- Quality management in a genebank environment: Principles and experiences at the Centre for Genetic Resources, The Netherlands (CGN). Do we need a certification system for genebanks? We do have the means to put one together.
- A pragmatic protocol for seed viability monitoring in ex situ plant genebanks. But will genebank certification allow much-needed flexibility?
- Genotyping Genebank Collections: Strategic Approaches and Considerations for Optimal Collection Management. Or will it make everyone genotype everything?
- Assigning Species Names to Ambiguous Populations in the US Potato Genebank. Oh, you want an example of why everyone should genotype everything?
- The FLAIR-GG federated network of FAIR germplasm data resources. For sure it should require data to be FAIR.
- The EURISCO-EVA Information System, an innovative approach to the data management of multi-site crop evaluation data. Even evaluation data, though? That usually comes from genebank partners, not the genebanks themselves. Wouldn’t that be a problem?
- A case study on lentil to demonstrate the value of using historic data stored in genebanks to guide the selection of resources for research and development projects. Oh, you want an example why evaluation data should be included in (or linked to) genebank documentation systems?
- Indian cryogenebank conserving diverse plant genetic resources for the last three decades: Achievements and way forward. Is it certified, though?
- Share a Tiny Space of Your Freezer to Preserve Seed Diversity. Meanwhile, at the other end of the technology continuum…
- Applications of dry chain technology to maintain high seed viability in tropical climates. If your freezer is in the tropics, think about handling your seeds this way. And maybe you’ll get certified :)
- Insights from a century of data reveal global trends in ex situ living plant collections. Maybe botanic gardens should be certified too, presumably. Would it have made a difference? Actually, now I think of it, does this mean the system as a whole needs to be certified? Anyway, good thing the data were FAIRish.
- A framework for long-term environmental monitoring using living plant collections in botanic gardens: A global review and case study from Trinity College Botanic Garden. Another example of the benefits of FAIR evaluation data. And of botanical gardens.
- Sustainable high-yield farming is essential for bending the curve of biodiversity loss. And genebanks (and maybe botanical gardens too, why not?) are essential for sustainable high-yield farming. Certify that.
What have improved crop varieties ever done for us?
I seem to be doing little more these days that quoting Jeremy’s latest Eat This Newsletter. I was actually going to include the paper Adoption of improved crop varieties limited biodiversity losses, terrestrial carbon emissions, and cropland expansion in the tropics in a forthcoming Brainfood — and I may still do so, if I can think of a pithy way to summarize its import in a sentence. But in the meantime, luxuriate in Jeremy’s more expansive prose.
Improved Crop Varieties: Good in Parts
A paper in the Proceedings of the National Academy of Sciences makes a strong case that, quite apart from producing more food, improved crop varieties have been A Good Thing. Using a new and more detailed model of global agriculture, researchers at Purdue University and USDA asked how improved crop varieties contributed to changes in land use, greenhouse gas emissions, and biodiversity loss from 1961 to 2015.
“From 1961 to 2015, global crop output was higher by 226 million metric tons.” Is that a lot? Hard to know. I looked at quantity of cereals produced, as recorded by the FAO, and between 1961 and 2015 the “developing” world average (i.e. excluding North America, Europe, and Australia and New Zealand) is only 26 million tons a year, a total of about 56 billion tons over the period. So 226 million tons is about 0.4%. I’m sure I have something wrong.
“World cropland use was lower by 16.03 million hectares.” Total world cropland is of the order of 1.8 billion hectares, so about 0.9% less cropland used globally, thanks to improved crop varieties. Again, must be a mistake. Still, reduced conversion of other land to agriculture means less habitat loss and, perhaps, fewer extinctions.
“[A]round 1,043 threatened animal and plant species … globally were saved due to slower cropland expansion.” This is very tricky because we just don’t know how many plants and animals actually went extinct between 1961 and 2015; known unknowns and all that. Certainly a couple of thousand, so this may be a tenuous win.
“In total, global [land use change] emissions under the historical baseline are lower by 5.35 … billion metric tons of CO2 equivalent.” The IPCC estimates about 150–200 tons CO2 equivalent per hectare of deforestation, and FAO estimates about 500 million ha of deforestation from 1961 to 2015, for a total of 75–100 billion tons CO2 equivalent. As much as a 7.1% decrease in emissions thanks to reduced land coming into agriculture.
As you might have guessed, I’m not actually that impressed. Of course improved varieties have been really important in actually feeding people, and famine deaths as a result of crop failure are around a tenth of what they were in 1961. Good nutrition, however, remains out of reach for many, many people even in areas that have seen productivity increase hugely thanks to improved varieties.
A thousand or so plants and animals may have escaped extinction, but how many important farmer landraces are no longer available as a result of the spread of improved varieties?
I realise it is churlish to complain about the things the study didn’t look at, and I am happy to acknowledge that they are aware of the deficits:
“[O]ur study does not take into account the full set of environmental and health consequences that may accompany crop intensification resulting from adoption of improved crop varieties.”
Indeed. My conclusion, for what it is worth, is that while improved crop varieties have made a huge difference to people’s lives, it’s a bit of a stretch to claim, as one report did, that Crop innovation has delivered more food, land, & biodiversity without at least considering some of those other consequences. Still, read that rather than the paper if you just want unalloyed good news.
Brainfood: Micronutrients, Healthy Diet Basket, Meat alternatives, Chickpea polyphenols, African yam bean breeding, CC and nutrition, Biofortification, Mali diet diversity, Myanmar & Malawi agroforestry, African indigenous vegetables, Indian fruits
- Global estimation of dietary micronutrient inadequacies: a modelling analysis. Maybe 5 billion people don’t get enough micronutrients from their diets, absent fortification and supplementation.
