Results 41 to 50 of about 9,816 (139)

Bootstrapping of gene-expression data improves and controls the false discovery rate of differentially expressed genes

Genetics Selection Evolution, 2004
The ordinary-, penalized-, and bootstrap t-test, least squares and best linear unbiased prediction were compared for their false discovery rates (FDR), i.e.
Goddard Mike E, Meuwissen Theo HE
doaj   +1 more source

Using residual regressions to quantify and map signal leakage in genomic prediction

Genetics Selection Evolution, 2023
Background Most genomic prediction applications in animal breeding use genotypes with tens of thousands of single nucleotide polymorphisms (SNPs). However, modern sequencing technologies and imputation algorithms can generate ultra-high-density genotypes
Bruno D. Valente, Gustavo de los Campos, Alexander Grueneberg, Ching-Yi Chen, Roger Ros-Freixedes, William O. Herring   +5 more
doaj   +1 more source

Genomic prediction in a backcross population using relationship matrices [PDF]

Archives Animal Breeding
Backcrossing is a widely used crossbreeding strategy for transferring desirable traits from a donor line into a recurrent parent population. Although genomic selection can accelerate genetic improvement in these populations, traditional models such as G ...
A. A. Musa, A. A. Musa, J. Klosa, M. Mayer, N. Reinsch   +4 more
doaj   +1 more source

Assessing Accuracy of Genomic Predictions for Resistance to Infectious Hematopoietic Necrosis Virus With Progeny Testing of Selection Candidates in a Commercial Rainbow Trout Breeding Population

Frontiers in Veterinary Science, 2020
Infectious hematopoietic necrosis (IHN) is an economically important disease of salmonid fish caused by the IHN virus (IHNV). Under industrial aquaculture settings, IHNV can cause substantial mortality and losses. Actually, there is no confirmed and cost-
Roger L. Vallejo, Breno O. Fragomeni, Hao Cheng, Guangtu Gao, Roseanna L. Long, Kristy L. Shewbridge, John R. MacMillan, Richard Towner, Yniv Palti   +8 more
doaj   +1 more source

On Misspecification of Spatial Weight Matrix for Small Area Estimation in Longitudinal Analysis

Comparative Economic Research, 2012
The problem of prediction of subpopulation (domain) total is studied as in Rao (2003). Considerations are based on spatially correlated longitudinal data.
Tomasz Żądło
doaj   +1 more source

Factors affecting genomic selection revealed by empirical evidence in maize

Crop Journal, 2018
Genomic selection (GS) as a promising molecular breeding strategy has been widely implemented and evaluated for plant breeding, because it has remarkable superiority in enhancing genetic gain, reducing breeding time and expenditure, and accelerating the ...
Xiaogang Liu, Hongwu Wang, Hui Wang, Zifeng Guo, Xiaojie Xu, Jiacheng Liu, Shanhong Wang, Wen-Xue Li, Cheng Zou, Boddupalli M. Prasanna, Michael S. Olsen, Changling Huang, Yunbi Xu   +12 more
doaj   +1 more source

The Empirical Best Linear Unbiased Prediction and The Emperical Best Predictor Unit-Level Approaches in Estimating Per Capita Expenditure at the Subdistrict Level

Scientific Journal of Informatics
Purpose: This study aims to estimate and evaluate per capita expenditure at the subdistrict level in Garut Regency by employing unit-level Small Area Estimation (SAE) techniques, specifically utilizing the Empirical Best Linear Unbiased Predictor (EBLUP) and the Empirical Best Predictor (EBP) methods.
Ghina Fauziah, Anang Kurnia, Anik Djuraidah   +2 more
openaire   +1 more source

A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers

Genetics Selection Evolution, 2009
Background Genomic selection (GS) uses molecular breeding values (MBV) derived from dense markers across the entire genome for selection of young animals. The accuracy of MBV prediction is important for a successful application of GS.
Tier Bruce, Moser Gerhard, Crump Ron E, Khatkar Mehar S, Raadsma Herman W   +4 more
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Accuracy and Training Population Design for Genomic Selection on Quantitative Traits in Elite North American Oats

The Plant Genome, 2011
Genomic selection (GS) is a method to estimate the breeding values of individuals by using markers throughout the genome. We evaluated the accuracies of GS using data from five traits on 446 oat ( L.) lines genotyped with 1005 Diversity Array Technology (
Franco G. Asoro, Mark A. Newell, William D. Beavis, M. Paul Scott, Jean-Luc Jannink   +4 more
doaj   +1 more source

Accuracy of genomic selection in biparental populations of flax (Linum usitatissimum L.)

Crop Journal, 2016
Flax is an important economic crop for seed oil and stem fiber. Phenotyping of traits such as seed yield, seed quality, stem fiber yield, and quality characteristics is expensive and time consuming.
Frank M. You, Helen M. Booker, Scott D. Duguid, Gaofeng Jia, Sylvie Cloutier   +4 more
doaj   +1 more source