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Minister MacAulay announces re-appointment to Farm Products Council of Canada

OTTAWA, ON, The Honourable Lawrence MacAulay, Minister of Agriculture and Agri-Food, announced the re-appointment of Morgan Moore as a Member of the Farm Products Council of Canada (FPCC).

Mr. Moore is a farmer and has a cow/calf and commercial sheep operation, near Brandon, Manitoba.

He holds a Professional Agrologist designation with the Manitoba Institute of Agrologists and is an alumnus of the University of Guelph where he received his Bachelor of Sciences in Agriculture.

FPCC is a federal organization that oversees the national supply management system for poultry and eggs, including the operations of the four national marketing agencies. It also oversees the creation and operation of promotion and research agencies.

Mr. Moore was first appointed in June 2019, through an open, transparent and merit-based process. His re-appointment is for a term of two years.

Source : New

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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.