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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

    Downloads & Resources

    Dates

    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
    Maintainer
    Identifier 973ba0af-80df-4df9-811d-50307aa92836
    Data Last Modified 2019-08-05
    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 00c446e5-0ec0-4d3e-9275-b40f456fb821
    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 9cdd1a666edc688b5f7697bbf13876e161e0f83d
    Source Schema Version 1.1

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