- Ann Tutwiler, DG of Bioversity, on why we have to solve a quadratic equation of food security now. But is it 7,000 edible plant species, or 12,000? h/t Nancy Castaldo
- Go to page 9 for a cool infographic on nutrition which kinda illustrates that. But really, what a palaver to find it. Which actually I did via Twitter.
- Quadratic? More like non-linear para-differential equations. Or one of those weird things out of chaos theory.
- You can bet ICRAF think one solution to that equation involves the domestication of fruit trees.
- Is Golden Rice another solution? There’s a debate later tonight that might help you decide.
- And while we’re dealing with gene jockeys, apparently RNAi is the Next Big Thing.
- Community, ecosystems, poverty reduction; urban agriculture can do it all. And Dyno Keating, DG of AVRDC, would probably agree.
- And here’s a big PDF from the Centre for Indian Knowledge Systems to show you exactly how. Who needs equations?
- Fed up with maths? Cacao, bean to bar, in photos.
Infrequently asked questions on the chickpea mini core
You may have noticed that a recent Crop Science paper by various ICRISAT staff, entitled “Mini Core Collection as a Resource to Identify New Sources of Variation” 1 and focusing on chickpea, has been attracting a certain amount of media interest. In brief, Hari Upadhyaya of the ICRISAT genebank and his co-workers evaluated a set of 211 chickpea accessions from the genebank for resistance to a whole slew of stresses, caused by both environmental factors (abiotic) and pests and diseases (biotic), and picked out some real winners. Those 211 chickpeas were not chosen at random. They were carefully selected to reflect the overall diversity of the collection of some twenty thousand samples managed by ICRISAT. Hari explains the rationale for this on the genebank’s chickpea web pages (in fact, he has done similar work on all his mandate crops):
The main reason for low use of germplasm in crop improvement programs is the lack of information on large number of accessions, particularly, for traits of economic importance which display a great deal of genotype × environment interaction. Brown (1989) introduced the concept of developing core collection, which consist of about 10% of entire collection and represent at least 70% of the genetic variability of the entire collection, as a gateway to the enhanced utilization of germplasm in breeding. Core collection in chickpea has been reported (Upadhyaya et al. 2001). However, it soon became evident that developing core collections will not solve the problem of low use of germplasm, as even the size of core collection could still be large. To overcome this, Upadhyaya and Ortiz (2001) proposed mini core collection concept (consisting of 10% of the core or 1% of the entire germplasm), and developed mini core subsets in chickpea (Upadhyaya and Ortiz 2001).
The extensive evaluation of the chickpea mini core collection described by Hari and his colleagues in the paper, which spanned many sites and several years, allowed them to identify 40 accessions which were resistant to abiotic stresses, 31 to biotic stresses and 6 accessions which were in both groups. Very useful information for any chickpea breeder, who can now request material by name (or rather, accession number) rather than sending vague requests to Hari for material with resistance to this or that. This sort of work by genebanks makes life easier for breeders and researchers, and increases use of the collection. Which everyone wants to see, not least the money people.
However, even if you get hold of a PDF of the original paper, you may still have a few questions. And so we rolled up our sleeves on your behalf and made the necessary journey into Genebank Database Hell.
One question you may have is: what accessions are in the chickpea mini core? The paper doesn’t list all 211, but you can get the full list from one of the ICRISAT genebank’s web pages. Just click on the link on that page and you’ll see accession number and country of origin for all 211 accessions.
The obvious next question is: how do I get more information on all those accessions? After all, you may want to do your own analysis of the evaluation results. Well, you could cut and past those accession numbers into ICRISAT’s online genebank database. But as chance would have it, there is an easier way, as USDA has a safety duplicate of the mini core, and a set of ICRISAT’s evaluation results is also online at GRIN. It might not be as bang up to date as what’s in the paper, but it’s a start.
Next: what’s the geographic distribution of the accessions in the mini core. Ok, so for this, you could just have a look at the countries of origin, but really dots on a map would be best, right? That turns out not to be so easy to get, you may or may not be surprised to find. To cut a long story short, you will be able to do it in the next iteration of Genesys, but that’s not public yet. Fortunately, I was able to sneak into the sandbox, and for the 25% or so of the 211 accessions which actually have georeferences, this is the result. You saw it here first, folks.
