ArticleFrontiers in genetics2020
Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and Interactions.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review.Frontiers in plant science · 2021Pooled it
- Efficient large-scale genomic prediction in approximate genome-based kernel model.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Comparing artificial-intelligence techniques with state-of-the-art parametric prediction models for predicting soybean traits.The plant genome · 2023Article
- A simulation-based assessment of the efficiency of QTL mapping under environment and genotype x environment interaction effects.PloS one · 2023Article
- On the equivalence between marker effect models and breeding value models and direct genomic values with the Algorithm for Proven and Young.Genetics, selection, evolution : GSE · 2022Article
- Deep kernel learning improves molecular fingerprint prediction from tandem mass spectra.Bioinformatics (Oxford, England) · 2022Article
- Generalizable approaches for genomic prediction of metabolites in plants.The plant genome · 2022Article
- Outlook for Implementation of Genomics-Based Selection in Public Cotton Breeding Programs.Plants (Basel, Switzerland) · 2022Article
- Bayesian multitrait kernel methods improve multienvironment genome-based prediction.G3 (Bethesda, Md.) · 2022Article
- Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction.Methods in molecular biology (Clifton, N.J.) · 2022Review
- A General-Purpose Machine Learning R Library for Sparse Kernels Methods With an Application for Genome-Based Prediction.Frontiers in genetics · 2022Article
- Environment characterization and genomic prediction for end-use quality traits in soft white winter wheat.The plant genome · 2021Article
- Genomics and breeding innovations for enhancing genetic gain for climate resilience and nutrition traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid development of molecular markers and sequencing technologies has made it possible to use genomic prediction (GP) and selection (GS) in animal and plant breeding. However, when the number of observations (
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.