grain and figure
Term · Agriculture and food · MLC-T-AGR-002955
The figure of a wood refers to the pattern caused by color differences in the wood, and is also the pattern created by different types of grain. Grain refers to the direction in which the fibers of the wood are running. Types of grain include: straight, wavy, irregular, spiral, curly, interlocking and birds-eye. These wood properties are interrelated and the terms are frequently used together.
| Identifier | MLC-T-AGR-002955 |
|---|---|
| Field | Agriculture and food |
| Subject | Research, Technology, Methods |
| Synonyms | figured wood; grained wood; wood figure; wood grain |
| References | NAL Agricultural Thesaurus and Glossary |
| See also | wood properties; birds-eye wood; wood spalting; burl wood; curly-grained wood; cross-grained wood; quarter-sawn wood; close-grained wood; coarse-grained wood; flat-grained wood |
| Translations | Spanish: vetas y dibujo |
Record as JSON
{
"id": "MLC-T-AGR-002955",
"term": "grain and figure",
"field": "Agriculture and food",
"definition": "The figure of a wood refers to the pattern caused by color differences in the wood, and is also the pattern created by different types of grain. Grain refers to the direction in which the fibers of the wood are running. Types of grain include: straight, wavy, irregular, spiral, curly, interlocking and birds-eye. These wood properties are interrelated and the terms are frequently used together.",
"synonyms": [
"figured wood",
"grained wood",
"wood figure",
"wood grain"
],
"subject": "Research, Technology, Methods",
"see_also": [
"wood properties",
"birds-eye wood",
"wood spalting",
"burl wood",
"curly-grained wood",
"cross-grained wood",
"quarter-sawn wood",
"close-grained wood",
"coarse-grained wood",
"flat-grained wood"
],
"references": [
"NAL Agricultural Thesaurus and Glossary"
],
"translations": {
"es": "vetas y dibujo"
},
"url": "https://mlchart.com/terminology/agriculture/grain-and-figure/"
}
Record 2,955 of 6,908 in Agriculture and food terminology (MLC-0114). Request the full dataset.