ReviewPlant communications2020
Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants.
Review in Plant communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 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.
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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
115 citing papers in PubMed, 1 synthesis or guideline pooled it, 273 citations in OpenAlex.
- Exploring and exploiting genetics and genomics for sweetpotato improvement: Status and perspectives.Plant communications · 2022Pooled it
- Multi-Season Multi-Model GWAS Prioritizes Stable Genomic Loci and Candidate Genes for Six Agronomic Traits in Soybean Under Conditions in Southeastern Kazakhstan.Plants (Basel, Switzerland) · 2026Article
- Nutrigenomics in precision livestock and poultry farming: Enhancing productivity, welfare, and sustainability through gene-tailored diets.Veterinary and animal science · 2026Review
- Global Genetic Gain and Changes for Seed Yield, Agronomic, and Compositional Attributes in Soybean (Plants (Basel, Switzerland) · 2026Review
- Phenomics-assisted sparse testing for potato breeding.Scientific reports · 2026Article
- Unlocking salt tolerance from Fertile Crescent wild barley: evolutionary and physiological mechanisms in introgressed lines.Scientific reports · 2026Article
- Article
- CLCNet: a contrastive learning and chromosome-aware network for genomic prediction in plants.Briefings in bioinformatics · 2026Article
- Impact of Model Parameterisation and Variance Component Estimates on Genomic Predictions of Carcass Traits in Montana Composite Cattle.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- OzBarley: A genetic and phenotypic data resource capturing the Australian barley breeding history.Scientific data · 2026Article
- GWAS-assisted genomic selection for achieving high-precision early sex prediction in Populus deltoides.The plant genome · 2026Article
- Quinoa as a naturally stress-resistant crop: current status and future promises.Stress biology · 2026Review
- Review
- Genomic selection for tar content inFrontiers in plant science · 2026Article
- Article
- Genomic prediction for grain yield and biotic stress resistance in field pea (Frontiers in plant science · 2026Article
- From Light Harvesting to Grain Filling: Chlorophyll Fluorescence, Pigment Composition, and Oxidative Status as Discrete Yield Determinants in Rye.Plants (Basel, Switzerland) · 2025Article
- Comparing wMAS, GWAS, and genomic prediction for selecting powdery mildew-resistant spring barley genotypes.BMC genomics · 2025Article
- Harnessing genomic prediction in Brassica napus through a nested association mapping population.The plant genome · 2025Article
- Enhancing genomic predictive ability of yield and yield-related traits in spring wheat by integrating major plant adaptation genes as a fixed effect.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
55 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although long-term genetic gain has been achieved through increasing use of modern breeding methods and technologies, the rate of genetic gain needs to be accelerated to meet humanity's demand for agricultural products. In this regard, genomic selection (GS) has been considered most promising for genetic improvement of the complex traits controlled by many genes each with minor effects. Livestock scientists pioneered GS application largely due to livestock's significantly higher individual values and the greater reduction in generation interval that can be achieved in GS. Large-scale application of GS in plants can be achieved by refining field management to improve heritability estimation and prediction accuracy and developing optimum GS models with the consideration of genotype-by-environment interaction and non-additive effects, along with significant cost reduction. Moreover, it would be more effective to integrate GS with other breeding tools and platforms for accelerating the breeding process and thereby further enhancing genetic gain. In addition, establishing an open-source breeding network and developing transdisciplinary approaches would be essential in enhancing breeding efficiency for small- and medium-sized enterprises and agricultural research systems in developing countries. New strategies centered on GS for enhancing genetic gain need to be developed.
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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.