- African rice out of Africa, and out of the genebank.
- The other way around for sweet potato.
- Markers for micronutrients. And diversity for taste…
- The deep history of the ginkgo.
- Study plants to decrease the effects of burping.
- Brazil rationalizes peanut collections.
- Measuring moisture in seeds.
- Big data for better seeds. And not only in Iowa.
- NZ seeds in Svalbard.
- CATIE on Genesys.
- Oz biosecurity fail. Better stick to online.
- I want to be a seed rebel too.
- Maybe in Kazakhstan?
- Agave under the volcano under the cosh.
Citrus in a nutshell
Look, I suppose I could try and explain that recent Citrus phylogeny paper in Annals of Botany. But am I really likely to do better than this graphic?
I didn’t think so.
Important to know what’s what. But if all that’s just too much for you, wind down by listening to Helena Attlee on Eat this Podcast on citrus in Italy.
Old school genebank documentation
Call me a dinosaur, but I like this sort of stuff. A proper printable catalogue of all the material in a collection, with photographs and all, in this case the 200+ olive varieties in Italy’s Centro di Ricerca per l’Olivicoltura e l’Industria Olearia. 1 No doubt all the info is in the appropriate database, where it can be compared to the holdings of other institutes and all. But I’m still grateful for the PDF version.
Brainfood: Cannabis roundup, Citrus genomes, Mapping Africa, Maize diversity, Qat diversity, Language diversity, Apple taste, Coconut diversity, Napier grass review, Rangeland management, Chinese goats, Arabica evaluation, Bangladeshi chickens, Seed endophytes
- Cannabis Domestication, Breeding History, Present-day Genetic Diversity, and Future Prospects. The weed is in trouble, man. Just one of the papers in a very special issue of Critical Reviews in Plant Sciences. And for a historical perspective…
- Genomic analyses of primitive, wild and cultivated citrus provide insights into asexual reproduction. Apomixis is down to a “miniature inverted-repeat transposable element insertion in the promoter region of CitRWP.”
- Automated cropland mapping of continental Africa using Google Earth Engine cloud computing. Croplands increased by 1 Mha/yr between 2003 and 2014.
- Genetic diversity and population structure of native maize populations in Latin America and the Caribbean. Three groups: Mexico + southern S. America, lowland Mesoamerica + Caribbean, Andes.
- Phylogeography of the wild and cultivated stimulant plant qat (Catha edulis, Celastraceae) in areas of historical cultivation. Centres of origin in Kenya and Ethiopia, with limited movement between the two, but some hybrids in N. Kenya; the Yemeni stuff came from Ethiopia.
- Process-based modelling shows how climate and demography shape language diversity. If you assume human groups split after reaching a certain population size, and rainfall limits population density, you can predict language diversity in Australia.
- Volatile Compound Profiles of Malus baccata and Malus prunifolia Wild Apple Fruit. Look at the esters.
- Genetic diversity, population structure and association analysis in coconut (Cocos nucifera L.) germplasm using SSR markers. I can’t see much new here. Please, coconut experts, tell me what I’m missing.
- Opportunities for Napier Grass (Pennisetum purpureum) Improvement Using Molecular Genetics. Could do better.
- Heterogeneity as the Basis for Rangeland Management. Gotta mix it up.
- Analysis of genetic diversity of Chinese dairy goats via microsatellite markers. The locally developed breeds are all derived from a single European breed.
- Variation in bean morphology and biochemical composition measured in different genetic groups of arabica coffee (Coffea arabica L.). You can’t use morphology to predict taste.
- Breeding for the improvement of indigenous chickens of Bangladesh: evaluation of performance of first generation of indigenous chicken. I don’t understand this much, but I liked the names of the genotypes: Naked Neck, Hilly and Non-descript Desi.
- Persistence of endophytic fungi in cultivars of Lolium perenne grown from seeds stored for 22 years. It’s a record!
Brainfood: Dope diversity, Potato chips, Conservation costing, Island breeding systems, Indus civilization cereals, Drone phenotyping, Wild rice in Asia, Wild rice & Native Americans, Pearl millet temperature, Climate change & fruit/veg
- Cannabis Domestication, Breeding History, Present-day Genetic Diversity, and Future Prospects. The traditional landraces are being contaminated and need urgent collection and evaluation by dedicated professionals.
- Cold sweetening diversity in Andean potato germplasm from Argentina. 5 out of 48 Andigena landraces make good chips.
- Considering cost alongside the effectiveness of management in evidence-based conservation: A systematic reporting protocol. Here comes the metadata. No excuse now.
- Self-compatibility is over-represented on islands. 66% vs 41% in Asteraceae, Brassicaceae and Solanaceae. Any crop wild relatives in the list?
- Cereals, calories and change: exploring approaches to quantification in Indus archaeobotany. Millet may not have been as important as is generally thought.
- High-Throughput Phenotyping of Sorghum Plant Height Using an Unmanned Aerial Vehicle and Its Application to Genomic Prediction Modeling. A near-infrared, green and blue (NIR-GB) camera on a drone gives pretty good results compared to a person with a tape measure, and is much more fun.
- Asian wild rice is a hybrid swarm with extensive gene flow and feralization from domesticated rice. No such thing as completely wild Asian rice.
- The dispute over wild rice: an investigation of treaty agreements and Ojibwe food sovereignty. Not wild rice at all, but what’s been happening to it might be a violation of the White Pine Treaty with the Ojibwe.
- Quantifying pearl millet response to high temperature stress: thresholds, sensitive stages, genetic variability and relative sensitivity of pollen and pistil. The problem is the pistils.
- Effect of environmental change on yield and quality of fruits and vegetables: two systematic reviews and projections of possible health effects. Bad for yield, good for nutritional quality.