- More on the US push for opportunity crops.
- Oh look there’s a whole compendium on African opportunity crops from FAO.
- Many of them are roots and tubers.
- For the Hopi, maize is an opportunity crop.
- For the Adivasis, it’s rice.
- And more along the same lines from Odisha.
- Llamas were an opportunity for lots of people down the ages.
- …and still are, for some.
- Portugal eschews llamas for an ancient cattle breed.
- I bet Mexico’s genebank offers some amazing opportunities.
- And New Zealand’s too.
- Let’s not forget bats. Yes, bats.
- Jeremy’s latest newsletter tackles turmeric, pepper and sweet potatoes, among other things.
- And the best way to frame all of the above is that the World Economic Forum wants governments to ban people from growing their own food because that causes climate change.
Brainfood: CGIAR impacts, Alternative ag, Landscape simplicity, Biocultural diversity, PPP, Bioversity & food security, Landrace legislation, Coffee ABS, Useful plants
- The economic impact of CGIAR-related crop technologies on agricultural productivity in developing countries, 1961–2020. In 2020, modern varieties bred by CGIAR or developed by other institutions using CGIAR germplasm were sown on about 190 M ha, about 26% of the total harvested area of these crops in developing countries, and 43% of the total area sown with modern varieties for these crops in developing countries. Yes, cool, but…
- Farming practices to enhance biodiversity across biomes: a systematic review. Less intensive practices generally enhance biodiversity.
- Effects of landscape simplicity on crop yield: A reanalysis of a global database. Simplifying landscapes is associated with lower rates of pollination, pest control and other ecosystem services, and lower crop yields.
- Biocultural diversity and crop improvement. Crop improvement can enhance crop diversity, but doesn’t always.
- Collaboration between Private and Public Genebanks in Conserving and Using Plant Genetic Resources. Vegetable breeding companies can contribute to the conservation of crop diversity by public genebanks, but it takes work on both sides.
- Eight arguments why biodiversity is important to safeguard food security. It’s not “stop hunger first, then worry about diversity afterward”. Or it shouldn’t be.
- Landrace legislation in the world: status and perspectives with emphasis in EU system. Policy can support the conservation and use of landraces. Or not. It’s a choice.
- Convention on Biological Diversity (CBD) and the Nagoya Protocol: Implications and Compliance Strategies for the Global Coffee Community. Maybe they should consider the Plant Treaty approach?
- The global distribution of plants used by humans. 35,687 of them, and their richness is negatively correlated with protected areas.
Brainfood: Silvopastoral systems, Livestock sustainability, Brachiaria in Brazil, European haymaking, German Black Pied cattle, Mallards, Pollinators, Metabarcoding
- Global meta-analysis reveals overall benefits of silvopastoral systems for biodiversity. They’re not bad on their own, but the best thing for biodiversity would be to integrate silvopastoral systems with protected areas.
- Priority areas for investment in more sustainable and climate-resilient livestock systems. India, Brazil, China, Pakistan and Sudan, apparently.
- Farming cattle in the tropics: Transnational science and industrializing pastures in Brazil. But would investment in Brachiaria-based silvopastoral systems in Brazil be a good thing? I guess it depends.
- Country Perspectives on Hay-Making Landscapes as Part of the European Agricultural Heritage. No Brachiaria in sight.
- Genomic diversity and relationship analyses of endangered German Black Pied cattle (DSN) to 68 other taurine breeds based on whole-genome sequencing. It has a small population, but this ancestor of the Holstein is still pretty diverse. No word on whether it likes Brachiaria.
- The meaning of wild: Genetic and adaptive consequences from large-scale releases of domestic mallards. “Wild is not singular.” Let that sink in while you contemplate your mallard-based silvopastoral system.
- Key tropical crops at risk from pollinator loss due to climate change and land use. I’m sure the right silvopastoral systems would be great for pollinators.
- eDNA metabarcoding of avocado flowers: ‘Hass’ it got potential to survey arthropods in food production systems? Yes it does. So now we can monitor the performance of those silvopastoral systems pretty easily.
Brainfood: Private finance, Public finance, Land sparing, Land sharing, Trade-offs, Ecological intensification, Metaverse, Crop failure
- Finance for food systems transformation. “Financial institutions with significant portfolio exposure to the agrifood sector” need to step up.
