Accurate and fast estimation of genetic parameters that underlie quantitative traits using mixed linear models with additive and dominance effects is of great importance in both natural and breeding p

NIAID Data Ecosystem30

Supplemental Materials for Tessele et al ., 2025

基因组选择

数量遗传学分析

Sub-Genome-A.hmp.txt , Sub-Genome-B.hmp.txt and Sub-Genome-D.hmp.txt contain the SNP marker data used in the study. Var.R contains the code used to obtain variance estimates

DataCite Commons2025-02-11 更新10

An Infinitesimal Model for Quantitative Trait Genomic Value Prediction

基因组选择

数量遗传学分析

We developed a marker based infinitesimal model for quantitative trait analysis. In contrast to the classical infinitesimal model, we now have new information about the segregation of every individual

NIAID Data Ecosystem30

Estimates of variance components (σ 2 ) and broad-sense heritability (h 2 ) for the TN DH population with 202 lines evaluated for six seed traits in multi-environmental field trials.

作物遗传育种

数量遗传学分析

Estimates of variance components (σ2) and broad-sense heritability (h2) for the TN DH population with 202 lines evaluated for six seed traits in multi-environmental field trials.

NIAID Data Ecosystem10

Number of QTL and total phenotypic variance explained.

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