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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:

  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
See all >>
FieldValue
Modified
2019-08-05
Release Date
2019-05-02
Identifier
973ba0af-80df-4df9-811d-50307aa92836
Publisher
United States Department of Agriculture
License
Creative Commons CCZero
Contact Name
Jenkins, Johnie
Contact Email
Johnie.Jenkins@ars.usda.gov
Public Access Level
Public
Program Code
005:040 - Department of Agriculture - National Research
Bureau Code
005:18 - Agricultural Research Service
Extended Metadata: 
FieldValue
Authors
Wu, Jixiang (Scopus Author ID)
Zhu, Junmei (Scopus Author ID)
Jenkins, Johnie N. (ORCID)
Peer Reviewed
No
Funding Sources
Agricultural Research Service
Primary Article

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.
Product Type
Model
FieldValue
ISO Topic(s)
biota
National Agricultural Library Thesaurus Term
computer software
variance
covariance
prediction
linear models
genetic models
diallel analysis
agronomic traits
models
Ag Data Commons Keywords
  • Genomics & Genetics
  • Variants
  • Genomics & Genetics

Suggested Citations:

(original article) 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.

(dataset) Wu, Jixiang; Zhu, Junmei; Jenkins, Johnie N. (2019). Mixed Linear Model Approaches for Quantitative Gen. United States Department of Agriculture. https://data.nal.usda.gov/dataset/mixed-linear-model-approaches-quantitative-gen. Accessed 2023-12-08.