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Mixed Linear Model Approaches for Quantitative Gen

Metadata Updated: November 10, 2020

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:

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

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons CCZero

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Metadata Created Date November 10, 2020
Metadata Updated Date November 10, 2020

Metadata Source

Harvested from USDA JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date November 10, 2020
Metadata Updated Date November 10, 2020
Publisher Agricultural Research Service
Identifier 973ba0af-80df-4df9-811d-50307aa92836
Data Last Modified 2019-08-05
Public Access Level public
Bureau Code 005:18
Metadata Context
Schema Version
Catalog Describedby
Harvest Object Id 00c446e5-0ec0-4d3e-9275-b40f456fb821
Harvest Source Id d3fafa34-0cb9-48f1-ab1d-5b5fdc783806
Harvest Source Title USDA JSON
Program Code 005:040
Source Datajson Identifier True
Source Hash 9cdd1a666edc688b5f7697bbf13876e161e0f83d
Source Schema Version 1.1

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