A. Mikaberidze

Economic analysis of disease and control of multi-field epidemics in agriculture

The paper estimates the economic cost of fungicide resistance evolution in crop epidemics and finds it depends on fungicide price, pathogen invasiveness, and other parameters.

How large and diverse are field populations of fungal plant pathogens? The case of Zymoseptoria tritici

The paper estimates genetic diversity and spore production in Zymoseptoria tritici populations, finding high numbers of genotypes and spores per hectare, suggesting adaptive mutations arise from existing variation.

Spatially explicit ecological modeling improves empirical characterization of dispersal

The paper develops a method to estimate dispersal kernels from dispersal gradients by incorporating source spatial extent, showing plant pathogens disperse shorter distances than previously estimated.

Measuring splash-dispersal of a major wheat pathogen in the field

The paper measures the dispersal of Zymoseptoria tritici in wheat fields using field experiments and mathematical modeling, finding a characteristic dispersal scale of tens of centimeters.

Improved control of Septoria tritici blotch in durum wheat using cultivar mixtures

The paper evaluates cultivar mixtures in durum wheat to control Septoria tritici blotch, finding that 25% resistant cultivar mixtures reduce disease severity by 50% compared to pure susceptible stands.

A polyetic modelling framework for plant disease emergence

This paper develops a polyetic model to simulate disease emergence in plants, showing that stochasticity and survival between seasons are critical for pathogen invasion.

A tradeoff between tolerance and resistance to a major fungal pathogen in elite wheat cultivars

The paper investigates tolerance and resistance to Zymoseptoria tritici in wheat, finding a tradeoff between the two strategies due to host resource limitations.

In-field detection and quantification of Septoria tritici blotch in diverse wheat germplasm using spectral-temporal features

This study uses spectral-temporal features from hyperspectral data to detect and quantify Septoria tritici blotch in wheat, showing improved specificity and robustness compared to single-timepoint measurements.

Precision phenotyping reveals novel loci for quantitative resistance to septoria tritici blotch in European winter wheat

The paper uses high-throughput automated phenotyping to identify novel genetic loci associated with quantitative resistance to septoria tritici blotch in wheat.

Ranking quantitative resistance to Septoria tritici blotch in elite wheat cultivars using automated image analysis

This study ranks wheat cultivars for resistance to Septoria tritici blotch using automated image analysis, finding that resistance affecting host damage and pathogen reproduction are distinct traits.