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20240401232350.0 |
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231226s2024 xx |||||o 00| ||eng c |
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|a 10.1094/PDIS-08-23-1600-RE
|2 doi
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|a pubmed24n1359.xml
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|a (NLM)37787686
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Ji, Tao
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Temporal Dynamics and Dispersal Patterns of the Primary Inoculum of Coniella diplodiella, the Causal Agent of Grape White Rot
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| 264 |
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1 |
|c 2024
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 01.04.2024
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|a Date Revised 01.04.2024
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Grape white rot can cause considerable yield losses in viticulture areas worldwide and is principally caused by Coniella diplodiella. The fungus overwinters in berry mummies on the soil surface or on the trellis and produces pycnidia and conidia that serve as primary inoculum. However, little is known about the temporal dynamics and dispersal pattern of C. diplodiella conidia. In this study, we investigated the production and dispersal of C. diplodiella conidia from a primary inoculum source, namely, affected mummified berries that overwintered in two vineyards in northern Italy in 2021 and 2022. Conidia of C. diplodiella were repeatedly produced in berry mummies from the budburst of vines to harvesting, with approximately 50 and 75% of the total conidia in a season being produced before fruit set and véraison, respectively. The production dynamics of C. diplodiella conidia over time were described by a Weibull equation in which the thermal time is the independent variable, with a concordance correlation coefficient of ≥0.964. A rainfall cutoff of ≥0.2 mm provided an overall accuracy of ≥0.86 in predicting conidial dispersal through rain splashes from berry mummies on the soil surface, with the number of dispersed conidia increasing with the amount of rainfall. The dispersal of conidia from mummies on the trellis by washing with rain required at least 6.1 mm of rain. The proposed mathematical equations and rain cutoffs can be used to predict periods with a high dispersal risk of C. diplodiella
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| 650 |
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|a Journal Article
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| 650 |
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4 |
|a Bayesian analysis
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| 650 |
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4 |
|a conidial dispersal
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| 650 |
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4 |
|a mathematical equations
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| 650 |
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4 |
|a primary inoculum
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| 650 |
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4 |
|a production dynamics
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| 650 |
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7 |
|a Soil
|2 NLM
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| 700 |
1 |
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|a Languasco, Luca
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Salotti, Irene
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Li, Ming
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Rossi, Vittorio
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Plant disease
|d 1997
|g 108(2024), 3 vom: 11. März, Seite 757-768
|w (DE-627)NLM098181742
|x 0191-2917
|7 nnns
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| 773 |
1 |
8 |
|g volume:108
|g year:2024
|g number:3
|g day:11
|g month:03
|g pages:757-768
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1094/PDIS-08-23-1600-RE
|3 Volltext
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