- Global analysis reveals persistent shortfalls and regional differences in availability of foods needed for health. There’s enough food in the world, but not enough healthy foods. Those 5 billion people would probably agree.
- A multicriteria analysis of meat and milk alternatives from nutritional, health, environmental, and cost perspectives. Pulses would seem to be a good bet as healthy foods.
- Spanish chickpea gene-bank seeds (Cicer arietinum L.) offer an enhanced nutritional quality and polyphenol profile compared with commercial cultivars. Yeah, but some pulses are better than others.
- Selection criteria and yield stability in a large collection of African yam bean [Sphenostylis stenocarpa (Hochst ex. A. Rich) Harms] accessions. Wait, abut about the nutritional content?
- Climate change and nutrition-associated diseases. We’re going to need a lot more healthy foods. I vote for African yam bean.
- Biofortification: Future Challenges for a Newly Emerging Technology to Improve Nutrition Security Sustainably. Biofortification is still not delivering enough more healthy foods. Will it ever? Jeremy available for comment.
- Do diverse crops or diverse market purchases matter more for women’s diet quality in farm households of Mali? Do both, of course. Jeremy nods sagely.
- The nexus between agroforestry landscapes and dietary diversity: insights from Myanmar’s Central Dry Zone. Do agroforestry too, while you’re at it.
- Trees on farms improve dietary quality in rural Malawi. No, really, agroforestry works.
- The effects of market-oriented farming on living standards, nutrition, and informal sharing arrangements of smallholder farmers: the case of African indigenous vegetables in Kenya. Well, at least incomes went up.
- Unveiling the bountiful treasures of India’s fruit genetic resources. Plenty of scope for putting more healthy foods on tables. Or more income in pockets. Who knows, with any luck, maybe both? But don’t forget the pulses and vegetables too.
Nibbles: Genebanks in South Africa, Ethiopia, Cherokee Nation, China, India, The Netherlands…
- South Africa ratifies the Plant Treaty. Hope its genebank goes from strength to strength.
- Ethiopia ratified a long time ago, and its genebank is going strong.
- Wouldn’t it be nice if the Cherokee Nation could ratify the Plant Treaty?
- Want to build a community genebank like the Cherokee Nation’s? Here’s a resource.
- China hasn’t ratified, but that hasn’t stopped it building genebanks.
- And using their contents, presumably.
- India has ratified, and is also building genebanks.
- The Netherlands ratified long ago, but I’m not sure if it has a water lentil (duckweed) collection, or if it does whether it’s in the Plant Treaty’s Multilateral System. But maybe it will, and it will be, soon. I hope so.
- The Dutch also have an animal genebank, BTW.
- Watermelons are not in the Plant Treaty’s Multilateral System, but maybe they should be.
- Neither is Trigonella, though many other temperate legume forages are, so who knows.
Brainfood: Diversity patterns double, Diversification drivers, Polish genetic erosion, Tibetan naked barley diversity, Indian sorghum diversity, Do novo domestication, Eggplant tree, Banana diversity, Pearl millet diversity, Pigeon pea genome, Grasspea genome, Jersey bull diversity
- Floristic classifications and bioregionalizations are not predictors of intra-specific evolutionary patterns. You can’t use spatial structures in interspecific diversity to predict spatial structure in instraspecific diversity. Gotta do the hard work, there are no shortcuts.
- Intraspecific trait variability in wild plant populations predicts neither variability nor performance in a common garden. You can’t use intraspecific diversity in wild populations to predict how those populations will do elsewhere. Gotta do the hard work, there are no shortcuts.
- Farming for the future: Understanding factors enabling the adoption of diversified farming systems. Access to extension services, strong social networks, and perceived environmental benefits contribute to the diversification of farming systems, but their effects are context-specific. So yeah, you guessed it, you still gotta do the hard work.
- Changes in Plant Genetic Resources in the Southeast Region of Poland from the 1980s to 2023. I wonder which one(s) of the above has been missing in the Lubelskie Voivodeship.
- Abundant Genetic Diversity Harbored by Traditional Naked Barley Varieties on Tibetan Plateau: Implications in Their Effective Conservation and Utilization. I wonder which one(s) of the above has been most effective in the Tibetan Plateau.
- Genetic diversity in in situ and ex situ collections of sorghum [Sorghum bicolor (L.) Moench] landraces. I wonder which one(s) of the above has been most effective in norther Karnataka.
- Enhancing food security amid climate change through rewilding and de novo domestication. Sounds like hard work. But worth doing.
- Characteristics of the ET, a new species created by interspecific hybridization of two wild eggplants. Sounds like hard work. But worth doing?
- Painting the diversity of a world’s favorite fruit: A next generation catalog of cultivated bananas. Chromosome painting, that is. Definitely worth doing.
- Delineation of selection efficiency and coincidence of multi-trait-based models in a global germplasm collection of pearl millet for a comprehensive assessment of stability and high performing genotypes. Stable AND high-yielding? Sounds like the hard work has been done.
- Chromosome-scale reference genome of an ancient landrace: unveiling the genetic basis of seed weight in the food legume crop pigeonpea (Cajanus cajan). Now for the hard work…
- A chromosome-scale reference genome of grasspea (Lathyrus sativus). Now for the even harder work…
- Assessment of genetic diversity, inbreeding, and collection completeness of Jersey bulls in the US National Animal Germplasm Program. I suspect it will be hard work, but don’t forget the low merit bulls. And that probably goes for plants too.