Return to search results
Mixed Linear Model Approaches for Quantitative Gen
Purpose
Computer software for estimating variance and covariance components, correlations, and predicting genetic effects.
Software Description
We describe a suite of genetic software that employs mixed linear model approaches. The various components relate to three categories, viz, genetic models for diallel crosses, seed traits, and developmental traits. It can also be used to analyze regional agronomic trials.
This software has several features:
Handles complicated genetic models for agronomic traits, seed traits, and developmental traits
Analyzes unbalanced data
Utilizes jackknifing techniques to test the significance of each genetic parameter
Provides some important references containing results
Fast computation
Resources in this dataset:Resource Title: Mixed Linear Model Approaches for Quantitative Gen. File Name: Web Page, url: https://www.ars.usda.gov/research/software/download/?softwareid=199&modecode=60-64-05-10 download page
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"005:18"
]
|
| contactPoint |
{
"fn": "Jenkins, Johnie",
"hasEmail": "mailto:Johnie.Jenkins@ars.usda.gov"
}
|
| description | <p><strong>Purpose</strong></p> <p>Computer software for estimating variance and covariance components, correlations, and predicting genetic effects.</p> <p><strong>Software Description</strong></p> <p>We describe a suite of genetic software that employs mixed linear model approaches. The various components relate to three categories, viz, genetic models for diallel crosses, seed traits, and developmental traits. It can also be used to analyze regional agronomic trials.</p> <p>This software has several features:</p> <ol> <li>Handles complicated genetic models for agronomic traits, seed traits, and developmental traits</li> <li>Analyzes unbalanced data</li> <li>Utilizes jackknifing techniques to test the significance of each genetic parameter</li> <li>Provides some important references containing results</li> <li> <p>Fast computation</p> <div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Mixed Linear Model Approaches for Quantitative Gen.</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/research/software/download/?softwareid=199&modecode=60-64-05-10" target="_blank">https://www.ars.usda.gov/research/software/download/?softwareid=199&modecode=60-64-05-10</a> </p><p>download page</p></li></ul> </li> </ol> |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "https://www.ars.usda.gov/research/software/download/?softwareid=199&modecode=60-64-05-10",
"mediaType": "text/html",
"downloadURL": "https://www.ars.usda.gov/research/software/download/?softwareid=199&modecode=60-64-05-10"
}
]
|
| identifier | 10113/AA22699 |
| keyword |
[
"agronomic traits",
"computer software",
"covariance",
"diallel analysis",
"genetic models",
"linear models",
"models",
"prediction",
"variance"
]
|
| license | https://creativecommons.org/publicdomain/zero/1.0/ |
| modified | 2023-11-30 |
| programCode |
[
"005:040"
]
|
| publisher |
{
"name": "Agricultural Research Service",
"@type": "org:Organization"
}
|
| title | Mixed Linear Model Approaches for Quantitative Gen |
