Soybean Innovation Lab

10/15/2026

How can better information help turn soybean production potential into commercial opportunities?

At the Soybean Innovation Lab (SIL), technologies and partnerships are helping bridge the gap between agricultural research and practical decision-making.

Our latest newsletter shares an example from Malawi’s Lower Shire Valley, where SIL’s collaboration with Agricane highlights the value of connecting field experience, research, and market needs.

Discover the full story:
https://mailchi.mp/sil.illinois.edu/legume-tour-malawi

10/02/2026

🌱 Three countries. One prediction series.

From Angola to Tanzania to Zambia, SIL’s Head-to-Head™ Predictive Variety Series is exploring an important question:
Where are soybean varieties most likely to perform?

Explore the predictions country by country:
🇦🇴 Angola — See how six varieties cover more than 90% of modeled growing regions.
🔗 https://tinyurl.com/sil-prediction-angola

🇹🇿 Tanzania — See how variety performance changes across diverse growing environments.
🔗 https://tinyurl.com/sil-prediction-tanzania

🇿🇲 Zambia — Explore how predictive modeling can help identify where varieties are best positioned to perform.
🔗 https://tinyurl.com/sil-prediction-zambia

Explore the series — and stay tuned for what’s next.

09/29/2026

Which soybean varieties are most likely to perform well across Zambia?

Growing conditions vary across the country, and choosing the right variety can make a difference for farmers and seed companies.

SIL's Head-to-Head™ predictive model helps identify where soybean varieties are most likely to succeed.

Explore the full article, including predictive maps and insights into five soybean varieties with the greatest predicted national coverage.

🔗 Read the full article: [https://tinyurl.com/sil-nl-zambia]

09/02/2026

09/02/2026

The Soybean Innovation Lab (SIL) was proud to participate in the recent 2026 Legume Tour in Malawi, showcasing practical technologies to help farmers improve soybean productivity—from improved varieties and better agronomic practices to pest and disease management.

The tour provided an excellent opportunity to bring innovation into the field and strengthen partnerships toward a more productive soybean sector in Malawi.

From the right seeds to the right market—and ultimately to the farmer.

09/02/2026

09/02/2026

08/06/2026

Learning today. Improving tomorrow.

Every growing season generates valuable field observations.

But the greatest opportunity isn't simply collecting information. It's making sure those observations become better decisions for the next growing season.

When observations from demonstration plots are captured consistently and compared across locations, organizations can identify patterns, strengthen recommendations, and continuously improve their work.

That is the idea behind SMART Farm™ and the latest edition of our SIL Decision Support Campaign.

If you're interested in evaluating your organization's approach to decision support, our free Assessment Tool can help you identify opportunities to strengthen decision-making across your organization.

Start the Decision Support Assessment:
🔗https://sildecisionsupport.base44.app

07/20/2026

How can predictive modeling support soybean variety decisions?

Selecting soybean varieties involves more than comparing yield.

In the latest edition of our Predictive Variety Series, discover how SIL combines historical Pan-African field trial data with environmental information to help identify regional soybean variety opportunities across Tanzania.

🔗 Read the full article: https://tinyurl.com/sil-predictive-tanzania

07/01/2026

Every observation is an opportunity to make a better decision.

Good decision-making doesn't end after selecting the right soybean variety.

As conditions change throughout the growing season, new observations help guide the next management decisions.

See how the Soy Doctor™ Program supported stronger disease identification and soybean variety evaluation in Malawi.

What information becomes most valuable once the growing season begins?