- On the importance of diversity in ecological research. Diversity of the research teams, that is. This should apply to everything that follows.
- Adapting wild biodiversity conservation approaches to conserve agrobiodiversity. The main gap seem to be in the area of “payment for system services.” Agrobiodiversity could learn from biodiversity there.
- The Role of Crop, Livestock, and Farmed Aquatic Intraspecific Diversity in Maintaining Ecosystem Services. And there’s a lot to pay for, apparently.
- No basis for claim that 80% of biodiversity is found in Indigenous territories. There are better numbers for the undoubted (but alas still unrewarded) importance of Indigenous people for biodiversity conservation.
- Plant diversity decreases greenhouse gas emissions by increasing soil and plant carbon storage in terrestrial ecosystems. Huge meta-analysis says plant mixtures are better than monocultures for C storage. Maybe someone should pay for that?
- Food-sourcing from on-farm trees mediates positive relationships between tree cover and dietary quality in Malawi. And some of those trees will be wild.
- Delivering Systematic and Repeatable Area-Based Conservation Assessments: From Global to Local Scales. Actually, the Digital Observatory for Protected Areas (DOPA) could also usefully be applied to agricultural biodiversity.
- Applying deep learning on social media to investigate cultural ecosystem services in protected areas worldwide. Well, of course, it was only a matter of time. And the above comment also applies.
- Does long-term harvesting impact genetic diversity and population genetic structure? A study of Indian gooseberry (Phyllanthus emblica) in the Central Western Ghats region in India. AI will only get you so far. But it would be interesting to see if AI could have predicted these results. More training dataset needed, I suspect.
- Agrobiodiversity conservation enables sustainable and equitable land sparing. Intensifying agriculture can be good for land sparing, but its sustainability depends on land sharing. Nice way to escape the dichotomy.
- Towards an agroecological approach to crop health: reducing pest incidence through synergies between plant diversity and soil microbial ecology. I guess this is an example of the above.
- Are agricultural commodity production systems at risk from local biodiversity loss? Have you not been listening?
Nibbles: Svalbard Global Seed Vault, CePaCT genebank, CIAT genebank, Australia rice genebank, Bangladesh genebank, Maize mutants garden, Inoculants genebank, Millets community seedbank, Payments for Agrobiodiversity Conservation Services, Triadic Comparison of Technology Options, Crop diversity, Intercropping, Agroforestry, Diet diversity, World economy, Sustainable food
- Never thought I’d see the Svalbard Global Seed Vault in Psychology Today, yet here we are.
- The Pacific’s regional genebank is set for more work on lesser-known crops. Too bad most of them won’t be able to go to Svalbard.
- How to make a genebank beautiful as well as sustainable.
- Australia has a rice genebank. For some reason.
- Bangladesh gets a new genebank. Could have sworn it already had one.
- Mutants need a genebank too.
- And inoculants.
- Community-level genebanks have their place too. Though probably not for mutants.
- As long as the farmers get a benefit, of course.
- Tricot is a good way of evaluating all that stuff in genebanks.
- But you should also genotype it.
- Why bother with all this? Andreas Volz has a nice explanation.
- Genetic diversity is all very good, but don’t forget to intercrop.
- Which includes agroforestry.
- For a more varied diet.
- And a better world economy.
- And a more sustainable food system.
Brainfood: Ag research ROI, CGIAR & climate change, Crop species diversity, Training plant breeders, AI & plant breeding, Wheat breeding review, Wheat landraces, CIMMYT wheat breeding, Wheat D genome, Forages pre-breeding, Impact of new varieties, Two long-term barley experiment, High protein peas, Watermelon super-pangenome, Resynthesizing mustard, Consumer preference and breeding
- Benefit–Cost Analysis of Increased Funding for Agricultural Research and Development in the Global South. Fancy model says funding agricultural research is great value for money. Ok, let’s see if we can find some examples.
- Exploring CGIAR’s efforts towards achieving the Paris Agreement’s climate-change targets. Yeah, but in designing such research to mitigate climate change there should be more complete integration of food-systems perspectives.
- Crop species diversity: A key strategy for sustainable food system transformation and climate resilience. Now there’s a nice thing to integrate into your climate change adaptation and integration research.
- Cultivating success: Bridging the gaps in plant breeding training in Australia, Canada, and New Zealand. Gonna need more plant breeders also, though.
- Artificial intelligence in plant breeding. Yeah, and probably more artificial intelligence too.
- Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunities. Great advances have been made (even without AI) by wheat breeders, but there’s still a lot of untapped diversity out there.
- Harnessing landrace diversity empowers wheat breeding. For example in the A. E. Watkins landrace collection.
- Enhanced radiation use efficiency and grain filling rate as the main drivers of grain yield genetic gains in the CIMMYT elite spring wheat yield trial. Gotta wonder if there’s a limit though.
- Origin and evolution of the bread wheat D genome. Maybe we can squeeze a bit more out of the D genome. I wonder what AI says about that.
- The Role of Crop Wild Relatives and Landraces of Forage Legumes in Pre-Breeding as a Response to Climate Change. As above, but for a bunch of forages.
