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title author date output params
Predicted Genetic Gain Report
Contact:<a href = 'https://github.com/Breeding-Analytics/bioflow' target = '_blank'>Breeding Analytics Team, OneCGIAR</a> [email protected]
November 21, 2024
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Summary metrics

The following table allows you to review the different metrics calculated for the genetic gain analysis. You can filter the metrics using the search bar.

Predicted genetic gain

The following density plot allows you to see the expected change in the next generation compared to the current generation given the current genetic gain parameters (accuracy, intensity, genetic variance) obtained in a particular MET for the selected traits.

 

Trait:

Plant_Height_cm Ear_Height_cm Yield_Mg_ha <script type="application/json" data-for="pggApp_1-traitFilterPredictions2D2" data-nonempty="">{"plugins":["selectize-plugin-a11y"]}</script>

Barplot for metrics

The following barplot allows you to compare the parameters with respect to the classification variables.

Trait:
Plant_Height_cm Ear_Height_cm Yield_Mg_ha <script type="application/json" data-for="pggApp_1-parameterMetricsBy" data-nonempty="">{"plugins":["selectize-plugin-a11y"]}</script>
Parameter to filter:
r r2 sigmaG meanG max.G cycleLength i R PGG nEnvs nInds nIndsSel <script type="application/json" data-for="pggApp_1-parameterMetrics" data-nonempty="">{"plugins":["selectize-plugin-a11y"]}</script>

 

References of methods used

Lush, J. L. (2013). Animal breeding plans. Read Books Ltd.

Mrode, R. A. (2014). Linear models for the prediction of animal breeding values. Cabi.

R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.