Use of systems analysis to develop plant disease models based on literature data: grape black-rot as a case-study

Rossi, Vittorio; Onesti, Giovanni; Legler, Sara Elisabetta; Caffi, Tito

doi:10.1007/s10658-014-0553-z

Cited by 22 publications

(45 citation statements)

References 33 publications

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“…Degree-days were calculated as in Rossi et al (2014) for ascospores (DD 9-25 for PSA) and for conidia (DD 10 for PSC). To study the dynamics of spore release over time, the cumulative number of ascospores and conidia found in the runoff water at different times was expressed as a proportion of the total seasonal ascospores (PSA) or a proportion of the seasonal conidia (PSC).…”

Section: Discussionmentioning

confidence: 99%

“…Rossi et al (2014) and Onesti et al (2016) indicated that the weather conditions were less conducive for the disease in 2012 and 2013 than in 2014. Although the amount of mummies used each year was the same (20 g per spore sampler), the mummies may have differed in their level of G. bidwellii colonisation and in the stromata-bearing pycnidia and ascomata, depending on bunch disease severity and weather conditions in the vineyards where the mummies were collected.…”

Section: Discussionmentioning

confidence: 99%

“…van der Aa] can substantially reduce yield and wine quality in grapegrowing areas with warm and moist conditions in spring and early summer (Scribner 1886, Ferrin and Ramsdell 1977, 1978, Ellis et al 1986, Ramsdell and Milholland 1988, Funt et al 1990, Harms et al 2005. Even though the anamorph was recommended as the unique name of the fungus (Hawksworth et al 2011), the name G. bidwellii is more commonly used by researchers and advisors (Rossi et al 2014, Weigle 2017.…”

Section: Introductionmentioning

confidence: 99%

“…Conidia from pycnidia on canes were released from budburst until harvest (Becker and Pearson 1996). Rossi et al (2014) used the information from the papers cited in the previous paragraph to develop and parameterise equations relating the number of days after budburst of vines or accumulated degree-days (DD) to cumulative numbers of air-borne ascospores trapped over the season. These equations had higher R 2 values for DD (0.97) than for days after budburst (0.87), indicating that ascospore release during the season is temperature dependent.…”

Section: Introductionmentioning

confidence: 99%

“…Rossi et al (2014) used the information from the papers cited in the previous paragraph to develop and parameterise equations relating the number of days after budburst of vines or accumulated degree-days (DD) to cumulative numbers of air-borne ascospores trapped over the season. Similarly, Rossi et al (2014) used published data and an equation based on the DD accumulated after budburst to describe the cumulative proportion of mature conidia released from mummies. Similarly, Rossi et al (2014) used published data and an equation based on the DD accumulated after budburst to describe the cumulative proportion of mature conidia released from mummies.…”

Section: Introductionmentioning

confidence: 99%

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Release ofGuignardia bidwelliiascospores and conidia from overwintered grape berry mummies in the vineyard

Onesti

González‐Domínguez

Manstretta

et al. 2017

Australian Journal of Grape and Wine Research

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Background and Aims Black rot, caused by Guignardia bidwellii, is a polycyclic grape disease with repeated primary and secondary infections. In this work, the release of primary inoculum (both ascospores and conidia) from overwintered grape mummies was studied over a 3‐year period. Methods and Results A spore sampler was designed consisting of: (i) a funnel for collecting spores washed off from grape mummies by rain; and (ii) microscope slides for spores being airborne in the proximity of mummies. Ascospores and conidia were frequently found in the runoff water; Gompertz equations were developed describing their seasonal cumulative numbers as a function of degree‐days, with R2 ≥ 0.92. The number of both spore types in the runoff water significantly increased as the amount of rain and its duration and intensity increased; >1 and >3 mm of rain were the best cut‐off points for predicting the release of conidia and ascospores, respectively. No ascospores were found on the microscope slides, but conidia were found on rainy days, clustered in circular areas, probably due to droplets splashing from mummies to slides during rainfall. Conclusions This work provides new information on the inoculum dynamics of G. bidwellii in vineyards that can be used in refining disease prediction models for improved disease control. Significance of the Study New equations were developed to describe the dynamics of G. bidwellii spore release as a function of degree‐days, and 1 and 3 mm of rain have been proposed as cut‐off values to predict the release of conidia and ascospores, respectively. This information could be incorporated into the mathematical models supporting the decision‐making for disease control.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Release ofGuignardia bidwelliiascospores and conidia from overwintered grape berry mummies in the vineyard

Onesti

González‐Domínguez

Manstretta

et al. 2017

Australian Journal of Grape and Wine Research

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Accurate prediction of black rot epidemics in vineyards using a weather-driven disease model

2016

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Composition and evaluation of a novel web-based decision support system for grape black rot control

Molitor

Augenstein²,

Mugnai

et al. 2015

Eur J Plant Pathol

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Black rot on grapevine is a fungal disease c a u s e d b y P h y l l o s t i c t a a m p e l i c i d a (s y n. Guignardia bidwellii) affecting grape leaves as well as clusters. A novel black rot decision support system termed VitiMeteo Black rot was assembled based on existing sub-models and incorporated into the established VitiMeteo forecast and decision support platform. Based on local weather data and a 5-day weather forecast, VitiMeteo Black rot simulates the relative susceptibility of grape clusters, the occurrence

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Use of systems analysis to develop plant disease models based on literature data: grape black-rot as a case-study

Cited by 22 publications

References 33 publications

Release ofGuignardia bidwelliiascospores and conidia from overwintered grape berry mummies in the vineyard

Release ofGuignardia bidwelliiascospores and conidia from overwintered grape berry mummies in the vineyard

Accurate prediction of black rot epidemics in vineyards using a weather-driven disease model

Composition and evaluation of a novel web-based decision support system for grape black rot control

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