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Copra (/ˈkoʊprə/, also /ˈkɒprə/; from Malayalam, koppara or kopra) is the dried, white flesh of the coconut from which coconut oil is extracted. Traditionally, the coconuts are sun-dried, especially for export, before the oil, also known as copra oil, is pressed out.
The analysis highlights Production, Animal feed and Shipment as prominent areas in the source structure around Copra.
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 Copra shows recurring relationship patterns in the source. For example, Copra → CIF Rotterdam, Coconut, Financial Times, In, Indonesia, Million, November, Papua New Guinea, Philippines, Solomon Islands, The, US, Vanuatu Another extracted example is Copra → Before, Daily Value, DV, In, It, Raw, USDA. 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.
coconut oil meat drying meal protein known production also extracted cake used 20 dried us raw 12 water acid fat
TTTA extracted 63 structured relationships around Copra. Examples in this analysis include Copra → Calcium → 1% 14 mg and Copra → Carbohydrates → 15.2. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Copra | Calcium | 1% 14 mg | 1.00 | infobox |
| Copra | Carbohydrates | 15.2 | 1.00 | infobox |
| Copra | Dietary fiber | 9 g | 1.00 | infobox |
| Copra | Energy | 354 kcal (1,480 kJ) | 1.00 | infobox |
| Copra | Fat | 33.5 | 1.00 | infobox |
| Copra | Folate (B9) | 7% 26 μg | 1.00 | infobox |
| Copra | Iron | 14% 2.43 mg | 1.00 | infobox |
| Copra | Magnesium | 8% 32 mg | 1.00 | infobox |
| Copra | Minerals | Quantity %DV† | 1.00 | infobox |
| Copra | Niacin (B3) | 3% 0.54 mg | 1.00 | infobox |
| Copra | Other constituents | Quantity | 1.00 | infobox |
| Copra | Pantothenic acid (B5) | 20% 1.014 mg | 1.00 | infobox |
| Copra | Phosphorus | 9% 113 mg | 1.00 | infobox |
| Copra | Potassium | 12% 356 mg | 1.00 | infobox |
| Copra | Protein | 3.3 g | 1.00 | infobox |
| Copra | Riboflavin (B2) | 2% 0.02 mg | 1.00 | infobox |
| Copra | Sodium | 1% 20 mg | 1.00 | infobox |
| Copra | Sugars | 6.23 | 1.00 | infobox |
| Copra | Thiamine (B1) | 6% 0.066 mg | 1.00 | infobox |
| Copra | Vitamin B6 | 3% 0.05 mg | 1.00 | infobox |
| Copra | Vitamin C | 4% 3.3 mg | 1.00 | infobox |
| Copra | Vitamin E | 2% 0.24 mg | 1.00 | infobox |
| Copra | Vitamin K | 0% 0.2 μg | 1.00 | infobox |
| Copra | Vitamins | Quantity %DV† | 1.00 | infobox |
| Copra | Vitamins and minerals | Vitamins and minerals VitaminsQuantity %DV†Thiamine (B1)6% 0.066 mgRiboflavin (B2)2% 0.02 mgNiacin (B3)3% 0.54 mgPantothenic acid (B5)20% 1.014 mgVitamin B63% 0.05 mgFolate (B9)… | 1.00 | infobox |
| Copra | Water | 47 | 1.00 | infobox |
| Copra | Zinc | 10% 1.1 mg | 1.00 | infobox |
| Copra | is a | Philippines | 0.90 | text |
The concept neighborhoods around Copra bring nearby vocabulary together. In this analysis, examples include Meal, Oil and Coconut. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Copra, one of the stronger structural bridges in this analysis connects Copra with Production. 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 Copra to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Production, Animal feed & Shipment, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Copra · EN edition · Analysis: TopicsToTalkAbout