Ha, I started a response on this thread a few days ago and got sidetracked. (My entire family is sick, ugh.) But the discussion has gotten interesting in the meantime! Good stuff.
@Marcel G, I understand your desire to pick apart all these different elements and understand how they interact and contribute to plant growth, but I think you need to be more realistic about what you can do with the resources you have and the strength of the conclusions you can draw. I hate to go back to this, but replication and randomization is as important as tightly controlling an experiment. Try as you might, we know that there are uncontrollable factors that may help or hinder growth between seemingly identical tanks and these factors can outweigh the effect of the independent variable you are testing. I'm not in plant research now, but in undergrad and grad school I worked on crop field studies, greenhouse studies, tissue culture studies and you would see that all the time. It's assumed that there will be some amount of error in an experiment (I mean in the statistical sense, not as in a mistake) and that's built into the design. Individual reps can be incongruous with the overall results of the study, but if there are enough of them it will come out in the wash.
So if you have four or eight totally different tanks you are comparing, you can't really know that any differences you observe are due to the independent variable rather than chance. If you take the results at face value, you will probably be right some of the time. But you'll be wrong some of the time too, and you'll never know which is which.
This gets to be even more of a problem the more complicated an experiment becomes - the more variables and levels of different variables, the more reps you need to separate the signal from the noise.
That's not to say that you should give up! Not at all! You are still doing what few people are in the hobby, and I want you to make the most of it. But I think you need to narrow down what you are testing and think of it more as gathering evidence rather than drawing sweeping conclusions. Yes, you won't be able to get all the answers you are looking for, but if you take an iterative approach you can probably find reasonable solutions to some eventually.
@Marcel G, I understand your desire to pick apart all these different elements and understand how they interact and contribute to plant growth, but I think you need to be more realistic about what you can do with the resources you have and the strength of the conclusions you can draw. I hate to go back to this, but replication and randomization is as important as tightly controlling an experiment. Try as you might, we know that there are uncontrollable factors that may help or hinder growth between seemingly identical tanks and these factors can outweigh the effect of the independent variable you are testing. I'm not in plant research now, but in undergrad and grad school I worked on crop field studies, greenhouse studies, tissue culture studies and you would see that all the time. It's assumed that there will be some amount of error in an experiment (I mean in the statistical sense, not as in a mistake) and that's built into the design. Individual reps can be incongruous with the overall results of the study, but if there are enough of them it will come out in the wash.
So if you have four or eight totally different tanks you are comparing, you can't really know that any differences you observe are due to the independent variable rather than chance. If you take the results at face value, you will probably be right some of the time. But you'll be wrong some of the time too, and you'll never know which is which.
This gets to be even more of a problem the more complicated an experiment becomes - the more variables and levels of different variables, the more reps you need to separate the signal from the noise.
That's not to say that you should give up! Not at all! You are still doing what few people are in the hobby, and I want you to make the most of it. But I think you need to narrow down what you are testing and think of it more as gathering evidence rather than drawing sweeping conclusions. Yes, you won't be able to get all the answers you are looking for, but if you take an iterative approach you can probably find reasonable solutions to some eventually.









