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Plant breeders and educators working with the International Potato Center (CIP) needed freely available statistical tools. In response, we created first a set of scripts for specific tasks using the open source statistical software R. Based on this we eventually compiled the R package agricolae as it covered a niche. Here we describe for the first time its main functions in the form of an article. We also review its reception using download statistics, citation data, and feedback from a user survey. We highlight usage in our extended network of collaborators. The package has found applications beyond agriculture in fields like aquaculture, ecology, biodiversity, conservation biology and cancer research. In summary, the package agricolae is a well established statistical toolbox based on R with a broad range of applications in design and analyses of experiments also in the wider biological community .

Genebanks increasingly use molecular markers for routine characterization of ex-situ collections and farmer managed diversity. The International Potato Center presently uses a SSR marker-kit to create molecular profiles for potato accessions. We identified a need for a compact graphical representation that allows comparative presentation of molecular diversity and accession characteristics - thereby permitting biologists and collection curators to have a simple means to interpret molecular data. Inspired by the ancient Andean qipus we devised a graph that standardizes representation while leaving room for updates of the marker kit and the collection of accessions. The molecular khipu permits combining and annotating a set of SSR loci with allele frequency and allele size distribution information. The design is flexible to incorporate updates on genetic diversity information. Graphical means facilitate reading of allele diversity information. As a compact graphical view it facilitates information storage and exchange. The SSR khipu will be useful to other genebanks and breeders. Software to create graphics in single or batch mode is available as R package ’khipu’.