- The expansion of agriculture has shaped the recent evolutionary history of a specialized squash pollinator. The genetic diversity of an insect crop pollinator has been affected by the fact that it pollinates a crop.
- Native pollinators improve the quality and market value of common bean. The diversity of native insect crop pollinators affects the value of the crop they pollinate.
- A global approach for natural history museum collections. Basically amounts to “ask curators what they have.” Including presumably specimens of insect pollinators. We’ve been doing this for PGRFA for quite a while now, one way or another. Back to mainly plants next week, hopefully, but let’s keep going with animals for now, and let’s see what more we can learn.
- A 12% switch from monogastric to ruminant livestock production can reduce emissions and boost crop production for 525 million people. Ruminants are not all bad after all.
- Permafrost preservation reveals proteomic evidence for yak milk consumption in the 13th century. The Mongols thought this particular ruminant was just great.
- The self-management organization as a way for the in situ conservation of native poultry genetic resources. In response to the promotion of exotic commercial poultry breeds, women’s groups in Mexico have got together and developed rules to protect native hens. Please let not these be among the 12% of monogastrics that get replaced by yaks.
- Increasing the number of stressors reduces soil ecosystem services worldwide. It’s the number of different stressors, more than their aggregate strength, that most affects how badly soils are stressed. Goes for me too, to be honest.
- Elephants as an animal model for self-domestication. I’ll believe it when elephants domesticate yaks.
Brainfood: 100 plant science questions, Biodiversity data, Cropland expansion double, CC & yields, Crop diversity & stability, Nutritious crops double, Feminist markets
- One hundred important questions facing plant science: an international perspective. How do we leverage existing genetic diversity to create climate-resilient crops? is only number 3 you say? I’ll take it. And in fact that broad question gets deconstructed in questions 36-71. Now, let’s see how today’s haul of papers relates to that, shall we?
- A strategy for the next decade to address data deficiency in neglected biodiversity. Well, yeah, easy one, clearly you need data to conserve the crop wild relatives that could help you breed those climate-resilient crops.
- Post-2020 biodiversity framework challenged by cropland expansion in protected areas. Apart from anything else, that data would tell you which CWR in protected areas are threatened with cropland expansion, and said CWR could help you with breeding crops that could limit cropland expansion by increasing production on existing cropland. Could, could, could…
- Global Maps of Agricultural Expansion Potential at a 300 m Resolution. That cropland expansion might do less damage in some places than others. Still with me?
- Increased probability of hot and dry weather extremes during the growing season threatens global crop yields. Right, that’s why those CWR might come in useful. Assuming you can still find them with all that cropland expansion.
- Divergent impacts of crop diversity on caloric and economic yield stability. At the state level within the USA, crop species diversity is positively associated with yield stability when yield is measured in $ but negatively when measured in calories. Now do it for genetic diversity.
- Role of staple cereals in human nutrition: Separating the wheat from the chaff in the infodemics age. The benefits of those climate-resilient, more nutritious crops need to be better communicated.
- Simple solutions for complex problems? What is missing in agriculture for nutrition interventions. What does nutritious mean anyway?
- “Whose demand?” The co-construction of markets, demand and gender in development-oriented crop breeding. Who is it that wants those climate-resilient, nutritious crops anyway?
- Take-home message: leveraging existing genetic diversity to create climate-resilient crops might be the easy part.
Brainfood: Traits & environment, Acacia growth, Local extinction risk, Lebanese CWR priorities, Malawi CWR payments, Bread wheat origins, Wild lettuce, Ethiopian forages, Editing forages
- Why can’t we predict traits from the environment? Because plants are not collections of independent, isolated traits. All the more reason to study, understand and protect wild plants of economic importance, as the following papers show.
- Differential climatic conditions drive growth of Acacia tortilis tree in its range edges in Africa and Asia. Case in point of the above. Makes germplasm evaluation really hard.
- Understanding local plant extinctions before it is too late: bridging evolutionary genomics with global ecology. Modelling based on the genomic offset (GO) method and the mutations–area relationship (MAR) can help better predict the risk of extinction of different populations.
- Crop wild relatives in Lebanon: mapping the distribution of Poaceae and Fabaceae priority taxa for conservation planning. Bekaa and Baalbak have the highest diversity and the SW the most gaps.
