- The quest for Big Mike. No, not Stormy Daniels’ latest. It’s a banana.
- Ok, I’m going to resist the temptation of making the obvious follow-up joke in connection with this gallery of beautiful chickens.
- Who needs chickens when you have pigeons. Ah, no, these are pigeonpeas.
- Australia’s answer to the potato. Unclear what the question was.
- Australia’s answer to frost-sensitive wheat: look in genebanks for resistant stuff.
- The mother of all avocados. Kind of a Hass-been, though.
- Avocado shmavocado, says India.
- Are you not entertained? Have some popcorn!
- And mustard for that hotdog. You know, like Mesolithic people did.
- History of plant collecting double feature: Bradby Blake & Frank N. Meyer.
- Listen to Jeremy on how grain made its way up the Thames.
- A lot of grain also makes its way to Ft Collins. See what I did there?
- Taro whiskey: I’ll drink to that.
- Kenyan coffee to finish things off? Maybe not for long.
Happy 10th birthday, Svalbard Global Seed Vault!
Yeah, so this happened.
But let’s not make it about me. For once. Let’s hear it for the Global Gatekeepers of Crop Diversity. Live the whole thing again vicariously on Twitter. And go to Mike Jackson for a round-up.
Spatial data everywhere, but is that enough?
Last week saw something of a Big Spatial Data blitz, and not just Kofi Annan’s Nature piece in which he pithily set out why data — both big and small — is important:
Data gaps undermine our ability to target resources, develop policies and track accountability. Without good data, we’re flying blind. If you can’t see it, you can’t solve it.
The occasion for the aphorism was a monumental study in the same journal on “Mapping child growth failure in Africa between 2000 and 2015,” which plotted various child heath and education variables over the entire African continent at the unbelievable resolution of 5×5 kilometres. Interestingly, other spatial data, this time on agricultural production and nutrient diversity (which we have blogged about), was used to explain patterns in child growth stunting. There was also a call in the correspondence section of Nature to “democratise” smallholders’ access to such data.
But that wasn’t all.
A study in the American Journal of Agricultural Economics on “Food Abundance and Violent Conflict in Africa” used a huge spatial dataset of population, agricultural production and conflict locations. It found that, contrary to expectation, “[a]lthough droughts can lead to violence, such as in urban areas; this was found not to be the case for rural areas, where the majority of armed conflicts occurred where food crops were abundant. Food scarcity can actually have a pacifying effect.”
And, finally, there was “Winners and losers of national and global efforts to reconcile agricultural intensification and biodiversity conservation” in Global Change Biology. Unhelpfully titled, the more interesting finding of this study was that the “uneven spatial distribution of both yield gaps and [vertebrate] biodiversity provides opportunities for reconciling agricultural intensification and biodiversity conservation through spatially optimized intensification.”
Will all these pretty maps be used? I’ll just say that it’s probably too much to ask for “the powerful” to learn some GIS, but researchers could get better at helping them to bring together and explore disparate datasets such as these three in easy-to-use visualisations.
LATER: I forgot one: there’s also a new global dataset on evaporative stress index.
Brainfood: Red List, Dormancy variation, Conservation priorities, Intensification, Buckwheat book, Wild barley, Sugarcane diversity, Pollinator diversity, Red Listing, Oily camellia
- The Value of the IUCN Red List for Business Decision-Making. It’s actually a two-way street.
- Phylogeny and source climate impact seed dormancy and germination of restoration-relevant forb species. Significant variation among population for 7 out of 8 species tested.
- An integrated framework to identify wildlife populations under threat from climate change. Brings together exposure to change, sensitivity to change and range shift potential to prioritize among 10 bat populations. Maybe more widely applicable.
- Winners and losers of national and global efforts to reconcile agricultural intensification and biodiversity conservation. Agricultural intensification leads to significant threats to vertebrate diversity, most of which can however be avoided by international cooperation; that being unlikely, national level optimization in 10 countries is next best.
- Buckwheat Germplasm in the World. Its time will surely come.
- Geographical and environmental determinants of the genetic structure of wild barley in southeastern Anatolia. More diverse, and different from the domesticate, with distinct W and E groups, and 4 loci possibly responsible for abiotic adaptation.
- Pedigree, marker recruitment, and genetic diversity of modern sugarcane cultivars in China and the United States. Not much diversity, especially in China.
- Species turnover promotes the importance of bee diversity for crop pollination at regional scales. Pollinator diversity is even more important than we thought.
- Comparing and contrasting threat assessments of plant species at the global and sub-global level. Most of the almost 90,000 assessments come from regional efforts, not global.
- Determination of Camellia oleifera Abel. Germplasm Resources of Genetic Diversity in China using ISSR Markers. Hunan is the place for diversity of this woody oil crop I never heard of.
Featured: Hawaiian taro
Penny thinks traditional varieties are underrated:
Where Hawaii’s research stations and taro farmers practice good soil husbandry, timely harvests and plant stock culling practices, traditional taro varieties thrive. An old Hawaiian saying – nana i ke kumu; look to the source.
This was in reply to a Brainfood snippet on a recent paper by Vincent Lebot and colleagues: “Adapting clonally propagated crops to climatic changes: a global approach for taro (Colocasia esculenta (L.) Schott).”
Results indicated that hybrids tolerant to taro leaf blight (TLB, Phytophthora colocasiae Raciborski), developed by Hawaii, Papua New Guinea and Samoa breeding programmes outperformed local cultivars in most locations.