- Food matters: Dietary shifts increase the feasibility of 1.5°C pathways in line with the Paris Agreement. Go flexitarian.
- Biodiversity footprints of 151 popular dishes from around the world. Go flexitarian?
- Periodic Table of Food Initiative for generating biomolecular knowledge of edible biodiversity. Unclear if flexitarians have the best molecules.
- Environmentally protective diets may come with trade-offs for micronutrient adequacy. More sustainable may mean less nutritious. Flexitarians unavailable for comment.
- Market engagement, crop diversity, dietary diversity, and food security: evidence from small-scale agricultural households in Uganda. Market access and crop diversification are both good for dietary diversity and food security. The ultimate flexitarianism.
- Sustainability of one-time seed distributions: a long-term follow-up of vegetable seed kits in Tanzania. Now watch flexitarians demand an even playing field.
- Developing holistic assessments of food and agricultural systems: A meta‑framework for metrics users. One framework to rule all of the above.
Brainfood: Wild melon dispersal, Fertile Crescent domestications, Angiosperm threats, Wild rice alliance, Wild potato leaves, Brassica oleracea pangenome, Wild Vigna nutrients
- Frugivory by carnivores: Black-backed jackals are key dispersers of seeds of the scented !nara melon in the Namib Desert. Jackals pee on wild melon relatives and disperse their seeds, not necessarily in that order.
- Out of the Shadows: Reestablishing the Eastern Fertile Crescent as a Center of Agricultural Origins: Part 1. Go East, young archaeobotanists!
- Extinction risk predictions for the world’s flowering plants to support their conservation. Fancy maths says 45% of angiosperms are potentially threatened. Same for crop wild relatives in the Eastern Fertile Crescent? Black-backed jackals unavailable for comment.
- Global Wild Rice Germplasm Resources Conservation Alliance: WORLD WILD-RICE WIRING. Scientists get together to conserve global wild rice germplasm resources, understand the ecology of wild rice environments, identify and address threats, define effective ways to use wild species in rice improvement, and provide data for decision-making. Not a minute too soon, given the above.
- Morphometric analysis of wild potato leaves. Who needs genotyping anyway.
- Large-scale gene expression alterations introduced by structural variation drive morphotype diversification in Brassica oleracea. Brassica scientists need genotyping, apparently, that’s who.
- Exploring the nutritional potentials of wild Vigna legume species for neo-domestication prospects. Not much potential if they go extinct though. Quick, photograph their leaves!
Brainfood: US edition
- Vulnerability of U.S. new and industrial crop genetic resources. More germplasm (especially wild relatives) and breeders are needed in the US of castor bean, gumweed, guar, guayule, kenaf, roselle, safflower, sesame, sunn hemp, rubber dandelion and Vernonia.
- Safeguarding Plant Genetic Resources in the U.S. But the conservation system itself has its challenges, due to climate change.
- Operationalizing cultural adaptation to climate change: contemporary examples from United States agriculture. But climate change is not the only thing that agriculture (and possibly the conservation system too) needs to adapt to.
- Efforts to cryopreserve shrimp (Penaeid) genetic resources and the potential for a shrimp germplasm bank in the United States. Sure, why not, let them eat shrimp.
- Mother Tubers of Wild Potato Solanum jamesii can Make Shoots Five Times. Are enough populations of this thing in genebanks, I wonder? No, not compared to shrimps.
- ‘Hybrid’ US sheep breeder used endangered genetic material, faces jail. Yes, I know this is not peer-reviewed, but would you have left it out of this American round-up?
Brainfood: Landrace threats, Heritage areas, Bean erosion, Rice restoration, Cassava redundancy, Commercialization, Peanut network, Podolian cattle
- Towards a practical threat assessment methodology for crop landraces. Basically red listing for landraces.
- Preserving traditional systems: Identification of agricultural heritage areas based on agro-biodiversity. First places to apply the above?
- Genetic erosion within the Fabada dry bean market class revealed by high-throughput genotyping. Would have been nice to apply the above before doing this study.
- Restoration of the traditional high-altitude rice variety Dumbja in Bhutan. Highlights one of the problems with monitoring threats to landraces, i.e. how to define the landrace.
- Identifying genetically redundant accessions in the world’s largest cassava collection. About half of over 5000 genebank accessions were unique. Easier to recognize cassava landraces I guess.
- Agricultural commercialisation among women smallholder farmers in Nigeria: Implication for food security. Will commercialization help preserve some landraces but threaten others?
- The groundnut improvement network for Africa (GINA) germplasm collection: a unique genetic resource for breeding and gene discovery. Over a thousand accessions that will be just fine.
- An Appropriate Genetic Approach to Endangered Podolian Grey Cattle in the Context of Preserving Biodiversity and Sustainable Conservation of Genetic Resources. The livestock people monitor threat to breeds all the time, it seems.
Brainfood: Software edition
- NBPGR-PDS: A Precision Tool for Plant Germplasm Collecting. Fancy software can manage germplasm collecting info in the field.
- The role of genotypic and climatic variation at the range edge: A case study in winegrapes. Fancy software and analysis can predict how different grape varietals could expand in distribution under climate change.
- ClimMob: Software to support experimental citizen science in agriculture. Fancy software can help plan, manage and analyze large-scale, farmer-led germplasm evaluation trails.
- Herbarium specimen label transcription reimagined with large language models: Capabilities, productivity, and risks. Fancy software can transcribe herbarium labels.
- OliVaR: Improving olive variety recognition using deep neural networks. Fancy software can recognize olives.
- Reconstructing historic and modern potato late blight outbreaks using text analytics. Fancy software can track a pest epidemic.
- Evaluating responses by ChatGPT to farmers’ questions on irrigated lowland rice cultivation in Nigeria. Fancy software can be better than extension workers.
- Simulating pollen flow and field sampling constraints helps revise seed sampling recommendations for conserving genetic diversity. Fancy software and analysis can suggest changes to seed sampling strategies to take into account limited pollen flow.