Poster presented at Botany 2018 conference of the Botanical Society of America titled Hunting the treasure of Cape Oxalis diversity (Zeisek, Oberlander, Dreyer, Schmickl, Schneeweiss):

This year we can remind plenty of "eighth" anniversaries, including year 1938. Czechoslovakia was target of operation we use to call a hybrid war nowadays. Aggressor was not Putin's Russia, which is nowadays more (Ukraine, Georgia, Moldova, ...) or less (EU, North America) systematically destabilizing states, where it has power ambitions. That time aggressor was Hitler's Germany, which (similarly to contemporary Russia) misused its minorities in countries of central and eastern Europe to their destabilization and conquest.

Pour féliciter 2018!

Diploid populations of Valeriana officinalis L. (Valerianaceae) in Central Europe exhibit an extensive variation, with two conspicuous morphotypes. One, corresponding to the lectotype of V. officinalis, is larger, with broader, distinctly dentate leaflets, the other is in many respects similar to V. pratensis Dierb. and V. stolonifera ­Czern., but is glabrous, with narrow, usually entire leaflets. The two forms also differ in their ecological optimum and in geographical distribution, but are linked with numerous intermediates.

Don’t be afraid of command line! It is friendly and powerful tool. Practically identical is command line also in Mac OS X, BSD and another UNIX-based systems, not only in Linux. Basic knowledge of Linux is not conditional. Course will be taught in Linux, but most of the point are applicable also for another UNIX systems like Mac OS X. Knowledge of Linux/UNIX is useful e.g. for working with molecular and another data. MetaCentrum is service provided by CESNET allowing access to huge computational capacity.

R is nowadays probably the most powerful tool for statistics of all types. There are plenty of modules available for work with molecular data. Those will be introduced during the course. Previous knowledge of R is useful, but not necessary. If there is at least one participant not speaking Czech, the course will be in English.

The course will be extended this year, prolonged to 4 days and honored by 2 credits.

The Taraxacum flora of the West Himalaya represents one of the dandelion diversity hotspots, with at least 17 sections and about 150 known species. A number of names published from that region were referred to T. sect. Orientalia Handel-Mazzetti in the literature. All these names are revised and newly interpreted, with emphasis on plants erroneously determined as T. stenolepium. The revision is based on both older herbarium collections and a new material from expeditions of the late L. Klimeš. A new section, T. sect.

R is nowadays probably the most powerful tool for statistics of all types. There are plenty of modules available for work with molecular data. Those will be introduced during the course. Previous knowledge of R is useful, but not necessary. If there is at least one participant not speaking Czech, the course will be in English.

Don’t be afraid of command line! It is friendly and powerful tool. Practically identical is command line also in Mac OS X, BSD and another UNIX-based systems, not only in Linux. Basic knowledge of Linux is not conditional. Course will be taught in Linux, but most of the point are applicable also for another UNIX systems like Mac OS X. Knowledge of Linux/UNIX is useful e.g. for working with molecular and another data. MetaCentrum is service provided by CESNET allowing access to huge computational capacity.

There has been a decrease in the ability of biologists to identify their material correctly, particu- larly plants of complicated genera with common agamospermy, where old clonal entities are accorded the rank of species (microspecies). Agamospermous microspecies are taxonomic enti- ties recognizable from one another by a set of minute morphological features. The knowledge of microspecies is confined to a few specialists. Specialists usemicrospecies names but there could be inconsistencies in the taxonomic concepts used by different, geographically remote experts.