rhoneycomb: An R package for the construction and analysis of honeycomb selection designs

Katsileros, Anastasios; Antonetsis, Nikolaos; Gkika, Maria-Georgia; Tani, Eleni; Tokatlidis, Ioannis S.; Bebeli, Penelope J.

doi:10.1016/j.simpa.2023.100490

Cited by 1 publication

(2 citation statements)

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“…Due to enlarged inter-plant distance, HSDs require large areas, while it is not always easy to mechanize experimental establishment and harvesting. For the construction and statistical analysis of HSDs, two statistical software are available, i.e., the 'Prognostic Breeding Application' (JMP Add-In program) [19] and the 'rhoneycomb' package in R [20].…”

Section: Introductionmentioning

confidence: 99%

“…This paper aims to thoroughly present the 'rhoneycomb' package, a free and open-source statistical tool for constructing, visualizing, and analyzing HSDs. The first version of this package was introduced at the 18th Conference of the 'Hellenic Scientific Society of Genetics and Plant Breeding' [22]. We present a summary of HSDs' general characteristics, the construction and analysis adapted to the 'rhoneycomb' R package, and then instructions for using this software.…”

Section: Introductionmentioning

confidence: 99%

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An In-Depth Presentation of the ‘rhoneycomb’ R Package to Construct and Analyze Field-Experimentation ‘Honeycomb Selection Designs’

et al. 2023

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The Honeycomb Selection Design (HSD) is an innovative experimental method whose main feature is the even and systematic entry arrangement. Its systematicity, if combined with the absence of inter-plant competition that maximizes the phenotypic expression and differentiation of individual plants, enables the implementation of single-plant selection as early as the initial generations of genetic segregation, facilitating plant breeders to identify superior genotypes. Due to the specificity of entry allocation and the complexity of statistical data analysis, a specialized software becomes necessary. This article provides a detailed presentation of the ‘rhoneycomb’, a free and open-source R package concerning the construction, visualization, and analysis of HSDs.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%