Evidence map›Paper›PMID 20229249›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2010

Genetic mapping of QTLs for sugar-related traits in a RIL population of Sorghum bicolor L. Moench.

Amukelani Lacrecia Shiringani, Matthias Frisch, Wolfgang Friedt

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

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44citing papers in PubMed
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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

  1. Article
  2. QTL mapping and candidate genes prediction for plant height and brix content in sorghum [Sorghum bicolor (L.) Moench].TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  20. Genotyping by Sequencing of 393G3 (Bethesda, Md.) · 2018
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Amukelani Lacrecia ShiringaniDepartment of Plant Breeding, Research Centre for Biosystems, Land Use and Nutrition (IFZ), Justus-Liebig University of Giessen, Heinrich-Buff-Ring 26-32, Giessen, Germany.
Matthias Frisch
Wolfgang Friedt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The productivity of sorghum is mainly determined by quantitative traits such as grain yield and stem sugar-related characteristics. Substantial crop improvement has been achieved by breeding in the last decades. Today, genetic mapping and characterization of quantitative trait loci (QTLs) is considered a valuable tool for trait enhancement. We have investigated QTL associated with the sugar components (Brix, glucose, sucrose, and total sugar content) and sugar-related agronomic traits (flowering date, plant height, stem diameter, tiller number per plant, fresh panicle weight, and estimated juice weight) in four different environments (two locations) using a population of 188 recombinant inbred lines (RILs) from a cross between grain (M71) and sweet sorghum (SS79). A genetic map with 157 AFLP, SSR, and EST-SSR markers was constructed, and several QTLs were detected using composite interval mapping (CIM). Further, additive x additive interaction and QTL x environmental interaction were estimated. CIM identified more than five additive QTLs in most traits explaining a range of 6.0-26.1% of the phenotypic variation. A total of 24 digenic epistatic locus pairs were identified in seven traits, supporting the hypothesis that QTL analysis without considering epistasis can result in biased estimates. QTLs showing multiple effects were identified, where the major QTL on SBI-06 was significantly associated with most of the traits, i.e., flowering date, plant height, Brix, sucrose, and sugar content. Four out of ten traits studied showed a significant QTL x environmental interaction. Our results are an important step toward marker-assisted selection for sugar-related traits and biofuel yield in sorghum.

Indexed as

Chromosome MappingQuantitative Trait LociCarbohydratesChromosomes, PlantDNA, PlantGenes, PlantGenetic LinkagePhenotypeSorghumCarbohydratesDNA, Plant

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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.