ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2021
Quantitative trait locus mapping combined with variant and transcriptome analyses identifies a cluster of gene candidates underlying the variation in leaf wax between upland and lowland switchgrass ecotypes.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Virulence and Genetic Diversity ofPathogens (Basel, Switzerland) · 2025Article
- Finger millet: a hero in the making to combat food insecurity.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Review
- A single amino acid change led to structural and functional differentiation of PvHd1 to control flowering in switchgrass.Journal of experimental botany · 2023Article
- Genome analyses reveal population structure and a purple stigma color gene candidate in finger millet.Nature communications · 2023Article
- Genome-wide association study and genetic mapping of BhWAX conferring mature fruit cuticular wax in wax gourd.BMC plant biology · 2022Article
- Genotyping-by-Sequencing and QTL Mapping of Biomass Yield in Two Switchgrass FFrontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
key messageMapping combined with expression and variant analyses in switchgrass, a crop with complex genetics, identified a cluster of candidate genes for leaf wax in a fast-evolving region of chromosome 7K. Switchgrass (Panicum virgatum L.) is a promising warm-season candidate energy crop. It occurs in two ecotypes, upland and lowland, which vary in a number of phenotypic traits, including leaf glaucousness. To initiate trait mapping, two F
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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.