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Ecology of Diaporthe eres, the causal agent of hazelnut defects

Diaporthe eres has been recently reported as the causal agent of hazelnut defects, with characteristic brown spots on the kernels surface and internal fruit discoloration. Knowledge regarding the ecology of this fungus is poor but, is critical to support a rationale and effective hazelnut crop prote...

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Autores principales: Arciuolo, Roberta, Camardo Leggieri, Marco, Chiusa, Giorgio, Castello, Giuseppe, Genova, Giuseppe, Spigolon, Nicola, Battilani, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946276/
https://www.ncbi.nlm.nih.gov/pubmed/33690684
http://dx.doi.org/10.1371/journal.pone.0247563
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author Arciuolo, Roberta
Camardo Leggieri, Marco
Chiusa, Giorgio
Castello, Giuseppe
Genova, Giuseppe
Spigolon, Nicola
Battilani, Paola
author_facet Arciuolo, Roberta
Camardo Leggieri, Marco
Chiusa, Giorgio
Castello, Giuseppe
Genova, Giuseppe
Spigolon, Nicola
Battilani, Paola
author_sort Arciuolo, Roberta
collection PubMed
description Diaporthe eres has been recently reported as the causal agent of hazelnut defects, with characteristic brown spots on the kernels surface and internal fruit discoloration. Knowledge regarding the ecology of this fungus is poor but, is critical to support a rationale and effective hazelnut crop protection strategy. Therefore, a study was performed to describe and model the effect of different abiotic factors such as temperature (T, 5–35°C, step 5°C) and water activity (a(w) 0.83–0.99, step 0.03) regimes on D. eres mycelial growth, pycnidial conidiomata development and asexual spore production during a 60-day incubation period. Alpha conidia germination was tested in the same T range and at different relative humidities (RH = 94, 97 and 100%) over 48 h incubation period. Fungal growth was observed from the first visual observation; regarding pycnidia and cirrhi, their development started after 8 and 19 days of incubation, respectively and increased over time. The optimum T for growth was 20–25°C and for pycnidia and cirrhi development was 30°C; a(w) ≥ 0.98 was optimal for the tested steps of the fungal cycle. The best condition for conidial germination of D. eres was at 25°C with RH = 100%. Quantitative data obtained were fitted using non- linear regression functions (Bete, logistic and polynomial), which provided a very good fit of the biological process (R(2) = 0.793–0.987). These functions could be the basis for the development of a predictive model for the infection of D. eres of hazelnuts.
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spelling pubmed-79462762021-03-19 Ecology of Diaporthe eres, the causal agent of hazelnut defects Arciuolo, Roberta Camardo Leggieri, Marco Chiusa, Giorgio Castello, Giuseppe Genova, Giuseppe Spigolon, Nicola Battilani, Paola PLoS One Research Article Diaporthe eres has been recently reported as the causal agent of hazelnut defects, with characteristic brown spots on the kernels surface and internal fruit discoloration. Knowledge regarding the ecology of this fungus is poor but, is critical to support a rationale and effective hazelnut crop protection strategy. Therefore, a study was performed to describe and model the effect of different abiotic factors such as temperature (T, 5–35°C, step 5°C) and water activity (a(w) 0.83–0.99, step 0.03) regimes on D. eres mycelial growth, pycnidial conidiomata development and asexual spore production during a 60-day incubation period. Alpha conidia germination was tested in the same T range and at different relative humidities (RH = 94, 97 and 100%) over 48 h incubation period. Fungal growth was observed from the first visual observation; regarding pycnidia and cirrhi, their development started after 8 and 19 days of incubation, respectively and increased over time. The optimum T for growth was 20–25°C and for pycnidia and cirrhi development was 30°C; a(w) ≥ 0.98 was optimal for the tested steps of the fungal cycle. The best condition for conidial germination of D. eres was at 25°C with RH = 100%. Quantitative data obtained were fitted using non- linear regression functions (Bete, logistic and polynomial), which provided a very good fit of the biological process (R(2) = 0.793–0.987). These functions could be the basis for the development of a predictive model for the infection of D. eres of hazelnuts. Public Library of Science 2021-03-10 /pmc/articles/PMC7946276/ /pubmed/33690684 http://dx.doi.org/10.1371/journal.pone.0247563 Text en © 2021 Arciuolo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Arciuolo, Roberta
Camardo Leggieri, Marco
Chiusa, Giorgio
Castello, Giuseppe
Genova, Giuseppe
Spigolon, Nicola
Battilani, Paola
Ecology of Diaporthe eres, the causal agent of hazelnut defects
title Ecology of Diaporthe eres, the causal agent of hazelnut defects
title_full Ecology of Diaporthe eres, the causal agent of hazelnut defects
title_fullStr Ecology of Diaporthe eres, the causal agent of hazelnut defects
title_full_unstemmed Ecology of Diaporthe eres, the causal agent of hazelnut defects
title_short Ecology of Diaporthe eres, the causal agent of hazelnut defects
title_sort ecology of diaporthe eres, the causal agent of hazelnut defects
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946276/
https://www.ncbi.nlm.nih.gov/pubmed/33690684
http://dx.doi.org/10.1371/journal.pone.0247563
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