- Climate change is sending people to genebanks…
- …and leading to their holdings being used in lots of different and interesting ways.
- Collections of wild potatoes will surely be very useful…
- …for projects such a this, for example.
- And there’s also taro leaf blight to see to…
- …as well as trees important to Indigenous people to be conserved.
Brainfood: Digitizing collections, Bean core, Livestock diversity, Maya & maize, Fish stocks & CC, Save the weed, Flax CWR, Italian agrobiodiversity
- 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.
Brainfood: Green Revolution narratives, Soybean diversity, Wild barley diversity, Maize and bean breeding, Rice breeding, Apple pedigrees, Trees and diets, ICRISAT genebank, IITA genebank, GHUs, CGIAR policy, Diverse farming, De novo domestication
- Epic narratives of the Green Revolution in Brazil, China, and India. Symbols, heroes, heritage-making and we-will-do-it-even-better-next-time in the service of self-preservation and self-assertion. But, as we shall see below, not everything needs to be an epic success to be interesting, and useful.
- Using landscape genomics to infer genomic regions involved in environmental adaptation of soybean genebank accessions. Analysis of USDA collection shows that many haplotypes associated with high-latitude cold tolerance in China are still absent from modern American and European cultivars.
- Phenotypic evolution of the wild progenitor of cultivated barley (Hordeum vulgare L. subsp. spontaneum (K. Koch) Thell.) across bioclimatic regions in Jordan. Re-collecting after 23 years shows some loss of phenotypic diversity.
- Decades of Cultivar Development: A Reconciliation of Maize and Bean Breeding Projects and Their Impacts on Food, Nutrition Security, and Income of Smallholder Farmers in Sub-Saharan Africa. Much done, much remains to be done.
- Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines. Progress, but not fast enough.
- A new method to reconstruct the direction of parent-offspring duo relationships using SNP array data and its demonstration on ancient and modern cultivars in the outcrossing species Malus × domestica. Sometimes it’s difficult to tell which variety is the parent and which the offspring.
- What are the links between tree-based farming and dietary quality for rural households? A review of emerging evidence in low- and middle-income countries. Meta-analysis shows that trees can help with diets, but it depends on a lot of things.
- Genebanks and market participation: evidence from groundnut farmers in Malawi. Improved peanut varieties derived from genebank accessions encourage market participation by farmers through expanding the area under cultivation, but not the amount sold.
- IITA’s genebank, cowpea diversity on farms, and farmers’ welfare in Nigeria. Improved varieties derived from genebank accessions don’t push out landrace diversity and are associated with higher yields and other benefits to farmers.
- The role of CGIAR Germplasm Health Units in averting endemic crop diseases: the example of rice blast in Bangladesh. The IRRI Germplasm Health Unit contributed about 2% to the benefits of the rice blast resistance breeding programme, but that’s a cost:benefit ratio of 112.
- Policy directions in public agricultural research: CGIAR’s public goods mandate and plant genetic resources. There has been too much focus on the “global” bit of “global public goods,” and opportunities have thus apparently been missed. The three papers above would like a word though.
- Landscape complexity and functional groups moderate the effect of diversified farming on biodiversity: A global meta-analysis. Diverse farming systems are better for both agricultural production and biodiversity.
- Breeding future crops to feed the world through de novo domestication. Ah yes, we will do it better this time.
Brainfood: Kungas, Tomato domestication, Wild honeybees, Association mapping, Mixtures, Wild edible plants, DSI ABS, Fusarium wilt, Mango weeds, Conservation payments
- The genetic identity of the earliest human-made hybrid animals, the kungas of Syro-Mesopotamia. According to 4500 year old DNA, these super-donkeys were sterile crosses between female domestic donkeys and wild male asses. I guarantee nothing below will be as much fun as this.
- Haplotype analyses reveal novel insights into tomato history and domestication driven by long-distance migrations and latitudinal adaptations. I was wrong. Turns out tomatoes came about by one wild species evolving into a semi-domesticated one during a gradual migration from the Peruvian deserts to the Mexican rainforests and that fully domesticated Peruvian and Ecuadorian populations were the result of more recent back-migrations.
- Semi-natural habitats promote winter survival of wild-living honeybees in an agricultural landscape. Wrong again. Rare wild honeybees have been found in Galician power poles.
- High-resolution association mapping with libraries of immortalized lines from ancestral landraces. Actually, immortal landraces sound pretty cool too.
- From cultivar mixtures to allelic mixtures: opposite effects of allelic richness between genotypes and genotype richness in wheat. Mixtures of inbred lines are generally better than pure stands for coping with blotch disease, but sometimes specific allelic combinations undermine this. Well, ancient super-donkeys it ain’t, but still.
- Local communities’ perceptions of wild edible plant and mushroom change: A systematic review. The literature shows that local people are worried about the decreased abundance of the wild plants they rely on for food and nutrition security.
- Weeds Enhance Pollinator Diversity and Fruit Yield in Mango. That should be “weeds.” They’re not weeds if they’re actually useful. Maybe some of them are even edible.
- Multilateral benefit-sharing from digital sequence information will support both science and biodiversity conservation. We need a multilateral DSI benefit-sharing system which decouples access to DSI from sharing the benefits of DSI use. Where have I heard that before? And can I hear more about ancient hybrid super-donkeys instead?
- Diversity of Fusarium associated banana wilt in northern Viet Nam. The dreaded TR4 is still rare, but the pathogen lurks among the wild species too.
- Payments for Conservation of Animal Genetic Resources in Agriculture: One Size Fits All? I wonder what size would fit a hybrid super-donkey.