Results 11 to 20 of about 3,779,182 (417)

Improving multi-trait genomic prediction by incorporating local genetic correlations [PDF]

Communications Biology
Genomic prediction holds significant potential for advancing precision medicine in humans, as well as accelerating genetic improvement in animals and plants.
Jun Teng, Tingting Zhai, Xinyi Zhang, Changheng Zhao, Wenwen Wang, Hui Tang, Chao Ning, Yingli Shang, Dan Wang, Qin Zhang   +9 more
doaj   +2 more sources

Multi-omics-data-assisted genomic feature markers preselection improves the accuracy of genomic prediction

Journal of Animal Science and Biotechnology, 2020
Background Presently, multi-omics data (e.g., genomics, transcriptomics, proteomics, and metabolomics) are available to improve genomic predictors. Omics data not only offers new data layers for genomic prediction but also provides a bridge between ...
Shaopan Ye, Jiaqi Li, Zhe Zhang
doaj   +2 more sources

Modelling and Using Spatial Effects in Nationwide Historical Data Improve Genomic Prediction of Rice Heading Date in Japan [PDF]

Rice
Genomic prediction is a promising strategy for enhancing crop breeding efficiency. Historical data of breeding and cultivation tests from geographically wide regions presumably contain rich information for training genomic prediction models.
Shoji Taniguchi, Takeshi Hayashi, Hiroshi Nakagawa, Kei Matsushita, Hiromi Kajiya-Kanegae, Jun-Ichi Yonemaru, Akitoshi Goto   +6 more
doaj   +2 more sources

Genomic prediction for rust resistance in pea. [PDF]

Front Plant Sci
Genomic selection (GS) has become an indispensable tool in modern plant breeding, particularly for complex traits. This study aimed to assess the efficacy of GS in predicting rust (Uromyces pisi) resistance in pea (Pisum sativum), using a panel of 320 pea accessions and a set of 26,045 Silico-Diversity Arrays Technology (Silico-DArT) markers.
Osuna-Caballero S, Rubiales D, Annicchiarico P, Nazzicari N, Rispail N.   +4 more
europepmc   +4 more sources

Predicting the accuracy of genomic predictions [PDF]

Genetics Selection Evolution, 2021
Abstract Background Mathematical models are needed for the design of breeding programs using genomic prediction. While deterministic models for selection on pedigree-based estimates of breeding values (PEBV) are available, these have not been fully developed for genomic selection, with a key missing component being the ...
Dekkers, Jack C. M., Su, Hailin, Cheng, Jian   +2 more
openaire   +5 more sources

An investigation of machine learning methods applied to genomic prediction in yellow-feathered broilers [PDF]

Poultry Science
Machine learning (ML) methods have rapidly developed in various theoretical and practical research areas, including predicting genomic breeding values for large livestock animals.
Bogong Liu, Huichao Liu, Junhao Tu, Jian Xiao, Jie Yang, Xi He, Haihan Zhang   +6 more
doaj   +2 more sources

Genomic Prediction for Twin Pregnancies [PDF]

Animals, 2021
Twinning is a multifactorial trait influenced by both genetic and environmental factors that can negatively impact animal welfare and economic sustainability on commercial dairy operations. To date, using genetic selection as a tool for reducing twinning rates on commercial dairies has been proposed, but not yet implemented.
Shaileen P. McGovern, Daniel J. Weigel, Brenda C. Fessenden, Dianelys Gonzalez-Peña, Natascha Vukasinovic, Anthony K. McNeel, Fernando A. Di Croce   +6 more
openaire   +4 more sources

A review of machine learning models applied to genomic prediction in animal breeding

Frontiers in Genetics, 2023
The advent of modern genotyping technologies has revolutionized genomic selection in animal breeding. Large marker datasets have shown several drawbacks for traditional genomic prediction methods in terms of flexibility, accuracy, and computational power.
Narjice Chafai, Ichrak Hayah, Isidore Houaga, B. Badaoui   +3 more
semanticscholar   +1 more source

Genomic prediction with whole-genome sequence data in intensely selected pig lines

bioRxiv, 2022
Background Early simulations indicated that whole-genome sequence data (WGS) could improve the accuracy of genomic predictions within and across breeds. However, empirical results have been ambiguous so far.
R. Ros-Freixedes, M. Johnsson, A. Whalen, Ching-Yi Chen, B. Valente, W. Herring, G. Gorjanc, J. Hickey   +7 more
semanticscholar   +1 more source

Sibling variation in polygenic traits and DNA recombination mapping with UK Biobank and IVF family data

Scientific Reports, 2023
We use UK Biobank and a unique IVF family dataset (including genotyped embryos) to investigate sibling variation in both phenotype and genotype. We compare phenotype (disease status, height, blood biomarkers) and genotype (polygenic scores, polygenic ...
Louis Lello, Maximus Hsu, Erik Widen, Timothy G. Raben   +3 more
doaj   +1 more source