ArticleThe New phytologist2014
Genome-wide association studies and prediction of 17 traits related to phenology, biomass and cell wall composition in the energy grass Miscanthus sinensis.
Article in The New phytologist, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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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
48 citing papers in PubMed, 109 citations in OpenAlex.
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- High density linkage maps, genetic architecture, and genomic prediction of growth and wood properties in Pinus radiata.BMC genomics · 2022Article
- A Novel Beta-Glucosidase Gene for Plant Type Was Identified by Genome-Wide Association Study and Gene Co-Expression Analysis in Widespread Bermudagrass.International journal of molecular sciences · 2022Article
- Breeding Targets to Improve Biomass Quality in Miscanthus.Molecules (Basel, Switzerland) · 2021Review
- Pre-emptive Breeding Against Karnal Bunt Infection in Common Wheat: Combining Genomic and Agronomic Information to Identify Suitable Parents.Frontiers in plant science · 2021Article
- Linkage mapping evidence for a syntenic QTL associated with flowering time in perennial CGlobal change biology. Bioenergy · 2021Article
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Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
• Increasing demands for food and energy require a step change in the effectiveness, speed and flexibility of crop breeding. Therefore, the aim of this study was to assess the potential of genome-wide association studies (GWASs) and genomic selection (i.e. phenotype prediction from a genome-wide set of markers) to guide fundamental plant science and to accelerate breeding in the energy grass Miscanthus. • We generated over 100,000 single-nucleotide variants (SNVs) by sequencing restriction site-associated DNA (RAD) tags in 138 Micanthus sinensis genotypes, and related SNVs to phenotypic data for 17 traits measured in a field trial. • Confounding by population structure and relatedness was severe in naïve GWAS analyses, but mixed-linear models robustly controlled for these effects and allowed us to detect multiple associations that reached genome-wide significance. Genome-wide prediction accuracies tended to be moderate to high (average of 0.57), but varied dramatically across traits. As expected, predictive abilities increased linearly with the size of the mapping population, but reached a plateau when the number of markers used for prediction exceeded 10,000-20,000, and tended to decline, but remain significant, when cross-validations were performed across subpopulations. • Our results suggest that the immediate implementation of genomic selection in Miscanthus breeding programs may be feasible.
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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.