Data and code for: Parasitic stress dynamics in a novel host - Responses of Arctium lappa L. to multiple races of Orobanche cumana Wallr.

This repository contains the raw experimental data and complete analysis code (Python and R) supporting the manuscript "Parasitic stress dynamics in a novel host: Responses of Arctium lappa L. to multiple races of Orobanche cumana Wallr." (Petrova & Stoyanov, submitted to Stresses, MDPI). Included are: (1) raw plant-level tubercle count data (600 observations across four host genotypes and three Orobanche cumana races); (2) Python scripts for descriptive statistics, data visualization (violin plot, heatmap), and AMMI analysis of variance; (3) R scripts for negative binomial generalized linear modeling, AMMI/GGE biplot analysis (metan package), and a diagnostic assessment of pseudoreplication risk arising from the container-level experimental design, including intraclass correlation (ICC) and design effect estimation, spatial autocorrelation testing (Moran's I), and a Monte Carlo simulation of Type I error inflation and statistical power under naive versus properly replicated analysis. No data are withheld; this deposit is provided in response to a peer-review request for full data and code transparency.