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The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
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Development and optimization of expected cross value for mate selection problems.

Pouya Ahadi1, Balabhaskar Balasundaram2, Juan S Borrero2

  • 1H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA.

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Summary
This summary is machine-generated.

This study introduces the expected cross value (ECV) criterion for optimal mate selection in breeding programs. The ECV criterion enhances genetic gain and controls inbreeding by evaluating genomic combinations of parent pairs.

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Area of Science:

  • Plant and Animal Breeding
  • Quantitative Genetics
  • Bioinformatics

Background:

  • Mate selection is critical for variety development programs, directly impacting progeny performance.
  • Traditional methods often rely on phenotypic values or individual genomic data, limiting selection accuracy.
  • Optimizing parental combinations is essential for maximizing desirable genetic material inheritance.

Purpose of the Study:

  • To develop a novel criterion for mate selection in breeding pipelines.
  • To introduce the expected cross value (ECV) criterion for evaluating parental pairs based on genetic architecture.
  • To formulate an integer linear programming model for optimizing parental selection and controlling inbreeding.

Main Methods:

  • Developed the expected cross value (ECV) criterion to quantify the genetic potential of parent pairs.
  • Formulated an integer linear programming (ILP) model utilizing the ECV criterion for parental selection.
  • Incorporated inbreeding level control within the ILP formulation.
  • Evaluated the ECV criterion's performance through simulation studies for multi-trait improvement and crossing block design.

Main Results:

  • The ECV criterion effectively predicts the inheritance of desirable alleles from parental pairs.
  • The ILP formulation successfully optimizes mate selection for simultaneous improvement of multiple traits.
  • The approach demonstrated capability in designing multi-parental crossing blocks.
  • Simulations confirmed the ECV criterion's efficacy in enhancing breeding efficiency.

Conclusions:

  • The ECV criterion offers a powerful tool for genomic-based mate selection in breeding programs.
  • The proposed ILP method provides a robust framework for optimizing parental combinations and managing inbreeding.
  • This approach can significantly improve breeding efficiency and maintain genetic diversity for sustainable variety development.