- IFAD says we need diverse crops.
- KAUST says we need coloured rice.
- I hope it will go into Saudi Arabia’s new genebank.
- Genebank scientists says we need more collaboration.
- Goa thinks they need a new mango genebank.
- The USA already has an apple genebank.
- But will all these genebanks lead to a new Green Revolution…
- …or organic farming?
- Maybe both.
Brainfood: Food insecurity drivers, Agroecology & fertilizers, Overselling GMOs, Genomic prediction, Striga breeding, Farmers’ preferences, Farmers’ WtP, Diversity metrics
- Drivers and stressors of resilience to food insecurity: evidence from 35 countries. Diversify!
- The input reduction principle of agroecology is wrong when it comes to mineral fertilizer use in sub-Saharan Africa. …but that doesn’t mean agroecology is wrong. So, diversify your mind?
- Genetic modification can improve crop yields — but stop overselling it. Diversify your research teams.
- Genomic predictions to leverage phenotypic data across genebanks. Diversify your training set.
- Harnessing plant resistance against Striga spp. parasitism in major cereal crops for enhanced crop production and food security in Sub-Saharan Africa: a review. Diversity within the weed is almost as important as diversity in host resistance, and less studied.
- Farmers’ heterogeneous preferences for traits of improved varieties: Informing demand-oriented crop breeding in Tanzania. Breeders need to take into account farmer diversity too.
- Farmer Risk Preferences and Willingness to Pay for African Rice Landrace Seed: An Experimental Choice Analysis. Farmers are willing to pay for diversity.
- Too simple, too complex, or just right? Advantages, challenges and resolutions for indicators of genetic diversity. What’s the best way to measure diversity anyway?
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: Vanilla diversity, Moth bean diversity, Lablab genome, Wheat allergens, Strampelli, Core collections, Collection structure, ITK, Sambal diversity
- Genetic diversity of the cultivated vanilla in Madagascar. Lots of genetic groups based on SNPs, but not structured in space or environmentally, except maybe by altitude.
- Genetic diversity, population structure, and genome-wide association study for the flowering trait in a diverse panel of 428 moth bean (Vigna aconitifolia) accessions using genotyping by sequencing. NW India is a centre of diversity.
- Chromosome-level genome assembly and population genomic resource to accelerate orphan crop lablab breeding. Two domestication “events,” with the 2-seeded form originating in Ethiopia.
- Reference proteomes of five wheat species as starting point for future design of cultivars with lower allergenic potential. Einkorn is really low in potential allergens.
- Nazareno Strampelli and the first Green Revolution. And all without SNPs, GWAS, genomes or proteomes.
- Developments on Core Collections of Plant Genetic Resources: Do We Know Enough? Do we ever?
- Assessing Genetic Distinctness and Redundancy of Plant Germplasm Conserved Ex Situ Based on Published Genomic SNP Data. Looks like we may know enough for some things after all.
- An (un)common remedy to Indigenous communities’ subsistence: revisiting Traditional Knowledge Commons. As we delve deeper and deeper into the genetic diversity of collections, let’s not forget the associated Indigenous Knowledge.
- Diversity of sambals, traditional Indonesian chili pastes. Case in point? Any allergens though, I wonder?
Nibbles: Alt-proteins, NPGS, Serviceberry, Fungal diseases, Old Irish farm
- The benefits of alt-proteins spelled out in a report from the Center for Strategic and International Studies. I bet they’ll need alt-genebanks.
- The US national genebank system expertly deconstructed in a page.
- Bozakmin, the best of the berries, used to contrast late stage capitalism with Indigenous gift economies. Well worth the long read.
- Comment in Nature about how we are not taking fungal diseases of crops sufficiently seriously.
- There’s a place in Ireland with a 6000 year history of farming. Well maybe that’s rounded up a bit.