Comment-Using spatial and temporal patterns of <i>Armillaria</i> root disease to formulate management recommendations for Ontario's black spruce (<i>Picea mariana</i>) seed orchards

Hughes, Gordon; Madden, L. V.

doi:10.1139/x97-200

Cited by 5 publications

(4 citation statements)

References 22 publications

(41 reference statements)

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“…Spatial analyses of Armillaria root disease on Douglas-fir in British Columbia (29), on Pinus mugo var. uncinata in Switzerland (7), or on black spruce in Ontario (12) were conducted from a static sample in time in order to describe the spatial pattern of the surviving and dead trees.…”

Section: Discussionmentioning

confidence: 99%

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Temporal and Spatial Dynamics of Primary and Secondary Infection by Armillaria ostoyae in a Pinus pinaster Plantation

Lung-Escarmant¹,

Guyon²

2004

Phytopathology®

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Epidemiological investigations were performed in a 3-ha maritime pine (Pinus pinaster) plantation established on a site heavily infested by Armillaria ostoyae. Geostatistics were used to examine the density and the distribution of the initial inoculum. Disease dynamics were monitored for 17 years after planting. On the whole site, the cumulative mortality rate reached 35% over this period, plateauing at 12 years. Disease progress curves differed according to the density of the initial inoculum, although in all the cases, the Gompertz model described the epidemics well. The epidemiological contributions of both primary (initially colonized stumps) and secondary inoculum (newly dead pines) were evaluated by analyzing their spatial relation to annual mortality. Newly dead pines acted as secondary inoculum from year 3 and their role increased with time. When the initial inoculum density was low, the contribution of secondary inoculum to epidemic development increased faster and halted sooner than when the density of primary inoculum was high. Regardless of its density, the primary inoculum acted throughout the dynamic phase of the epidemic. When the inoculum density was low, the probability of mortality during the first 6 years of the epidemic depended on the tree distance from the nearest stumps colonized by Armillaria sp. When the inoculum density was high, the probability of mortality was higher and not related to the distance between trees and colonized stumps.

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Section: Discussionmentioning

confidence: 99%

“…Van der Pas (30) and Swift (28) recorded mortality rates in young pine plantations in New Zealand and Zimbabwe, respectively. More recently, Bruhn et al (3) and Hughes and Madden (12) have described the spatial and temporal patterns of Armillaria root disease in Ontario (Canada) on 10-year-old black spruce.…”

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confidence: 99%

Temporal and Spatial Dynamics of Primary and Secondary Infection by Armillaria ostoyae in a Pinus pinaster Plantation

Lung-Escarmant¹,

Guyon²

2004

Phytopathology®

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“…Commonly used approaches to determine spatial patterns are related with to compare the observed frequency distribution with theoretical frequency distributions such as Poisson, binomial, negative binomial, Neyman type A, and beta-binomial distributions (BBD) (Madden and Hughes 1995;Hughes and Madden 1998). Based on the best fit (maximum likelihood, Lloyd patchiness) of observed frequencies to these distributions, a spatial pattern is considered aggregated, random or uniform (Campbell and Noe, 1985;Madden, 1990 andHughes, 1999).…”

Section: Binomial and Negative Binomial Distributionmentioning

confidence: 99%

Spatial Patterns of Host-Pathogen Complex: A Geostatistical Insight

Mathur¹

2018

Int.J.Curr.Microbiol.App.Sci

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“…The virus is transmitted by two processes, first by acquisition of virus from infected plants and secondly by inoculation of healthy host plants by vectors. However, mathematical models of plant-virus interaction have been studied by several researchers [7,8,9,10,11,12,13,14]. All models of plant-virus disease that incorporate both host and vector take into account the contact rates between healthy plants and infective vectors.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous effect of disease and toxicant on a plant population: a model

Chauhan¹,

Misra

Dhar³

2014

Global Journal of Mathematical Analysis

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In this paper, we have studied the effect of disease separately on the plant population and the simultaneous effect of disease and toxicant on plant population. The disease is caused to the plants by vector population and toxicants are effecting the total plant density directly through air. The local and global stability conditions for both the models have been derived and numerical simulation is done using MATLAB software.

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Comment-Using spatial and temporal patterns of Armillaria root disease to formulate management recommendations for Ontario's black spruce (Picea mariana) seed orchards

Cited by 5 publications

References 22 publications

Temporal and Spatial Dynamics of Primary and Secondary Infection by Armillaria ostoyae in a Pinus pinaster Plantation

Temporal and Spatial Dynamics of Primary and Secondary Infection by Armillaria ostoyae in a Pinus pinaster Plantation

Spatial Patterns of Host-Pathogen Complex: A Geostatistical Insight

Simultaneous effect of disease and toxicant on a plant population: a model

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