- The US is hiding meaty methane emissions.
- What’s an Indian agricultural labourer earn? It depends …
- The traditional year-end revisitation of the magic of myrrh.
- A year end knees-up argument of whether the Irish are from the Caspian steppes or some other place.
- The traditional harvest of odd non-potatoes, oca at year’s end, and oca at year’s beginning.
- A convenient year-end summary of crop domestication, mostly rice.
- Speaking of which, millets (and Jeremy) hit the big time.
Brainfood: Grazing, Dung beetles, Intensification, Pineapple diversity, Grassland N
- Behavioural Response of Pure Ankole and Crossbred (Ankole x Holstein) Cows to Seasonal Pasture Variations in Southwestern Uganda. The cross-bred cows have to eat for longer than the local breed, which makes for problems during both wet and dry seasons.
- Functionally rich dung beetle assemblages are required to provide multiple ecosystem services. It’s not just about the dung removal. No word on whether cross-bred dung tastier.
- Swiddens under transition: Consequences of agricultural intensification in the Amazon. Intensification without diversification is going to be a problem.
- Developing single nucleotide polymorphism markers for the identification of pineapple (Ananas comosus) germplasm. High redundancy in the USDA collection, and little correspondence between horticultural classifications and genotyping.
- Grassland biodiversity bounces back from long-term nitrogen addition. Pollution bad for grassland biodiversity, stopping pollution good for grassland biodiversity.
Brainfood: Wild rice database, E Asian wheat diversity, Microbial terroir, Sesame breeding, Agrobiodiversity fairs, AnGR conservation, Rye diversity
- OryzaGenome: Genome Diversity Database of Wild Oryza Species. Well, only 2 species thus far, but it’s a start.
- Evaluation of East Asian landrace wheat revealed by high molecular weight glutenin and maturity period. The Chinese accessions are different to the Japanese-Korean, and 3 of the former have both good gluten composition and early maturity, making them attractive to Korean breeders.
- Sequence-based Analysis of the Vitis vinifera L. cv Cabernet Sauvignon Grape Must Mycobiome in Three South African Vineyards Employing Distinct Agronomic Systems. Even microbes contribute to terroir.
- Genetic Diversity, Population Structure, and Association Mapping of 10 Agronomic Traits in Sesame. Some markers will be really useful in breeding.
- The fairs of agrobiodiversity in the context of participatory plant breeding — Local Agricultural Innovation Program in Cuba. Meaning and impact. Diversity will find a way.
- Biobanking genetic resources: Challenges and implementation at the USDA National Animal Germplasm Program. Everything that’s not cattle and swine is a problem.
- Geography and end use drive the diversification of worldwide winter rye populations. There may have been multiple domestications, and improvement has not led to decrease in diversity.
Nibbles: Tree conservation, Seed fairs, Baobab powder, Simran’s book, Cheesy prince, Companies & CC, Organic breeding
- Crowdfunding the Zero Tree Extinctions project.
- Seed fairs for climate change adaptation in Zimbabwe.
- Make mine a baobab smoothie.
- Another great review of Simran Sethi’s new book Bread, Wine, Chocolate: The Slow Loss of Foods We Love.
- Blessed are the cheesemakers.
- Big Food taking fright?
- Breeding the organic breeders of the future.
Model livestock information systems
Attentive readers will know I occasionally take swipes at the state of genetic resources information systems, both in the crops and domestic livestock areas. But as far as the latter is concerned it’s getting more and more difficult to do so, a twinge of jealousy being the more usual reaction. Take for example the fact that you can now download the results of distribution modelling, under various climate change scenarios, for 8800 livestock breeds, as recorded in the Domestic Animal Diversity Information system (DAD-IS). Here they are for Vietnam’s Ga Dong Tao chicken. Light green is the area currently suitable, red is the area suitable in 2050, dark green is the area suitable under both current and future conditions. The grey polygon is the reported distribution of the breed.
I suspect it will be some time before we’re able to do something similar for crops.