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Article

Setaria viridis and Setaria italica, model genetic systems for the Panicoid grasses.

Journal of experimental botany - 1 May 2011

Li Pinghua, Brutnell Thomas P

Abstract excerpt

Setaria italica and its wild ancestor Setaria viridis are diploid C(4) grasses with small genomes of ∼515 Mb. Both species have attributes that make them attractive as model systems. Setaria italica is a grain crop widely grown in Northern China and India that is closely related to the major food and feed crops maize and sorghum. A large collection of S. italica accessions are available and thus opportunities...

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PMID: 21459768
DOI: 10.1093/jxb/err096

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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Setaria viridis and Setaria italica, model genetic systems for the Panicoid grasses.PMID 21459768Read ↗

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Brachypodium distachyon and Setaria viridis: Model Genetic Systems for the Grasses.Semantic proximity Read ↗

Sparse panicle1 is required for inflorescence development in Setaria viridis and maize.Semantic proximity Read ↗

Phenotypic evaluation and mapping QTLs for drought tolerance in an interspecific RIL population from a Setaria italica × Setaria viridis cross.Semantic proximity Read ↗

MDSi: Multi-omics Database for Setaria italica.Semantic proximity Read ↗

Development of highly polymorphic simple sequence repeat markers using genome-wide microsatellite variant analysis in Foxtail millet [Setaria italica (L.) P. Beauv].Semantic proximity Read ↗

Identification of QTLs for 14 Agronomically Important Traits in Setaria italica Based on SNPs Generated from High-Throughput Sequencing.Semantic proximity Read ↗

Genome-wide identification of quantitative trait loci for morpho-agronomic and yield-related traits in foxtail millet (Setaria italica) across multi-environments.Semantic proximity Read ↗

A high-density genetic map and QTL analysis of agronomic traits in foxtail millet [Setaria italica (L.) P. Beauv.] using RAD-seq.Semantic proximity Read ↗

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