Wallow Fire (may) threaten (some) wild beans. Maybe.

There’s a really bad fire spreading in Arizona. 1

You can donwload all kinds of stuff about it, and even post your experiences of it on Facebook. But can you find out whether any crop wild relatives are threatened by it? Well, sure: all you have to do is go off to GBIF, and choose a likely genus (Phaseolus, say), and download the records, and mash them up in Google Earth with the latest fire perimeter data or whatever. 2 Like I’ve done here:

Coming in closer, and using the NASA GeoTIFF instead of the normal Google Earth imagery, you can put yourself in the position of being able to make some reasonably intelligent guesses about what might be happening to some of these populations, and the genepool as a whole in the area:

But what I really meant is that there ought to be a way to do this automagically, or something. Anyway, it is sobering to reflect that while all hell is breaking loose in Arizona, not that far away to the northeast, in the peaceful surroundings of the Denver Botanical Garden, Anasazi beans are enjoying their day in the sun, utterly oblivious of the mortal threat faced by some of their wild cousins. It’s a cruel world. And there’s a point in all this about the need for complementary conservation strategies that’s just waiting to be made. Isn’t there?

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The revenge of characterization data

It is a truth universally acknowledged that characterization data are useless to breeders. Well, universally acknowledged by breeders anyway. Morphological data are all well and good for genebank curators looking for duplicates and old-fashioned taxonomists, they say. But what we need is evaluation data, and lots of it.

As usual, I exaggerate; for effect, as usual. But I think it would certainly be true to say that detailed morphological descriptions of germplasm are not the highest priority thing breeders want out of genetic resources databases. That would probably be information on resistance to biotic and abiotic stresses.

And yet a paper just out in Euphytica shows that the former can be clues to the latter. A team at IRRI 3 looked at the susceptibility of rice to sheath blight, an important disease throughout rice-growing areas, especially under intensive systems. 4 They measured how 200 accessions did when inoculated with Rhizoctonia solani in the field. So far, so conventional.

But because the accessions were very carefully chosen (out of a total of over 100,000 in the IRRI genebank), the team, which included the genebank manager, were able to estimate to what extent differences in disease intensity were due to plant and canopy architecture — in other words, morphology — and how much to genetic susceptibility.

The accessions tested were selected to represent contrasting morphologies (based on leaf length, leaf angle and number of tillers, typical characterization descriptors), different phenologies (number of days to 80% flowering) and all the major varietal groups (indica, aus, aromatic, temperate, japonica and tropical japonica). It turned out that the lowest levels of disease intensity were found on a particular morpho-phenological group, and that this effect of morphology on disease intensity was much greater than any effect of genetic group, although the aus varietal group was markedly superior to the others.

The authors therefore recommend that breeders looking for sources of reduced susceptibility to sheath blight will find it most efficient to select taller accessions with wider leaves. Let us see what the breeders think. I’ll post this on GIPB and report back if there’s any reaction.