Results 41 to 50 of about 536,771 (324)

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

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

Interest of phenomic prediction as an alternative to genomic prediction in grapevine [PDF]

Plant Methods, 2021
Abstract Background Phenomic prediction has been defined as an alternative to genomic prediction by using spectra instead of molecular markers. A reflectance spectrum provides information on the biochemical composition within a tissue, itself being under genetic determinism. Thus, a relationship matrix built from spectra
Brault, Charlotte, Lazerges, Juliette, Doligez, Agnes, Thomas, Miguel, Ecarnot, Martin, Roumet, Pierre, Bertrand, Yves, Berger, Gilles, Pons, Thierry, François, Pierre, Le Cunff, Loïc, This, Patrice, Segura, Vincent   +12 more
openaire   +6 more sources

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

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

Structured Matrix Completion with Applications to Genomic Data Integration [PDF]

, 2015
Matrix completion has attracted significant recent attention in many fields including statistics, applied mathematics and electrical engineering. Current literature on matrix completion focuses primarily on independent sampling models under which the ...
Cai, T. Tony, Cai, Tianxi, Zhang, Anru
core   +4 more sources

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

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

Across population genomic prediction scenarios in which Bayesian variable selection outperforms GBLUP [PDF]

, 2015
Background: The use of information across populations is an attractive approach to increase the accuracy of genomic prediction for numerically small populations.
M. P. L. Calus, S. van den Berg, T. H. E. Meuwissen, Y. C. J. Wientjes   +3 more
core   +4 more sources

Genomic prediction in CIMMYT maize and wheat breeding programs [PDF]

, 2013
Genomic selection (GS) has been implemented in animal and plant species, and is regarded as a useful tool for accelerating genetic gains. Varying levels of genomic prediction accuracy have been obtained in plants, depending on the prediction problem ...
BA McKinney, BJ Hayes, C Riedelsheimer, D Bonnett, D Gianola, D Gianola, D Habier, D Wang, D Wang, EL Heffner, G de los Campos, G de los Campos, HD Daetwyler, J Burgueño, J Burgueño, J Burgueño, J Burgueño, J Cerón-Rojas, J Crossa, J Crossa, J Crossa, J Hickey, JM Gonzalez-Camacho, JM Hickey, K Mathews, L Ornella, L Ornella, ME Goddard, P Pérez, P Pérez, P Pérez, PM VanRaden, PM VanRaden, PM VanRaden, R Babu, R Bernardo, R Bernardo, RE Lorenzana, S Dreisigacker, T Hastie, T Park, THE Meuwissen, VS Windhausen, X Zhang, Y Li, Y Zhao, YM Zhang   +46 more
core   +1 more source