- Stakeholder Insights: A Socio-Agronomic Study on Varietal Innovation Adoption, Preferences, and Sustainability in the Arracacha Crop (Arracacia xanthorrhiza B.). Here’s an interesting methodology to evaluate the impact of new varieties designed and developed by AI (or not).
- Deep genotyping reveals specific adaptation footprints of conventional and organic farming in barley populations — an evolutionary plant breeding approach. An initial, diverse barley population is allowed to adapt to contrasting organic and conventional conditions for 2 decades and diverges considerably genetically as a result. Don’t need AI to predict that. Perhaps more surprisingly, analysis suggests organic-adapted populations need to be selected for root traits to catch up in yield.
- Natural selection drives emergent genetic homogeneity in a century-scale experiment with barley. What is it with barley breeding and long-term experiments? This one shows that a hundred years of natural selection has massively narrowed genetic diversity. Why aren’t there long-term wheat experiments? Or are there?
- Association study of crude seed protein and fat concentration in a USDA pea diversity panel. Really high protein peas are possible. No word on whether kids will like them any better. Let’s check again in a hundred years?
- Telomere-to-telomere Citrullus super-pangenome provides direction for watermelon breeding. Forget sweetness and disease resistance, maybe one of these wild species will help us grasp the holy grail of seedlessness. Wait, let me check on the whole cost-benefit thing for this.
- An indigenous germplasm of Brassica rapa var. yellow NRCPB rapa 8 enhanced resynthesis of Brassica juncea without in vitro intervention. Sort of like that wheat D genome thing, but for mustard. I do wonder why we don’t try crop re-synthesis a lot more.
- Special issue: Tropical roots, tubers and bananas: New breeding tools and methods to meet consumer preferences. Why involving farmers in all of the above could be a good idea.
Brainfood: UK NUS, German labelling, Indian diversity, Ghana fonio, Kenya veggies, Rwanda biofortified beans, Cassava WTP, Urochloa resources, Perennial flax
- Diversifying the UK Agrifood System: A Role for Neglected and Underutilised Crops. It’s really hard to pick potential NUS winners. So why even try? Support them all!
- Can markets for nature conservation be successful? An integrated assessment of a product label for biodiversity practices in Germany. Labelling agricultural products can support biodiversity conservation, but probably not on its own. Can it support NUS, I wonder?
- On-farm crop diversity, conservation, importance and value: a case study of landraces from Western Ghats of Karnataka, India. Plenty of diversity in these study sites, including of NUS, but ex situ conservation still needed.
- Revealing Ghana’s unique fonio genetic diversity: leveraging farmers knowledge for sustainable conservation and breeding strategies. Supporting NUS is going to need the knowledge of farmers…
- African indigenous vegetables, gender, and the political economy of commercialization in Kenya. …especially women farmers. Up to a point.
- Cultivating prosperity in Rwanda: the impact of high-yield biofortified bean seeds on farmers’ yield and income. Ok, beans are not a NUS, but you get the point.
- Increased farmer willingness to pay for quality cassava (Manihot esculenta Crantz) planting materials: evidence from experimental auctions in Cambodia and Lao PDR. NUS or not, clean planting materials and new varieties attract a price premium.
- Brown-top millet: an overview of breeding, genetic, and genomic resources development for crop improvement. Urochloa ramosa is definitely a NUS. And labelling will probably not be enough.
- Survival analysis of freezing stress in the North American native perennial flax, Linum lewisii. If you want to help your NUS, make it perennial?
Brainfood: Biodiversity nexus, Nutrition interventions, European land suitability, Beyond yield, Cover crops, CWR breeding, Rice gaps, Banana info system
- Understanding the role of biodiversity in the climate, food, water, energy, transport and health nexus in Europe. Meta-analysis shows that a lot of things people do affect biodiversity negatively, yet biodiversity affects most things people want to do positively.
- Food Systems Interventions for Nutrition: Lessons from 6 Program Evaluations in Africa and South Asia. Have a strong theory of change, assess a range of outcomes, triangulate methods, including those from other fields, use adaptive and flexible evaluation designs, and document everything transparently. I wonder how many of these boxes the studies analysed above ticked.
- Geospatial evaluation of the agricultural suitability and land use compatibility in Europe’s temperate continental climate region. Europe has run out of land usable for crops, but some currently used land is being used for the wrong crops.
- Beyond yield and toward sustainability: Using applied ecology to support biodiversity conservation and food production. But does “suitability” mean “sustainability”? Probably not so much, but it should.
- Global synthesis of cover crop impacts on main crop yield. Cover crops are good for yield. But didn’t we just say we should go beyond yield?
- Editorial: Trends and perspectives for the use of crop wild relatives in crop breeding. Way beyond yield…
- Global potential distributions and conservation status of rice wild relatives. Still a lot of work to do to save rice wild relatives so they can be used to, you know, move beyond yield.
- Collecting and managing in situ banana genetic resources information (Musa spp.) using online resources and citizen science. Can probably say the same about banana wild relatives as was said above about rice, but I don’t see as much scope for citizen scientists getting into wild rice.