Mixed Linear Model Approaches for Quantitative Gen

<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>