Results 11 to 20 of about 2,453,732 (306)

Genome position specific priors for genomic prediction [PDF]

BMC Genomics, 2012
Background The accuracy of genomic prediction is highly dependent on the size of the reference population. For small populations, including information from other populations could improve this accuracy.
Brøndum Rasmus, Su Guosheng, Lund Mogens, Bowman Philip J, Goddard Michael E, Hayes Benjamin J   +5 more
doaj   +6 more sources

Genomic prediction

, 2020
Genomic prediction is transforming animal and plant breeding and its utility to predict human disease risk is being explored. The method aims to predict an individual’s future phenotype based on only a DNA test. This lecture will introduce genomic prediction, including the basic concepts, main statistical models, validation strategies, and method ...
Almasi, Fazel, Daetwyler, Hans, Lin, Zibei   +2 more
openaire   +2 more sources

Pan-genomic open reading frames: A potential supplement of single nucleotide polymorphisms in estimation of heritability and genomic prediction.

PLoS Genetics, 2020
Pan-genomic open reading frames (ORFs) potentially carry protein-coding gene or coding variant information in a population. In this study, we suggest that pan-genomic ORFs are promising to be utilized in estimation of heritability and genomic prediction.
Zhengcao Li, Henner Simianer
doaj   +2 more sources

Maximum a posteriori Threshold Genomic Prediction Model for Ordinal Traits

G3: Genes, Genomes, Genetics, 2020
Due to the ever-increasing data collected in genomic breeding programs, there is a need for genomic prediction models that can deal better with big data.
Abelardo Montesinos-López, Humberto Gutierrez-Pulido, Osval Antonio Montesinos-López, José Crossa   +3 more
doaj   +2 more sources

Benchmarking hyperparameter optimization strategies for crop genomic prediction [PDF]

Frontiers in Genetics
Genomic prediction has become an important approach for accelerating crop breeding by using genome-wide marker information to predict complex traits. However, the performance of genomic prediction models is influenced not only by model selection but also
Huanping Xu, Huanping Xu, Yaoqi Wang, Yuting Ma, Hao Wang, Yongsheng Cao, Shen Yan, Jing Li, Yanjie Zhang, Yanqing Chen   +9 more
doaj   +2 more sources

Development of Genomic Prediction in Sorghum

Crop Science, 2018
Genomic selection can increase the rate of genetic gain in plant breeding programs by shortening the breeding cycle. Gain can also be increased through higher selection intensities, as the size of the population available for selection can be increased by predicting performance of non‐phenotyped, but genotyped, lines.
Hunt, Colleen H., van Eeuwijk, Fred A., Mace, Emma S., Hayes, Ben J., Jordan, David R.   +4 more
openaire   +6 more sources

Ensemble AnalySis with Interpretable Genomic Prediction (EasiGP): Computational tool for interpreting ensembles of genomic prediction models [PDF]

The Plant Genome
An ensemble of multiple genomic prediction models has grown in popularity due to consistent prediction performance improvements in crop breeding. However, technical tools that analyze the predictive behavior at the genome level are lacking.
Shunichiro Tomura, Melanie J. Wilkinson, Owen Powell, Mark Cooper   +3 more
doaj   +2 more sources

Enhancing genomic prediction of wheat resistance to Fusarium head blight through integration of passive resistance traits [PDF]

Frontiers in Plant Science
Fusarium head blight (FHB) is one of the most devastating wheat diseases worldwide. Wheat resistance to FHB is controlled by multiple small-effect genes involved in active and passive resistance mechanisms.
Andrii Gorash, Shayan Syed, Gintaras Brazauskas   +2 more
doaj   +2 more sources

ShinyGPAS: interactive genomic prediction accuracy simulator based on deterministic formulas

Genetics Selection Evolution, 2017
Background Deterministic formulas for the accuracy of genomic predictions highlight the relationships among prediction accuracy and potential factors influencing prediction accuracy prior to performing computationally intensive cross-validation ...
Gota Morota
doaj   +2 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   +4 more sources