Detection of reproducible QTL associated with bioenergy traits in sorghum across several growing environments

EUPHYTICA(2023)

Cited 0|Views4
No score
Abstract
Sweet sorghum (Sorghum bicolor L. Moench) is a promising bioenergy crop. To increase the productivity of this crop, marker-assisted breeding will be important to advance its genetic improvement. This study aimed to identify quantitative trait loci (QTL) associated with several bioenergy-related traits in sweet sorghum that include flowering time, plant height, total biomass, stem diameter, stem moisture percentage, and brix. We used 188 F-7 recombinant inbred lines (RILs) derived from a cross between a sweet sorghum (Wray) and a grain sorghum (Macia). The RILs and their parental lines were grown at two locations. Application of genotyping-by-sequencing analysis of the RILs allowed for constructing a map with 979 single nucleotide polymorphisms. Using the inclusive composite interval mapping of additive QTL, a major QTL for a flowering time was detected on chromosome 6, and explained 29.45% of the phenotypic variances (PVE). Major QTL for plant height (29.51% PVE) and total biomass yield (16.46% PVE) were detected on chromosome 7, and QTL for stem diameter (9.43% PVE) was detected on chromosome 1. Several QTL for brix were associated with sugar transporter genes, providing candidate genes for further study. For example, a major QTL for brix (39.92% PVE) was detected on chromosome 3 consistently across four environments. Twenty one QTL for five traits were detected across four environments using ICIM-ADD. The identified QTL in this study should aid in developing lines and hybrids of sorghum that are suitable for producing bioenergy.
More
Translated text
Key words
Sorghum bicolor (L,) Moench,Recombinant inbred lines,ICiMapping,Sugar transporter gene
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined