- Searching for plants in botanic gardens.
- Searching for the best apple.
- Searching for pumpkins and squashes.
- Searching the Pomological Watercolor Collection.
- Searching for livestock.
- Searching for varietal turnover. And other kinds of impact.
Brainfood: Maize, Chickpea, CWR, Canola, Coconut, Avocado, Eggplant, Carrot, Watermelon, Citrus, Potato, Pearl millet, Roses
- A New Methodological Approach to Detect Microcenters and Regions of Maize Genetic Diversity in Different Areas of Lowland South America. Multiple disciplines identify 4 microcenters of maize diversity in the lowlands of South America.
- Historical Routes for Diversification of Domesticated Chickpea Inferred from Landrace Genomics. Genomics identifies both Indian and Middle Eastern traces in Ethiopian chickpeas.
- Crop wild relatives in Lebanon: mapping the distribution of Poaceae and Fabaceae priority taxa for conservation planning. Spatial analysis identifies a couple of key ex situ and in situ conservation areas for CWR in Lebanon.
- Analysis of gaps in rapeseed (Brassica napus L.) collections in European genebanks. Spatial analysis identifies a few key ex situ and in situ conservation areas for rapeseed wild relatives in Europe.
- Genomic and population characterization of a diversity panel of dwarf and tall coconut accessions from the International Coconut Genebank for Latin America and Caribbean. Characterization of various sorts identifies different Atlantic and Pacific coconut genepools in the Western Hemisphere.
- Pleistocene-dated genomic divergence of avocado trees supports cryptic diversity in the Colombian germplasm. Genomics identifies a uniquely Colombian avocado genepool.
- Analysis of >3400 worldwide eggplant accessions reveals two independent domestication events and multiple migration-diversification routes. Genomics identifies separate Southeast Asia and Indian areas of domestication, and limited exchange between them.
- Population genomics identifies genetic signatures of carrot domestication and improvement and uncovers the origin of high-carotenoid orange carrots. Genomics identifies wester-central Asia as the area of carrot domestication in the Early Middle Ages, and western Europe as the place where the orange variant was selected in the Renaissance.
- A Citrullus genus super-pangenome reveals extensive variations in wild and cultivated watermelons and sheds light on watermelon evolution and domestication. Pangenomics identifies a gene in wild Kordofan melons as promoting the accumulation of sugar in watermelon.
- Pangenome analysis provides insight into the evolution of the orange subfamily and a key gene for citric acid accumulation in citrus fruits. Pangenomics identifies south central China as the primary centre of origin of the genus Citrus.
- Pangenome analyses reveal impact of transposable elements and ploidy on the evolution of potato species. Pangenomics identifies wild species from North and Central America as having lots of genes for abiotic stress response, but also fewer transposable elements.
- Pangenomic analysis identifies structural variation associated with heat tolerance in pearl millet. Pangenomics identifies the key genes and structural variations associated with pearl millet accessions from the most hot and dry places.
- Dark side of the honeymoon: reconstructing the Asian x European rose breeding history through the lens of genomics. Genomics and other data identifies a shift from a European to a mainly Asian genetic background in cultivated roses during the 19th century, leading to a narrowing of genetic diversity.
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.
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.