Nibbles: Food tree, Wild chocolate, Cacao, Cassava in Africa, Indigenous ABS, Abbasid food, Valuing trees

  1. Gastropod episode on The Fruit that Could Save the World. Any guesses what that might be?
  2. Atlas Obscura podcast on an apparently now famous wild-harvested chocolate from Bolivia. But how wild is it really?
  3. BBC podcast on cacao for balance.
  4. Forbes touts an African cassava revolution. What, no podcast?
  5. Very interesting piece from the ever reliable Modern Farmer on how a small seed company called Fedco Seeds designated a bunch of maize landraces as “indigenously stewarded,” and are paying 10% of what they make from the sale of their seeds to a pooled Indigenous fund which goes to support a local, multi-tribal project called Nibezun. A sort of mini-MLS? Definitely worth a podcast. Any takers?
  6. A long but rewarding article in New Lines Magazine describes medieval cookbooks from the Abbasid caliphate. The recipes make up for the somewhat stilted podcast.
  7. BGCI publication on how the Morton Arboretum works out whether it should be growing a particular population or species of tree. The trick is to quantify 5 types of “value”: environmental, evolutionary, genetic diversity, horticultural, conservation. Though one could also consider hostorical/cultural, educational and economic value as well. I suspect in the end it comes down to whether it looks nice in an available gap. If I were to do a podcast on this, I’d test it out with the tree in the first of these Nibbles.

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 potential stressors, including dams, to predict the risk of genetic erosion around the world. Something that AI should be able to do, surely?

Nibbles: Food system transformation, Global food crisis, Rewilding, Genomics, Data management

  1. According to WWF, Solving the Great Food Puzzle involves, inter alia, nutritious indigenous crops, agrobiodiverse cropping systems, and traditional food cultures. Those are just 3 of 20 levers for food system transformation. Is it me or are levers and accelerators the current flavours of the month?
  2. Even the Gates Foundation agrees on that indigenous crop thing, kinda sorta, if you squint. In this piece, for example, Enock Chikava, Interim Director, Agricultural Development, waxes lyrical about teff.
  3. Meanwhile, in the middle of its tomato shortage, and not much interested in teff, the UK is betting on re-establishing prehistoric landscapes full of wild pigs and bison. Bold move.
  4. But who needs bison protein when you have the genome of the faba bean? Which after all is a nutritious indigenous crop, part of agrobiodiverse cropping systems, and a component of traditional food cultures.
  5. Ah, but you need to manage all that data on indigenous crops, and Clemson University is there to help. WWF take note.

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