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Mixed Linear Model Approaches for Quantitative Gen
 

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Wu, J., Zhu, J., Jenkins, J. N.  Mixed linear model approaches for quantitave genetic models. pp. 171-180.  In Handbook of Formulas and Sortware for Plant Geneticists and Breeders, M. S. Kang (ed.).  The Haworth Press, Binghamtion, NY.  2003.

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:

  1. Handles complicated genetic models for agronomic traits, seed traits, and developmental traits
  2. Analyzes unbalanced data
  3. Utilizes jackknifing techniques to test the significance of each genetic parameter
  4. Provides some important references containing results
  5. Fast computation

System Requirements

Hardware: 

Operating System: 

Installing

All related files are compressed into RUNWIN32.zip. 

To download and install the software:

 


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