Mixed Linear Model Approaches for Quantitative Gen
model
posted on 2023-11-30, 08:22 authored by Jixiang Wu, Junmei Zhu, Johnie N. JenkinsPurpose
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
Funding
Agricultural Research Service,
History
Data contact name
Jenkins, JohnieData contact email
Johnie.Jenkins@ars.usda.govPublisher
United States Department of AgricultureTheme
- Not specified
ISO Topic Category
- biota
National Agricultural Library Thesaurus terms
computer software; variance; covariance; prediction; linear models; genetic models; diallel analysis; agronomic traits; modelsOMB Bureau Code
- 005:18 - Agricultural Research Service
OMB Program Code
- 005:040 - National Research
Pending citation
- No
Related material without URL
Wu, J., Zhu, J., & Jenkins, J. (2003). Mixed linear model approaches for quantitave genetic models. In M. Kang, Handbook of Formulas and Sortware for Plant Geneticists and Breeders (pp. 171-180). Binghamtion, NY: The Haworth Press.Public Access Level
- Public
