ArticleFrontiers in plant science2023
Multi-trait and multi-environment genomic prediction for flowering traits in maize: a deep learning approach.
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 17 citations in OpenAlex.
- Review
- Preliminary mapping of wheat (Triticum aestivum L.) tolerance genes to the English grain aphid (Sitobion avenae Fabricius) by genome-wide association study.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Integrating temporal morphophysiological and genomic markers for precise classification of flowering time in cannabis.Scientific reports · 2026Article
- Bridging scales: integrated multi-omics and deep phenotyping for climate resilience in crop plants.Frontiers in plant science · 2026Review
- Predicting maize hybrid performance with machine learning and a locus-specific weighted degree of dominance transformation.Frontiers in plant science · 2026Article
- Genome-wide association study and genomic prediction of bolting trait in spinach (Frontiers in plant science · 2026Article
- Article
- Next-generation translational genomics for developing future crops.Functional & integrative genomics · 2025Review
- Historic rewiring of grass flowering time pathways and implications for crop improvement under climate change.The New phytologist · 2025Review
- MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops.Plant methods · 2025Article
- Obscured-ensemble models for genomic prediction.PloS one · 2025Article
- MTMEGPS: An R package for multi-trait and multi-environment genomic and phenomic selection using deep learning.Frontiers in plant science · 2025Article
- Comparative Study of Single-Trait and Multi-Trait Genomic Prediction Models.Animals : an open access journal from MDPI · 2024Article
- Article
- Enhancing prediction accuracy of foliar essential oil content, growth, and stem quality inFrontiers in plant science · 2024Article
- Harnessing the power of machine learning for crop improvement and sustainable production.Frontiers in plant science · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Maize (
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.