Soybean Innovation Lab

Soybean Innovation Lab The Soybean Innovation Lab at the University of Illinois advances soybean as a key feed, oil, and industrial crop in Sub-Saharan Africa.

With a network across 31 countries, SIL supports partners serving one of the region’s fastest-growing markets. The Soybean Innovation Lab (SIL) focuses its efforts on four key research pillars that comprise the essential components of sustained production, improved livestock and household nutrition and sustainable market linkages for soybean development:

Pillar I: Genetic Improvement
Pillar II: C

rop Productivity and Quality
Pillar III: Nutrition (Livestock and Human)
Pillar IV: Value Chains & Socio-Economic Research

To accomplish our mission SIL brings together leading U.S. and African soybean researchers, both natural and social scientists, to provide a sound research foundation to achieve the development to commercialization process of soybean in sub-Saharan Africa (SSA). SIL’s approach is to listen and understand the needs of soybean practitioners, and then design activities that provide the answers that lead to success. Our technical experts cross the entire soybean value chain from germplasm management, seed systems and agronomic practice to storage, processing, nutrition, and value chain economics.

09/02/2026
The Soybean Innovation Lab (SIL) was proud to participate in the recent 2026 Legume Tour in Malawi, showcasing practical...
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
Learning today. Improving tomorrow.Every growing season generates valuable field observations.But the greatest opportuni...
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



How can predictive modeling support soybean variety decisions?Selecting soybean varieties involves more than comparing y...
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

Every observation is an opportunity to make a better decision.Good decision-making doesn't end after selecting the right...
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?

Which soybean varieties are best suited for Angola?Using SIL's Head-to-Head™ predictive model, we analyzed more than 500...
06/25/2026

Which soybean varieties are best suited for Angola?

Using SIL's Head-to-Head™ predictive model, we analyzed more than 500 geo-locations across Angola to identify the soybean varieties predicted to perform best under different agroecological conditions.

The model identified six varieties with the greatest potential coverage, together representing more than 90% of Angola's possible growing regions.

Read the full article to explore the maps, methodology, and regional recommendations.

🔗 https://tinyurl.com/sil-nl-angola2026

# Africa

Good decisions only matter if they can be acted upon.In South Sudan, one of SIL's partners was working to improve soybea...
06/09/2026

Good decisions only matter if they can be acted upon.

In South Sudan, one of SIL's partners was working to improve soybean production opportunities for thousands of smallholder farmers.

Through PAT™, soybean varieties were evaluated across multiple production environments, helping identify three varieties that were ultimately selected for registration and commercialization.

Information creates possibilities.

Action creates outcomes.

Learn more through the SIL Decision Support Assessment:
https://sildecisionsupport.base44.app

The Pan-African Variety Trials™ (PAT™) have identified the top 10 soybean varieties showing the strongest performance ac...
06/02/2026

The Pan-African Variety Trials™ (PAT™) have identified the top 10 soybean varieties showing the strongest performance across Malawi trial environments.

The results highlight promising new entries, substantial yield advantages over the current commercial benchmark, and important progress toward variety release and farmer access.

Read the full article:
🔗 [https://tinyurl.com/sil-top10-malawi]

Address

215 Mumford Hall 1301 W. Gregory Drive
Urbana, IL
61801

Opening Hours

Monday 8am - 4pm
Tuesday 8am - 4pm
Wednesday 8am - 4pm
Thursday 8am - 4pm
Friday 8am - 4pm

Telephone

(217) 333-7425

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