DETERMINATION OF Pestalotiopsis sp. CAUSING DISEASE ON FRUIT CLUSTERS IN HAZELNUT GROWING AREAS OF ORDU, GİRESUN AND TRABZON PROVINCES IN TURKEY

Sezer, Arzu; Dolar, Fatma Sara

doi:10.17707/agricultforest.61.1.23

Cited by 8 publications

(4 citation statements)

References 4 publications

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“…and Trichotecium roseum in hazelnuts grown in southern Chile [29]. The mold incidence depends on favorable environmental factors for infection by phytopathogens, especially during flowering and fruit set [30][31][32][33]. However, in our study, the highest incidence of molds was detected in TDG grown in Perquenco corresponding to the last two seasons, in which low temperatures, humidity and precipitation were present, in addition to higher radiation during production (Figure 1).…”

Section: Discussionmentioning

confidence: 56%

Antioxidant Performance in Hazelnut (<em>Corylus avellana</em> L.) Cultivars Shell Is Substantially Influenced by Season and Locality

Gavilán-CuiCui,

Padilla-Contreras,

Manterola-Barroso

et al. 2024

Preprint

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Hazelnut (Corylus avellana L.) is of great agroeconomic importance, prized for its nutritional value and antioxidant properties. Its yield and quality may differ due to factors such as season (S), locality (L) and cultivar (C). Our objective was to determine the dynamics of morphological features and antioxidant properties in nuts of Barcelona and Tonda di Giffoni (TDG) cultivars planted at two localities (Cunco and Perquenco) during three productive seasons (S1, S2 and S3). Barcelona grown in Perquenco in S1 and S3 (less precipitation, more solar radiation), performed better than in Cunco with respect to most morphological nut, kernel and shell features, and the same parameters generally had the same trends for TDG in S2 and S3. Among the seasons at the same localities, the differences between the predominant condition defects for both cultivars were in the decreasing order wrinkled/deformed kernels, double kernels, blank and mold ker-nels, with about 75% of hazelnuts without defect. In both cultivars, the shell had higher antioxi-dant properties that increased in S1 and S3 at both localities, and were consistently higher than in the kernels. Lipid peroxidation was higher in the kernel than shell in both cultivars and local-ities for S1 and S3. The results of this study suggest that the different hazelnut cultivar features including physical and chemical components depend on season and locality, which offers im-portant clues for all those interested in the hazelnut industry.

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Section: Discussionmentioning

confidence: 56%

Antioxidant Performance in Hazelnut (<em>Corylus avellana</em> L.) Cultivars Shell Is Substantially Influenced by Season and Locality

Gavilán-CuiCui,

Padilla-Contreras,

Manterola-Barroso

et al. 2024

Preprint

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“…Pestalotiopsis sp. could cause disease on hazelnut husk in Turkey, which also infected hazelnut leaves and twigs with different severity (Sezer and Dolar, 2015). Hazelnut husk disease was found in several regions of Trabzon province, Turkey from 2008 to 2009.…”

Section: Discussionmentioning

confidence: 99%

“…Few official reports have been made. Sezer et al (Sezer and Dolar, 2012;2015; have been engaged in hazelnut disease research in Turkey for many years. B. cinerea, Pestalotiopsis sp.…”

Section: Introductionmentioning

confidence: 99%

Identification of a new Hazelnut disease in Liaoning Province: Hazelnut husk brown rot

Sun¹,

XIE²,

HAO³

et al. 2022

Biocell

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Hazelnut husk brown rot has been identified as a new disease in Liaoning Province in recent years. The objective of this study as to identify the pathogen. [Method] In this study, a standard sample of hazelnut husk brown rot was collected from Songmudao Base in Dalian City, Liaoning Province. The pathogen was identified by the studies of the morphology, pathogenicity, and analyses of ITS and LSU sequences. The pathogen was isolated and purified, which was confirmed by Koch's postulates. The symptoms after inoculation were the same as those collected directly from a diseased tree, which showed that it was the pathogenic fungus. The cultural characteristics and conidia and the morphology of the pathogenic fungi were similar to those of Botrytis cinerea's. The ITS sequences and LSU sequences were compared to the associated strain sequences in GenBank, with 100% identity to Botrytis cinerea (GenBank accession number: MN589848.1) and Botrytis cinerea (GenBank accession number: KU140653.1), respectively. The infection status of the pathogen on the hazelnut husks was also observed. The studies suggested that the pathogen leading to the hazelnut husk brown rot as a new disease in Liaoning Province was Botrytis cinerea.

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“…We cannot neglect the fungal community that co-occurs with Diaporthe spp., as researchers have reported an incidence greater than 10% for fungi isolated from defective hazelnuts in Turkey from the Botryosphaeria, Fusarium, Aspergillus, and Penicillium species [6]. Other authors have reported co-occurring fungi in hazelnuts in different geographic areas [17,34,35]. Co-occurring microorganisms of other pathosystems are catching the attention of scientists [36,37], and they have acquired increasing relevance due to climate change for mycotoxin-producing fungi [38][39][40].…”

Section: Discussionmentioning

confidence: 99%

DEFHAZ: A Mechanistic Weather-Driven Predictive Model for Diaporthe eres Infection and Defective Hazelnut Outbreaks

Leggieri

Arciuolo

Chiusa

et al. 2022

Plants

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The browning of the internal tissues of hazelnut kernels, which are visible when the nuts are cut in half, as well as the discolouration and brown spots on the kernel surface, are important defects that are mainly attributed to Diaporthe eres. The knowledge regarding the Diaporthe eres infection cycle and its interaction with hazelnut crops is incomplete. Nevertheless, we developed a mechanistic model called DEFHAZ. We considered georeferenced data on the occurrence of hazelnut defects from 2013 to 2020 from orchards in the Caucasus region and Turkey, supported by meteorological data, to run and validate the model. The predictive model inputs are the hourly meteorological data (air temperature, relative humidity, and rainfall), and the model output is the cumulative index (Dh-I), which we computed daily during the growing season till ripening/harvest time. We established the probability function, with a threshold of 1% of defective hazelnuts, to define the defect occurrence risk. We compared the predictions at early and full ripening with the observed data at the corresponding crop growth stages. In addition, we compared the predictions at early ripening with the defects observed at full ripening. Overall, the correct predictions were >80%, with <16% false negatives, which confirmed the model accuracy in predicting hazelnut defects, even in advance of the harvest. The DEFHAZ model could become a valuable support for hazelnut stakeholders.

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DETERMINATION OF Pestalotiopsis sp. CAUSING DISEASE ON FRUIT CLUSTERS IN HAZELNUT GROWING AREAS OF ORDU, GİRESUN AND TRABZON PROVINCES IN TURKEY

Cited by 8 publications

References 4 publications

Antioxidant Performance in Hazelnut (<em>Corylus avellana</em> L.) Cultivars Shell Is Substantially Influenced by Season and Locality

Antioxidant Performance in Hazelnut (<em>Corylus avellana</em> L.) Cultivars Shell Is Substantially Influenced by Season and Locality

Identification of a new Hazelnut disease in Liaoning Province: Hazelnut husk brown rot

DEFHAZ: A Mechanistic Weather-Driven Predictive Model for Diaporthe eres Infection and Defective Hazelnut Outbreaks

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