- Changes in rocket salad phytochemicals within the commercial supply chain: Glucosinolates, isothiocyanates, amino acids and bacterial load increase significantly after processing. Sitting around is good for rucola’s nutritional value.
- From “Genetic Resources” to “Ecosystems Services”: A Century of Science and Global Policies for Crop Diversity Conservation. Not just stuff to mine.
- Camels and Climate Resilience: Adaptation in Northern Kenya. Increasing focus on camel herding a reasonable climate resilience strategy, but only under some scenarios, for some communities. And what is it doing to diversity?
- A review of factors that influence the production of quality seed for long-term conservation in genebanks. What’s best for commercial seed production is not necessarily best for long-term conservation. Though it won’t hurt.
- The eco-evolutionary impacts of domestication and agricultural practices on wild species. Agriculture (plant breeding, agricultural practices and gene flow with crops) can have evolutionary consequences for wild species that undermine the success of agriculture.
- Multiple alleles at a single locus control seed dormancy in Swedish Arabidopsis. Careful with that GWAS!
Brainfood: African sorghum, Dying living collections, Safe oats, Faba relative, Monitoring erosion, Driving livestock diversity, Sweet cryo, Wild rice genomes, Indian foxtails, Bonsai cassava, Sahelian food trees
- Assessment of genetic diversity of sorghum [Sorghum bicolor (l.) Moench] germplasm in East and Central Africa. Each country is different.
- A Review of Living Collections with Special Emphasis on Sustainability and Its Impact on Research Across Multiple Disciplines. Crop genebanks are just the tip of the iceberg, but they all have the same problems.
- Why Oats Are Safe and Healthy for Celiac Disease Patients. Because of the avenins.
- 14,000-year-old seeds indicate the Levantine origin of the lost progenitor of faba bean. Eureka!
- Monitoring Changes in Genetic Diversity. Needs genetic data.
- An exploratory analysis on how geographic, socioeconomic, and environmental drivers affect the diversity of livestock breeds worldwide. More animals = more breeds.
- Cryopreservation and evaluations of vegetative growth, microtuber production and genetic stability in regenerants of purple-fleshed potato. Apparently the first time it was done for this colour of sweet potatoes.
- Sequencing of Australian wild rice genomes reveals ancestral relationships with domesticated rice. N. Australia is the centre of diversity of genome A.
- Genetic diversity and variability in Foxtail millet [Setaria italica (L.)] germplasm based on morphological traits. 51 Indian elites form non-geographic groups.
- The Bonsai as an alternative safety duplication system of the world cassava collection preserved at CIAT. So cool.
- Conservation of food tree species in Niger: towards a participatory approach in rural communities. Adansonia, Boscia and Maerua need watching.
Illustrating domestication
There’s really nothing better than a map to explain the history of domestication in an economic and effective fashion, but I have to say that this recent example from a paper on crop domestication in the Fertile Crescent misses the mark.
It’s supposed to show that…
…plant remains from archaeological sites dated to around 11,600-10,700 years ago suggest that in regions such as Turkey, Iran and Iraq, legumes, fruits and nuts dominated the diet, whereas cereals were the preferred types of plants in Jordan, Syria, Palestine and Israel.
Which I suppose it does, but I have to think they could have done better. Compare with this, from another recent paper, showing the prevalence of spotted coats in early domestic horses.
It’s still a bit busy, but much clearer than the previous one, I think.
Would be great to see an index of all such maps, maybe a mash-up in due course, even a GIF eventually?
Sidestreaming agriculture in biodiversity action plans
It turns out I don’t have to get an intern to go through a whole bunch of NBSAPs to fillet out how agriculture is being mainstreamed into biodiversity conservation plans. That’s because Bioversity have done it for me. The bottom line?
Very few of the reviewed NBSAPs include explicit plans to use genetic resources for food and agriculture (GRFA), for climate change adaptation or for diversified diets and improved nutrition.
Why am I not surprised?
Brainfood: Aichi 14, Dwarf coconut diversity, Food system sustainability, African data, Pepper core, Australian flora, EU seed law, Rice conservation, Israeli genebank, ICRISAT pearl millet diversity
- Status and Trends in Global Ecosystem Services and Natural Capital: Assessing Progress Toward Aichi Biodiversity Target 14. 21 datasets, and the only “state” indicator for the “food” service is fisheries stocks?
- SSR markers reveal the population structure of Sri Lankan yellow dwarf coconuts (Cocos nucifera L.). They’ve been naughty with the talls.
- Identifying attributes of food system sustainability: emerging themes and consensus. Diversity, modularity, transparency, innovation and congruence. You had me at diversity.
- CELL5M: A geospatial database of agricultural indicators for Africa South of the Sahara. 134 data layers for harvested crop area.
- Genetic diversity and population structure analysis to construct a core collection from a large Capsicum germplasm. Based on transcriptome, no less.
- Genetic diversity and structure of the Australian flora. Meta-analysis finds some surprises. But for CWR?
- Securing Crop Genetic Diversity: Reconciling EU Seed Legislation and Biodiversity Treaties. EU seed law is an ass.
- Diversity Among Rice Landraces Under Static (Ex Situ) and Dynamic (On-Farm) Management: A Case from North-Western Indian Himalayas. For two landraces, more alleles per locus in situ compared to ex situ. And?
- Strategies and priorities in field collections for ex situ conservation: the case of the Israel Plant Gene Bank. Sort of a core collection of the whole flora.
- Adaptation Pattern and Genetic Potential of Indian Pearl Millet Named Landraces Conserved at the ICRISAT Genebank. Agronomically derived clusters show geographically structured distributions.