Literature DB >> 18943552

Qualification of a Plant Disease Simulation Model: Performance of the LATEBLIGHT Model Across a Broad Range of Environments.

Jorge L Andrade-Piedra, Gregory A Forbes, Dani Shtienberg, Niklaus J Grünwald, María G Chacón, Marco V Taipe, Robert J Hijmans, William E Fry.   

Abstract

ABSTRACT The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage. Late blight epidemics from Ecuador, Mexico, Israel, and the United States involving 13 potato cultivars (32 epidemics in total) were compared with model predictions using graphical and statistical tests. Fungicides were not applied in any of the epidemics. For the simulations, a host resistance level was assigned to each cultivar based on general categories reported by local investigators. For eight cultivars, the model predictions fit the observed data. For four cultivars, the model predictions overestimated disease, likely due to inaccurate estimates of host resistance. Model predictions were inconsistent for one cultivar and for one location. It was concluded that the domain of applicability of LATEBLIGHT can be extended from the range of conditions in Peru for which it has been previously validated to those observed in this study. A sensitivity analysis showed that, within the range of values observed empirically, LATEBLIGHT is more sensitive to changes in variables related to initial inoculum and to weather than to changes in variables relating to host resistance.

Entities:  

Year:  2005        PMID: 18943552     DOI: 10.1094/PHYTO-95-1412

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


  2 in total

Review 1.  Geosensors to support crop production: current applications and user requirements.

Authors:  Sirpa Thessler; Lammert Kooistra; Frederick Teye; Hanna Huitu; Arnold K Bregt
Journal:  Sensors (Basel)       Date:  2011-06-27       Impact factor: 3.576

2.  Wireless in-situ Sensor Network for Agriculture and Water Monitoring on a River Basin Scale in Southern Finland: Evaluation from a Data User's Perspective.

Authors:  Niina Kotamäki; Sirpa Thessler; Jari Koskiaho; Asko O Hannukkala; Hanna Huitu; Timo Huttula; Jukka Havento; Markku Järvenpää
Journal:  Sensors (Basel)       Date:  2009-04-21       Impact factor: 3.576

  2 in total

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