- Consistent global dataset on biodiversity intactness footprint of agricultural production from 2000 to 2020. Spatial dataset shows how global consumption drives ecological degradation.
- Rapid monitoring of global land change. Spatial dataset shows how in 2023 direct human action and fires caused land use conversion globally over an area the size of California.
- Remote monitoring of plant drought stress with the apparent heat capacity. Spatial dataset can provide early warning of drought. Early warning system for genetic erosion, anyone?
- CropSuite v1.0 – a comprehensive open-source crop suitability model considering climate variability for climate impact assessment. Spatial dataset shows where 48 crops will have the best yields.
- Climate change increases the interannual variance of summer crop yields globally through changes in temperature and water supply. Spatial dataset shows that climate change impacts not just yields but variation in yield from year to year for maize, soybean and sorghum.
- Reassessing data management in increasingly complex phenotypic datasets. Datasets need to be properly managed to be widely used.
Brainfood: Breeding edition
- Unlocking the potential of wild rice to bring missing nutrition to elite grains. A solution for better nutrition.
- Characterization of Oryza glaberrima derived genetic resources for stagnant flooding tolerance in interspecific rice pre-breeding populations. A solution for too much water.
- Strengthening Global Rice Germplasm Sharing: Insights from the INGER Platform. A solution for getting the above solutions out to those who need them.
- Comprehensive nutritional and antinutritional characterization of pigeonpea (Cajanus cajan): Insights into genotypic diversity and protein quality. A solution for better protein.
- Exploring the agro-morphological performance of mini core collection of finger millet [Eleusine coracana (L.) Gaertn] germplasm under sodic condition. A solution for high sodium in soils.
- A Public Private Partnership in Plant Breeding — The Case of Irish Malting Barley. A solution for Irish malt.
- The business case for grasspea in Ethiopia: An action plan to provide Ethiopian farmers with a safe, nutritious and climate-smart protein source. A solution for ODAP. Which will still need to be sold, though.
- Harnessing historical genebank data to accelerate pea breeding. A solution for cold, and more.
- Genetic basis of phenotypic diversity in C. stenophylla: a stepping stone for climate-adapted coffee cultivar development. A solution for heat.
- A phylogenetic approach to prioritising crop wild relatives in Brassiceae (Brassicaceae) for breeding applications. A solution for finding solutions.
Brainfood: Taxonomic identification, Niche mapping, Harvest tracking, Drones, Phenomics, Yield analysis
- Review of herbarium plant identification of crop wild relatives using convolutional neural network models. Cool tech helps you figure out which species is which. Now you can map them properly I guess.
- Habitat prediction mapping for prioritizing germplasm collection areas of cowpea (Vigna unguiculata (L.) Walp) in India using BioClim model. Having mapped them, another cool tech helps you figure out where to collect them.
- Harvest Date Monitoring in Cereal Fields at Large Scale Using Dense Stacks of Sentinel-2 Imagery Validated by Real Time Kinematic Positioning Data. And when.
- Drone methods and educational resources for plant science and agriculture. In the field, cool tech could help you find and collect them. And not just that…
- Foliar disease resistance phenomics of fungal pathogens: image-based approaches for mapping quantitative resistance in cereal germplasm. Having collected them, more cool tech helps you evaluate them.
- Machine learning reveals drivers of yield sustainability in five decades of continuous rice cropping. Finally, having evaluated them over many years, cool tech helps you figure out what’s going on.
Brainfood: Genebank metrics, Genebank reviews, Botanic gardens ABS, Genebank practical guides, Germplasm User Groups
- A Proposal for Genebank Metrics to Enhance Collection Management. A framework of 10 mandatory and 38 optional metrics for orthodox-seed genebank collections (covering size, documentation, conservation, availability, distribution etc.) to improve performance, transparency and collaboration in genebank management.
- Genebank Peer Reviews: A powerful tool to improve genebank quality and promote collaboration. Starting in 2019, a peer-review system among European genebanks involving self-assessments, site visits and expert evaluation has helped improve practices, strengthen capacity, and foster knowledge exchange, though it requires sustained resources and a pool of experts. I suspect they’re using at least some of the above metrics.
- Could botanic gardens use the Plant Treaty to regulate plant material more effectively? Yes they could, just like genebanks already do. And yes, I am sure there are metrics.
- Release of two new practical guides to support ex situ conservation in genebanks. FAO publishes new guides to help genebanks implement the Genebank Standards in practice for non-orthodox seeds and cryopreservation, aiming to reduce technical barriers and improve consistency. Now for some metrics.
- Unlocking genebanks for farmer resilience: Assessing the impact of ‘Germplasm User Groups’ in enhancing farmers’ access to diversity. In five African countries, forming “Germplasm User Groups” connecting farmers to national genebanks increases awareness, improves access to crop diversity, generates seed sharing spillovers, and hopefully helps farmers respond to climate-related challenges.
Want to know what AI makes of the above? “Genebanks are sharpening their tools: new metrics set benchmarks for performance, peer reviews foster collaboration, and the Plant Treaty offers clearer rules for sharing, FAO’s practical guides make standards easier to apply, while Germplasm User Groups show how farmers benefit when genebanks open their doors.” Sounds good to me. But to what extent will also this be adopted around the world, and will it last?
Brainfood: Agroecology, Afghan wheat, CWR microbes, Chocolate microbes, Liberica coffee, Wild apples, USDA cotton collection, Parmesan cattle, Sweetpotato genome, Vertical tomatoes
- Embracing new practices in plant breeding for agroecological transition: A diversity-driven research agenda. Plant breeding for agroecology will need access to locally-adapted plant diversity, sure, but also the involvement of a diversity of stakeholders and the use of a diversity of co-design strategies.
- Conservation and Utilization of Wheat Genetic Resources in Afghanistan Expanded with the Homecoming Wheat Landraces Collected Half a Century Ago. The above could also be said of wheat breeding in Afghanistan. Fingers crossed.
- Blueprints for sustainable plant production through the utilization of crop wild relatives and their microbiomes. Oh, wait, breeders (agroecological and otherwise) will also need the diversity of microbiomes associated with crop wild relatives.
- A defined microbial community reproduces attributes of fine flavour chocolate fermentation. Oh, wait, we will also need the diversity of the microbes involved in fermentation, at some point.
- Genomic data define species delimitation in Liberica coffee with implications for crop development and conservation. It might help if we knew how many species made up a crop in the first place. In the case of Liberica coffee, it turns out to be 3. No word on the microbiomes involved.
- Assessment of genetic diversity and population structure of Malus sieversii and Malus niedzwetzkyana from Kazakhstan using high-throughput genotyping. It would also help to know where interesting diversity was concentrated within crop wild relatives. In apples, it’s not necessarily the ancestor.
- The National Plant Germplasm System cotton collection—a review of germplasm resources, phenotypic characterization, and genomic variation. Lots of morphological characterization and agronomic evaluation, not so much molecular data, but increasing. No word on the microbes.
- Establishing a genomic-driven conservation of a cattle genetic resource: the case of the Parmigiano-Reggiano cheese iconic breed. In contrast, these guys have genotyped practically a whole breed. But yeah, no microbes.
- Phased chromosome-level assembly provides insight into the genome architecture of hexaploid sweetpotato. The contributions of different wild relatives to the sweetpotato genome are to be found intertwined along chromosomes rather than restricted to subgenomes. Unclear what that will mean to agroecologial breeders.
- Harnessing Green Revolution genes to optimize tomato production efficiency for vertical farming. Agroecological breeders unavailable for comment.