Auto El Fuego
Auto El Fuego
Also known as: Auto El Fuego (Fire), The Fire Auto
Overview
Auto El Fuego is an autoflowering cannabis strain created by DNA Genetics Seeds as part of their resin-focused breeding program. This strain represents a cross between El Fuego and ruderalis genetics, specifically designed to maintain the high resin production of the original El Fuego while adding the autoflowering characteristics of ruderalis. The strain is bred purely for its resin profile, with DNA bringing their most resinous offerings together to create ultra resinous flowers that finish in 60 days. Auto El Fuego is an indica-dominant autoflower that induces chilled effects, perfect for relaxing tense muscles after a long day of work. The plant exhibits a greyish green appearance under a blanket of shiny trichomes, making it particularly attractive to concentrate makers and resin enthusiasts. As an indica-dominant autoflowering strain, it provides a great mass of resin in a short flowering cycle, completing its journey from seed to harvest in only 60 days.
Effects
Reported Medical Uses
- Users report relief from muscle tension
- May help with relaxation after work
- Often used by resin extraction enthusiasts
- Users report calming effects
- May assist with appetite stimulation
This is not medical advice. Consult a healthcare professional.
Possible Negative Effects
Growing Information
Auto El Fuego can be cultivated indoors and outdoors with a flowering time of 60 days from seed, yielding 28-40 grams per plant. The strain completes its life cycle in only 60 days from seed to harvest and is a relatively short plant that produces relatively small yields. For outdoor growing, it should be planted during the hottest 2 months with maximum sunlight during the day. This easy-to-grow plant meets the needs of resin extraction enthusiasts and rewards growers with a beautiful blanket of crystals when provided with proper nutrition and environmental conditions. The strain is considered beginner-friendly and suitable for various growing methods.