- 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?
Brainfood: Aspen mapping, Biodiversity & ag, Mining forages, China forages, China groundnuts, Soil microbes, Agroecology messaging, Old wood, Ugandan sorghum, New wild sweetpotato, Tasty fruits
- Remote sensing of cytotype and its consequences for canopy damage in quaking aspen. You can tell diploid from triploid trees from space.
- Future global conflict risk hotspots between biodiversity conservation and food security: 10 countries and 7 Biodiversity Hotspots. Fancy maths tells us biodiversity and agriculture are most in conflict in DRC, Sierra Leone, Malawi, Togo, Zambia, Angola, Guinea, Nigeria, Laos, and Cambodia.
- Allele mining in diverse accessions of tropical grasses to improve forage quality and reduce environmental impact. A draft reference genome from a single species tells us about 7 potentially useful alleles among 104 clearly very well chosen accessions of Urochloa spp and Megathyrsus maximus.
- Research Status of Forage Seed Industry in China. I wonder how many of the above alleles can be found in the Chinese forage collection. Might be easier to eventually find out if the website supposedly serving up the national forage germplasm resource management system actually worked.
- Safe conservation and utilization of peanut germplasm resources in the Oil Crops Middle-term Genebank of China. We are even told about some individual interesting accessions, though not how to get hold of them.
- The impact of crop diversification, tillage and fertilization type on soil total microbial, fungal and bacterial abundance: A worldwide meta-analysis of agricultural sites. Meta-analysis tells us that use of organic fertilisers and reduced tillage are associated with more microbes, fungi and bacteria in the soil.
- Detecting the linkage between arable land use and poverty using machine learning methods at global perspective. Machines tells us that higher crop yields and more fertilisers are associated with lower poverty levels. Non-machines are shocked. No word on soil microbial abundance.
- The 10 Elements of Agroecology: enabling transitions towards sustainable agriculture and food systems through visual narratives. Well, these 10 are not only the elements of agroecology, so they could tell us about other messaging too.
- Regional Patterns of Late Medieval and Early Modern European Building Activity Revealed by Felling Dates. Tree rings in old buildings tells us more felling where and when grain prices were low and mining activity high. No machines involed.
- Genetic diversity analysis and characterization of Ugandan sorghum. A tropical genebank collection can tell us about temperate-adapted germplasm, if we know how to ask.
- Discovery and characterization of sweetpotato’s closest tetraploid relative. Meet Ipomoea aequatoriensis T. Wells & P. Muñoz sp. nov. from, well, Ecuador.
- Metabolomic selection for enhanced fruit flavor. Another machine tells us how to pick tasty tomatoes and blueberries from chemical profiles. No word on when it will be able to describe new species.
Nibbles: Agroforestry app, Virtual grazing areas, Tunisian herbalists, India agrobiodiversity
- An app to help farmers choose agroforestry species in India.
- An app to keep cows on the straight and narrow in Epping Forest.
- The herbalists of Tunis could maybe do with an app.
- There’s no app to stop agrobiodiversity loss. Even in India.
Nibbles: Food flows, Olive collection, Sweet potato breeding, Global Bean Project, Open Source Plant Breeding, Saladino book
- You can explore food flows among US counties. If you have lots of time.
- Studying a huge olive collection. To fight climate change.
- Improving sweet potatoes in Cambodia. Somehow.
- There’s a meeting of the Global Bean Project. Tomorrow.
- Speaking of sweet potatoes and crowd-sourced breeding (well, sort of). The Open Source Plant Breeding Forum.
- Apparently there’s nobody talking about the food extinction crisis. Nobody.
Brainfood: Japan support, American food choice, Wild potato x4, Phenotype change, Minor Vigna, Tilapia diversity, Ethiopian chicken diversity, Goat diversity, Tree seeds, Blockchain
- Three Decades of Safeguarding and Promoting Use of Agricultural Biodiversity: Changing Global Perspectives, Paradigm Shifts and Implications. The priorities of Bioversity and the Japanese government have changed over time, but miraculously stayed reasonably well aligned.
- A focused ethnographic study on the role of health and sustainability in food choice decisions. Americans pick food items mainly on the basis of price, health, taste, and convenience. Environmental impact, not so much, alas.
- Wild relatives of potato may bolster its adaptation to new niches under future climate scenarios. Some wild potato species have unique climate adaptations that we’re going to need.
- Cold Hardiness Variation in Solanum jamesii and Solanum kurtzianum Tubers. Case in point.
- Assessment of Wild Solanum Species for Resistance to Phytophthora infestans (Mont.) de Bary in the Toluca Valley, Mexico. And not just climate adaptation.
- Screening South American potato landraces and potato wild relatives for novel sources of late blight resistance. Case in point.
- The pace of modern life, revisited. A big database on how the phenotypes of wild species like the above are changing, and why.
- Insights into the genetic diversity of an underutilized Indian legume, Vigna stipulacea (Lam.) Kuntz., using morphological traits and microsatellite markers. 94 accessions, 12 with promise for different traits, in 7 genetic groups. Let the really efficient breeding commence.
- Whole genome resequencing data enables a targeted SNP panel for conservation and aquaculture of Oreochromis cichlid fishes. The breeding has already commenced between different tilapias, but don’t worry, we can now tell species apart.
- A framework for defining livestock ecotypes based on ecological modelling and exploring genomic environmental adaptation: the example of Ethiopian village chicken. 25 populations, but only 12 ecotypes, based on 6 climate variables. Basically the same methodology as the wild potato paper above but applied to genetic groupings. Who will apply it to tilapias now, or indeed that “minor” Vigna?
- VarGoats project: a dataset of 1159 whole-genome sequences to dissect Capra hircus global diversity. Distinct African, Asian and European genetic groups. Well I never.
- Are Tree Seed Systems for Forest Landscape Restoration Fit for Purpose? An Analysis of Four Asian Countries. Take a wild guess. The key is apparently focusing less on planting lots of trees and more on making sure the resulting forests are resilient.
- Smart, Commodified and Encoded: Blockchain Technology for Environmental Sustainability and Nature Conservation. Not quite ready to help grow those resilient forests.