Search Results - "Madden, Laurence V."

Refine Results
  1. 1

    Environmental Conditions After Fusarium Head Blight Visual Symptom Development Affect Contamination of Wheat Grain with Deoxynivalenol and Deoxynivalenol-3-Glucoside by Moraes, Wanderson Bucker, Madden, Laurence V, Baik, Byung-Kee, Gillespie, James, Paul, Pierce A

    Published in Phytopathology (01-02-2023)
    “…Fusarium head blight (FHB) of wheat, caused by the fungus , is associated with grain contamination with mycotoxins such as deoxynivalenol (DON). Although FHB…”
    Get full text
    Journal Article
  2. 2

    Accuracy in the prediction of disease epidemics when ensembling simple but highly correlated models by Shah, Denis A, De Wolf, Erick D, Paul, Pierce A, Madden, Laurence V

    Published in PLoS computational biology (15-03-2021)
    “…Ensembling combines the predictions made by individual component base models with the goal of achieving a predictive accuracy that is better than that of any…”
    Get full text
    Journal Article
  3. 3

    Botanical Epidemiology: Some Key Advances and its Continuing Role in Disease Management by Madden, L.V

    Published in European journal of plant pathology (01-05-2006)
    “…Epidemiology involves the study of the temporal, spatial, and spatio-temporal dynamics of disease in populations, and the utilization of results of experiments…”
    Get full text
    Journal Article Conference Proceeding
  4. 4

    Quantifying the effects of fusarium head blight on grain yield and test weight in soft red winter wheat by Salgado, Jorge David, Madden, Laurence V, Paul, Pierce A

    Published in Phytopathology (01-03-2015)
    “…Fusarium head blight (FHB), caused by the fungus Fusarium graminearum, is known to negatively affect wheat grain yield (YLD) and test weight (TW). However,…”
    Get full text
    Journal Article
  5. 5

    A Meta-Analytical Assessment of the Aggregation Parameter of the Binary Power Law for Characterizing Spatial Heterogeneity of Plant Disease Incidence by Madden, Laurence V, Moraes, Wanderson Bucker, Hughes, Gareth, Xu, Xiangming

    Published in Phytopathology (01-11-2021)
    “…The binary power law (BPL) is often used to characterize spatial heterogeneity of disease incidence. A hierarchical mixed model, coupled with multiple…”
    Get full text
    Journal Article
  6. 6

    Biological Attack on Agriculture: Low-Tech, High-Impact Bioterrorism by Wheelis, Mark, Casagrande, Rocco, Madden, Laurence V.

    Published in Bioscience (01-07-2002)
    “…A number of analysts have pointed out that terrorist attacks on livestock or crops, although unlikely to cause terror, are a concern because they could be…”
    Get full text
    Journal Article
  7. 7

    Environment, Grain Development, and Harvesting Strategy Effects on Zearalenone Contamination of Grain from Fusarium Head Blight-Affected Wheat Spikes by Moraes, Wanderson Bucker, Madden, Laurence V, Gillespie, James, Paul, Pierce A

    Published in Phytopathology (01-02-2023)
    “…Fusarium head blight (FHB), caused by the fungus , is associated with grain contamination with mycotoxins such as deoxynivalenol (DON) and zearalenone (ZEA)…”
    Get full text
    Journal Article
  8. 8

    Characterizing Heterogeneity and Determining Sample Sizes for Accurately Estimating Wheat Fusarium Head Blight Index in Research Plots by Moraes, Wanderson Bucker, Madden, Laurence V, Paul, Pierce A

    Published in Phytopathology (01-02-2022)
    “…Because Fusarium head blight (FHB) intensity is usually highly variable within a plot, the number of spikes rated for FHB index (IND) quantification must be…”
    Get full text
    Journal Article
  9. 9

    Logistic Models Derived via LASSO Methods for Quantifying the Risk of Natural Contamination of Maize Grain with Deoxynivalenol by Dalla Lana, Felipe, Madden, Laurence V, Paul, Pierce A

    Published in Phytopathology (01-12-2021)
    “…Models were developed to quantify the risk of deoxynivalenol (DON) contamination of maize grain based on weather, cultural practices, hybrid resistance, and…”
    Get full text
    Journal Article
  10. 10

    Is Disease Intensity a Good Surrogate for Yield Loss or Toxin Contamination? A Case Study with Fusarium Head Blight of Wheat by Madden, Laurence V, Paul, Dr, Pierce A

