- Cross-validation of a semantic segmentation network for natural history collection specimens. Computers can distinguish the herbarium label from the actual specimen and other stuff on the sheet, helping with the whole automatic digitization thing, but it takes some really fancy math.
- The landscapes of livestock diversity: grazing local breeds as a proxy for domesticated species adaptation to the environment. Medium fancy math used to map breed diversity in the Iberian Peninsula for different livestock species and relate it to environmental factors.
- South-to-north migration preceded the advent of intensive farming in the Maya region. Sort of like tomato, but in the other direction. Plenty of math involved, but behind the scenes, thankfully.
- Timing and magnitude of climate-driven range shifts in transboundary fish stocks challenge their management. Huge amount of data and very fancy math shows fish are in trouble.
- A Core Set of Snap Bean Genotypes Established by Phenotyping a Large Panel Collected in Europe. Ok, even I can follow the math on this one.
- Assessment of biogeographic variation in traits of Lewis flax (Linum lewisii) for use in restoration and agriculture. Very approachable math shows which populations of a CWR can best be used for restoration, and where; and also for domestication and breeding.
- An updated checklist of plant agrobiodiversity of northern Italy. Very useful use of very basic maths. Key number: only 43% of the PGR on the list are conserved ex situ.
- Cannabis, the multibillion dollar plant that no genebank wanted. No math needed to figure out weed needs a genebank.
Brainfood: NPGS use, Descriptor clustering, Fast phenotyping, Flax duplicates, Photosynthesis variation, Brassica breeding, Robusta & CC, Seaweed domestication, Fighting fish domestication, Hotspots & diets, Cotton & wildlife
- Developing country demand for crop germplasm conserved by the U.S. National Plant Germplasm System. 5 years, 10 crops, 100,000 samples.
- cacGMS: An Algorithm Cluster Germplasm based on Categorical Genetic Traits. Build a better cluster algorithm for categorical descriptors and the world will beat a path to your genebank. If it isn’t already.
- Deep learning: as the new frontier in high-throughput plant phenotyping. A really fancy way of scoring those descriptors.
- Selection of duplicates of flax accessions – an important task in the management of collection of genetic resources of Linum usitatissimum L. But you can do a lot with passport data.
- Mining for allelic gold: finding genetic variation in photosynthetic traits in crops and wild relatives. Let the gene editing begin!
- Expanding the genetic variation of Brassica juncea by introgression of the Brassica rapa genome. AABB gets a shot of AA.
- Adaptive potential of Coffea canephora from Uganda in response to climate change. Some populations are going to do better than others under climate change. Ah, but are they the best populations for other traits?
- Pre-domestication bottlenecks of the cultivated seaweed Gracilaria chilensis. Founder effect and over-exploitation mean that more diversity from New Zealand might be needed.
- Genomic consequences of domestication of the Siamese fighting fish. You don’t need huge genetic diversity to get huge phenotypic diversity, even with strong selection. But will new diversity be needed eventually? From Siam?
- Food versus wildlife: Will biodiversity hotspots benefit from healthier diets? Some hotspots will actually do worse if people eat better, so we will have to look at better agriculture too. Including seaweed, for all I know.
- Commodity crops in biodiversity-rich production landscapes: Friends or foes? The example of cotton in the Mid Zambezi Valley, Zimbabwe. Possibly an example of the above. Cotton was better for wildlife than what came after prices dropped.
Nibbles: Future Seeds, Irish Seed Savers, ICRAF genebank, Cherry blossoms, Coffee futures, Eat This Newsletter
- More on how Future Seeds fits into the global system of genebanks. And more still.
- You can immerse yourself in the Irish Seed Savers genebank.
- Do you want chips with your tree genebank?
- There’s a sort of cherry blossom genebank in the Smithsonian Gardens.
- The Economist fails to mention genebanks in its piece on how to save coffee from climate change. Here’s an EU project that’s using coffee diversity for adaptation.
- Jeremy’s latest newsletter looks at everything from the denazification of cattle to yams. But not genebanks. Subscribe anyway!
Nibbles: Zimbabwe breeder, Indian genebank, Zambian genebank, Chinese genebank, Pakistan & Uzbekistan, Manchester planting
- Sorghum and millet breeder honoured in Zimbabwe. Always good to see.
- Germplasm evaluation efforts of Indian national genebank make it into the mainstream financial press. Also very good to see.
- Zambian national genebank does some much-needed safety duplication. More good news.
- Possibly good news, hard to say: Russian news agency on what seems to be a new wild rice genebank in China.
- Always good news to see two countries agree to collaborate on genetic resources.
- Manchester viaduct gets a greenlift. Good to see it, despite no genebanks being involved.
Brainfood: Spatial data, Extinction risk, Improved lentils, Lentil collection, Ohia germination, Shea genomics, Wild olive, Cacao climate refugia, Cacao sacred groves, Italian winter squash, Nigerian yams, Bambara groundnut diversity
- CropHarvest: A global dataset for crop-type classification. 90,000 datapoints all over the world, nicely labelled with what’s going on there agriculturally speaking. Let the AI rip.
- Using publicly available data to conduct rapid assessments of extinction risk. Pretty much useless, but at least now we know why. Should have used AI.
- Plot-level impacts of improved lentil varieties in Bangladesh. About 15% higher yields and gross margins, resulting in lots of savings on imports.
- Agro-Morphological Characterization of Lentil Germplasm of Indian National Genebank and Development of a Core Set for Efficient Utilization in Lentil Improvement Programs. And a core subset to boot. Unclear if any were used to breed the above.
- Variation in Germination Traits Inform Conservation Planning of Hawaiʻi’s Foundational ʻŌhiʻa Trees. Germination was lower from some populations than from others, but not because of environmental factors.
- Genomic Resources to Guide Improvement of the Shea Tree. Ok, great, but now what exactly? And no word on germination…
- Current Status of Biodiversity Assessment and Conservation of Wild Olive (Olea europaea L. subsp. europaea var. sylvestris). When can we expect something similar for shea tree?
- Extreme climate refugia: a case study of wild relatives of cacao (Theobroma cacao) in Colombia. The forest areas where wild cacao has survived the longest, and is particularly diverse, will be cut in half in 50 years. I wonder what the figures are for wild olive.
- Soil biomarkers of cacao tree cultivation in the sacred cacao groves of the northern Maya lowlands. Maybe re-introduce it? More here.
- How to save a landrace from extinction: the example of a winter squash landrace (Cucurbita maxima Duchesne) in Northern Italy (Lungavilla-Pavia). It’s great to have ‘Berrettina di Lungavilla’ back, but 7 years for one landrace? No sacred groves involved. Shea harvesters unavailable for comment.
- Collection, characterizaton, product quality evaluation, and conservation of genetic resources of yam (Dioscorea spp.) cultivars from Ekiti State, Nigeria. At least it’s more than one landrace.
- Genetic Diversity and Environmental Influence on Growth and Yield Parameters of Bambara Groundnut. 95 landraces, no less. All safe from extinction. Right?