Health Canada Upholds Their Decision On The Safety Of Glyphosate

Jan 11, 2019

Health Canada's final re-evaluation of glyphosate deeming the product as safe for humans and the environment will stand.

This after eight objections to the departments re-evaluation which was completed in 2017.

In a statement from Health Canada, the department said there were also concerns raised publicly surround the validity of some of the science around glyphosate in what is being referred to as The Monsanto Papers.

Health Canada adds after a thorough scientific review, the department has concluded the concerns raised by the objectors could not be scientifically supported when considering the entire body of relevant data.

"Our scientists left no stone unturned in conducting this review," Dr. Connie Moase with Health Canada’s Pest Management Regulatory Agency said in a teleconference Friday. "They had access to all relevant data and information from federal and provincial governments, international regulatory agencies, published scientific reports and multiple pesticide manufacturers. This includes the reviews in the Monsanto Papers."

The Government says no pesticide regulatory authority in the world currently considers glyphosate to be a cancer risk to humans at the levels at which humans are currently exposed.

Source : Discoverairdrie

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.