Literature DB >> 27442537

Season-Long Dynamics of Spinach Downy Mildew Determined by Spore Trapping and Disease Incidence.

R A Choudhury1, S T Koike1, A D Fox1, A Anchieta1, K V Subbarao1, S J Klosterman1, N McRoberts1.   

Abstract

Peronospora effusa is an obligate oomycete that causes downy mildew of spinach. Downy mildew threatens sustainable production of fresh market organic spinach in California, and routine fungicide sprays are often necessary for conventional production. In this study, airborne P. effusa spores were collected using rotating arm impaction spore trap samplers at four sites in the Salinas Valley between late January and early June in 2013 and 2014. Levels of P. effusa DNA were determined by a species-specific quantitative polymerase chain reaction assay. Peronospora effusa was detected prior to and during the growing season in both years. Nonlinear time series analyses on the data suggested that the within-season dynamics of P. effusa airborne inoculum are characterized by a mixture of chaotic, deterministic, and stochastic features, with successive data points somewhat predictable from the previous values in the series. Analyses of concentrations of airborne P. effusa suggest both an exponential increase in concentration over the course of the season and oscillations around the increasing average value that had season-specific periodicity around 30, 45, and 75 days, values that are close to whole multiples of the combined pathogen latent and infectious periods. Each unit increase in temperature was correlated with 1.7 to 6% increased odds of an increase in DNA copy numbers, while each unit decrease in wind speed was correlated with 4 to 12.7% increased odds of an increase in DNA copy numbers. Disease incidence was correlated with airborne P. effusa levels and weather variables, and a receiver operating characteristic curve analysis suggested that P. effusa DNA copy numbers determined from the spore traps nine days prior to disease rating could predict disease incidence.

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Year:  2016        PMID: 27442537     DOI: 10.1094/PHYTO-12-15-0333-R

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


  4 in total

1.  Predicting the risk of cucurbit downy mildew in the eastern United States using an integrated aerobiological model.

Authors:  K N Neufeld; A P Keinath; B K Gugino; M T McGrath; E J Sikora; S A Miller; M L Ivey; D B Langston; B Dutta; T Keever; A Sims; P S Ojiambo
Journal:  Int J Biometeorol       Date:  2017-11-25       Impact factor: 3.787

2.  Transcriptional analyses of differential cultivars during resistant and susceptible interactions with Peronospora effusa, the causal agent of spinach downy mildew.

Authors:  Shyam L Kandel; Amanda M Hulse-Kemp; Kevin Stoffel; Steven T Koike; Ainong Shi; Beiquan Mou; Allen Van Deynze; Steven J Klosterman
Journal:  Sci Rep       Date:  2020-04-21       Impact factor: 4.379

Review 3.  Fantastic Downy Mildew Pathogens and How to Find Them: Advances in Detection and Diagnostics.

Authors:  Andres F Salcedo; Savithri Purayannur; Jeffrey R Standish; Timothy Miles; Lindsey Thiessen; Lina M Quesada-Ocampo
Journal:  Plants (Basel)       Date:  2021-02-25

4.  Automatic detection and counting of urediniospores of Puccinia striiformis f. sp. tritici using spore traps and image processing.

Authors:  Yu Lei; Zhifeng Yao; Dongjian He
Journal:  Sci Rep       Date:  2018-09-11       Impact factor: 4.379

  4 in total

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