- Heavy reliance on private finance alone will not deliver conservation goals. We can’t trust financial institutions with significant portfolio exposure to the agrifood sector.
- Current conservation policies risk accelerating biodiversity loss. Spare the land for biodiversity, don’t share it. Financial institutions with significant portfolio exposure to the agrifood sector would probably agree. But that’s ok.
- Scientific evidence showing the impacts of nature restoration actions on food productivity. Land sharing isn’t all that bad actually.
- Biodiversity and pollination benefits trade off against profit in an intensive farming system. Land sharing needs financial incentives. Here we go again.
- Ecological intensification of agriculture through biodiversity management: introduction. Yeah but that’s only one example. Check out these 5 reviews and then let’s talk about financial incentives.
- The Meta-universe Platform Roblox for the Conservation of the Globally Important Agricultural Heritage Systems (GIAHS): The Case of the Floating Garden Agricultural Practices. Can they charge for it though?
- Risks of synchronized low yields are underestimated in climate and crop model projections. Meanwhile, the world burns…
Brainfood: Croplands, Satellite phenotyping, Farm size, Bt double, Scaling up, Opinion leaders, Gendered knowledge, OFSP, Ethiopia sorghum diversity, Banana bunchy top, Climate change & pathogens, Bean pathogens, Mixtures, Rewards
- CROPGRIDS: A global geo-referenced dataset of 173 crops circa 2020. It’s great to finally know where crops are grown. Thanks, satellites!
- Satellite imagery for high-throughput phenotyping in breeding plots. Ok, so now we could theoretically also say where landraces are grown around the world? Thanks, satellites!
- Likely decline in the number of farms globally by the middle of the century. Wait, you have to model this, you can’t figure it out from space? Thanks, satellites.
- Just agricultural science: The green revolution, biotechnologies, and marginalized farmers in Africa. Looks like you can’t predict the success of pest resistant Bt cowpea in Burkina Faso from space.
- Dried up Bt cotton narratives: climate, debt and distressed livelihoods in semi-arid smallholder India. Likewise Bt cotton in India. In both cases, fancy technology is not enough.
- Scaling Up Pro-Poor Agrobiodiversity Interventions as a Development Option. Turns out it’s not just a matter of transferring technology, satellite or otherwise. If only they had had this analytical framework when they thought of Bt crops.
- Male and stale? Questioning the role of “opinion leaders” in agricultural programs. Yes indeed, upscaling needs changes in behaviours and attitudes, and for that you need those social networks, but “key farmers” are overrated as drivers of change.
- Gendered Knowledge, Conservation Priorities and Actions: A Case Study of On-Farm Conservation of Small Millets Among Malayalar of Kolli Hills, South India. And here’s another example, if more were needed.
- Assessment of seed system interventions for biofortified orange-fleshed sweet potato (OFSP) in Malawi. Not clear if this is another example, but I suspect it is. Can you tell OFSP from space?
- Inventory of on-farm sorghum landrace diversity and climate adaptation in Tigray, Northern Ethiopia: implications for sorghum breeding and conservation. No opinion leaders nor satellites were used in this work.
- Banana bunchy top disease in Africa: Predicting continent-wide disease risks by combining survey data and expert knowledge. Both opinion leaders and satellites were used in this work. Well, not really but I couldn’t resist it.
- Climate change impacts on plant pathogens, food security and paths forward. Doesn’t cover banana bunchy top but I’m sure the main conclusion that better modelling and monitoring are needed applies. Using satellites, no doubt.
- Understanding farmer knowledge and site factors in relation to soil-borne pests and pathogens to support agroecological intensification of smallholder bean production systems. Sure, better modelling and monitoring are great, but in the end you have to bring it down to earth.
- Crop Diversity Experiment: towards a mechanistic understanding of the benefits of species diversity in annual crop systems. Diversification of arable crop systems through mixtures need not be bad for yields. I wonder if you can see crop mixtures from space.
- Bending the curve of biodiversity loss requires rewarding farmers economically for conservation management. This does not cover crop biodiversity, but I guess the above does, to a degree. If there were money on the table, you probably wouldn’t need social networks, let alone opinion leaders.