#GenomicPrediction
📢 New publication 'Ensemble-based genomic prediction for #maize flowering time improves prediction accuracy and reveals novel insights into trait genetic variation' by Shunichiro Tomura et al. in G3 Genes|Genomes|Genetics 🧬🧪🌽

doi.org/10.1093/g3jo...

#GenomicPrediction #Ensemble
Ensemble-based genomic prediction for maize flowering time improves prediction accuracy and reveals novel insights into trait genetic variation
Abstract. While various genomic prediction models have been evaluated for their potential to accelerate genetic gain for multiple traits, no individual gen
doi.org
May 24, 2026 at 10:53 PM
NEW!
#Ensembles of Graph Attention Networks Supervised by Genotype-to-Phenotype Structures Improved Genomic Prediction Performance
by Shunichiro Tomura, Owen Powell, Melanie Wilkinson & Mark Cooper
buff.ly/Uq9zGri #PlantScience #GenomicPrediction
@coeplantsuccess.bsky.social @qaafi.bsky.social
Ensembles of Graph Attention Networks Supervised by Genotype-to-Phenotype Structures Improved Genomic Prediction Performance
Abstract. Accurate selection of favourable crop genotypes has motivated the exploration of diverse prediction algorithms for crop breeding applications. On
buff.ly
June 12, 2026 at 4:29 PM
📢 New publication 'Optimisation of Weighted Ensembles of Genomic Prediction Models in Maize' by Shunichiro Tomura, Owen Powell, Melanie Wilkinson, James Lefvre and Mark Cooper in @insilicoplants.bsky.social 🧪🌱

doi.org/10.1093/insi...

#GenomicPrediction #EnsembleModels
Optimisation of Weighted Ensembles of Genomic Prediction Models in Maize
Abstract. Ensembles of multiple genomic prediction models have demonstrated improved prediction performance over the individual models contributing to the
doi.org
May 7, 2026 at 5:03 AM
Our summer course on #genomicPrediction with me and @guillramstein.bsky.social is running this year 4-8 August, application deadline 18 March. Info and registration see: international.au.dk/education/ad...
March 9, 2025 at 1:00 PM
🧬🌽Ensembles of Graph Attention Networks Supervised by Genotype-to-Phenotype Structures Improved Genomic Prediction Performance
by Shunichiro Tomura, Owen Powell, Melanie Wilkinson and Mark Cooper
buff.ly/4T6wmn2 #PlantScience #GenomicPrediction @qaafi.bsky.social @coeplantsuccess.bsky.social
Ensembles of graph attention networks supervised by genotype-to-phenotype structures improved genomic prediction performance
Abstract. Accurate selection of favourable crop genotypes has motivated the exploration of diverse prediction algorithms for crop breeding applications. On
buff.ly
June 25, 2026 at 4:29 PM
1/🧵 Interested about how others are structuring their genomic pipelines post-alignment/variant calling for #GenomicPrediction #GenomicSelection #RiskScoring. Do you maintain individual sample VCFs extracting the genotype for GEBV calculation or merge multiple into a single VCF for analysis? 🧬🖥️
December 27, 2023 at 9:54 AM