[HTML][HTML] Genomic prediction models for traits differing in heritability for soybean, rice, and maize

AS Kaler, LC Purcell, T Beissinger, JD Gillman - BMC plant biology, 2022 - Springer
Background Genomic selection is a powerful tool in plant breeding. By building a prediction
model using a training set with markers and phenotypes, genomic estimated breeding …

Omics-based hybrid prediction in maize

M Westhues, TA Schrag, C Heuer, G Thaller… - Theoretical and applied …, 2017 - Springer
Key message Complementing genomic data with other “omics” predictors can increase the
probability of success for predicting the best hybrid combinations using complex agronomic …

[HTML][HTML] Integrating crop growth models with whole genome prediction through approximate Bayesian computation

F Technow, CD Messina, LR Totir, M Cooper - PloS one, 2015 - journals.plos.org
Genomic selection, enabled by whole genome prediction (WGP) methods, is revolutionizing
plant breeding. Existing WGP methods have been shown to deliver accurate predictions in …

[HTML][HTML] Use of multiple traits genomic prediction, genotype by environment interactions and spatial effect to improve prediction accuracy in yield data

HY Tsai, F Cericola, V Edriss, JR Andersen, J Orabi… - PloS one, 2020 - journals.plos.org
Genomic selection has been extensively implemented in plant breeding schemes. Genomic
selection incorporates dense genome-wide markers to predict the breeding values for …

[HTML][HTML] Within-and across-breed genomic prediction using whole-genome sequence and single nucleotide polymorphism panels

OOM Iheshiulor, JA Woolliams, X Yu… - Genetics Selection …, 2016 - Springer
Background Currently, genomic prediction in cattle is largely based on panels of about 54k
single nucleotide polymorphisms (SNPs). However with the decreasing costs of and current …

[HTML][HTML] Prediction of maize phenotypic traits with genomic and environmental predictors using gradient boosting frameworks

CC Westhues, GS Mahone, S da Silva… - Frontiers in plant …, 2021 - frontiersin.org
The development of crop varieties with stable performance in future environmental
conditions represents a critical challenge in the context of climate change. Environmental …

[HTML][HTML] Genomic prediction of agronomic traits in wheat using different models and cross-validation designs

TA Haile, S Walkowiak, A N'Diaye, JM Clarke… - Theoretical and Applied …, 2021 - Springer
Key message Genomic predictions across environments and within populations resulted in
moderate to high accuracies but across-population genomic prediction should not be …

[HTML][HTML] Improving the accuracy of whole genome prediction for complex traits using the results of genome wide association studies

Z Zhang, U Ober, M Erbe, H Zhang, N Gao, J He, J Li… - PloS one, 2014 - journals.plos.org
Utilizing the whole genomic variation of complex traits to predict the yet-to-be observed
phenotypes or unobserved genetic values via whole genome prediction (WGP) and to infer …

Evaluation of RR‐BLUP genomic selection models that incorporate peak genome‐wide association study signals in maize and sorghum

B Rice, AE Lipka - The Plant Genome, 2019 - Wiley Online Library
Certain agronomic crop traits are complex and thus governed by many small‐effect loci.
Statistical models typically used in a genome‐wide association study (GWAS) and genomic …

Usefulness of Multiparental Populations of Maize (Zea mays L.) for Genome-Based Prediction

C Lehermeier, N Krämer, E Bauer, C Bauland… - Genetics, 2014 - academic.oup.com
The efficiency of marker-assisted prediction of phenotypes has been studied intensively for
different types of plant breeding populations. However, one remaining question is how to …