Nibbles: Farm size, Evidence-based policy, Priority sites, Tibetan grasslands, Sustainable intensification, Lipid improvement, Medicinal plants, Local fish, Wheat access, Purple yam,

  • Small is beautiful. No, wait… And more from where that came, ahem, from.
  • Evidence? We don’t need no stinking evidence.
  • CIAT blogs about a workshop about a model about prioritization about populations about breeding about beans. While its peach palm thing gets picked up.
  • Tibetan grasslands feel the heat. Not entirely certain why ICRAF should care, but it’s good to know.
  • Peaches compatible with maize in Bolivian agrobiodiversity hotspot. Not nearly enough info in this release, will need to chase it up. And here it is.
  • Rothamstead engineers lipids. But it’s for better nutrition, so that’s ok.
  • Trad med in RSA.
  • Fish as an ingredient of complementary foods. Nutritious, I’m sure, but I suspect Crocodile Dundee’s comment on the iguana applies.
  • US wheat breeders worried about access. Maybe if the country ratified the ITPGRFA?
  • Filipinos really like purple sweets, apparently. Here are some made of purple yam, ube, Dioscorea alata, call it what you will.

Brainfood: Vitamin C, Nutrition and health, European protected areas, Coffea diversity, Climate change modelling, Soil microbes, Niche modelling, Conflict, Human modified landscapes, Horse diversity, Pigeon diversity

Brainfood: Peanuts, CC and biodiversity data, Climate change and vegetables, Biodiversity indicators, Lettuce diversity, Brazilian intensification, Brazilian natural products, English organic, Bolivian traditions, Protecting sea cucumbers, Urban meadows, Crop expansion, Chinese forests, Peach palm, Ancient RNA, Sweet potato movement, Date conservation

Brainfood: Introductions, Diversified farming systems, Breadfruit, Rice, Aquaculture threats, Arthropods in rice, Diverse landscapes, Diverse pollinators, Species re-introduction, Ecosystem function, Grapes, Prunus africana

EarthStat has crop stats

Those of you last summer who followed a link in a post of ours on crop distribution mapping to

…the dataset of Monfreda et al. (2008), “Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000″…

will have ended up on a file directory containing a whole bunch of crop-specific zip files, from which you could have eventually extracted the modeled distribution of, say, coffee:

coffee

Or whatever. Nice, but all a bit fiddly. Well, now there’s a much nicer way of downloading the data in all kinds of useful forms, including Google Earth files. Though you do have to register.

I wonder if ICARDA used these data, or some others, to do their recent work on the impact of climate change on wheat in Central Asia. Difficult to tell from the blurb.