- 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.
Brainfood: Domestication treble, Introgression treble, Biodiversity mapping double, Oak conservation, Niche modelling double
- Plant domestication: setting biological clocks. Domestication changed plants’ timekeeping and made them less resilient, but there is variation among the biological clocks of different organs that could tapped in breeding.
- Plant domestication and agricultural ecologies. There have been 7 main paths to plant domestication, or commonalities in the ways that plants were domesticated by people in different parts of the world in the past: ecosystem engineering, ruderal, tuber, grain, segetal, fibre, fruit tree.
- Plants cultivated for ecosystem restoration can evolve toward a domestication syndrome. Ok, maybe 8.
- Diamonds in the Not-So-Rough: Wild Relative Diversity Hidden in Crop Genomes. The cool alleles you spotted in wild relatives may already be in cultivated genomes, and that can save breeders some time and effort.
- Finding needles in a haystack: identification of inter-specific introgressions in wheat genebank collections using low-coverage sequencing data. Ah, here they are.
- Interspecific common bean population derived from Phaseolus acutifolius using a bridging genotype demonstrate useful adaptation to heat tolerance. I guess this is an example of the time that could be saved.
- Mapping potential conflicts between global agriculture and terrestrial conservation. A third of agricultural production occurs in sites of high biodiversity conservation priority, with cattle, maize, rice, and soybean posing the greatest threat and sugar beet, pearl millet, and sunflower the lowest. No word on how many crop wild relatives are threatened, but there’s a cool online mapping tool that could I suppose be used to mash things up.
- Assessing habitat diversity and potential areas of similarity across protected areas globally. At a pinch, this could be used to identify backups for any threatened sites of high biodiversity conservation priority.
- Ex situ conservation of two rare oak species using microsatellite and SNP markers. Watch out for the creeping domestication syndrome though, if these ever get used for restoration :)
- TreeGOER: a database with globally observed environmental ranges for 48,129 tree species. Even more than all the CWRs we did. But no, I don’t know if those oaks are included…
- Ecological Niche Models using MaxEnt in Google Earth Engine: Evaluation, guidelines and recommendations. …but if not you can always work their ranges out for yourself.
Nibbles: Ancient grains, Small millets, Wheat, Kelp genebank, Mongolian breeds, Pumpkin seeds, Bioversity & CIAT, Tree history, Cool maps, Business & biodiversity
- Make Me Care About…ancient grains.
- Not enough? Here’s more.
- Wait, does wheat count?
- Make Me Care About…kelp.
- Make Me Care About…rare livestock breeds. In Mongolia. Jeremy unavailable for comment.
- Make Me Care About…pumpkins.
- Make Me Care About…Bioversity International…and its Alliance with CIAT.
- Make Me Care About…old writing about trees.
- Make Me Care About…the World.
- Make the Private Sector Care About…biodiversity, nature and landscape restoration.
The latest on the spread of agriculture in Eurasia
Remember the map of the spread of agriculture in Europe that I mashed up with barley genebank accessions a while back? Well, there’s a new version out, according to a tweet from Detlef Gronenborn.
It will eventually make its way here with the previous versions.
Nibbles: Iron beans, Tree projects, Lablab genome, Tree collection management, Italian cooking, Replacing ugali, Gene-edited teff, Communicating plant breeding, Plant diseases, Sustainable intensification, Transforming African ag, Ag research investment, Saving seeds, Ukraine genebank
- Jeremy continues to dig deep into biofortification, and is not happy with what he finds out about iron-rich beans.
- Maybe he’ll donate to one of CIFOR-ICRAF’s nutrition-flavoured tree projects instead.
- Don’t worry, maybe lablab can be biofortified now that we have its genome.
- Speaking of trees, if you want to plant one in a particular botanic garden or arboretum, is it likely to thrive, now and in the future? Find out using the BGCI Climate Assessment Tool.
- Speaking of botanic gardens and arboreta, here are some resources on how they manage their tree collections.
- Prof. Alberto Grandi debunks the many myths of Italian cuisine.
- Christine Gatwiri doesn’t think maize can be replaced in Kenyan cuisine. I just hope it can be replaced in Italian cuisine.
- Will gene-edited teff finds its way into Ethiopian cuisine? And would it be a bad thing if it did? It depends on being open about it I guess…
- … so let’s remind ourselves of some ways plant breeding can usefully engage with the public, shall we?
- And let’s also remind ourselves that plant breeding is necessary, for example to protect our food supply against diseases. The Guardian has receipts.
- Prof. Glenn Denning doubles down on the whole better-maize-seeds-plus-fertilizer thing in Africa, but adds some greenery. In more senses than one. So yes, trees are allowed. And maybe even lablab and teff for all I know. Incidentally, the above gene-edited teff is shorter than “normal”, which could mean it might respond to more fertilizer in the same way as those Green Revolution wheats and rices once did.
- Ah yes, the “transformation” and “revolution” tropes are definitely all over the discourse on African agriculture these days. According to this article, what transformation and revolution will require are consistent planning, political backing, a fit-for-purpose lead organization and that perennial favourite, result-oriented implementation. No word here on greenery specifically, but at least it’s not ruled out.
- And to back all that up, CGIAR gets The Economist Impact to say that more funding is needed for agricultural research and innovation. Results-oriented, naturally.
- Meanwhile, in Suriname, Bangladesh and Guinea-Bissau, local people are saving their traditional seeds and agricultural practices. The revolution will eat its own (seeds).
- Phew, the Ukrainian seed collection is squared away. Now for Suriname, Bangladesh, Guinea-Bissau…