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Maximum Likelihood Analysis of Quantitative Genetic Data

Maximum Likelihood Analysis of Quantitative Genetic Data
定量遗传数据的最大似然分析
批准号：
9112842
负责人：
Ruth Shaw
金额：
$3.15万
依托单位：
University of California-Riverside
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
1991
资助国家：
美国
项目状态：
已结题
起止时间：
1991-09-01 至 1993-01-01
来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9112842&HistoricalAwards=false
关键词：
MaximumLikelihoodAnalysisQuantitativeGenetic

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英文摘要
This proposal will support the improvements of and further developments for computer programs that apply maximum likelihood (statistical) techniques in the area of quantitative genetics. The specific goals will be the simplification of the program's use, improved convergence behavior of the program, and expansion of general capability for statistical testing. By greatly facilitating quantitative genetic studies, this work is likely to have a broad impact in the biological and behavioral sciences.
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Collaborative Research: LTREB Renewal: Feedbacks between evolution and demography in severely fragmented prairie populations of the purple coneflower, Echinacea angustifolia
  • 批准号：
    2050455
  • 项目类别：
    Continuing Grant
  • 资助金额：
    $53.94万
  • 财政年份：
    2021
  • 负责人：
    Ruth Shaw
  • 依托单位：
    University of Minnesota-Twin Cities
Collaborative Research: LTREB: Feedbacks between evolution and demography in severely fragmented prairie populations of the purple coneflower, Echinacea angustifolia
Potential for adaptation, and its realization, in natural plant populations
LTREB Renewal: COLLABORATIVE RESEARCH: The Interplay of Genetic and Numerical Dynamics in Severely Fragmented Prairie Populations of Echinacea angustifolia
  • 批准号：
    1051791
  • 项目类别：
    Continuing Grant
  • 资助金额：
    $22.5万
  • 财政年份：
    2011
  • 负责人：
    Ruth Shaw
  • 依托单位：
    University of Minnesota-Twin Cities
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