I know some of these questions have been beaten to death but I’ve read through several threads and this point hasn’t really been directly addressed and I couldn’t find any papers to support or refute my questions below. I am primarily concerned with power output and training adaptation in both aero and sitting up positions; but, I know position, types of bikes, etc. have been talked about at length elsewhere here. FTP testing in particular might not be as prevalent with predictive FTP out now so I adjusted the scenario I was thinking about just a little
FTP Testing Aero vs. Sitting scenario
I get that if a rider is racing in aero he/she should train in aero, but I don’t think that necessarily means “testing” in aero. If the cyclist’s muscles and body can put out “X” amount of power (let’s just say 300 for a nice easy number) while sitting up, and “Y” in aero (285), then if you always train at 285 then wouldn’t you be short-changing your training? The cyclist’s over-under threshold intervals, which are already in a tight window, might turn into 100%-90% as opposed to 105-95. Therefore, should the cyclist in question test in their most power-producing position and train in aero to that? Or, would adaptation to training stimulus change based on what the rider can do in that position?
By extension: Training on a road bike vs. TT bike (can extend to sitting up vs. aero position)
So that said, if a rider is able to put out more power on a road bike than a TT bike, are there more power gains to be had by mixing training between the two? Staying on the TT bike to keep flexibility and position up and dialed; like for z2 rides and threshold rides. Getting on the road bike to push out threshold rides and anything above threshold… particularly further out from race day, and move more exclusively to TT bike the closer the event is. As an aside, I personally wouldn’t touch VO2 intensity on my TT bike anyways because ideally, would never get there unless on a hill climb and trying to push over the top. So once it gets that hard anyways its time to sit up or stand.
Thirdly: Predictive FTP
Progression levels adapt to energy systems and ability to crank out workouts, so that wouldn’t change so much with position changes. However I believe it’s been a feature request to include multiple bikes to accommodate different positions for the following reason and logic… Would frequently changing positions across a season affect the machine learning / predictive FTP? Would it throw off the output by those 10-15 watts at the end of a season? A rider’s capabilities to put out power probably wouldn’t change much more than 10% or 15% no matter the type of bike (I have no science to back this up), but being able to add which type of bike we are on would be a useful data point added into the millions of data points in TR’s database.
Thoughts on any of the above?