Standards > terminology artifact > DOI:10.25504/FAIRsharing.g78mbm

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ready Livestock Product Trait Ontology

Abbreviation:LPT


General Information
The Livestock Product Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to products produced by or obtained from the body of an agricultural animal or bird maintained for use and profit.

How to cite this record: FAIRsharing.org: LPT; Livestock Product Trait Ontology; DOI: https://doi.org/10.25504/FAIRsharing.g78mbm; Last edited: Feb. 22, 2018, 2:38 p.m.; Last accessed: Apr 23 2018 4:24 p.m.

Homepage http://bioportal.bioontology.org/ontologies/LPT

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Created in 2016

Taxonomic range







Record added: Oct. 24, 2017, 9:41 a.m.
Record updated: Feb. 22, 2018, 2:38 p.m.


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Additional Information

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Schemas

No XSD schemas defined


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Publications

No publications available


LPT Ontology Display

View in BioPortal.


Disclaimer: This widget assumes the availability of the ontology resources in the NCBO BioPortal.


Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

No semantic standards defined

Models and Formats

No syntax standards defined

Identifier Schemas

No identifier schema standards defined


Implementing Databases (2)
Animal Quantitative Trait Loci (QTL) Database
The Animal Quantitative Trait Loci (QTL) Database (Animal QTLdb) strives to collect all publicly available trait mapping data, i.e. QTL (phenotype/expression, eQTL), candidate gene and association data (GWAS), and copy number variations (CNV) mapped to livestock animal genomes, in order to facilitate locating and comparing discoveries within and between species. New data and database tools are continually developed to align various trait mapping data to map-based genome features such as annotated genes.

Animal Trait Correlation Database
A genetic correlation is the proportion of shared variance between two traits that is due to genetic causes; a phenotypic correlation is the degree to which two traits co-vary among individuals in a population. In the genomics era, while gene expression, genetic association, and network analysis provide unprecedented means to decode the genetic basis of complex phenotypes, it is important to recognize the possible effects genetic progress in one trait can have on other traits. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies

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