Luxar-Dos female cannabis seeds by Compound Genetics is one of the latest strains to release from the legendary breeders at Compound Genetics. Luxar-Dos is a cross of the terp-tantalising Cherry Dosidos with Compound Genetics' classic strain Jet Fuel Gelato. The Cherry Dosidos is a highly resistant strain, and when crossed with the Jet Fuel Gelato, the offspring grow in an average structure with a gigantic calyx formation that produces large green and purple flowers with an eye-watering potency of 25-27% THC.
Luxar-Dos packs a terp profile that mixes gelato, fuel, and intense savoury hints; the classic JFG creamy gas terps dominate specific phenotypes. Furthermore, some phenotypes also express an even blend of the two making for a sublime combination of the two parents' genes. Luxar-Dos typically finishes within weeks 8 & 9 and produces swollen calyx buds. Luxar-Dos is a super high-yielding strain that is an all-round performer well suited to indoor, outdoor & greenhouse growing environments.
Strain FAQ
Which terpenes give cannabis its creamy dairy taste?
The terpene profile gives a strain its creamy dairy-like flavour. Myrcene gives earthy depth, limonene offers lemony creaminess, linalool adds florality, and alpha-bisabolol adds sweet, floral smoothness to create that creamy taste.
Why is pest resistance especially important for cannabis strains legally grown in greenhouses?
When cannabis calls a greenhouse home, it's in a unique spot that's part cozy shelter, part natural world. This can be a double-edged sword, as the enclosed space might invite pests and mold to settle in. Strains that bring natural resistance to these unwelcome guests are said to be key players in a greenhouse setup, cutting down the need for harsh chemical pesticides and keeping things clean and green.
Are there high-yielding strains with shorter flowering times?
Absolutely. There are a large number of high yielding strains that only take eight to 10 weeks from flowering. This variety lets legal growers pick strains that suit their growing cycles and timeframes.