Farmers as Guardians: Conserving Ghana's Minor Crops

Oct 24, 2024

Ghana’s rich agrobiodiversity is increasingly threatened by the decreasing use of traditional minor crops, which are becoming ‘neglect and underutilization species’. These crops – essential for rural livelihoods and food security – face genetic erosion and a lack of conservation.

To address this, a pilot project has been launched to establish a community see bank in Ghana, co-led by the NUS Network of Ghana and the Alliance of Bioversity International and CIAT, and supported by the Netherlands Embassy in Ghana. The initiative aims to preserve local crop varieties, promote farmer cooperation, and ensure the long-term sustainability of agricultural biodiversity.

The pilot community seedbank has been established in Adawso, where farmers are actively involved in managing and conserving seeds from their fields.

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Video: Seeing the Whole Season: How Continuous Crop Modeling Is Changing Breeding

Plant breeding has long been shaped by snapshots. A walk through a plot. A single set of notes. A yield check at the end of the season. But crops do not grow in moments. They change every day.

In this conversation, Gary Nijak of AerialPLOT explains how continuous crop modeling is changing the way breeders see, measure, and select plants by capturing growth, stress, and recovery across the entire season, not just at isolated points in time.

Nijak breaks down why point-in-time observations can miss critical performance signals, how repeated, season-long data collection removes the human bottleneck in breeding, and what becomes possible when every plot is treated as a living data set. He also explores how continuous modeling allows breeding programs to move beyond vague descriptors and toward measurable, repeatable insights that connect directly to on-farm outcomes.

This conversation explores:

• What continuous crop modeling is and how it works

• Why traditional field observations fall short over a full growing season

• How scale and repeated measurement change breeding decisions

• What “digital twins” of plots mean for selection and performance

• Why data, not hardware, is driving the next shift in breeding innovation As data-driven breeding moves from research into real-world programs, this discussion offers a clear look at how seeing the whole season is reshaping value for breeders, seed companies, and farmers, and why this may be only the beginning.