Optimized Family Sizes for Barley and Wheat Breeding Crosses

A study presents a greedy optimization algorithm for allocating individuals to crosses in autogamous crop breeding programs. The algorithm was tested with an experimental barley resistance dataset and 60 simulated datasets, using population sizes of 400 and 1,200 and heritabilities of 0.7 and 0.9. The research was authored by Uche Joshua Okoye and includes user-friendly R code for improving breeding program efficiency.

Use Cases

• Optimizing progeny allocation in breeding cycles based on expected genetic value and selection differential formulas.
• Testing breeding strategies under different ratios of segregation variance to cross mean variance.
• Comparing constant versus optimized family sizes in simulated breeding scenarios.
• Implementing the provided R code to improve the efficiency of specific line breeding programs.

Strengths

• Algorithm was tested with an experimental dataset and 60 simulated datasets, providing a range of validation scenarios.
• Study investigates specific population sizes (400 and 1,200) and heritabilities (0.7 and 0.9), offering concrete test conditions.
• Includes user-friendly R code for practical application, as stated in the description.

Limitations

• The dataset is a 169.7 KB PDF file; the underlying tabular data is not directly accessible.
• Column-level documentation is absent; field semantics must be inferred from the paper.
• Row count is unknown, which may limit suitability assessment for direct data analysis.

Provenance

Source

figshare, authored by Uche Joshua Okoye.

Collection Method

The study uses an experimental dataset from barley resistance breeding and simulated datasets.

Freshness

Last updated 2026-04-30 05:28:51; freshness should be verified.