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Can Spore Sampler Data Be Used to Predict Plasmopara viticola Infection in Vineyards?
Grapevine downy mildew (DM) is caused by the dimorphic oomycete Plasmopara viticola, which incites epidemics through primary and secondary infection cycles that occur throughout the season. The secondary infection cycles are caused by the sporangia produced on DM lesions. The current research examin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438544/ https://www.ncbi.nlm.nih.gov/pubmed/32903587 http://dx.doi.org/10.3389/fpls.2020.01187 |
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author | Brischetto, Chiara Bove, Federica Languasco, Luca Rossi, Vittorio |
author_facet | Brischetto, Chiara Bove, Federica Languasco, Luca Rossi, Vittorio |
author_sort | Brischetto, Chiara |
collection | PubMed |
description | Grapevine downy mildew (DM) is caused by the dimorphic oomycete Plasmopara viticola, which incites epidemics through primary and secondary infection cycles that occur throughout the season. The secondary infection cycles are caused by the sporangia produced on DM lesions. The current research examined the relationship between numbers of airborne sporangia and DM development on grape leaves to determine whether spore sampler data can be useful to predict the potential for secondary infections of P. viticola. Three years (2015–2017) of spore sampler data confirmed that sporangia are a common component of the airborne microflora in a DM-infested vineyard and that their numbers depend on weather conditions. For a total of 108 days, leaf samples were collected from the vineyard at 2- to 3-day intervals and incubated under optimal conditions for P. viticola infection. The numbers of airborne sporangia sampled on 1 to 7 days before leaf sampling were significantly correlated with the numbers of DM lesions on the leaves. The best correlation (r=0.59), however, was found for the numbers of viable airborne sporangia (SPV), which were assessed by using equations driven by the vapour pressure deficit. In Bayesian and ROC curve analyses, SPV was found to be a good predictor of P. viticola infection of grape leaves, with AUROC=0.821 and false positive predictions mainly occurring at low SPV. A binary logistic regression showed that a threshold of 2.52 viable sporangia m(-3) air day(-1) enables a prediction of no infection with a posterior probability of 0.870, which was higher than the prior probability of 0.574. Numbers of viable sporangia in the vineyard air is therefore a useful predictor of infection and especially of no infection. The predictor missed some observed infections, but these infections were not severe (they accounted for only 31 of 374 DM lesions). |
format | Online Article Text |
id | pubmed-7438544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74385442020-09-03 Can Spore Sampler Data Be Used to Predict Plasmopara viticola Infection in Vineyards? Brischetto, Chiara Bove, Federica Languasco, Luca Rossi, Vittorio Front Plant Sci Plant Science Grapevine downy mildew (DM) is caused by the dimorphic oomycete Plasmopara viticola, which incites epidemics through primary and secondary infection cycles that occur throughout the season. The secondary infection cycles are caused by the sporangia produced on DM lesions. The current research examined the relationship between numbers of airborne sporangia and DM development on grape leaves to determine whether spore sampler data can be useful to predict the potential for secondary infections of P. viticola. Three years (2015–2017) of spore sampler data confirmed that sporangia are a common component of the airborne microflora in a DM-infested vineyard and that their numbers depend on weather conditions. For a total of 108 days, leaf samples were collected from the vineyard at 2- to 3-day intervals and incubated under optimal conditions for P. viticola infection. The numbers of airborne sporangia sampled on 1 to 7 days before leaf sampling were significantly correlated with the numbers of DM lesions on the leaves. The best correlation (r=0.59), however, was found for the numbers of viable airborne sporangia (SPV), which were assessed by using equations driven by the vapour pressure deficit. In Bayesian and ROC curve analyses, SPV was found to be a good predictor of P. viticola infection of grape leaves, with AUROC=0.821 and false positive predictions mainly occurring at low SPV. A binary logistic regression showed that a threshold of 2.52 viable sporangia m(-3) air day(-1) enables a prediction of no infection with a posterior probability of 0.870, which was higher than the prior probability of 0.574. Numbers of viable sporangia in the vineyard air is therefore a useful predictor of infection and especially of no infection. The predictor missed some observed infections, but these infections were not severe (they accounted for only 31 of 374 DM lesions). Frontiers Media S.A. 2020-08-13 /pmc/articles/PMC7438544/ /pubmed/32903587 http://dx.doi.org/10.3389/fpls.2020.01187 Text en Copyright © 2020 Brischetto, Bove, Languasco and Rossi http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Brischetto, Chiara Bove, Federica Languasco, Luca Rossi, Vittorio Can Spore Sampler Data Be Used to Predict Plasmopara viticola Infection in Vineyards? |
title | Can Spore Sampler Data Be Used to Predict Plasmopara viticola Infection in Vineyards? |
title_full | Can Spore Sampler Data Be Used to Predict Plasmopara viticola Infection in Vineyards? |
title_fullStr | Can Spore Sampler Data Be Used to Predict Plasmopara viticola Infection in Vineyards? |
title_full_unstemmed | Can Spore Sampler Data Be Used to Predict Plasmopara viticola Infection in Vineyards? |
title_short | Can Spore Sampler Data Be Used to Predict Plasmopara viticola Infection in Vineyards? |
title_sort | can spore sampler data be used to predict plasmopara viticola infection in vineyards? |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438544/ https://www.ncbi.nlm.nih.gov/pubmed/32903587 http://dx.doi.org/10.3389/fpls.2020.01187 |
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