Annosus root and butt rots.

Gonthier, Paolo; Thor, Magnus; Nicolotti, G.

doi:10.1079/9781780640402.0128

Cited by 39 publications

(44 citation statements)

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“…(Gonthier et al, 2005), Phytophthora ramorum (Kelly et al, 2007) and Plasmopara viticola (Lalancette et al, 1988). To date, such models have found many practical applications in different fields including crop production estimation, food security policy, forest management, plant disease control, risk maps development, decision-making support and economic losses estimation (Gregory et al, 2009;Edmonds, 2013;Gonthier & Thor, 2013). In particular, warming temperatures, often related to the global climate change, have been identified in many cases as risk factors increasing the detrimental effects of plant pathogens (Harvell et al, 2002;Doohan et al, 2003).…”

Section: Introductionmentioning

confidence: 98%

Testing and modelling the effects of climate on the incidence of the emergent nut rot agent of chestnut Gnomoniopsis castanea

et al. 2014

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Gnomoniopsis castanea is an emerging fungal pathogen causing nut rot of sweet chestnut, Castanea sativa. This study was aimed at testing and modelling the effects of climate on disease incidence. Up to 120 ripe nuts were collected in 2011 from trees in each of 12 sites located in the northwest of Italy. The incidence of G. castanea in each site was expressed as the number of infected nuts out of the total number of nuts sampled (%), determined by combining the results of morphological identification of isolates obtained from nuts, and their typing through a newly developed taxon-specific molecular assay. Disease incidence ranged from 20 to 93%, depending on site. Geostatistical analyses revealed that, despite the clustering of sites (P < 0Á05), disease incidence was not spatially autocorrelated (P > 0Á05). This finding suggests that the disease is influenced by site-dependent factors whose scale (c. 7Á5-15Á6 km) is consistent with the climate variability throughout the sampling region. Multivariate analyses on maximum, mean and minimum temperatures and on rainfall showed that warmer temperatures were associated with higher levels of disease incidence. The temperatures of months before nut harvesting were selected as predictors for partial least squares regression (PLSR) models (GnoMods) of G. castanea incidence. External validation on data collected either on sites or in years not used for model fitting showed the good predictive abilities of the GnoMods (Spearman's q obs/pred > 0Á72, P < 0Á05). The above findings support a relationship between climate and incidence of G. castanea, providing statistical tools to forecast disease incidence at site level.

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Section: Introductionmentioning

confidence: 98%

Testing and modelling the effects of climate on the incidence of the emergent nut rot agent of chestnut Gnomoniopsis castanea

et al. 2014

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“…; Gonthier et al. , ; Hantula and Vainio ; Gonthier and Thor ). The primer designed in this study to detect He.…”

Section: Discussionmentioning

confidence: 96%

“…The management of such pathogenic species is similar as they share similar infection biology and epidemiological traits (Garbelotto and Gonthier 2013), hence an identification with the assay here described might be sufficient for decision-making. However, an accurate identification at a species level may be required when dealing with reforestation of heavily infested areas, where planting of tree species tolerant to the Heterobasidion species present in the site may be needed (Gonthier and Thor 2013). Several PCR-based assays are available and can be used to refine the diagnosis at a species level (Garbelotto et al 1996;Gonthier et al 2001Gonthier et al , 2007Hantula and Vainio 2003;Gonthier and Thor 2013).…”

Section: Discussionmentioning

confidence: 99%

A molecular diagnostic assay for the detection and identification of wood decay fungi of conifers

et al. 2014

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Ten taxon-specific primers were designed to amplify the Internal Transcribed Spacer of the rRNA operon of several important decay fungi of coniferous wood, including Armillaria spp., Echinodontium spp., Fomitopsis pinicola, Fuscoporia torulosa, Heterobasidion annosum sensu lato (s.l.), Onnia spp., Phaeolus schweinitzii, Phellinus weirii s.l., Pholiota spp. and Porodaedalea spp. Primers designed in this study and in a previous one for the identification of Laetiporus sulphureus and Stereum spp. were combined in two multiplex PCRs, which were tested for efficiency and specificity, and detected at least 1 pg of fungal target DNA. Target DNA at concentrations of 10 À1 pg or lower can be detected with this assay using SYBR â Green Real-Time PCR. Validation assays performed on 129 naturally infected wood samples or fruiting bodies confirmed the reliability of the multiplex PCR-based diagnostic method. This method represents a simple and rapid diagnostic tool for the detection of a number of destructive wood decay fungi of conifer wood.

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“…and H. parviporum Niemelä and Korhonen. Scots pine is highly susceptible to root rot caused by H. annosum [5]. The biology of the pathogen has been studied intensively [6], nevertheless host genotypes with total resistance to root rot have not been observed for Scots pine or Norway spruce [7].…”

Section: Introductionmentioning

confidence: 99%

Pinus sylvestris Breeding for Resistance against Natural Infection of the Fungus Heterobasidion annosum

Rieksts-Riekstiņš

Zeltiņš

Baliuckas

et al. 2019

Forests

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Increasing resistance against biotic and abiotic factors is an important goal of forest tree breeding. The aim of the present study was to develop a root rot resistance index for Scots pine breeding and evaluate its effectiveness. The productivity, branch diameter, branchiness, stem straightness, spike knots, and damage from natural infection of root rot in 154 Scots pine open-pollinated families from Latvia were evaluated through a progeny field trial at the age of 38 years. Trees with decline symptoms were sampled for fungal isolations. Based on this information and kriging estimates of root rot, 35 affected areas (average size: 108 m 2 ; total 28% from the 1.5 ha trial) were delineated. Resistance index of a single tree was formed based on family adjusted proportion of live to infected trees and distance to the center of affected area. Heritability for resistance to root rot based on the value of this index, was high (0.37) and comparable to indices of growth traits. Correlations of family breeding estimates between resistance to root rot and the other traits were not significant, except for a weak, yet significant, positive correlation with diameter at breast height and branch diameter. Selection index including only growth traits (height and stem volume) had a negligible effect on damage by root rot. We detected a maximum genetic gain in resistance index of 33.7% when incorporating it into the selection index with positive gains for growth traits (6.5-11.0%). Two-stage selection with prior selection of the most resistant families was not superior to the use of selection index with only rot resistance included. Overall; rot resistance index appeared to be an effective tool in tree breeding for the selection of more resistant families, using the existing trials with natural (uncontrolled) infection

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Annosus root and butt rots.

Cited by 39 publications

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Testing and modelling the effects of climate on the incidence of the emergent nut rot agent of chestnut Gnomoniopsis castanea

Testing and modelling the effects of climate on the incidence of the emergent nut rot agent of chestnut Gnomoniopsis castanea

A molecular diagnostic assay for the detection and identification of wood decay fungi of conifers

Pinus sylvestris Breeding for Resistance against Natural Infection of the Fungus Heterobasidion annosum

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