Rounding up wild Guatemalan cacao accessions

…are there really no wild Guatemalan cacao accessions conserved in genebanks around the world?

I asked the question, so I better have a go at answering it, I suppose.

WIEWS shows no wild cacao from Guatemala, and actually not all that much cacao in Guatemala of any kind. GRIN returns 10 Theobroma accessions from Guatemala, but none of them are described as wild. The International Cocoa Germplasm Database (ICGD) returns 6 accessions from 4 localities. Here they are shown as crosses.

I got them into Google Earth via DIVA-GIS. The other icons show the distribution of herbarium specimens of wild T. cacao (C) and T. bicolor (B) and the predicted range of the former, according to the Guatemalan CWR atlas I blogged about yesterday. But you can’t tell from the data in ICGD whether the accessions represented by crosses are wild or not. Don’t worry though, there’s a reference given for all the accessions, so all is not lost: Rivera De Leon, S. (1986). Informe general sobre el proyecto de recoleccion de cacao Criollo en Guatemala. Unpublished report AGPG:IBPGR (FAO Rome)/86/156. Estacion de Fomento Los Brillantes, Guatemala.

It is an IBPGR report, so it should be available in the Bioversity’s Collecting Missions Files Repository. Which it is, although finding it was non-trivial. I’m not sure if that last link is going to last long, so look for collecting mission CN234. The problem is, I can see no way of attaching the description of the material given in the report to one or another of the accessions in ICGD. So although it does look from the report as though some of the material collected in 1986 may have been wild, I can’t tell you which if any of those crosses in the map above could legitimately be added to the Atlas of Guatemalan Crop Wild Relatives.

So the answer to the question I started out with is: I don’t know. I suppose it’ll take an expert in the crop to sort it out. You come up against this again and again in Genebank Database Hell. You can get so far, but to get any further you need human intervention.

Nibbles: In situ CWR project gong, IRRI genebank kudos, Seed Savers interview, Hairloom spuds TV, Rice and salinity, Korean wild seeds

Mapping crop wild relatives in Guatemala

Good news for lovers of Mesoamerican crop wild relatives. Ten years in the making, the Atlas of Guatemalan Crop Wild Relatives (Atlas Guatemalteco de Parientes Silvestres de las Plantas Cultivadas) is finally out. ((C. Azurdia, K.A. Williams, D.E. Williams, V. Van Damme, A. Jarvis and S.E. Castaño. 2011. Guatemalan Atlas of Crop Wild Relatives. Available at http://www.ars.usda.gov/Services/docs.html?docid=22225 United States Department of Agriculture/Agricultural Research Service (USDA/ARS); Bioversity International; International Center for Tropical Agriculture (CIAT); and the University of San Carlos in Guatemala (FAUSAC).))

The Atlas provides detailed information on 105 species or subspecies of wild Guatemalan plants that are related to crops, including their description, distribution, diversity and conservation status. The species are organized into genepools corresponding to the 29 crops that were chosen for this study because of their economic, cultural and biological importance. Through an interactive Google Earth® interface, users of the Atlas can consult individual maps for each of the 105 plants included in the study, showing their known distribution based on the locations where scientific specimens were collected and projections of their potential range based on climate. Additional maps display areas of high species richness and diversity to assist conservation efforts. The maps draw upon a database of 2,600 records of scientific specimens conserved in numerous national and international institutions, primarily herbaria and seed banks.

I’ve been playing around with it and it is pretty easy to use. Once you open the database in Google Earth ((You can also download an Excel spreadsheet of all the locality data if you want to use your own mapping program or do your own analyses.)) you can map the actual and potential distributions of individual species within each of the genepools, and also of the genepool as a whole. This, for example, is what you get for Phaseolus.

The green-to-red colouring shows the geographic distribution of species richness within the genus. One could quibble on aesthetic grounds about the choice of icon in this case, but that can always be changed by fiddling with the properties of the appropriate layer in Google Earth. More important is that the potential distributions and richness maps are clipped to the borders of Guatemala. I can understand the logic for that, an unwillingness to extrapolate, but I would perhaps have taken the risk, if only to stimulate neighbouring countries to embark on similar efforts.

The Atlas also allows you to look at the distribution of specimens and species richness in the dataset as a whole, and helpfully provides a layer on the protected areas of Guatemala. So this is all the specimens that the authors looked at, mapped together with the extents of national parks, archaeological sites and the like.

Just a little more fiddling with the properties of the layers allows you to see to what extent areas high in richness of crop wild relative species can be found within the confines of protected areas. The answer? Not much.

I don’t know enough about the flora of the region to be sure whether all the relevant species have been included, but the coverage looks pretty comprehensive to me. Clicking on the specimen icons gives you useful basic metadata. In some cases, the specimens are distinguished as to whether they are from herbaria and/or genebanks. So in this case the red dots are germplasm and the rings herbarium specimens of Phaseolus coccineus, which allows a rudimentary form of gap analysis, I suppose.

Perhaps more effort could have been expended in this direction. For example, are there really no wild Guatemalan cacao accessions conserved in genebanks around the world? And could not a little widget have been concocted to very roughly delimit gappy-looking areas? But that is to quibble, and no doubt both data and functionality could be added in the future. An English translation certainly will be. This will prove a marvellous conservation resource. Congratulations to the authors. ((Full disclosure: they’re all friends.)) Now, guys, what about Paraguay?

Brainfood: Wild lentils, Palms, Iron, Soybean

Brainfood: Beans, Tree erosion, Climate space, Ecosystem services, Conservation, Pest management, Phenomics, Oca, Biodiversity research

Don’t forget the open Mendeley group for the papers we link to here.