- The Cayman Islands bets on a genebank of coconut diversity.
- The Alliance of Bioversity & CIAT’s genebank bets on growth cabinets to save picky wild bean.
- IITA bets on stakeholders to build a better Bambara groundnut. And its genebank, presumably.
- The Australian Seed Bank Partnership bets on, well, seeds.
- The UAE bets on a PGRFA law.
- Ethiopia bet on a national genebank 50 years ago.
- People have been betting on the chagra in the Amazon for 4,500 years.
Brainfood: Seeds through time
- Natufian sickle blades (ca. 15,000–11,700 cal. BP) reveal cereal cultivation ca. 4.5 millennia before domestication. Archaeological evidence from ancient sickle blades suggests that people were harvesting cereal seeds thousands of years before domesticated forms emerged, blurring the line between foraging and farming, and offering fresh insight into the long co-evolution of humans and crops.
- Teosinte alleles enhance nitrogen assimilation and seed protein in maize. Wild relatives continue to provide valuable genetic resources for the improvement of crop seeds.
- Modeling seed germination data to meet biodiversity conservation needs in the Mediterranean. Robust germination models can improve both restoration planning and ex situ conservation by predicting when and how seeds are most likely to establish.
- To grow or not to grow: questioning seed dormancy and thermal germination responses along elevational gradients in four plant taxa. Seed dormancy does not always follow predictable patterns across environmental gradients.
- Delayed Seed Germination as a Strategy to Cope With Environmental Stress and Disturbance. Seed dormancy follows a (fairly) predictable pattern when you look at stress and disturbance.
- Reconsidering how to dry orthodox seeds for improved ex situ conservation outcomes. Conventional wisdom about drying orthodox seeds before storage may deserve re-evaluation, and refining drying protocols could enhance long-term viability and strengthen the effectiveness of seed banks.
- Short periods dominate mast seeding across diverse tree species. A broad analysis of mast seeding reveals that many tree species synchronize seed production over relatively short recurring intervals rather than highly irregular cycles.
Brainfood: Diversity of Oats, Cotton, Sugarcane, Rice, Amaranthus, Vegetables, Agroforestry, Value chains
- Genome-wide comparative diversity uncovers population structure, global distribution, and targets of selection in hexaploid oat. A worldwide survey reveals how oat diversity is structured, spread, and shaped by breeding, helping pinpoint untapped genetic resources for future improvement.
- Genomic diversity and the domestication history of cotton (Gossypium hirsutum). Its genome traces cotton’s journey from its wild origins in Mesoamerica while documenting the genetic narrowing that accompanied domestication.
- Genetic architecture of sugarcane traits in a polyploid genomics framework. New genomic tools finally begin to untangle the diversity of one of agriculture’s most genetically complex crops, exposing the basis of traits breeders have long selected largely in the dark.
- Projected warming will exceed the long-term thermal limits of rice cultivation. Rice has historically thrived within remarkably stable climatic boundaries. Those boundaries are now on course to be crossed across major growing regions, with profound implications for global food security. Diversity to the rescue?
- An inter-specific Amaranthus pangenome captures genetic variation potentially underlying key leafy vegetable traits in this underutilised crop. A rich reservoir of previously hidden diversity emerges from across multiple cultivated amaranths, offering breeders new options for improving a neglected but nutritious vegetable.
- Impact of gardening and nutrition support provided to women in refugee camps in Cox’s Bazar, Bangladesh. Even in one of the world’s most challenging humanitarian settings, greater interspecific crop diversity translated into better diets, improved food security, and enhanced wellbeing.
- Designing perennial crop-based agroforestry systems: specificities, challenges, and opportunities. Diversification does not stop at the field edge: how perennial crops can be combined with trees to deliver productive, resilient, and biodiversity-friendly farming systems.
- Towards Nature Positive supply chains: From biodiversity commitments to organisational action. What would it take to move biodiversity from corporate promises to business practice? Maybe the above examples can help turn aspiration into measurable action.
Nibbles: Johnny Appleseed, ICRAF genebanks, China lychee genebank, Ethiopian Biodiversity Institute, Saudi tree genebanks, European genebank data, Pricing nature
- Johnny Appleseed basically set up fruit tree genebanks 200 years ago.
- Modern fruit tree genebanks could probably learn something from Mr Appleseed.
- Is there a Mr Lycheeseed, I wonder?
- There are probably some fruit tree collections at the Ethiopian Biodiversity Institute.
- Saudi Arabia is betting on tree genebanks. Maybe even fruit tree genebanks.
- All genebanks need to share their data, according to the guy in charge of helping European genebanks share their data.
- Can you put a value on genebanks? Should you?
Brainfood: Spatial data edition
- The ClimSat classification system—a global climate classification map based on long-term satellite-derived data. There’s a new global climate classification system in town, and it’s better ecologically than Köppen’s.
- The first global agricultural field boundary map at 10 m resolution. Combined with the above, we can now characterize the climate of every agricultural field in the world.
- GEM-Forest: A Global satellite EMbedding–based map of forests and tree crops for 2020. Do any of those fields have tree crops? And how far is the forest?
- Global annual cropland dynamics 2015–2024. The next time we map agricultural field boundaries, there will probably be more of them.
- Climate-induced range shifts support local plant diversity but don’t reduce extinction risk. Those new agricultural fields will be bad for wild plants.
- ‘SiteTool’: a ‘Shiny’ application for field site selection and evaluation. Cool new tool helps you select geographical sites based on ecological characteristics. Could be used to help decide where to collect or evaluate germplasm. Lots of opportunities for combining with some of the above, I suspect.
- Current and future potential of cassava (Manihot esculenta) in Southern Africa: a scoping review. An example of what you can do when you combine different types of spatial (and other data). The area suitable for cassava in Africa will increase, and there’s lots of scope for higher yields too. If we can combine datasets, soon we’ll know which specific fields to grow it in, for higher production, to protect wild biodiversity…
- Global and regional climate modes modulate armed conflict risk. …and to mitigate the risk of conflict.