marker_indices

<p>Implements marker-based selection indices from Chapter 4 (Lande &amp; Thompson, 1990).
These methods incorporate molecular marker information directly into selection indices.</p>
<p>Methods included:
- LMSI    : Linear Marker Selection Index (Section 4.1)
- GW-LMSI : Genome-Wide Linear Marker Selection Index (Section 4.2)</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

marker_indices: Linear Marker and Genome-Wide Selection Indices (Chapter 4)

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