ArticleG3 (Bethesda, Md.)2018
Genomic Selection in Preliminary Yield Trials in a Winter Wheat Breeding Program.
Article in G3 (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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.
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Who cites it
39 citing papers in PubMed.
- Randomization across breeding cohorts improves the accuracy of conventional and genomic selection.The plant genome · 2026Article
- Targeted expansion of a barley genebank core collection facilitates the discovery of disease resistance loci.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Article
- AdaptiveGS: an explainable genomic selection framework based on adaptive stacking ensemble machine learning.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Sparse testing designs for optimizing predictive ability in sugarcane populations.Frontiers in plant science · 2024Article
- Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers.BMC genomic data · 2023Article
- Multi-trait genomic selection improves the prediction accuracy of end-use quality traits in hard winter wheat.The plant genome · 2023Article
- Utilization of a publicly available diversity panel in genomic prediction of Fusarium head blight resistance traits in wheat.The plant genome · 2023Article
- Genomics for Yield and Yield Components in Durum Wheat.Plants (Basel, Switzerland) · 2023Review
- Improved multi-trait prediction of wheat end-product quality traits by integrating NIR-predicted phenotypes.Frontiers in plant science · 2023Article
- IP4GS: Bringing genomic selection analysis to breeders.Frontiers in plant science · 2023Article
- G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction.Frontiers in plant science · 2023Article
- Elucidating the Genetic Relationships on the Original Old SicilianInternational journal of molecular sciences · 2022Article
- Chile Pepper (Frontiers in plant science · 2022Review
- Accelerating wheat breeding for end-use quality through association mapping and multivariate genomic prediction.The plant genome · 2021Article
- Unlocking big data doubled the accuracy in predicting the grain yield in hybrid wheat.Science advances · 2021Article
- Robust modeling of additive and nonadditive variation with intuitive inclusion of expert knowledge.Genetics · 2021Article
- GWAS revealed effect of genotype × environment interactions for grain yield of Nebraska winter wheat.BMC genomics · 2021Article
- Predicting Fusarium Head Blight Resistance for Advanced Trials in a Soft Red Winter Wheat Breeding Program With Genomic Selection.Frontiers in plant science · 2021Article
- Increased Predictive Accuracy of Multi-Environment Genomic Prediction Model for Yield and Related Traits in Spring Wheat (Frontiers in plant science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genomic prediction (GP) is now routinely performed in crop plants to predict unobserved phenotypes. The use of predicted phenotypes to make selections is an active area of research. Here, we evaluate GP for predicting grain yield and compare genomic and phenotypic selection by tracking lines advanced. We examined four independent nurseries of F
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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.