Colourful Biometrical Analysis for Plant Breeding and Genetics // A compact, colour-first toolkit for the analysis of plant breeding and genetics field experiments. It provides analysis of variance for the randomised block design (RBD) and factorial RBD, a check-anchored intra-block analysis for augmented alpha- lattice designs, and the core biometrical-genetics workflow used in crop improvement: estimation of genetic variability (genotypic and phenotypic coefficients of variation, broad- sense heritability, expected genetic advance), genotypic and phenotypic correlation, path-coefficient analysis, line x tester and Griffing diallel combining-ability analysis (general combining ability and specific combining ability), Mahalanobis D-square genetic-divergence analysis with Tocher and hierarchical clustering, and genotype-by-environment stability analysis (Eberhart-Russell regression and the additive main effects and multiplicative interaction (AMMI) model). Methods follow Griffing (1956) doi:10.1071/BI9560463 and Eberhart and Russell (1966) doi:10.2135/cropsci1966.0011183X000600010011x. Every analysis returns a tidy result object and a publication- ready 'ggplot2' figure using a bespoke high-contrast colour system.