

    Evaluation of a Model for Predicting Onset of Septoria nodorum Blotch in Winter Wheat by Adhikari, Urmila, Cowger, Christina, Ojiambo, Peter S

    Published in Plant disease (01-04-2023)
    “…Prediction models that aid growers in making decisions on timing of fungicide application are important components of integrated management programs for…”
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    Journal Article
  12. 12

    Effects of Host and Weather Factors on the Growth Rate of Septoria nodorum blotch Lesions on Winter Wheat by Adhikari, Urmila, Brown, James, Ojiambo, Peter, Cowger, Christina

    Published in Phytopathology (01-10-2023)
    “…Septoria nodorum blotch (SNB), caused by Parastagonospora nodorum, is a major disease of winter wheat that occurs frequently in the central and southeastern…”
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    Journal Article
  13. 13

    Efficacy of Hypochlorite in Disinfesting Nonfungal Plant Pathogens in Agricultural and Horticultural Plant Production: A Meta-Analysis by Copes, Warren E, Ojiambo, Peter S

    Published in Plant disease (01-12-2021)
    “…Bleach products containing hypochlorite are commonly used as disinfectants to eliminate nonfungal plant pathogens from production surfaces, tools, plant…”
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  14. 14

    Field Occurrence and Overwintering of Oospores of Pseudoperonospora cubensis in the Southeastern United States by Kikway, Isaack, Keinath, Anthony, Ojiambo, Peter

    Published in Phytopathology (01-09-2022)
    “…In the United States, the cucurbit downy mildew pathogen, , has been shown to form oospores under laboratory conditions, but there are no reports on the…”
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  15. 15

    Efficacy of Hypochlorite as a Disinfestant Against Fungal Pathogens in Agricultural and Horticultural Plant Production: A Systematic Review and Meta-Analysis by Copes, Warren E., Ojiambo, Peter S.

    Published in Phytopathology (01-08-2021)
    “…Hypochlorite is often used as a disinfestant of fungal pathogens in a range of agricultural and horticultural settings. However, reports of its effectiveness…”
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  16. 16

    Temporal Dynamics and Severity of Cucurbit Downy Mildew Epidemics as Affected by Chemical Control and Cucurbit Host Type by Kikway, Isaack, Keinath, Anthony P, Ojiambo, Peter S

    Published in Plant disease (01-03-2022)
    “…Cucurbit downy mildew caused by the oomycete is an important disease that affects members of Cucurbitaceae family globally. However, temporal dynamics of the…”
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  17. 17

    Occurrence and Distribution of Mating Types of Pseudoperonospora cubensis in the United States by Thomas, Anna, Carbone, Ignazio, Cohen, Yigal, Ojiambo, Peter S

    Published in Phytopathology (01-03-2017)
    “…During the past two decades, a resurgence of cucurbit downy mildew has occurred around the world, resulting in severe disease epidemics. In the United States,…”
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  18. 18

    Virulence Structure Within Populations of Pseudoperonospora cubensis in the United States by Thomas, Anna, Carbone, Ignazio, Lebeda, Aleš, Ojiambo, Peter S

    Published in Phytopathology (01-06-2017)
    “…Cucurbit downy mildew (CDM), caused by the obligate oomycete Pseudoperonospora cubensis, has resurged around the world during the past three decades. A new…”
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    Journal Article
  19. 19

    Epidemiology and Population Biology of Pseudoperonospora cubensis: A Model System for Management of Downy Mildews by Ojiambo, Peter S, Gent, David H, Quesada-Ocampo, Lina M, Hausbeck, Mary K, Holmes, Gerald J

    Published in Annual review of phytopathology (01-01-2015)
    “…The resurgence of cucurbit downy mildew has dramatically influenced production of cucurbits and disease management systems at multiple scales. Long-distance…”
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  20. 20

    The value of generalized linear mixed models for data analysis in the plant sciences by Madden, Laurence V., Ojiambo, Peter S.

    Published in Frontiers in Horticulture (25-06-2024)
    “…Modern data analysis typically involves the fitting of a statistical model to data, which includes estimating the model parameters and their precision…”
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