Confusion about randomized completely block design

Hi guys,
I am a research student working in the dairy field and I am quite confused with the experiment I did recently.

I have three kinds of milk(1, 2, and 3 with different protein and fat content) and I tested three inoculation concentrations(treatment) for each of them, and there are three replicates. I think for milk 1 (see below) it is a 3 × 3 completely randomized block design, which incorporated 3 treatments and 3 blocks (replicate trials).

And for milk 2 and milk 3, the experiment design is the same.
There is no problem to analyze the influences of different treatments for each of the milk(1, 2, 3), but how can I compare the three different milks, like I want to compare the data from milk 1, 2, and 3 on the conditions of treatment 1? I think I cannot just use ANOVA to analyze it.

I am not sure if there is any way to combine the three whole/big experiments together and analyze them, like what kind of statistical analysis method should I use, or is there a better way to design it in your opinion?

So this is why I come here to seek your kind help. I am really bad at statistics and if my question looks stupid to you please forgive me. Thank you all.