DatasheetC

Dryad2013-01-01 更新2026-04-13 收录

动植物遗传评估

育种值估计

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资源简介：

Contains pedigree of animals included in this study, plus ll estimates for each individual, used to generate Supplementary Figure 2. Missing data = "NA".

创建时间：

2013-01-01

IMPACT OF THE UNEVEN DISTRIBUTION OF THE NUMBER OF PROGENIES BY SIRES IN THE GENETIC EVALUATION OF ANIMALS IN ENVIRONMENTS WITH PRESENCE OF HETEROGENEITY OF ENVIRONMENTAL VARIANCE

动植物遗传评估

环境方差异质性

Abstract A progeny test representing the milk yield was simulated to evaluate the effect of heterogeneity of environmental variance on genetic evaluation of sires in situations of unequal number of p

NIAID Data Ecosystem70

Data from: Genomic BLUP decoded: a look into the black box of genomic prediction

基因组预测

育种值估计

Genomic best linear unbiased prediction (BLUP) is a statistical method that uses relationships between individuals calculated from single-nucleotide polymorphisms (SNPs) to capture relationships at qu

DataONE2013-05-28 更新50

Additional file 2 of A variance component estimation approach to infer associations between Mendelian polledness and quantitative production and female fertility traits in German Simmental cattle

动植物遗传评估

方差组分估计

Additional file 2. Rscripts used for the calculation of $${\mathbf{A}}_{{\mathbf{v}}}$$ A v .

NIAID Data Ecosystem30

Use of regularized quantile regression to predict the genetic merit of pigs for asymmetric carcass traits

动植物遗传评估

猪育种性状预测

Abstract: The objective of this work was to evaluate the use of regularized quantile regression (RQR) to predict the genetic merit of pigs for asymmetric carcass traits, compared with the Bayesian las

NIAID Data Ecosystem60

Breeding value accuracy estimates and standard errors for AFC and W550 using BLUP and ssGBLUP models with different proportions of multiple sires.

动植物遗传评估

基因组选择

Breeding value accuracy estimates and standard errors for AFC and W550 using BLUP and ssGBLUP models with different proportions of multiple sires.

NIAID Data Ecosystem40