- Evolutionary and food supply implications of ongoing maize domestication by Mexican campesinos. Effective population of 500 million plants potentially feeds 50 million people.
- Modulating plant growth–metabolism coordination for sustainable agriculture. Short AND sweet.
- Cracking the Code of Biodiversity Responses to Past Climate Change. Quite a bit of adaptation, not just migration and extinction.
- Plant-Parasitic Nematodes and Food Security in Sub-Saharan Africa. The greatest biotic threat to productivity on the continent, and probably going to get worse.
- Efficient curation of genebanks using next-generation sequencing reveals substantial duplication of germplasm accessions. Out of 1143 accessions of a wild wheat in 3 collections, 564 are unique.
- Emerging plant disease epidemics: Biological research is key but not enough. Not just about the money.
Rescuing the ICARDA genebank
Another important CGIAR genebank with over 41,000 Triticeae accessions at the International Center for Agriculture Research in Dry Areas (ICARDA) housed in Aleppo, Syria has been lost from the turmoil in that region…
Err, no, of course not. I thought this story was better known than such a statement implies. Maybe this will help.
Moving the goalposts
We’ve mostly (though not entirely) steered clear of the Xylella crisis in Italy, because it all seems to futile. I was in Puglia earlier this summer and it was heartbreaking to see entire olive groves dead and dying, and for what? Because of fear and mistrust all around, and an absolute absence of any kind of societal solidarity. So the recent news that the infected zone continues to march steadily up Italy’s heel was in many respects inevitable.
The disease is now threatening plant nurseries, which may be even more important economically than those majestic old olive trees, because they supply huge amounts of grapevines for export. And what do the nurseries say? That “a lack of effective action on the part of regional authorities is responsible for the spread of Xylella, which is now unfairly forcing a crucial economic sector to shut down or move”. On the one hand, they’re absolutely right. On the other, they think that plant nurseries should be exempt from the controls because “no Xyella-infected plants have ever been identified in plant nurseries”.
To which, pessimist that I am, I would add only “Yet”.
Brainfood: Quinoa boom, Diet affordability, Insect boom and bust, Organic & pests, Maize agroforestry, Landraces, Wheat roots, Conservation costs, Sustainable intensification, Defences & domestication, Polyploid niches, Mexican CWR, Danish apples, Diversity proxies, Grassland nutrient hotspots
- Foods and fads: The welfare impacts of rising quinoa prices in Peru. Modest.
- Measuring the Affordability of Nutritious Diets in Africa: Price Indexes for Diet Diversity and the Cost of Nutrient Adequacy. Maybe they could try quinoa.
- Impacts of climate warming on terrestrial ectotherms across latitude. Insects are in trouble in the tropics, but will make up for it at higher latitudes, which will be really bad for crops there, 10-25% more bad.
- Evidence that organic farming promotes pest control. Something for farmers in those higher latitudes to think about.
- The global distribution of Bacillus anthracis and associated anthrax risk to humans, livestock, and wildlife. 63.8 million rural poor livestock keepers are at risk. No word on effect of climate change.
- Do open-pollinated maize varieties perform better than hybrids in agroforestry systems? Maybe in Rwanda, but in Ethiopia not so much.
- More than Yield: Ecosystem Services of Traditional versus Modern Crop Varieties Revisited. Landraces are liked for yield stability in marginal environments, and for cultural reasons.
- Root and shoot traits in parental, early and late generation Green Revolution wheats (Triticum spp.) under glasshouse conditions. Modern wheat have smaller roots.
- Standardized reporting of the costs of management interventions for biodiversity conservation. Behind a paywall, so can’t tell whether includes genebanks. But I bet it doesn’t. Tell me I’m wrong.
- Global assessment of agricultural system redesign for sustainable intensification. Apparently 30% of farms and 10% of agricultural land worldwide, which is both more and less than I would have guessed.
- Genetic homogeneity of North-African goats. The Berber breeds are different, everything else is a big mixed up mess.
- Plant domestication decreases both constitutive and induced chemical defences by direct selection against defensive traits. In cabbage, even the tissues that are not eaten are more edible than in the wild relative.
- Polyploid plants have faster rates of multivariate climatic niche evolution than their diploid relatives. Relevant for domestication?
- An Initiative for the Study and Use of Genetic Diversity of Domesticated Plants and Their Wild Relatives. In Mexico.
- Population structure, relatedness and ploidy levels in an apple gene bank revealed through genotyping-by-sequencing. There’s a lot of inter-relatedness in the Danish collection.
- Biases induced by using geography and environment to guide ex situ conservation. “Although geographic and environmental diversity have proven to be reliable predictors of allele frequency differences and ecotypic differentiation across species ranges, they appear to be poor predictors of allelic diversity per se.” At least for 3 species.
- Examining the spectra of herbarium uses and users. Herbaria mostly used by taxonomists shock.
- Ancient herders enriched and restructured African grasslands. Shit. You heard me.
R you interested in species distribution models?
If you always wanted to do species distribution modelling, it’s your lucky day. Let Robert Hijmans and Jane Elith take you by the hand.
This document provides an introduction to species distribution modeling with R. Species distribution modeling (SDM) is also known under other names including climate envelope-modeling, habitat modeling, and (environmental or ecological) niche-modeling. The aim of SDM is to estimate the similarity of the conditions at any site to the conditions at the locations of known occurrence (and perhaps of non-occurrence) of a phenomenon. A common application of this method is to predict species ranges with climate data as predictors.