The European Union is highly dependent on soybean imports from overseas to meet its protein demands. Individual Member States have been quick to declare self‐sufficiency targets for plant‐based proteins, but detailed strategies are still lacking. Rising global temperatures have painted an image of a bright future for soybean production in Europe, but emerging climatic risks such as drought have so far not been included in any of those outlooks. Here, we present simulations of future soybean production and the most prominent risk factors across Europe using an ensemble of climate and soybean growth models. Projections suggest a substantial increase in potential soybean production area and productivity in Central Europe, while southern European production would become increasingly dependent on supplementary irrigation. Average productivity would rise by 8.3% (RCP 4.5) to 8.7% (RCP 8.5) as a result of improved growing conditions (plant physiology benefiting from rising temperature and CO2 levels) and farmers adapting to them by using cultivars with longer phenological cycles. Suitable production area would rise by 31.4% (RCP 4.5) to 37.7% (RCP 8.5) by the mid‐century, contributing considerably more than productivity increase to the production potential for closing the protein gap in Europe. While wet conditions at harvest and incidental cold spells are the current key challenges for extending soybean production, the models and climate data analysis anticipate that drought and heat will become the dominant limitations in the future. Breeding for heat‐tolerant and water‐efficient genotypes is needed to further improve soybean adaptation to changing climatic conditions.

Future area expansion outweighs increasing drought risk for soybean in Europe

Legume-based rotation enhances subsequent wheat yield and maintains soil carbon storage

A win-win situation – Increasing protein production and reducing synthetic N fertilizer use by integrating soybean into irrigated Mediterranean cropping systems

The aim of this review was to provide an overview of existing farming practices and technologies in Europe by assessing their contribution to climate-smart agricultural (CSA) outcomes. Following the PRISMA protocol, 110 final selected studies were scrutinized. Altogether 74 different practices and technologies were identified. Using an inductive approach, the identified practices and technologies were categorized, and their potential contribution towards contextualized CSA outcomes—productivity, resilience, GHG mitigation, biodiversity improvement, animal welfare support, water and energy use efficiency—was assessed. Among CSA farming practices, this review highlighted legume-based cover crops, crop rotation, intercropping, and crop diversification as having promising potential to achieve CSA outcomes. Among CSA technologies, precision fertilization, crop protection, and irrigation showed promising potential. Moreover, pasture grazing, legume-based feed additives, improved forage production and holistic husbandry management with precision technologies were identified as promising contributors to CSA outcomes. The review emphasizes that the utilization of smart farming technologies and practices in crop and livestock production systems could positively contribute to achieving one or more outcomes. Overall, the GHG mitigation and farm productivity improvement outcomes were relatively well covered in the reviewed literature. Improvements in biodiversity, water and energy use efficiency, and animal welfare outcomes are not well demonstrated within the identified studies. 

Review on the contribution of farming practices and technologies towards climate-smart agricultural outcomes in a European context

Legume-based crop diversification with optimal nitrogen fertilization benefits subsequent wheat yield and soil quality

Abstract Legume-supported cropping systems affect environmental, production, and economic impacts. In Europe, legume production is still marginal with grain legumes covering less than 3% of arable land. A transition towards legume-supported systems could contribute to a higher level of protein self-sufficiency and lower environmental impacts of agriculture. Suitable approaches for designing legume-supported cropping systems are required that go beyond the production of prescriptive solutions. We applied the DEED framework with scientists and advisors in 17 study areas in nine European countries, enabling us to describe, explain, explore, and redesign cropping systems. The results of 31 rotation comparisons showed that legume integration decreased N fertilizer use and nitrous oxide emissions (N 2 O) in more than 90% of the comparisons with reductions ranging from 6 to 142 kg N ha −1 and from 1 to 6 kg N 2 O ha −1 , respectively. In over 75% of the 24 arable cropping system comparisons, rotations with legumes had lower nitrate leaching and higher protein yield per hectare. The assessment of above-ground biodiversity showed no considerable difference between crop rotations with and without legumes in most comparisons. Energy yields were lower in legume-supported systems in more than 90% of all comparisons. Feasibility and adaptation needs of legume systems were discussed in joint workshops and economic criteria were highlighted as particularly important, reflecting findings from the rotation comparisons in which 63% of the arable systems with legumes had lower standard gross margins. The DEED framework enabled us to keep close contact with the engaged research-farmer networks. Here, we demonstrate that redesigning legume-supported cropping systems through a process of close stakeholder interactions provides benefits compared to traditional methods and that a large-scale application in diverse study areas is feasible and needed to support the transition to legume-supported farming in Europe. 

https://link.springer.com/content/pdf/10.1007/s13593-022-00861-w.pdf

Transition to legume-supported farming in Europe through redesigning cropping systems

We identified marker-trait associations for key faba bean agronomic traits and genomic signatures of selection within a global germplasm collection. Faba bean (Vicia faba L.) is a high-protein grain legume crop with great potential for sustainable protein production. However, little is known about the genetics underlying trait diversity. In this study, we used 21,345 high-quality SNP markers to genetically characterize 2678 faba bean genotypes. We performed genome-wide association studies of key agronomic traits using a seven-parent-MAGIC population and detected 238 significant marker-trait associations linked to 12 traits of agronomic importance. Sixty-five of these were stable across multiple environments. Using a non-redundant diversity panel of 685 accessions from 52 countries, we identified three subpopulations differentiated by geographical origin and 33 genomic regions subjected to strong diversifying selection between subpopulations. We found that SNP markers associated with the differentiation of northern and southern accessions explained a significant proportion of agronomic trait variance in the seven-parent-MAGIC population, suggesting that some of these traits were targets of selection during breeding. Our findings point to genomic regions associated with important agronomic traits and selection, facilitating faba bean genomics-based breeding. 

/pdf/genetic-analysis-of-global-faba-bean-diversity-agronomic-36989h11.pdf

Genetic analysis of global faba bean diversity, agronomic traits and selection signatures

Faba bean (Vicia faba L.) is a high-protein grain legume crop with great potential for further cultivation. However, little is known about the genetics underlying trait diversity. In this study, we use 21,345 high-quality SNP markers to genetically characterise 2,678 faba bean genotypes. We perform genome-wide association studies of key agronomic traits using a Seven-parent-MAGIC population and detect 238 significant marker-trait associations linked to 12 traits of agronomic importance, with 65 of these being stable across multiple environments. Using a non-redundant diversity panel of 685 accessions from 52 countries, we identify 3 subpopulations differentiated by geographical origin and 33 genomic regions subject to strong diversifying selection between subpopulations. We find that SNP markers associated with the differentiation of northern and southern accessions were able to explain a significant proportion of agronomic trait variance in the Seven-parent-MAGIC population, suggesting that some of these traits have played an important role in breeding. Altogether, our findings point to genomic regions associated with important agronomic traits and selection in faba bean, which can be used for breeding purposes. Key Message We identified marker-trait associations for key faba bean agronomic traits and genomic signatures of selection within a global germplasm collection.

/pdf/genetic-analysis-of-global-faba-bean-germplasm-maps-3mgvgpul.pdf

Genetic analysis of global faba bean germplasm maps agronomic traits and identifies strong selection signatures for geographical origin

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Transition to legume-supported farming in Europe through redesigning cropping systems

Genetic analysis of global faba bean diversity, agronomic traits and selection signatures

Genetic analysis of global faba bean germplasm maps agronomic traits and identifies strong selection signatures for geographical origin