https://blog.xijiang.org/tags/genomics/ Recent content in Genomics on Breeding and genetics Hugo en-us Fri, 09 Oct 2026 09:50:00 +0200 https://blog.xijiang.org/posts/benchmarking-mrode-4ed-solutions-blupf90-r-julia/ Fri, 09 Oct 2026 09:50:00 +0200 https://blog.xijiang.org/posts/benchmarking-mrode-4ed-solutions-blupf90-r-julia/ <p>The publication of the 4th edition of <em>Linear Models for the Prediction of the Genetic Merit of Animals</em> by R. A. Mrode and I. Pocrnic (2023, CABI) provides a comprehensive pedagogical reference for linear mixed models in quantitative genetics and animal breeding. Accompanying the text are three open-source companion solution repositories implementing the worked examples across the textbook:</p> <ol> <li><strong>BLUPF90 Suite</strong> (<code>Examples_BLUPF90</code>): Parameter and data setups for the legacy Fortran 90 binaries developed by Ignacy Misztal and colleagues at the University of Georgia.</li> <li><strong>R Scripts</strong> (<code>Examples_R</code>): Educational scripts using standard R packages (<code>Matrix</code>, <code>pedigreemm</code>, <code>lme4</code>, and the <code>tidyverse</code>).</li> <li><strong>Julia Package</strong> (<code>Mrode4edExamples.jl</code> / <code>Examples-Julia</code>): A native, type-stable implementation built on the domain-specific libraries <a href="https://github.com/JuliaBnG/RelationshipMatrices.jl"><code>RelationshipMatrices.jl</code></a> and <a href="https://github.com/JuliaBnG/Breeding.jl"><code>Breeding.jl</code></a>.</li> </ol> <p>Below is an empirical benchmark and architectural evaluation comparing the computational paradigms, execution performance, numerical reliability, and algorithmic scaling of these three solution suites.</p>