constrained_genomic_indices

<p>Implements constrained genomic selection index methods using GEBVs.
These methods allow breeders to impose restrictions on genetic gains
while maintaining genomic selection efficiency.</p>
<p>Methods included:
- Restricted Linear Genomic Selection Index (RLGSI)
- Predetermined Proportional Gains Linear Genomic Selection Index (PPG-LGSI)
- Combined Restricted Linear Genomic Selection Index (CRLGSI)
- Combined Predetermined Proportional Gains Linear Genomic Selection Index (CPPG-LGSI)</p>

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Provides tools for the simultaneous improvement of multiple traits in plant breeding. Building upon the classical selection index (Smith 1937 <doi:10.1111/j.1469-1809.1936.tb02143.x>) and modern quantitative genetics (Kang 2020 <doi:10.1007/978-3-319-91223-3>), this package calculates classical phenotypic, genomic, marker-assisted, restricted/constrained, and eigen selection indices. It also incorporates multi-stage selection evaluation and stochastic simulations to estimate genetic advance based on economic weights, heritability, and genetic correlations.

Zankrut Goyani

constrained_genomic_indices: Constrained Genomic Selection Indices

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