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    • Mixed Linear Model Approaches for Quantitative Gen

    Metadata Updated: April 21, 2025

    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


      Resources in this dataset:

    Access & Use Information

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

    Downloads & Resources

    Dates

    Metadata Created Date March 30, 2024
    Metadata Updated Date April 21, 2025

    Metadata Source

    Harvested from USDA JSON

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date March 30, 2024
    Metadata Updated Date April 21, 2025
    Publisher Agricultural Research Service
    Maintainer
    Identifier 10113/AA22699
    Data Last Modified 2023-11-30
    Public Access Level public
    Bureau Code 005:18
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 5b98f324-6681-4f96-a85b-553d8ae35161
    Harvest Source Id d3fafa34-0cb9-48f1-ab1d-5b5fdc783806
    Harvest Source Title USDA JSON
    License https://creativecommons.org/publicdomain/zero/1.0/
    Program Code 005:040
    Source Datajson Identifier True
    Source Hash 04b9ae2f4235dab11978dcc7473f6bea05a84a2aea789db0052b3102798955bb
    Source Schema Version 1.1

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