ArticleG3 (Bethesda, Md.)2020
Genomic Predictive Ability for Foliar Nutritive Traits in Perennial Ryegrass.
Article in G3 (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 38 citations in OpenAlex.
- Genomic prediction of single cross families of perennial ryegrass under two nitrogen managements.The plant genome · 2026Article
- Genomic selection in timothy (Phleum pratense L.): a comprehensive evaluation of prediction models, multi-trait strategies, and forward validation across Norwegian environments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Harnessing exotic germplasm for red clover improvement: Tracking genomic introgression and deploying genomic selection.The plant genome · 2026Article
- Research progress on genomic selection breeding technology for crops.Protoplasma · 2026Review
- Can We Increase the Drought Tolerance of Perennial Ryegrass (Plants (Basel, Switzerland) · 2025Article
- Forage Crop Research in the Modern Age.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Genomic selection shows improved expected genetic gain over phenotypic selection of agronomic traits in allotetraploid white clover.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Estimation of ryegrass (Frontiers in plant science · 2025Article
- Local adaptation, genetic diversity and key environmental interactions in a collection of novel red clover germplasm.Frontiers in plant science · 2025Article
- Including marker x environment interactions improves genomic prediction in red clover (Frontiers in plant science · 2024Article
- Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat (Triticum aestivum L.).The plant genome · 2023Article
- Developing an integrated genomic selection approach beyond biomass for varietal protection and nutritive traits in perennial ryegrass (Lolium perenne L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Leveraging spatiotemporal genomic breeding value estimates of dry matter yield and herbage quality in ryegrass via random regression models.The plant genome · 2022Article
- Genomic Prediction of Complex Traits in Forage Plants Species: Perennial Grasses Case.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Deterministic and stochastic modelling of impacts from genomic selection and phenomics on genetic gain for perennial ryegrass dry matter yield.Scientific reports · 2021Article
- Characterization and practical use of self-compatibility in outcrossing grass species.Annals of botany · 2021Review
- Article
- Seasonal Differences in Structural and Genetic Control of Digestibility in Perennial Ryegrass.Frontiers in plant science · 2021Article
- Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm.G3 (Bethesda, Md.) · 2020Article
- Multi-Trait Genomic Prediction Improves Predictive Ability for Dry Matter Yield and Water-Soluble Carbohydrates in Perennial Ryegrass.Frontiers in plant science · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Forage nutritive value impacts animal nutrition, which underpins livestock productivity, reproduction and health. Genetic improvement for nutritive traits in perennial ryegrass has been limited, as they are typically expensive and time-consuming to measure through conventional methods. Genomic selection is appropriate for such complex and expensive traits, enabling cost-effective prediction of breeding values using genome-wide markers. The aims of the present study were to assess the potential of genomic selection for a range of nutritive traits in a multi-population training set, and to quantify contributions of family, location and family-by-location variance components to trait variation and heritability for nutritive traits. The training set consisted of a total of 517 half-sibling (half-sib) families, from five advanced breeding populations, evaluated in two distinct New Zealand grazing environments. Autumn-harvested samples were analyzed for 18 nutritive traits and maternal parents of the half-sib families were genotyped using genotyping-by-sequencing. Significant (
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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.