Brainfood: Green Revolution narratives, Soybean diversity, Wild barley diversity, Maize and bean breeding, Rice breeding, Apple pedigrees, Trees and diets, ICRISAT genebank, IITA genebank, GHUs, CGIAR policy, Diverse farming, De novo domestication

Brainfood: Kungas, Tomato domestication, Wild honeybees, Association mapping, Mixtures, Wild edible plants, DSI ABS, Fusarium wilt, Mango weeds, Conservation payments

Nibbles: Zimbabwe breeder, Indian genebank, Zambian genebank, Chinese genebank, Pakistan & Uzbekistan, Manchester planting

  1. Sorghum and millet breeder honoured in Zimbabwe. Always good to see.
  2. Germplasm evaluation efforts of Indian national genebank make it into the mainstream financial press. Also very good to see.
  3. Zambian national genebank does some much-needed safety duplication. More good news.
  4. Possibly good news, hard to say: Russian news agency on what seems to be a new wild rice genebank in China.
  5. Always good news to see two countries agree to collaborate on genetic resources.
  6. Manchester viaduct gets a greenlift. Good to see it, despite no genebanks being involved.

Cropland *could* be almost halved

I’m recycling this from Jeremy’s latest newsletter, with permission. So I don’t have to write something on the paper in question myself, as I originally planned.

I’m honestly not sure what to make of this recent paper: Global cropland could be almost halved: Assessment of land saving potentials under different strategies and implications for agricultural markets. The gist of it seems to be that if we were able to grow crops more productively (closing the yield gap, as it is known) we would need less land, reduce crop prices, and cure the common cold.

Not quite, obviously, but this kind of model-based approach to transforming global agriculture seems to me to be long on possibilities and short on practicalities. Of course, the modellers could point out that they are merely showing the way and that others will have to make the decision to take us down the road. Points, too, for figuring out how all this might affect prices and global trade flows. However, I remain befuddled and bemused, as I was when I first encountered this sort of study in 2009 and then again in 2017.