- Community-Level Incentive Mechanisms for the Conservation of Crop Wild Relatives: A Malawi Case Study. Paying communities to conserve crop wild relatives could work and be relatively cheap. Waiting to see this being applied in the Bekaa.
- Population genomics unravels the Holocene history of bread wheat and its relatives. Yeah but crop wild relatives really held back bread wheat domestication. So maybe the Bekaa owes everyone else.
- New insights gained from collections of wild Lactuca relatives in the gene bank of the Institute of Evolution, University of Haifa. Maybe they can gain an insight into how to make lettuce taste of something. And I wonder what environmental variable that will be associated with.
- Climate change and land-use change impacts on future availability of forage grass species for Ethiopian dairy systems. Two forages will do better under climate change, one worse. Assuming a lot of stuff.
- Application of CRISPR/Cas9 technology in forages. But plants are not collections of independent, isolated traits, right?
Brainfood: Human diversity, Wild rye, Caribbean cassava, Three Sisters, Old beer, Old apples, Feral crops, Crop resynthesis
- Palaeogenomics of Upper Palaeolithic to Neolithic European hunter-gatherers. Farmers may have pushed hunter-gatherers to the northern edge of Europe while also in mixing with them.
- Identification and exploitation of wild rye (Secale spp.) during the early Neolithic in the Middle Euphrates valley. Those Europeans on the move — both farmers and hunter-gatherers — would have been familiar with wild rye, but that’s pretty much gone from the Fertile Crescent now.
- Caribbean Deep-Time Culinary Worlds Revealed by Ancient Food Starches: Beyond the Dominant Narratives. But enough about Europe. It wasn’t always all about cassava in the pre-colonial, and indeed colonial, Caribbean…
- Reuniting the Three Sisters: collaborative science with Native growers to improve soil and community health. …as there was also the maize/beans/squash system in that part of the world, and may well be again.
- Understanding Early Modern Beer: An Interdisciplinary Case-Study. Something else that could come back is early modern Irish beer, and I’d be there for that.
- Forgotten forest relics: Apple trees (Malus spp.) in eastern U.S. forests. Old abandoned orchards, and escapes therefrom, could have lots of interesting apple diversity. Early modern American cider, anyone?
- Building a feral future: Open questions in crop ferality. And it’s not just apples. It’s a whole movement in fact.
- Resynthesized Rapeseed (Brassica napus): Breeding and Genomics. Sure, we can rebuild it, we have the technology. But will it go feral on us again?
Brainfood: Seed imaging, Disease imaging, Seed traits, Irvingia shape, Mexican tomatoes, Fine cacao, Wine tourism, Wild peas
- Implication of high variance in germplasm characteristics. Last week’s Brainfood focused on genomic variation. This week, in contrast, we look at phenotyping. But not old school phenotyping, oh no. This paper, for example, uses fancy-ish, but not especially expensive, imaging.
- High-throughput imaging of powdery mildew resistance of the winter wheat collection hosted at the German Federal ex situ Genebank for Agricultural and Horticultural Crops. This paper uses somewhat fancier, and possibly more costly, imaging. Vorsprung durch Technik.
- Low availability of functional seed trait data from the tropics could negatively affect global macroecological studies, predictive models and plant conservation. Even embryos in seeds can be phenotyped.
- Agroforestry Trees’ Architecture as Evidence of Domestication: Case of African Mango Tree in the Dahomey Gap, West Africa. I wonder if one could describe the shape of tree crowns from space? I hope not, this work sounded like fun…
- Diversidad biocultural de tomate nativo en Oaxaca, México. Phenotype is socially constructed in tomato too.
- Who Defines Fine Chocolate? The Construction of Global Cocoa Quality Standards from Latin America. Can you standardise a social construct such as the flavour of chocolate, and would it help farmers? Maybe.
- Douro wine-tourism engaging consumers in nature conservation stewardship: An immersive biodiversity experience. How to make money out of a socially constructed phenotype.
- Natural range, habitats and populations of wild peas (Pisum L.). We should get out of our labs and look for wild peas in the oases of the Sahara Desert, the subalpine communities of Georgia, and the Asir Mts of Yemen. But will we know them when we see them?