- 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.
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.
Brainfood: Pollinator evolution, Pollinator diversity, Livestock, Yak milk consumption, Poultry in situ conservation, Soil stress, Self-domestication, Natural history collections
- The expansion of agriculture has shaped the recent evolutionary history of a specialized squash pollinator. The genetic diversity of an insect crop pollinator has been affected by the fact that it pollinates a crop.
- Native pollinators improve the quality and market value of common bean. The diversity of native insect crop pollinators affects the value of the crop they pollinate.
- A global approach for natural history museum collections. Basically amounts to “ask curators what they have.” Including presumably specimens of insect pollinators. We’ve been doing this for PGRFA for quite a while now, one way or another. Back to mainly plants next week, hopefully, but let’s keep going with animals for now, and let’s see what more we can learn.
- A 12% switch from monogastric to ruminant livestock production can reduce emissions and boost crop production for 525 million people. Ruminants are not all bad after all.
- Permafrost preservation reveals proteomic evidence for yak milk consumption in the 13th century. The Mongols thought this particular ruminant was just great.
- The self-management organization as a way for the in situ conservation of native poultry genetic resources. In response to the promotion of exotic commercial poultry breeds, women’s groups in Mexico have got together and developed rules to protect native hens. Please let not these be among the 12% of monogastrics that get replaced by yaks.
- Increasing the number of stressors reduces soil ecosystem services worldwide. It’s the number of different stressors, more than their aggregate strength, that most affects how badly soils are stressed. Goes for me too, to be honest.
- Elephants as an animal model for self-domestication. I’ll believe it when elephants domesticate yaks.
Nibbles: Robert Chambers, Zero Hunger, China genebank, Spanish bacteria, Harnessing diversity
- There’s a celebration of the thinking of Robert Chambers over at IDS Bulletin. He’s been advocating for participation in development and the importance of Indigenous knowledge, among other things, for 50 years.
- The Center on Global Food and Agriculture has a report out called “Defining the Path to Zero Hunger in an Equitable World” which basically tries to add humanitarian assistance to the old food-climate-biodiversity nexus. Crop diversity is nowhere to be found among the “catalyzing ideas,” but one of those is investing in “force multipliers,” and that includes agricultural research and development. Participatory agricultural research and development, presumably?
- Meanwhile, China has collected 124,000 crop diversity samples.
- And a Spanish microbiologist has collected 3,600 bacteria.
- The PNAS Special feature: Harnessing crop diversity, organized by Susan McCouch, Loren Rieseberg and Pamela Ronald, got a nice write-up in the latest Plant Science Research Weekly. But what would Robert Chambers say? Anyway, should I do a special Brainfood on it? Let me know in the comments, as the cool kids say.
Brainfood: Genomics for conservation and use edition
- How genomics can help biodiversity conservation. Let’s find out, but let’s broaden it to use as well, shall we? On the assumption that what’s good for conservation is good for use, and vice versa.
- Genetic and genomic interventions in crop biofortification: Examples in millets. Genomics can help you get more nutritious millets, and also use millets to improve the nutritive content of other cereals too.
- Genomics and biochemical analyses reveal a metabolon key to β-L-ODAP biosynthesis in Lathyrus sativus. Genomics can help you figure out ways to decrease the toxicity of grasspea.
- Extensive crop–wild hybridization during Brassica evolution and selection during the domestication and diversification of Brassica crops. Genomics can help you figure out the evolutionary history of crops…
- Molecular characterization of Brassica genebank germplasm confirms taxonomic identity and reveals low levels and source of taxonomic errors. …assuming you have you accessions labelled correctly that is.
- Dual domestications and origin of traits in grapevine evolution. Genomics can help you figure out the evolutionary history of crops. No, wait, we already had that one…
- Balancing grain yield trade-offs in ‘Miracle-Wheat’. Genomics can help you figure out the best phenotype in wheat.
- Focusing the GWAS Lens on days to flower using latent variable phenotypes derived from global multienvironment trials. Genomics can help you figure out the best phenotype in lentils too.
- Awned versus awnless wheat spikes: does it matter? Although actually you don’t necessarily need genomics to help you figure out the best phenotype in wheat. But let’s get back on track.
- SNP Diversity and Genetic Structure of “Rogosija”, an Old Western Balkan Durum Wheat Collection. That’s better. Genomics can help you figure out that a wheat collection can consist of distinct ecogeographic groupings.
- Repeatability of adaptation in sunflowers: genomic regions harbouring inversions also drive adaptation in species lacking an inversion. Genomics can help you figure out what’s behind local adaptation in crop wild relatives.
- Re-evaluating Homoploid Reticulate Evolution in Helianthus Sunflowers. Genomics can help you figure out the evolutionary history of crop wild relatives. Where have I heard that before?
- A thousand-genome panel retraces the global spread and adaptation of a major fungal crop pathogen. Genomics can help you figure out the evolutionary history of plant pathogens too. Here’s a Twitter thread from one of the authors with lots of maps to prove it.
- Honey bee populations of the USA display restrictions in their mtDNA haplotype diversity. Yeah, you guessed it, pollinators too.
- Mezcal worm in a bottle: DNA evidence suggests a single moth species. I rest my case.