Refining flowering date enhances sesame yield independently of day-length

Abstract

Abstract Background The transition from vegetative to reproductive growth is a key factor in yield maximization. Sesame (Sesamum indicum), an indeterminate short-day oilseed crop, is rapidly being introduced into new cultivation areas. Thus, decoding its flowering mechanism is necessary to facilitate adaptation to environmental conditions. In the current study, we uncover the effect of day-length on flowering and yield components using F $$_2$$ 2 populations segregating for previously identified quantitative trait loci (Si_DTF QTL) confirming these traits. Results Generally, day-length affected all phenotypic traits, with short-day preceding days to flowering and reducing yield components. Interestingly, the average days to flowering required for yield maximization was 50 to 55 days, regardless of day-length. In addition, we found that Si_DTF QTL is more associated with seed-yield and yield components than with days to flowering. A bulk-segregation analysis was applied to identify additional QTL differing in allele frequencies between early and late flowering under both day-length conditions. Candidate genes mining within the identified major QTL intervals revealed two flowering-related genes with different expression levels between the parental lines, indicating their contribution to sesame flowering regulation. Conclusions Our findings demonstrate the essential role of flowering date on yield components and will serve as a basis for future sesame breeding.

Keywords

• Bulk segregation analysis
• Genotype $$\times$$ × Environment $$\times$$ × Management Interactions
• Photoperiod
• Sowing date
• Yield components