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.
Computer software for estimating variance and covariance components, correlations, and predicting genetic effects.
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
- PC 486 or above;
- 16MB RAM or more;
- 10MB or more available hard disk space
- Microsoft Windows 95/98,
- Microsoft Windows NT 3.5 or above.
All related files are compressed into RUNWIN32.zip.
To download and install the software:
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