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Research Expected to Help Determine when PED Infected Manure Storages Can be Considered Negative

Research being conducted in Manitoba and Alberta is expected to help epidemiologists determine when the stored manure on a PED infected farm can be considered negative. As part of research conducted in Manitoba on behalf of Swine Innovation Porc, scientists examining the longevity of Porcine Epidemic diarrhea virus in stored manure have determined that, after two years contaminated manure is no longer infective and now, as part of a similar study underway in Alberta the goal is to further narrow that time frame.

Javier Bahamon, the Quality Assurance and Production Manager with Alberta Pork, says the goal is to determine how long stored manure remains infective and when it's safe to consider those farms negative.

Clip-Javier Bahamon-Alberta Pork:

This specific information is going to be used in different ways. One obviously is the study of the epidemiological links between one farm to the other and understanding if that can be one of the venues that the virus can move.

That can be one answer with this. The other portion that I think is very important is how the industry perceives the disease and how we can minimize the impact on the producer. We know that the virus is there, we know that it's positive in the lagoons but, with this work, we can reduce the amount of time a farm can be called positive.

That's very important for how the farms can come back to a normal basis and to get to the market that they used to go without posing any risk to the industry as a whole. That's very important for all of us to understand that dynamic and that we can make more informed decisions when the time comes for any farm that's been infected by PED.

Source : Farmscape

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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.