- China makes progress in its agrobiodiversity census.
- Osage orange history deconstructed: “horse high, hog tight, and bull strong.”
- Maize history deconstructed.
- Using AI to assess the vulnerability of plant species. Vulnerability of landraces next?
- Not sure about landraces, but maybe pasturelands?
- Mapping food systems to save them.
Nibbles: OSGC, Satellites, IK, Craft beer, Livestock & CC
- Organic Seed Growers Conference, February 4–11, 2022. Don’t miss it.
- Mapping biodiversity from space. Agrobiodiversity next? I wish.
- How to cite Indigenous knowledge. Including in germplasm databases? I wish.
- An old Czech barley variety from an Austrian genebank makes a comeback in craft brewing. I dunno though, I need to look into this a bit more.
- Demonizing livestock is unjust. But will probably continue.
Nibbles: Edibles books, Yam farmer, JL Hudson Seeds, Italian landraces, Native American maize
- University of Chicago Press series on food & drink: Edibles.
- An Indian farmer who’s really into tuber diversity is featured in The Hindu.
- “We are a public access seed bank – not a commercial seed company. You will find that our presentation of information and how you access our seedbank is a bit different from ordering seeds from the usual on-line commercial enterprise.”
- Italian university maps agrobiodiversity.
- Maize data in USDA’s GRIN database includes Indigenous group.
Brainfood: Chickpea genomes, DIIVA, Maize evolution, Malting barley, Wild gluten, Cucurbit review, Coconut genome double, USDA rice collection, CIAT bean collection, PGRFA data integration, USA cattle diversity, PGRFA history
- A chickpea genetic variation map based on the sequencing of 3,366 genomes. Where the good and the bad alleles are. Even The Economist is impressed.
- Crop Wild Relatives Crosses: Multi-Location Assessment in Durum Wheat, Barley, and Lentil. There are lots of good alleles in the wild relatives.
- The arches and spandrels of maize domestication, adaptation, and improvement. Some alleles are good by accident, and that’s ok.
- Malting Quality of ICARDA Elite Winter Barley (Hordeum vulgare L.) Germplasm Grown in Moroccan Middle Atlas. Here are some alleles for good beer.
- High molecular weight glutenin gene diversity in Aegilops tauschii demonstrates unique origin of superior wheat quality. And here are some alleles for good gluten. In a wild relative from unexpected place, as it turns out. More in the press release.
- Genetic resources of bottle gourd (Lagenaria siceraria (Molina) Standl.] and citron watermelon (Citrullus lanatus var. citroides (L.H. Bailey) Mansf. ex Greb.): implications for genetic improvement, product development and commercialization: a review. Not just good as rootstocks, and lots of alleles to play with.
- Coconut genome assembly enables evolutionary analysis of palms and highlights signaling pathways involved in salt tolerance. Looks like coconut might have lost a lot of good alleles at the end of the Pleistocene glaciations.
- High-quality reference genome sequences of two coconut cultivars provide insights into evolution of monocot chromosomes and differentiation of fiber content and plant height. The same gene controls height in coconuts as in maize and rice.
- Enhancing the searchability, breeding utility, and efficient management of germplasm accessions in the USDA−ARS rice collection. And now you can look for rice germplasm with the good height allele you want.
- History and impact of a bean (Phaseolus spp., Leguminosae, Phaseoleae) collection. Hopefully will be able to do the same for this bean collection soon.
- Integrating Genomic and Phenomic Approaches to Support Plant Genetic Resources Conservation and Use. The above, summarized.
- Gene Bank Collection Strategies Based Upon Geographic and Environmental Indicators for Beef Breeds in the United States of America. The above, plus environmental data, for cattle.
- History of Global Germplasm Conservation System. The above, writ large.
Questioning maps
As regular readers know all too well, I can’t resist a map mashup. So when I saw the latest data on deforestation in the Amazon, I fired up MapWarper and GoogleEarth and got to work.
And here’s a look at how recent deforestation in Brazil relates to the localities of past cassava collecting, at least as far as Genesys knows about it.
Now, I don’t know in what way deforestation (and associated disruptions) relates to loss of cassava diversity, but there’s a chance that it might. Could make an interesting PhD project for someone.
Anyway, encouraged by my pretty result, and remembering that I wanted to do something with some shiny new maps I had heard about, I next mashed up sorghum accessions and poverty in Burkina Faso. Here’s what I got.
What’s going on? Why are there relatively fewer sorghum accessions where poverty is higher (more red)? Are those places just harder to reach? Or do people there really grow less sorghum.
Again, I don’t know. But I think it would be interesting to find out.
All speculation welcome in the comments.