Compare to the distribution of the third of all 48,000-odd chickpea accessions listed in Genesys (current version) which can be mapped.
Yes, I know it’s a little difficult to compare, but that’s really the best I can do at the moment. One question you may have based on that is to what extent the mini core is representative of the climates from which chickpeas have been collected. But that I really cannot answer at the moment without devoting some serious effort to it.
One last thing, which is a little bit more esoteric, so let me sound a Genebank Wonk Alert. You have been warned. Delve a little deeper into the data on one of those 6 super-chickpeas with a whole bunch of resistances, ICC 14402, and you find that, unlike the other 210, which are all labelled as landraces, this one is described as “Breeding/Research material.” What is its history? It’s a little tricky to piece together, but if you look at the other accession numbers which are associated with that accession, both in the ICRISAT database and on GRIN, you get the impression that it represents a selection from a Turkish landrace, ICC 4490. It’s impossible to prove that from the data available online, but I verified that impression with Hari, and he confirmed it in an email:
…ICC 4490 (P 5924; 88 1-4 Spanish) is a landrace from Turkey and was donated in 1973 to ICRISAT. At ICRISAT this line (ICC 4490) was screened in wilt sick nursery and a wilt resistant single plant was selected from this line. The original accessions was maintained as ICC 4490 and new accession identity ICC 14402 was given to this wilt resistant selection in 1986. WR stand for “Wilt resistant”.
There’s clearly quite a lot on information that hasn’t made the journey from the brains of genebank curators to the relevant databases, or indeed the published literature. That’s a little worrying to me.
Pacific regional collection data online
Great to see my old friends at CePaCT, the Centre for Pacific Crops and Trees, get their data online. You remember them, don’t you? They were mentioned in a recent Featured Comment. Not quite sure how long the data’s been up, actually. Maybe quite a while, and I just missed it. Anyway, good to see it. Not least because it gives me a chance to also plug the Directory of plant genetic resources collections in the Pacific, which provides kind of metadata on CePaCT’s collections along with many others in the region. You can download the (big) PDF from the SPC Land Resources Division website, where you can also browse the accession-level data.
Infographic on crop production, by family no less
A tweet from Dan Chitwood of the Donald Danforth Plant Science Center really made my day today. He’s written a piece of code which shows production of different crops in 2011 (according to FAOStat) as a very cool infographic where the crops are differently sized circles arranged by botanical family. Here’s a screengrab, but go to the website, and click on a circle and see what happens. I so long to do this for genebank accession numbers…
Brainfood: Domestication syndrome, Açaí cultivation, FIGS galore, Bean FIGS, Polish wheat, Rice groups, Chickpea QTLs, Cuban ag history, Agroforestry domestication, Conservation markets
- Plant domestication versus crop evolution: a conceptual framework for cereals and grain legumes. Only traits showing clear dimorphism between wild and cultivated taxa are really part of Domestication Syndrome. If there’s a continuum, it happened afterwards.
- Reconfiguring Agrobiodiversity in the Amazon Estuary: Market Integration, the Açaí Trade and Smallholders’ Management Practices in Amapá, Brazil. Açaí driving out other crops. Sometimes those underutilized crops should stay that way? Maybe not, as at the same time, homegardens are diversifying.
- Mining germplasm banks for photosynthetic improvement — wheat, rice, potato, legumes and maize. You need maps.
- Do faba bean (Vicia faba L.) accessions from environments with contrasting seasonal moisture availabilities differ in stomatal characteristics and related traits? Yes. Those maps again.
- Can Polish wheat (Triticum polonicum L.) be an interesting gene source for breeding wheat cultivars with increased resistance to Fusarium head blight? What do you think?
- Genetic diversity and classification of Oryza sativa with emphasis on Chinese rice germplasm. Six major groups, not five. We shall see.
- Genetic dissection of drought tolerance in chickpea (Cicer arietinum L.). It could all (or mostly) be down to one genomic region.
- Historical changes in the process of agricultural development in Cuba. I suppose one could say that, in a way, it’s back to the future.
- Developing more productive African agroforestry systems and improving food and nutritional security through tree domestication. Participation, post-production, private-public partnership.
- Market-based mechanisms for biodiversity conservation: a review of existing schemes and an outline for a global mechanism. Need to have a standard unit of measurement, and a mechanism for ensuring a long-term perspective. Can agricultural biodiversity learn from this?


