Brainfood: Human diversity, Wild rye, Caribbean cassava, Three Sisters, Old beer, Old apples, Feral crops, Crop resynthesis

Dams, damn dams, and accessions

Every once in a while a new dam dataset crops up. Dam, not damn. Well, maybe damn as well. Anyway, when that happens, I feel compelled to mash it up with accession locality data. Because if I don’t do it, who will?

The new dataset is the Global Dam Tracker, and you can download it and everything of course. It’s pretty easy to then upload it to Google Earth and play around with it. Including combining it with data on wild Oryza accessions from Genesys, for example.

On this map, the dams are shown in blue and wild rice accessions in red.

You can zoom in if you’re worried about the long-term in situ future of any given population.

Not for the first time, I wonder about the feasibility of one day automatically and in real time combining data from multiple such potential stressors to predict the risk of genetic erosion around the world. Something that AI should be able to do, surely?

Brainfood: Seed imaging, Disease imaging, Seed traits, Irvingia shape, Mexican tomatoes, Fine cacao, Wine tourism, Wild peas

What have micronutrients ever done for us?

Over on Twitter, Ty Beal of GAIN has a thread on micronutrients. It’s based on a recent lecture and it has useful data and nice slides. Here’s the money quote:

In lower income countries micronutrient deficiencies are due in part to people not having access to diverse diets. They want healthy, nutrient dense foods but can’t afford them or access them in markets.