Before the flood

So, three years back, I posted about the floods in Pakistan, and how genebanks could potentially help farmers recover any crop diversity they lost because of them. But wouldn’t it be even better if the danger of flooding could be predicted? That way crop diversity from at-risk areas could be collected, if not already in genebanks, and multiplied up ready to be distributed should disaster strike.

Well, a recent paper does just that, using AI, no less: “We use our model predictions to identify historically flood-prone areas in Ethiopia and demonstrate real-time disaster response capabilities during the May 2024 floods in Kenya.”

I’ve managed to geo-reference a screen grab of the Ethiopia map provided in the paper using MapWarper, import it into Google Earth, and add the locations of sorghum landraces as reported in Genesys. Here’s what I got.

Unlike in the Pakistan example, there’s not much in the way of genebank accessions from areas of Ethiopia that are particularly at risk from flooding, it seems from this. However, Genesys does not (yet) include geographic provenance data for sorghum from the national genebank of Ethiopia. The 4000-odd sorghum accession from Ethiopia currently in Genesys are conserved at ICRISAT.

Brainfood: Defining domestication, Pig domestication, Archaeological orphan crops, Levant Neolithic causes, Altiplano agricultural origins, Irish cattle, Islamic Green Revolution, Ancient fish DNA, Ancient Chinese rice

Who feeds the world anyway?

For decades, the mantra of “feeding the world” has dominated discussions about agricultural development and food security. The logic sounds straightforward: more food production equals less hunger.

Michael Grunwald, in his new book Feeding the World But Killing the Planet, acknowledges agriculture’s environmental toll but insists that industrial farming—backed by technological fixes—is necessary to meet humanity’s caloric demands. He doesn’t challenge the system, he documents ways to optimize it.

But others argue this is a dangerous simplification. In The Enduring Fantasy of “Feeding the World”, which starts by quoting Grunwald, authors from the Agroecology Research-Action Collective contend that hunger isn’t primarily about food shortages — it’s about poverty, inequality, and political exclusion. The production-first mantra, they argue, legitimizes destructive farming practices that serve elites while leaving the root causes of hunger untouched. They come up with a slogan of their own for the alternative: “a world that feeds itself.”

One camp calls for systemic change — agroecology, local food sovereignty, and policies that tackle inequality. The other seeks to refine the existing model with new technologies that deliver efficiency gains. Both see the ecological risks, but diverge on whether to reinvent or retrofit the system. 1

It occurs to me that I could fall back on my own usual ploy of observing with a self-satisfied smirk that, either way, crop diversity will be needed. But maybe it’s time to do away with catchphrases altogether. It’s more complicated, and more important, than that.

Brainfood: Agroforestry, Afro-descendant conservation, Opportunity crops, Off-farm income, Phureja conservation, European taro, Argania products, Honeybee intensification, Mycorrhizal hotspots

Genebanks learn to be SCRAPPY

In a recent post here I suggested that, despite frequent recourse to the comparison, genebanks are in fact not much like libraries, at least when it comes to deciding which of their contents can safely be jettisoned, or moved elsewhere. For this, librarians sometimes use the ejection criteria summarized by the acronym MUSTY: Misleading, Ugly, Superseded, Trivial and Your collection 2. But those are not really all that appropriate for genebanks, I argued in the earlier post.

Well, if not MUSTY, what?

Genebanks should of course have a policy for deciding what to keep, but the only published example I know of is that of the international genebanks of CGIAR, which can be find in the Guidance Note for CGIAR Genebanks on Improving Accession Management.

The note points out that maintaining accessions is expensive, and needs to be rationalized, but that…

…improved understanding of diversity now provides an opportunity to reconsider and improve the composition and curation of a collection, by identifying potentially similar or redundant accessions that could be removed and gaps in collections that could be filled to increase or better cover inherent diversity for the crops in question. This would result in germplasm collections that will better address the goal of the conservation and use of crop germplasm and the changing needs of the stakeholders, clients and users within a global system. Having alternative options for curation or retention for specific classes of accessions provides options for rationalization and increases the transparency of curation decisions for the providers and users of the germplasm.

So CGIAR genebanks use four classes of curation: Fully curated, Partially curated, Archived, and Historical. Each represents a somewhat lower level of management activity, and therefore investment of time and money. And what accessions might be candidates for moving, say, to archived status? That would mean they “are believed to be alive and are stored in the genebank under optimal conditions for long-term survival, but without monitoring or distribution, while a final decision is made on their future so that, depending on their longevity, they can still be brought back to the curated collection or donated to other collections.” According to the note, lower priority accessions that might be candidates for archiving include:

  • Accessions that are considered genetically similar to other accessions.
  • Accessions from the same collection site and timeframe that are genetically similar and not the result of dividing a mixed original sample into multiple distinct accessions.
  • Accessions that are outside the collection’s mandate and are best managed by others.
  • Accessions that, based on a justified process for prioritizing accessions for conservation, are not considered for long-term conservation as part of the crop genepool, for example, an accession may come from a part of the genepool that is considered to be over-represented in the collection relative to other parts of the genepool.
  • Mixed accessions that are no longer true to the original or have identity problems from physical errors and contamination.
  • Problematic accessions that are beyond the ability of the genebank to continue their maintenance.
  • Accessions of unknown identity or origin and have no historical records.

So, not so much MUSTY, as, what, SCRAPPY maybe?

S – Similar to other accessions genetically
C – Co-collected (same site/time), genetically similar
R – Rogue (outside the mandate)
A – Abundant in over-represented parts of the genepool
P – Polluted (mixed, contaminated, or identity problems)
P – Problematic to maintain
Y – Yesteryear’s mystery (unknown identity/origin)

I hope it catches on.