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BKBreed
View on CRAN: Click
here
Download and install BKBreed package within the R console
Install from CRAN:
install.packages("BKBreed")
Install from Github:
library("remotes")
install_github("cran/BKBreed") Install by package version:
library("remotes")
install_version("BKBreed", "0.3.2") Attach the package and use:
library("BKBreed")
Maintained by
Praveen Kumar B. K.
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[Scholar Profile | Author Map]
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First Published: 2026-07-30
Latest Update: 2026-07-30
Description:
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.
How to cite:
Praveen Kumar B. K. (2026). BKBreed: Colourful Biometrical Analysis for Plant Breeding and Genetics. R package version 0.3.2, https://cran.r-project.org/web/packages/BKBreed. Accessed 03 Oct. 2026.
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