New mentorship opportunities for Canadian women in agriculture

Mar 05, 2024

By Vanessa Renaud, Director, Ontario Federation of Agriculture

Historically, agriculture in Canada has been a male-dominated industry, but women have always played very pivotal roles in farm businesses – just mostly behind the scenes or in a supportive rather than leading capacity.

This is now changing. Along with the general demographic shift in agriculture as older farmers are facing retirement and a new generation is taking over the management and ownership of farm businesses, there are also more women stepping into leadership roles in farms of all types and sizes.

I know first-hand that this is happening as I work with my father on our family farm near Green Valley in Eastern Ontario. As a Certified Crop Advisor, I also work as a crop input consultant with farmers in our area. But it’s not just based on my own experiences.

The latest Canadian census numbers show that women represent a greater proportion of our farmers than in the past. About 30 per cent of Canada’s farmers are women, and in 2021 we saw the first increase in the number of female farmers in Canada in 30 years.

According to Statistics Canada, this is due almost entirely to the fact that more women are now farming on their own. The numbers also illustrate that women are running larger farm businesses than in the past.

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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.