Results 41 to 50 of about 2,453,732 (306)

Systematic Evaluation of Genomic Prediction Algorithms for Genomic Prediction and Breeding of Aquatic Animals

Genes, 2022
The extensive use of genomic selection (GS) in livestock and crops has led to a series of genomic-prediction (GP) algorithms despite the lack of a single algorithm that can suit all the species and traits. A systematic evaluation of available GP algorithms is thus necessary to identify the optimal GP algorithm for selective breeding in aquaculture ...
Kuiqin Wang, Ben Yang, Qi Li, Shikai Liu
openaire   +2 more sources

Multi-Trait Multi-Environment Genomic Prediction of Agronomic Traits in Advanced Breeding Lines of Winter Wheat

Frontiers in Plant Science, 2021
Genomic prediction is a promising approach for accelerating the genetic gain of complex traits in wheat breeding. However, increasing the prediction accuracy (PA) of genomic prediction (GP) models remains a challenge in the successful implementation of ...
Harsimardeep S. Gill, Jyotirmoy Halder, Jinfeng Zhang, Navreet K. Brar, Teerath S. Rai, Cody Hall, Amy Bernardo, Paul St Amand, Guihua Bai, Eric Olson, Shaukat Ali, Brent Turnipseed, Sunish K. Sehgal   +12 more
doaj   +1 more source

Comparison of analyses of the QTLMAS XIII common dataset. I: genomic selection [PDF]

, 2010
Background - Genomic selection, the use of markers across the whole genome, receives increasing amounts of attention and is having more and more impact on breeding programs. Development of statistical and computational methods to estimate breeding values
Coster, A., Albart Coster, Bastiaansen, J.W.M., Bink, M.C.A.M., Chris Maliepaard, Mario Calus, Calus, M.P.L., John Bastiaansen, John W M Bastiaansen, Marco C A M Bink, Marco Bink, Mario P L Calus, Maliepaard, C.A.   +12 more
core   +1 more source

A classic approach for determining genomic prediction accuracy under terminal drought stress and well-watered conditions in wheat landraces and cultivars.

PLoS ONE, 2021
The present study aimed to improve the accuracy of genomic prediction of 16 agronomic traits in a diverse bread wheat (Triticum aestivum L.) germplasm under terminal drought stress and well-watered conditions in semi-arid environments.
Morteza Shabannejad, Mohammad-Reza Bihamta, Eslam Majidi-Hervan, Hadi Alipour, Asa Ebrahimi   +4 more
doaj   +1 more source

Preselecting Variants from Large-Scale Genome-Wide Association Study Meta-Analyses Increases the Genomic Prediction Accuracy of Growth and Carcass Traits in Large White Pigs

Animals, 2023
Preselected variants associated with the trait of interest from genome-wide association studies (GWASs) are available to improve genomic prediction in pigs.
Chen Wei, Chengjie Chang, Wenjing Zhang, Duanyang Ren, Xiaodian Cai, Tianru Zhou, Shaolei Shi, Xibo Wu, Jinglei Si, Xiaolong Yuan, Jiaqi Li, Zhe Zhang   +11 more
doaj   +1 more source

Impact of Genotype Imputation on the Performance of GBLUP and Bayesian Methods for Genomic Prediction [PDF]

, 2014
The aim of this study was to evaluate the impact of genotype imputation on the performance of the GBLUP and Bayesian methods for genomic prediction. A total of 10,309 Holstein bulls were genotyped on the BovineSNP50 BeadChip (50 k).
Li, C., Sargolzaei, M., Chen, L., Schenkel, F.   +3 more
core   +1 more source

GVCHAP: A Computing Pipeline for Genomic Prediction and Variance Component Estimation Using Haplotypes and SNP Markers

Frontiers in Genetics, 2020
Haplotype prediction models open many possibilities to improve the accuracy of genomic selection but require more data processing and computing time than single-SNP prediction models. To facilitate haplotype analysis for genomic prediction and estimation
Dzianis Prakapenka, Chunkao Wang, Zuoxiang Liang, Cheng Bian, Cheng Bian, Cheng Tan, Cheng Tan, Yang Da   +7 more
doaj   +1 more source

Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds

BMC Genomics, 2017
Background A better understanding of the genetic architecture underlying complex traits (e.g., the distribution of causal variants and their effects) may aid in the genomic prediction.
Lingzhao Fang, Goutam Sahana, Peipei Ma, Guosheng Su, Ying Yu, Shengli Zhang, Mogens Sandø Lund, Peter Sørensen   +7 more
doaj   +1 more source

The Dimensionality of Genomic Information and Its Effect on Genomic Prediction [PDF]

Genetics, 2016
Abstract The genomic relationship matrix (GRM) can be inverted by the algorithm for proven and young (APY) based on recursion on a random subset of animals. While a regular inverse has a cubic cost, the cost of the APY inverse can be close to linear.
Pocrnic, Ivan, Lourenco, Daniela a L, Masuda, Yutaka, Legarra, Andres, Misztal, Ignacy   +4 more
openaire   +5 more sources

Accurate Genomic Prediction of Human Height [PDF]

Genetics, 2017
Abstract Hsu et al. used advanced methods from machine learning to analyze almost half a million genomes. They produced, for the first time, accurate genomic predictors for complex traits such as height, bone density, and educational attainment...
Lello, Louis, Avery, Steven G., Tellier, Laurent, Vazquez, Ana I., de los Campos, Gustavo, Hsu, Stephen D. H.   +5 more
openaire   +4 more sources