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Lilek černý (Solanum nigrum) je jednoletá jedovatá bylina z čeledi lilkovitých. Vyskytuje se téměř v celé Evropě (s výjimkou nejsevernějších částí Britských ostrovů a Skandinávie), na západní a jihozápadní Sibiři, ve Střední Asii, v Indii, ve východní Číně, na Sachalinu, v Japonsku a v severovýchodním cípu Afriky (Niger, Nigérie, Somálsko aj.). Do USA…
The analysis highlights Obsahové látky, Vzhled and Výskyt as prominent areas in the source structure around Lilek černý.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Lilek černý shows recurring relationship patterns in the source. For example, Lilek černý → Arcangeli, Bastard, Berchtold, Bernhardi, Besser, Desportes, Desvaux, Dillenův, Dunal, Hegetschweiler, Kanitz, Kitaibel, Lamarck, Marzell, Miller, Monnet, Nyman, Opiz, Poiret, Presl Another extracted example is Lilek černý → Academia, BLAŽEK, Ed, Ilustrace Ludmila Jiřincová, JIRÁSEK, Kapitola Solanum, Květena, Nakladatelství, Naše, Praha, Rudolf, Slavík, Václav, ZADINA, Zdeněk. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
lilek solanum černý nigrum jsou in subsp opiz 1843 et vyskytuje nitens rostliny výskyt von 1814 lilku zřejmě listy účinky
TTTA extracted 60 structured relationships around Lilek černý. Examples in this analysis include Lilek černý → Oddělení → krytosemenné (Magnoliophyta) and Lilek černý → Podříše → cévnaté rostliny (Tracheobionta). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Lilek černý | Oddělení | krytosemenné (Magnoliophyta) | 1.00 | infobox |
| Lilek černý | Podříše | cévnaté rostliny (Tracheobionta) | 1.00 | infobox |
| Lilek černý | Rod | lilek (Solanum) | 1.00 | infobox |
| Lilek černý | Třída | vyšší dvouděložné (Rosopsida) | 1.00 | infobox |
| Lilek černý | Čeleď | lilkovité (Solanaceae) | 1.00 | infobox |
| Lilek černý | Řád | lilkotvaré (Solanales) | 1.00 | infobox |
| Lilek černý | Říše | rostliny (Plantae) | 1.00 | infobox |
| Lilek černý | related to Externí odkazy | Obrázky | 0.60 | section |
| Lilek černý | related to Externí odkazy | Wikimedia Commons Galerie | 0.60 | section |
| Lilek černý | related to Externí odkazy | Wikimedia Commons Slovníkové | 0.60 | section |
| Lilek černý | related to Externí odkazy | Wikislovníku Taxon Solanum | 0.60 | section |
| Lilek černý | related to Externí odkazy | WikidruzíchLilek | 0.60 | section |
The concept neighborhoods around Lilek černý bring nearby vocabulary together. In this analysis, examples include Lilek, Nigrum and Černý. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Lilek černý, one of the stronger structural bridges in this analysis connects Lilek černý with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Lilek černý to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Obsahové látky, Vzhled & Výskyt, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Lilek černý · CS edition · Analysis: TopicsToTalkAbout