QTL analysis in multiple sorghum mapping populations facilitates dissection of the genetic control of agronomic and yield-related traits in sorghum [Sorghum bicolor (Moench)]

The genetic architectures of agronomic and yield-related traits are expected to involve multiple loci that are unlikely all to segregate for alternative alleles in a single biparental population. Therefore, the identification of quantitative trait loci (QTL) that are expressed in diverse genetic bac...

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Bibliographic Details
Published in:Euphytica 2022-03, Vol.218 (3), Article 24
Main Authors: Techale, B., Dong, H., Mihrete, G., Aregash, G., Paterson, A. H., Kassahun, B.
Format: Article
Language:English
Subjects:
Agronomy
Alleles
Analysis
Biomedical and Life Sciences
Biotechnology
Data analysis
Drought resistance
Gene mapping
Genetic control
Genetic diversity
Genetic research
Genetic variance
Germplasm
Lattice design
Life Sciences
Mapping
Markers
Moisture stress
Plant breeding
Plant Genetics and Genomics
Plant Pathology
Plant Physiology
Plant Sciences
Population genetics
Populations
Quantitative genetics
Quantitative trait loci
Senescence
Sorghum
Sorghum bicolor
Surgery
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Summary:The genetic architectures of agronomic and yield-related traits are expected to involve multiple loci that are unlikely all to segregate for alternative alleles in a single biparental population. Therefore, the identification of quantitative trait loci (QTL) that are expressed in diverse genetic backgrounds of multiple bi-parental populations provides evidence about both background-specific and common genetic variants. The purpose of this study was to map QTLs for agronomic and yield related traits using three connected mapping populations of different genetic backgrounds, to gain insight into the genomic landscape of these important traits in elite Ethiopian sorghum germplasm. The three bi-parental populations, each with 207 F 2:3 lines were evaluated using an alpha lattice design with two replications under two moisture stress environments. Data analysis was done separately for each population using composite interval mapping, finding a total of 105 QTLs. All the QTLs identified from individual populations were projected on a combined consensus map, comprising a total of 25 meta QTLs for seven traits. The consensus map allowed us to deduce locations of a larger number of markers than possible in any individual map, providing a reference for genetic studies in different genetic backgrounds. The meta QTLs identified in this study could be used for marker-assisted breeding programs in sorghum after validation. Only one trait, reduced leaf senescence, showed a striking bias of allele distribution, indicating substantial standing variation among the lines that might be employed in improving drought tolerance of sorghum.
ISSN:0014-2336
1573-5060
DOI:10.1007/s10681-022-02968-3