White Spruce Inbreeding Effects on Height Growth

5,844 single nucleotide polymorphisms were used to construct a genomic relationship matrix for five intra-provenance white spruce base parents. The data supports findings that height growth decreased by 39 cm (approximately 6%) for every 0.1 increase in inbreeding coefficient (F_i). It was authored by Trevor K. Doerksen and published in 2020.

Use Cases

• Analyze the relationship between genomic relationship matrix values (ranging 0.17-0.24) and inbreeding coefficients (F_i ≈ 0.1) in white spruce.
• Model the impact of inbreeding level as a covariate on dominance variance estimates for traits like height growth.
• Quantify the effect of founder relatedness on height growth, specifically the 39 cm decrease per 0.1 F_i increase.

Strengths

• Genomic data is based on a dense array of 5,844 single nucleotide polymorphisms.
• Quantifies a specific phenotypic impact: height growth decreased by 39 cm for every 0.1 increase in F_i.
• Directly measures genomic relationships, with values between base parents ranging from 0.17 to 0.24.

Limitations

• The specific sample size (number of trees or crosses) is not provided in the input.
• Data is focused on a single species (white spruce) and specific intra-provenance crosses, limiting generalizability.
• The dataset's structure (e.g., rows, columns, file format) is unknown from the input.

Provenance

Source

dryad

Collection Method

Genetic analysis using a dense SNP array to construct a genomic relationship matrix (G).

Freshness

Last updated 2020-06-30.