Plant-Profile about Shiva Skunk (by Sensi Seeds)
This Plant-Profile was generated by 1 single profiles, particular thanks goes to: cannastar
Information about the growth of the plants:
- Flowering Time Indoor
-
Between 66 and 66 days (Average: 66)
- Stretch after the initiation of flowering
-
±180 Percent
Initial of flowering onto around 25 cm. - Final Height onto around 70 cm.
- Growth Behavior
-
Strong
- Side Branches
-
an average number
;
into an average length
as well as
slightly below average strongness
- The plants of this Cannabis-Strain...
-
-
...can be placed close together.
-
...need much care.
-
...do not need much fertilizer.
-
...are susceptible to mold.
-
...are tolerant of temperature fluctuations.
-
...looks and grow more like a Indica.
-
...are well suited for a SoG (See of Green).
-
...do not respond well to the pruning of the main stem.
Harvest, Yield, Taste, Aroma, strength and effectiveness
- Yield / Quantity
-
The crop of this strain is ordinary
- Buds / Leaves
-
The ratio of buds to leaves is below average
- Bud Structure
-
The dried buds are rather fluffy
- Strength / Lasting Effect
-
The weed is not to strong and not to soft
- Tolerance Built
-
slightly above average tolerance education
Effect/Effectiveness
Smell / Aroma
Taste
No data available for this strain.
General Impression
Shiva Skunk (Sensi Seeds) (Indoor) is all together slightly above average
(On average 6 Points onto a scale between 0 and 10!)
Additional Information
Un peu déçu par cette variété, je m'attendais à beaucoup mieux, temps de floraison avoisinat les 70 jours et t^tes peu compact....sans+
Here you can have a look onto the single Plant-Profiles:
Single Plant-Profiles about this strain was uploaded by: cannastar
SeedFinder Strain Reviews
This Strain-Profile is an average out of all Plant-Profiles who was uploaded by our users. If you also have grown this strain before, please use our upload-form to expand and update this data! Its fast and easy, you only have to check some boxes, but it will help us a lot to fill up our database and standardize the strain-descriptions. And later we can integrate some options to search or sort this data, too!