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Organic agriculture research flourishing in local vineyards

A Brock University-led team is gaining insights into nature-based practices for climate change adaptation, pest management and boosting soil quality through research in three Niagara organic vineyards.

Led by Professor of Biology Liette Vasseur, the group is testing the use of cover crops — primarily flowering indigenous species — to improve resilience to droughts, flooding and other climate change impacts.

These native plants are usually more adapted to local climate and environmental variations than species introduced commercially from outside North America, says Vasseur.

Early results on how seven native species planted last year interreacted with the vineyards are promising.

“Increasing biodiversity through the use of a mix of native species can help to enhance soil health and diversity, buffer against weather extremes, prevent erosion and attract predators of insect pests,” says Vasseur.

The cover crops are also having an impact on the presence of insects.

“Our first observations suggest that leafhoppers are going into the flowers of the cover crops instead of being on the vines, which may reduce damage to the grapes,” says Vasseur.

She says the cover crops are attracting fairy flies and parasitoids, which are among beneficial insects that destroy vineyard pests.

To monitor the types and abundance of insects found in the vineyards, the team is using pieces of coloured cardboard coated with glue that attract and trap insects.

Honours student Angel Lainscek set up yellow, green and red sticky traps in vineyards at the Redstone, Southbrook and Tawse wineries last summer and again this year.

The team has identified three factors – how high the cards are placed, where they’re located along the rows and their colour – that determine the type and number of insects trapped, says Vasseur

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Trending Video

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

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.