    Published in Phytopathology (01-10-2020)
    “…Sometimes plant pathologists assess disease intensity when they are primarily interested in other response variables, such as yield loss or toxin concentration…”
    Get full text
    Journal Article
  11. 11

    Impact of Gibberella Ear Rot on Grain Quality and Yield Components in Maize as Influenced by Hybrid Reaction by Lana, Felipe Dalla, Madden, Laurence V, Carvalho, Camila P, Paul, Pierce A

    Published in Plant disease (01-12-2022)
    “…The impact of Gibberella ear rot (GER; caused by ) on deoxynivalenol (DON) contamination of grain and yield components in maize were investigated using data…”
    Get more information
    Journal Article
  12. 12

    Into the trees: random forests for predicting Fusarium head blight epidemics of wheat in the United States by Shah, Denis Anthony, De Wolf, Erick, Paul, Dr, Pierce A, Madden, Laurence V

    Published in Phytopathology (01-08-2023)
    “…Constructing models that accurately predict Fusarium head blight (FHB) epidemics and are also amenable to large-scale deployment is a challenging task. In the…”
    Get full text
    Journal Article
  13. 13

    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…”
    Get full text
    Journal Article
  14. 14

    Modeling the effects of environmental conditions on HT2 and T2 toxin accumulation in field oat grains by Xu, Xiangming, Madden, Laurence V, Edwards, Simon G

    Published in Phytopathology (01-01-2014)
    “…Fusarium head blight (FHB) of wheat and barley has been extensively researched worldwide; in contrast, there is limited information on the effects of…”
    Get full text
    Journal Article
  15. 15

    Meta-Analysis of a Web-Based Disease Forecast System for Control of Anthracnose and Botrytis Fruit Rots of Strawberry in Southeastern United States by Cordova, Leandro G, Madden, Laurence V, Amiri, Achour, Schnabel, Guido, Peres, Natalia A

    Published in Plant disease (01-11-2017)
    “…Strawberry production in Florida and South Carolina is affected by two major diseases, anthracnose fruit rot (AFR) and Botrytis fruit rot (BFR), caused by…”
    Get more information
    Journal Article
  16. 16

    Spatiotemporal spread of grapevine red blotch-associated virus in a California vineyard by Cieniewicz, Elizabeth J., Pethybridge, Sarah J., Gorny, Adrienne, Madden, Laurence V., McLane, Heather, Perry, Keith L., Fuchs, Marc

    Published in Virus research (15-09-2017)
    “…•A three-year study of GRBaV spread was conducted in a vineyard in California, USA.•Diseased vines were significantly aggregated next to a wooded riparian…”
    Get full text
    Journal Article
  17. 17

    Combining Models is More Likely to Give Better Predictions than Single Models by Hu, Xiaoping, Madden, Laurence V, Edwards, Simon, Xu, Xiangming

    Published in Phytopathology (01-09-2015)
    “…In agricultural research, it is often difficult to construct a single "best" predictive model based on data collected under field conditions. We studied the…”
    Get full text
    Journal Article
  18. 18

    The use of fixed study main effects in arm‐based network meta‐analysis by Piepho, Hans‐Peter, Madden, Laurence V., Williams, Emlyn R.

    Published in Research synthesis methods (01-09-2024)
    “…Methods of network meta‐analysis (NMA) can be classified as arm‐based and contrast‐based approaches. There are several arm‐based approaches, and some of these…”
    Get full text
    Journal Article
  19. 19

    Effect of potting mix microbial carrying capacity on biological control of Rhizoctonia damping-off of radish and Rhizoctonia crown and root rot of poinsettia by KRAUSE, Matthew S, MADDEN, Laurence V, HOITINK, Harry A. J

    Published in Phytopathology (01-11-2001)
    “…ABSTRACT Potting mixes prepared with dark, highly decomposed Sphagnum peat, with light, less decomposed Sphagnum peat, or with composted pine bark, all three…”
    Get full text
    Journal Article
  20. 20

    How to observe the principle of concurrent control in an arm‐based meta‐analysis using SAS procedures GLIMMIX and BGLIMM by Piepho, Hans‐Peter, Madden, Laurence V.

    Published in Research synthesis methods (01-11-2022)
    “…Network meta‐analysis is a popular method to synthesize the information obtained in a systematic review of studies (e.g., randomized clinical trials) involving…”
    Get full text
    Journal Article