Literature DB >> 18943690

Anisotropy, in density and in distance, of the dispersal of yellow rust of wheat: experiments in large field plots and estimation.

S Soubeyrand, J Enjalbert, A Sanchez, I Sache.   

Abstract

ABSTRACT Long-distance dispersal of spores generally presents anisotropy. This anisotropy can appear in the mean number of spores deposited along a given direction (anisotropy in density) and in the mean distance that a spore travels in a given direction (anisotropy in distance). Specific experiments together with a statistical methodology are proposed to study this effect. The experiments are based on the use of a point source of a traceable inoculum and susceptible trap plots in large resistant field plots. The anisotropy is characterized by two functions: a directional density function and a mean distance function which are related with the anisotropies in density and distance, respectively. A nonparametric approach is developed to estimate these functions and to help in choosing a parametric model. Then, the parametric model is estimated. In two field experiments, migrations up to 175 and 225 m from the source were detected, with approximately 25% of the trap plots infected. Whatever the experiment, the two estimated anisotropies presented different shapes (i.e., the number of spores dispersed in a given direction was not proportional to the mean distance travelled by these spores).

Entities:  

Year:  2007        PMID: 18943690     DOI: 10.1094/PHYTO-97-10-1315

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


  5 in total

1.  Accounting for biological variability and sampling scale: a multi-scale approach to building epidemic models.

Authors:  S Soubeyrand; G Thébaud; J Chadoeuf
Journal:  J R Soc Interface       Date:  2007-10-22       Impact factor: 4.118

2.  Long-distance wind-dispersal of spores in a fungal plant pathogen: estimation of anisotropic dispersal kernels from an extensive field experiment.

Authors:  Adrien Rieux; Samuel Soubeyrand; François Bonnot; Etienne K Klein; Josue E Ngando; Andreas Mehl; Virginie Ravigne; Jean Carlier; Luc de Lapeyre de Bellaire
Journal:  PLoS One       Date:  2014-08-12       Impact factor: 3.240

3.  Rotating and stacking genes can improve crop resistance durability while potentially selecting highly virulent pathogen strains.

Authors:  Rémi Crété; Rodrigo Neto Pires; Martin J Barbetti; Michael Renton
Journal:  Sci Rep       Date:  2020-11-12       Impact factor: 4.379

4.  Inferring long-distance connectivity shaped by air-mass movement for improved experimental design in aerobiology.

Authors:  Maria Choufany; Davide Martinetti; Samuel Soubeyrand; Cindy E Morris
Journal:  Sci Rep       Date:  2021-05-27       Impact factor: 4.379

5.  Assessing the durability and efficiency of landscape-based strategies to deploy plant resistance to pathogens.

Authors:  Loup Rimbaud; Julien Papaïx; Jean-François Rey; Luke G Barrett; Peter H Thrall
Journal:  PLoS Comput Biol       Date:  2018-04-12       Impact factor: 4.475

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.