Literature DB >> 18943334

Quantifying the Rate of Release and Escape of Phytophthora infestans Sporangia from a Potato Canopy.

D E Aylor, W E Fry, H Mayton, J L Andrade-Piedra.   

Abstract

ABSTRACT A means for determining the rate of release, Q (spores per square meter per second), of spores from a source of inoculum is paramount for quantifying their further dispersal and the potential spread of disease. Values of Q were obtained for Phytophthora infestans sporangia released from an area source of diseased plants in a potato canopy by comparing the concentrations of airborne sporangia measured at several heights above the source, with the concentrations predicted by a Lagrangian Stochastic simulation model. An independent estimate of Q was obtained by quantifying the number of sporangia per unit area of source at the beginning of each sampling day by harvesting diseased plant tissue and enumerating sporangia from these samples. This standing spore crop was the potential number of sporangia released per area of source during the day. The standing spore crop was apportioned into time segments corresponding to sporangia concentration measurement periods using the time trace of sporangia sampled above the source by a Burkard continuous suction spore sampler. This apportionment of the standing spore crop yielded potential release rates that were compared with modeled release rates. The two independent estimates of Q were highly correlated (P = 0.003), indicating that the model has utility for predicting release rates for P. infestans sporangia and the spread of disease between fields.

Entities:  

Year:  2001        PMID: 18943334     DOI: 10.1094/PHYTO.2001.91.12.1189

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  7 in total

1.  Seasonal and diurnal patterns of spore release can significantly affect the proportion of spores expected to undergo long-distance dispersal.

Authors:  David Savage; Martin J Barbetti; William J MacLeod; Moin U Salam; Michael Renton
Journal:  Microb Ecol       Date:  2011-10-04       Impact factor: 4.552

2.  The Loricrin-Like Protein (LLP) of Phytophthora infestans Is Required for Oospore Formation and Plant Infection.

Authors:  Ting Guo; Xiao-Wen Wang; Kun Shan; Wenxian Sun; Li-Yun Guo
Journal:  Front Plant Sci       Date:  2017-02-09       Impact factor: 5.753

3.  Population genomics of an outbreak of the potato late blight pathogen, Phytophthora infestans, reveals both clonality and high genotypic diversity.

Authors:  Sundy Maurice; Melanie S Montes; Bent J Nielsen; Lars Bødker; Michael D Martin; Carina G Jønck; Rasmus Kjøller; Søren Rosendahl
Journal:  Mol Plant Pathol       Date:  2019-05-30       Impact factor: 5.663

4.  Genotyping by sequencing suggests overwintering of Peronospora destructor in southwestern Québec, Canada.

Authors:  Hervé Van der Heyden; Pierre Dutilleul; Marc-Olivier Duceppe; Guillaume J Bilodeau; Jean-Benoît Charron; Odile Carisse
Journal:  Mol Plant Pathol       Date:  2021-12-17       Impact factor: 5.663

Review 5.  Computational models in plant-pathogen interactions: the case of Phytophthora infestans.

Authors:  Andrés Pinzón; Emiliano Barreto; Adriana Bernal; Luke Achenie; Andres F González Barrios; Raúl Isea; Silvia Restrepo
Journal:  Theor Biol Med Model       Date:  2009-11-12       Impact factor: 2.432

6.  Myb transcription factors and light regulate sporulation in the oomycete Phytophthora infestans.

Authors:  Qijun Xiang; Howard S Judelson
Journal:  PLoS One       Date:  2014-04-04       Impact factor: 3.240

7.  A Quantitative Dynamic Simulation of Bremia lactucae Airborne Conidia Concentration above a Lettuce Canopy.

Authors:  Mamadou Lamine Fall; Hervé Van der Heyden; Odile Carisse
Journal:  PLoS One       Date:  2016-03-08       Impact factor: 3.240

  7 in total

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