4.5 Article

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

Journal

EUPHYTICA
Volume 218, Issue 3, Pages -

Publisher

SPRINGER
DOI: 10.1007/s10681-022-02968-3

Keywords

Drought tolerance; Mapping populations; Meta QTL; QTL mapping; Agronomic traits

Funding

  1. United States Agency for International Development (USAID) Bureau for Resilience and Food Security as part of Feed the Future Innovation Lab for Climate Resilient Sorghum [AID-OAA-A-13-00044]

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This study successfully mapped the QTLs for agronomic and yield-related traits in elite Ethiopian sorghum germplasm using three connected mapping populations of different genetic backgrounds. A total of 105 QTLs were identified, and 25 meta QTLs were found on a combined consensus map, providing important references for genetic studies and marker-assisted breeding programs in sorghum. The research also revealed substantial standing variation among the lines, especially in the trait of reduced leaf senescence, which could be utilized in improving drought tolerance of sorghum.
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.

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