Results 1 to 10 of about 3,387,415 (343)

Applications of Support Vector Machine in Genomic Prediction in Pig and Maize Populations

Frontiers in Genetics, 2020
Genomic prediction (GP) has revolutionized animal and plant breeding. However, better statistical models that can improve the accuracy of GP are required.
Wei Zhao, Xueshuang Lai, Dengying Liu, Zhenyang Zhang, P. Ma, Qishan Wang, Zhe Zhang, Yuchun Pan   +7 more
semanticscholar   +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

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

Estimation of genomic prediction accuracy from reference populations with varying degrees of relationship. [PDF]

PLoS ONE, 2017
Genomic prediction is emerging in a wide range of fields including animal and plant breeding, risk prediction in human precision medicine and forensic.
S Hong Lee, Sam Clark, Julius H J van der Werf   +2 more
doaj   +1 more source

Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials

G3, 2020
“Sparse testing” refers to reduced multi-environment breeding trials in which not all genotypes of interest are grown in each environment. Using genomic-enabled prediction and a model embracing genotype × environment interaction (GE), the non-observed ...
D. Jarquín, Réka Howard, J. Crossa, Y. Beyene, M. Gowda, J. Martini, Giovanny Covarrubias Pazaran, J. Burgueño, Ángela Pacheco, M. Grondona, Valentin Wimmer, B. Prasanna   +11 more
semanticscholar   +1 more source

GMStool: GWAS-based marker selection tool for genomic prediction from genomic data

Scientific Reports, 2020
The increased accessibility to genomic data in recent years has laid the foundation for studies to predict various phenotypes of organisms based on the genome.
Seongmun Jeong, Jae-Yoon Kim, Namshin Kim   +2 more
semanticscholar   +1 more source

Exploring the genetic architecture and improving genomic prediction accuracy for mastitis and milk production traits in dairy cattle by mapping variants to hepatic transcriptomic regions responsive to intra-mammary infection

Genetics Selection Evolution, 2017
Background A better understanding of the genetic architecture of complex traits can contribute to improve genomic prediction. We hypothesized that genomic variants associated with mastitis and milk production traits in dairy cattle are enriched in ...
Lingzhao Fang, Goutam Sahana, Peipei Ma, Guosheng Su, Ying Yu, Shengli Zhang, Mogens Sandø Lund, Peter Sørensen   +7 more
doaj   +1 more source

Comparison of Single-Trait and Multi-Trait GBLUP Models for Genomic Prediction in Red Clover

Agronomy
Red clover (Trifolium pratense) is a perennial forage legume wildly used in temperate regions, including northern Europe. Its breeders are under increasing pressure to obtain rapid genetic gains to meet the high demand for improved forage yield and ...
Johanna Osterman, Lucia Gutiérrez, Linda Öhlund, Rodomiro Ortiz, Cecilia Hammenhag, David Parsons, Mulatu Geleta   +6 more
doaj   +1 more source

Genomic Prediction and Genetic Correlation of Agronomic, Blackleg Disease, and Seed Quality Traits in Canola (Brassica napus L.)

Plants, 2020
Genomic selection accelerates genetic progress in crop breeding through the prediction of future phenotypes of selection candidates based on only their genomic information.
Mulusew Fikere, Denise M. Barbulescu, M. Michelle Malmberg, Pankaj Maharjan, Phillip A. Salisbury, Surya Kant, Joe Panozzo, Sally Norton, German C. Spangenberg, Noel O. I. Cogan, Hans D. Daetwyler   +10 more
doaj   +1 more source

Genomic Prediction Using Prior Quantitative Trait Loci Information Reveals a Large Reservoir of Underutilised Blackleg Resistance in Diverse Canola (Brassica napus L.) Lines

The Plant Genome, 2018
Genomic prediction is becoming a popular plant breeding method to predict the genetic merit of lines. While some genomic prediction results have been reported in canola, none have been evaluated for blackleg disease.
Mulusew Fikere, Denise M. Barbulescu, Michelle M. Malmberg, Fan Shi, Joshua C.O. Koh, Anthony T. Slater, Iona M. MacLeod, Phillip J. Bowman, Phillip A. Salisbury, German C. Spangenberg, Noel O.I. Cogan, Hans D. Daetwyler   +11 more
doaj   +1 more source