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

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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 F7 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.

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Additional datasets generated by this study are included in the Supplementary Materials.

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Funding

This work is being funded by a grant from the Plant Feedstock Genomics for Bioenergy # DE-SC0006810 to DMB et al. The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors and Affiliations

  1. Department of Agronomy and Horticulture, University of Nebraska-Lincoln, 202 Keim Hall, Lincoln, NE, 68583, USA

    I. Dweikat

  2. Divisions of Plant Science and Technology, and of Biological Sciences, Interdisciplinary Plant Group, University of Missouri, 116 Tucker Hall, Columbia, MO, 65211, USA

    David Braun

  3. Arkansas Forest Resources Center and College of Forestry, Agricultural and Natural Resources, University of Arkansas at Monticello, Monticello, AR, 71656, USA

    Babst Benjamin

  4. Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University, Kamphaeng Saen, Nakhon Pathom, 73140, Thailand

    Kanokwan Teingtham

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  1. I. Dweikat
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K.T. conducted the experiments and drafted the manuscript. I.D. designed and oversee the experiment executions. D.B. and B.B. contributed ideas to the experiments. All authors read and approved the final manuscript.

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Dweikat, I., Braun, D., Benjamin, B. et al. Detection of reproducible QTL associated with bioenergy traits in sorghum across several growing environments. Euphytica 219, 70 (2023). https://doi.org/10.1007/s10681-023-03194-1

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