| Blog (biology & etc) | https://the-biologist-is-in.blogspot.com |
| Instagram (biology) | https://instagram.com/thebiologistisn |
| Instagram (art) | https://instagram.com/darrenabbeydesigns |
| GitHub (bioinformatics) | https://github.com/darrenabbey/ |
Instead, we know there are at least two genes involved.
AAbb x aaBB > AaBb > 1:16 aabb
With increased numbers of genes, the odds start to drop.
2 genes > 1:16
3 genes > 1:64
4 genes > 1:256
I don't recall exactly how many I planted or how many are blooming, so I can't really calculate odds for each model, but only the two gene model makes sense with the vague number I planted and the several precious blooming plants.
There are several more F2 vines blooming within just a few more days of the first. That first one was a month earlier than the F1 and two months earlier than the parental varieties.
This tells us that the precocious blooming isn't a single gene trait.
AA x aa > Aa > 1AA:2Aa:1aa
This model would not predict the F2s being any different from the F1 or parents.
The parental Phaseolus coccineus varieties from Mexico started blooming on Sept 6, 2023.
The F1 started blooming a month earlier in 2024.
The first F2 started blooming on July 1st, 2025.
I think that's a nice improvement towards locally adapting the genetics to my short-season growing area.
@Edrmorris I know there are differences between populations of Arisaema triphyllum with regards to how much seed they produce, that appears to be related to the genetic diversity within each population.
It seems like the logic would also apply to similar long-lived herbaceous plants like irises.
@Edrmorris I've got two clones of Alaska Iris (Iris setosa) from my last trip to central Alaska.
One bloomed very early and very shortly this spring. Even in Alaska, the bloom season for a patch is compressed to within a week or so.
AI Might Kill Us All (With Carbon Emissions)
https://hackaday.com/2025/07/03/ai-might-kill-us-all-with-carbon-emissions/
hackaday