2 Cultivation Myths You Should Never Believe and Why

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This week, the bio365 team has been rounding up links to expert commentary and research results that debunk common cannabis cultivation myths you shouldn’t believe.

To maximize your yield and quality, don’t believe these two big myths:

1. Indica vs. Sativa

Research shows indica and sativa classifications aren’t good enough. Now is the time to look beyond those terms to stand out in an increasingly competitive market.

Here’s what the researchers in the latest study found in their report:

“The Sativa–Indica scale currently used to label Cannabis poorly captures overall genomic and metabolomic variation. Cannabis labelling is instead probably driven primarily by a small number of key terpenes whose concentrations contribute to the characteristic aromas commonly associated with Sativa and Indica and whose variation we genetically mapped to tandem arrays of terpene synthase genes on chromosomes 5 and 6.

“While the vernacular labels ‘Sativa’ and ‘Indica’ are derived from taxonomic names that were originally used to categorize plants according to ancestry4, these terms have been co-opted by contemporary Cannabis culture and now probably reflect locus-specific genetic variation affecting terpene synthesis.

“Our results suggest that a practical and reliable classification system for Cannabis that is consistent with contemporary understanding of the terms ‘Sativa’ and ‘Indica’ may be achievable by quantifying a small number of terpenes and/or genotyping genetic markers associated with key Cannabis aromas.”

Read these articles to learn more:

2. Data Plays a Small Role (or No Role) in Cannabis Cultivation

Data is actually critical to maximize yields and quality, including data on everything from soil, water, nitrogen, and so much more.
As explained in Cannabis Technology Today, “The key to being successful in cannabis cultivation is a numbers game – it’s about percentages, and squeezing an extra 2%, 3%, or 5% out of everything you do in your grow. So, contrary to traditional agricultural thinking, it’s not just about science: It’s about math.”

Read the full article for all the details:

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