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SGS Is Pleased To Announce The Acquisition Of BioVision Seed Research Ltd., Sherwood Park, AB

 
Headquartered Sherwood Park, AB, with additional facilities in Winnipeg and Grand Prairie; BioVision Seed Research Ltd. is a leading seed, grain and soil testing laboratory serving the agricultural markets in Western Canada and beyond. The company offers testing across a broad variety of crops, supported by its fully-accredited experts and laboratories (CFIA, CSI, ISO 9001:2008).
 
Founded in 1996 and privately owned, BioVision Seed Research Ltd. employs 20 staff and generated revenues in excess of CAD 3.4 million in the last financial year.
 
"This acquisition reinforces our already strong presence in the Canadian agricultural market and allows us to expand our portfolio of services across our extensive country-wide branch network," said Frankie Ng, CEO of SGS.
 
Source : SGS Canada Inc.

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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.