- Why we need crop wild relatives.
- No, really, we need crop wild relatives.
- The banana is in trouble.
- Which is why we need to conserve banana wild relatives and landraces.
- Lots of wild relatives are conserved in the IRRI genebank mentioned in this Guardian article on breeding low glycemic index and high protein rice. Some of them may even have been used in this work. May look that up one day.
- I doubt that IITA used wild relatives in breeding these high quality cassava varieties, but there’s always a first time, and there may even be some in its genebank. I should probably look but I don’t have time for this rabbit hole today.
- And livestock get conserved in genebanks too, though not as much as crops. I’m really not sure how many livestock wild relatives are in the world’s genebanks, but my guess is not many.
- Farmers conserve crop (and livestock) diversity too, of course. And sometimes even their wild relatives.
- It’s amazing what can be done from space to figure out what farmers are growing. This is an example of sunflower in Ukraine, but one day we’ll even be able to locate crop wild relatives, I’m sure.
- To finish off, a reminder that we need conserved seed of wild species for more than just breeding: restoration too.
Nibbles: SPAM2020, Pullman genebank, Svalbard, Olive plague, Rice diversity, Vanilla threat, Gum rockrose, VACS demand, AI double, Food & climate change
- The latest version of the SPAM global crop area distribution model is out. You can play with it here.
- Some bullet points on the USDA’s National Plant Germplasm System outpost in Pullman.
- Yes, the above references Svalbard, as does this piece on Spanish tomatoes.
- Pity we can’t put olives in Svalbard, but there’s a another way to protect olive diversity.
- A breakdown of rice colour diversity. A lot of this stuff will be in Svalbard, with any luck.
- Vanilla will also need attention.
- But gum rockrose seems to be taken care of, at least in Bulgaria. It’s what you make Holy Chrism with.
- So there’s bound to be demand for it, at least in some quarters. Unlike for other opportunity/orphan/neglected crops, but GAIN is on it.
- And if all else fails there’s always AI, be it to fight pests and diseases or find cool plants out in the jungle.
- Why does all this matter? Because of the climate F-word.
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.
Forgotten crops in the limelight
The paper “Forgotten food crops in sub-Saharan Africa for healthy diets in a changing climate” by Maarten van Zonneveld, Roeland Kindt, Stepha McMullin, Enoch G. Achigan-Dako, Sognigbé N’Danikou, Wei-hsun Hsieh, Yann-rong Lin, and Ian K. Dawson has won the PNAS 2023 Cozzarelli Prize for the best paper of the year in Applied Biological, Agricultural, and Environmental Sciences. Here’s the abstract:
As the climate changes, major staple crop production in sub-Saharan Africa becomes increasingly vulnerable. Underutilized traditional food plants offer opportunities for diversifying cropping systems. In this study, the authors used climate niche modeling to assess the potential of 138 traditional food plants to diversify or replace staple crop production in sub-Saharan Africa by 2070. The authors report that staple crops may no longer be able to grow at approximately 10% of locations by 2070. Further, the authors identified 58 traditional crops that provide complementary micronutrient contents suitable for integration into staple cropping systems under current and projected climatic conditions. The results suggest that diversifying sub-Saharan African food production with underutilized crops could improve climate resilience and dietary health.
And here’s a video explaining the results:
Brainfood: Software edition
- NBPGR-PDS: A Precision Tool for Plant Germplasm Collecting. Fancy software can manage germplasm collecting info in the field.
- The role of genotypic and climatic variation at the range edge: A case study in winegrapes. Fancy software and analysis can predict how different grape varietals could expand in distribution under climate change.
- ClimMob: Software to support experimental citizen science in agriculture. Fancy software can help plan, manage and analyze large-scale, farmer-led germplasm evaluation trails.
- Herbarium specimen label transcription reimagined with large language models: Capabilities, productivity, and risks. Fancy software can transcribe herbarium labels.
- OliVaR: Improving olive variety recognition using deep neural networks. Fancy software can recognize olives.
- Reconstructing historic and modern potato late blight outbreaks using text analytics. Fancy software can track a pest epidemic.
- Evaluating responses by ChatGPT to farmers’ questions on irrigated lowland rice cultivation in Nigeria. Fancy software can be better than extension workers.
- Simulating pollen flow and field sampling constraints helps revise seed sampling recommendations for conserving genetic diversity. Fancy software and analysis can suggest changes to seed sampling strategies to take into account limited pollen flow.