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Related Experiment Videos

SASHAYDIALL: A SAS Program for Hayman's Diallel Analysis.

Dan Makumbi1, Gregorio Alvarado2, José Crossa2

  • 1International Maize and Wheat Improvement Center (CIMMYT), PO Box 1041-00621, Nairobi, Kenya.

Crop Science
|December 21, 2020
PubMed
Summary
This summary is machine-generated.

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This study introduces SASHAYDIALL, a SAS-based software for comprehensive diallel cross analysis using Hayman's model. It efficiently estimates genetic parameters and assesses gene effects across multiple environments for plant breeding.

Area of Science:

  • Plant genetics and breeding
  • Quantitative genetics
  • Bioinformatics software development

Background:

  • Diallel cross analysis is crucial in plant breeding for understanding genetic control of traits.
  • Hayman's model provides extensive genetic parameter estimation, including additive and dominance effects.
  • Existing software may lack comprehensive analysis capabilities or user-friendliness.

Purpose of the Study:

  • To introduce SASHAYDIALL, a SAS-based software for complete diallel cross analysis based on Hayman's model.
  • To demonstrate the software's utility with real-world datasets from cabbage and maize.
  • To enable the estimation of genetic parameters and genotype-by-environment interactions.

Main Methods:

  • Development of a SAS-based software package, SASHAYDIALL.

Related Experiment Videos

  • Implementation of Hayman's diallel analysis model, accommodating reciprocal crosses.
  • Application of the software to published and multilocation trial datasets.

    • Main Results:

    • SASHAYDIALL performs complete diallel cross analysis, estimating key genetic parameters.
    • The software successfully analyzed datasets with and without reciprocal effects.
    • Analysis extended to multilocation trials to assess genotype-by-environment interactions.

    Conclusions:

    • SASHAYDIALL is a user-friendly tool for comprehensive genetic analysis of diallel crosses.
    • It provides detailed genetic insights, aiding plant breeding decisions.
    • The software facilitates advanced analyses, including genotype-by-environment interactions.