Designing Smarter Trials: How To Evaluate
Interaction Effects?

Crop performance isn’t just about one factor—it’s the result of interactions between product input, irrigation, weather, soil, tillage, biotic stress, variety mix, genotype... If you’re not testing these effects properly, you risk overlooking critical patterns and misinterpreting results.

When you test your crops for multiple factors, it can be challenging to analyze the interaction effects.

Deep dive in the campaign preparation of multi-location, multi-year and multi-factor trials--with large protocols.

Advanced digital tools empower agronomists to design innovative protocols that structure research creativity and unlock deeper insights on crop performance.

At Doriane, we help research teams design smarter trials, secure data, and turn complexity into clarity.

Patricija Levickaite, agronomist & IT expert shares strategies for multi-factorial trials.

Key Take-aways:

• ‍Smart trial designs 🌱 Set up Genotype x Products and Product × Soil pH x Genotype interactions the right way.
• ‍Irrigation effects 💦 Why some methods boost bioproducts while others wash them away.
• ‍Product & genotype mixes 🧪 Find the best combos for disease resistance and performance.
• ‍Data that matters 📊 How to filter multi-year results for real insights.

Make it easy with Bloomeo!
Bloomeo helps researchers design multi-factorial trials, run multi-location experiments, and analyze data—all in one place. Get the insights you need to prove product efficiency and make smarter decisions.

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