Improvement of prediction ability by integrating multi-omic datasets in barley

PY Wu, B Stich, M Weisweiler, A Shrestha, A Erban… - BMC genomics, 2022 - Springer
Background Genomic prediction (GP) based on single nucleotide polymorphisms (SNP) has
become a broadly used tool to increase the gain of selection in plant breeding. However …

Can metabolic prediction be an alternative to genomic prediction in barley?

MR Gemmer, C Richter, Y Jiang, T Schmutzer… - PLoS …, 2020 - journals.plos.org
Like other crop species, barley, the fourth most important crop worldwide, suffers from the
genetic bottleneck effect, where further improvements in performance through classical …

Transcriptomic and presence/absence variation in the barley genome assessed from multi-tissue mRNA sequencing and their power to predict phenotypic traits

M Weisweiler, A Montaigu, D Ries, M Pfeifer, B Stich - BMC genomics, 2019 - Springer
Background Barley is the world's fourth most cultivated cereal and is an important crop
model for genetic studies. One layer of genomic information that remains poorly explored in …

Multi-trait Genomic Prediction Model Increased the Predictive Ability for Agronomic and Malting Quality Traits in Barley (Hordeum vulgare L.)

M Bhatta, L Gutierrez, L Cammarota… - G3: Genes …, 2020 - academic.oup.com
Plant breeders regularly evaluate multiple traits across multiple environments, which opens
an avenue for using multiple traits in genomic prediction models. We assessed the potential …

Feature engineering of environmental covariates improves plant genomic-enabled prediction

OA Montesinos-López, L Crespo-Herrera… - Frontiers in Plant …, 2024 - frontiersin.org
Introduction Because Genomic selection (GS) is a predictive methodology, it needs to
guarantee high-prediction accuracies for practical implementations. However, since many …

Using Genome-Wide Predictions to Assess the Phenotypic Variation of a Barley (Hordeum sp.) Gene Bank Collection for Important Agronomic Traits and Passport …

Y Jiang, S Weise, A Graner, JC Reif - Frontiers in Plant Science, 2021 - frontiersin.org
Genome-wide predictions are a powerful tool for predicting trait performance. Against this
backdrop we aimed to evaluate the potential and limitations of genome-wide predictions to …

Improving genomic prediction for seed quality traits in oat (Avena sativa L.) using trait-specific relationship matrices

MT Campbell, H Hu, TH Yeats, LJ Brzozowski… - Frontiers in …, 2021 - frontiersin.org
The observable phenotype is the manifestation of information that is passed along different
organization levels (transcriptional, translational, and metabolic) of a biological system. The …

Multitrait, random regression, or simple repeatability model in high‐throughput phenotyping data improve genomic prediction for wheat grain yield

J Sun, JE Rutkoski, JA Poland, J Crossa… - The plant …, 2017 - Wiley Online Library
High‐throughput phenotyping (HTP) platforms can be used to measure traits that are
genetically correlated with wheat (Triticum aestivum L.) grain yield across time. Incorporating …

Multi-trait multi-environment genomic prediction of agronomic traits in advanced breeding lines of winter wheat

HS Gill, J Halder, J Zhang, NK Brar, TS Rai… - Frontiers in Plant …, 2021 - frontiersin.org
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 …

Accelerating wheat breeding for end‐use quality through association mapping and multivariate genomic prediction

S Zhang‐Biehn, AK Fritz, G Zhang, B Evers… - The Plant …, 2021 - Wiley Online Library
In hard‐winter wheat (Triticum aestivum L.) breeding, the evaluation of end‐use quality is
expensive and time‐consuming, being relegated to the final stages of the breeding program …