17 research outputs found

    Hermiston 2002 stripe rust disease gradient

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    This file contains the disease gradient data from Hermiston 2002 experiment for stripe rust on wheat. The experiments were reported in [Sackett, K. E., and C. C. Mundt. 2005. Primary disease gradients of wheat stripe rust in large field plots. Phytopathology 95:983–91.] 1st column: distance from the source of infection in feet. 2nd column: distance from the source of infection in meters. 3rd, 4th, 5th columns disease severity (percentage of leaf area infected) measurements in three replicate plots. This disease gradient is plotted in Figure 2(a)

    R0, as a function of the field size for power law 2 dispersal kernel, parameters for Madras 2002 experiment

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    The file represents the basic reproductive number, R0, as a function of the field size for power law 2 dispersal kernel, parameters for Madras 2002 experiment. 1st column distance [m]; 2nd column R0. Spatial grid 120x120 gridpoints. Plotted as points on the dashed blue curve in Fig. 3. The data was generated by numerical solution of Eq. (6) in the manuscript

    R0 as a function of the field size for gaussian dispersal kernel

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    The file represents the basic reproductive number, R0, as a function of the field size for Gaussian dispersal kernel. 1st column distance [m]; 2nd column R0. Spatial grid 120x120 gridpoints. Plotted as dotted curve in Fig. 1. The data was generated by numerical solution of Eq. (6) in the manuscript

    R0 as a function of the field size for exponential dispersal kernel

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    The file represents the basic reproductive number, R0, as a function of the field size for exponential dispersal kernel. 1st column distance [m]; 2nd column R0. Spatial grid 60x60 gridpoints. Plotted as solid curve in Fig. 1 (up to values of d of about 193 m). The data was generated by numerical solution of Eq. (6) in the manuscript

    Data on quantitative resistance of wheat to Septoria tritici blotch

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    Data consists of 10 columns, first row shows column names. Each subsequent row corresponds to data from an individual leaf. Column 1 - leaf index, column 2 - leaf label, column 3 - leaf area in mm2, column 4 - area covered by necrotic tissue in mm2, column 5 - percentage of leaf area covered by lesions (PLACL), column 6 - number of pycnidia on the leaf, column 7 - mean area of pycnidia on the leaf in mm2, column 8 - number of pycnidia per cm2 leaf, column 9 - number of pycnidia per cm2 lesion, column 10 - pycnidia grey value. Leaf label in column 2 uniquely identifies each leaf in the collection. It consists of three parts divided by underscore symbols "_". First part describes the time point of collection ("c1" - collection t1, 25 May 2016; "c3" - collection t2, 4 July, 2016). Second part is the sowing number that uniquely identifies the small wheat plot planted with a specific wheat cultivar. Third part is the index of a leaf within a specific plot. For example, leaf with the label "c1_sn133_7" comes from collection t1, sowing number 133, leaf index 7

    R0, as a function of the field size for power law 2 dispersal kernel, parameters for Hermiston 2002 experiment.

    No full text
    The file represents the basic reproductive number, R0, as a function of the field size for power law 2 dispersal kernel, parameters for Hermiston 2002 experiment. 1st column distance [m]; 2nd column R0. Spatial grid 120x120 gridpoints, except for last 3 points with 180x180 grid. Plotted as points on solid red curve in Fig. 3. The data was generated by numerical solution of Eq. (6) in the manuscript

    Data on quantitative resistance of wheat to Septoria tritici blotch

    No full text
    Data consists of 10 columns, first row shows column names. Each subsequent row corresponds to data from an individual leaf. Column 1 - leaf index, column 2 - leaf label, column 3 - leaf area in mm2, column 4 - area covered by necrotic tissue in mm2, column 5 - percentage of leaf area covered by lesions (PLACL), column 6 - number of pycnidia on the leaf, column 7 - mean area of pycnidia on the leaf in mm2, column 8 - number of pycnidia per cm2 leaf, column 9 - number of pycnidia per cm2 lesion, column 10 - pycnidia grey value. Leaf label in column 2 uniquely identifies each leaf in the collection. It consists of three parts divided by underscore symbols "_". First part describes the time point of collection ("c1" - collection t1, 25 May 2016; "c3" - collection t2, 4 July, 2016). Second part is the sowing number that uniquely identifies the small wheat plot planted with a specific wheat cultivar. Third part is the index of a leaf within a specific plot. For example, leaf with the label "c1_sn133_7" comes from collection t1, sowing number 133, leaf index 7

    R0 as a function of the field size for exponential dispersal kernel, large field sizes and higher spatial resolution

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    The file represents the basic reproductive number, R0, as a function of the field size for exponential dispersal kernel. 1st column distance [m]; 2nd column R0. Spatial grid 150x150 gridpoints. Plotted as solid curve in Fig. 1 (up to values of d of about 193 m). The data was generated by numerical solution of Eq. (6) in the manuscript

    Dose response dependence for stripe rust controlled by epoxiconazole

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    Dose response dependence for stripe rust controlled by the fungicide epoxiconazole (Opus). The data was reported in the Home Grown Cereal Authority (HGCA) report n. 488 "Fungicide performance on winter wheat" (Ref. Bounds et al 2012 in the manuscript), Figure 15. The first column represents the fungicide dose as a proportion of the full label rate. The second column represents severity of stripe rust as percentage of the total leaf area. The results are averages over the two consecutive seasons, 2008 and 2009. This data is plotted in Fig. 5(a) of the manuscript

    Madras 2002 stripe rust disease gradient

    No full text
    This file contains the disease gradient data from Madras experiment for stripe rust on wheat. The experiments were reported in [Sackett, K. E., and C. C. Mundt. 2005. Primary disease gradients of wheat stripe rust in large field plots. Phytopathology 95:983–91.] 1st column: distance from the source of infection in feet. 2nd column: distance from the source of infection in meters. 3rd, 4th, 5th columns disease severity (percentage of leaf area infected) measurements in three replicate plots. This disease gradient is plotted in Figure 2(b)
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