Abstract: Abstract Significant detrimental effects of agricultural intensification and specialization are becoming increasingly evident. Reliance on monocultures, few varieties, and intensive use of agrochemicals is a major factor in climate change, biodiversity decline, soil health deterioration, and pollution, putting our food system at risk. This requires sustainable agricultural processes, such as crop diversification, to be more rapidly and effectively tested, adopted, and scaled. While these processes are typically introduced at niche level, they often struggle to scale and to induce broader sustainability transitions. In this study, we investigate how scaling may occur, focusing on institutional logics, their changes, and realignment over time. In particular, we applied an abductive research strategy to collect empirical evidence from two in-depth, longitudinal case studies of innovation niches related to crop diversification. Doing so, we show for the first time that, despite their many differences, scaling processes of crop diversification in both niches converge, presenting similar progressions in terms of institutional dimensions, and facing similar obstacles when it comes to value chain formation. While initial experimentation could still be implemented using organizational forms familiar to the lead actors, we discover that a systemic lack of adequate value chain arrangements obstructed the scaling process of crop diversification in both cases. These findings have been used to reflect on the role of value chain relations in scaling processes in sustainability transitions in agriculture. PubDate: 2023-02-21
Abstract: Abstract Maize production in Zambia must increase with a view towards improved food security and reduced food imports whilst avoiding cropland expansion. To achieve this, it is important to understand the causes behind the large maize yield gaps observed in smallholder farming systems across the country. This is the first study providing a yield gap decomposition for maize in Zambia, and combining it with farm typology delineation, to identify the key limiting factors to maize yield gaps across the diversity of farms in the country. The analysis builds upon a nationally representative household survey covering three growing seasons and crop model simulations to benchmark on-farm maize yields and N application rates. Three farm types were delineated, including households for which maize is a marginal crop, households who are net buyers of maize, and households who are market-oriented maize producers. Yield gap closure was about 20% of the water-limited yield, corresponding to an actual yield of 2.4 t ha− 1. Market-oriented maize farms yielded slightly more than the other farm types, yet the drivers of yield variability were largely consistent across farm types. The large yield gap was mostly attributed to the technology yield gap indicating that more efficient production methods are needed to raise maize yields beyond the levels observed in highest yielding fields. Yet, narrowing efficiency and resource yield gaps through improved crop management (i.e., sowing time, plant population, fertilizer inputs, and weed control) could more than double current yields. Creating a conducive environment to increase maize production should focus on the dissemination of technologies that conserve soil moisture in semi-arid areas and improve soil health in humid areas. Recommendations of sustainable intensification practices need to consider profitability, risk, and other non-information constraints to improved crop management and must be geographically targeted to the diversity of farming systems across the country. PubDate: 2023-02-21
Abstract: Abstract In the future, a cropping system that guarantees food security by delivering high yields and, simultaneously, protects our environment is desperately needed. This can be achieved through a cropping system that waives chemical synthetic plant protection products, which endanger, for example, biodiversity and water resources. However, such a system, referred to here as the mineral-ecological cropping system (MECS), should still allow for the usage of mineral fertilizers to ensure high yields. It can be thought of as a compromise between the current conventional and organic cropping systems. This article presents a comprehensive literature review on the economic, social, and environmental effects of pesticides and the resulting reasons farmers have to use (or not use) them. Hereby, regarding future pesticide reduction, we identify hindrances and potential benefits that could be mobilized to design the MECS. The major points are the following: in a MECS, (1) it is expected that yields and temporal stability of yields will be higher than in organic farming, but lower than in conventional farming; (2) profitability might suffer due to high input costs and energy consumption; (3) it is expected that soil fertility and biodiversity protection will increase along with the promotion of alternative disease and pest control measures; (4) crop rotations will be wider and more diverse than in conventional farming; (5) mineral fertilizer cannot be optimally used by the crops unless a balanced supply of nitrogen is achieved. Farmers who want to switch to MECS should be compensated as they are likely to experience higher costs and lower yield and yield stability. The lessons learned from this review will help to progress toward an innovative and sustainable cropping system. Further research should focus on rational farmers’ adaptation possibilities when abandoning pesticides while still using mineral fertilizers. PubDate: 2023-02-17
Abstract: Abstract Organic agriculture and organic food have expanded in recent decades but have undergone conventionalisation. Some claim that this contradicts some or all of the principles of ‘health’, ‘ecology’, ‘fairness’ and ‘care’ established by the International Federation of Organic Agricultural Movement (IFOAM). It is currently unclear how research on organic food/agriculture is structured, whether it embraces these principles, or how key crop diversification, driving sustainability, are addressed. To fill these knowledge gaps, we conducted a bibliometric analysis of 10,030 peer-reviewed articles published from 1945 to 2021 with topic and textual analysis. Our main findings were the following: (1) research is compartmentalised into scales and disciplines, with at field-scale ‘weed’, ‘soil’, ‘pest and disease’ management and ‘livestock farming’ seldom addressed together, or with environmental assessment separated from socioeconomic studies at farm scale. (2) The proportion of publications on ‘consumers’ preferences’ and ‘product quality’ research almost tripled in 20 years, from 10 to 27%, emphasizing the consumer orientation of research on organic agriculture and organic food. (3) Only 4% of articles covered all four IFOAM principles, while associated values such as ‘resilience’, ‘integrity’, ‘equity’, ‘transparency’ and ‘justice’ were even less frequently addressed. (4) Fewer diversification practices have been tested in organic than in conventional agriculture research, with fewer articles on ‘crop mixtures’ or ‘bee-friendly crops’ and a smaller range of legumes considered. (5) Research on genetic improvement and processing of organic legumes is lacking, which could constrain adoption of legumes in organic farming even more than in conventional agriculture. These results indicate a need for increasing interdisciplinary efforts at field level, with systematic measurement of multiple processes (weed-nutrient-pest dynamics). Future studies on organic agriculture should combine several diversification practices and legumes, with relevant indicators addressing the IFOAM values explicitly, and consider the whole value chain by linking producers with consumers. PubDate: 2023-02-14
Abstract: Abstract The main hurdle in instrumentalizing agricultural soils to sequester atmospheric carbon is the development of methods to measure soil carbon stocks which are robust, scalable, and widely applicable. Our objective is to develop an approach that can help overcome these hurdles. In this paper, we present the Wageningen Soil Carbon STOck pRotocol (SoilCASTOR). SoilCASTOR uses a novel approach fusing satellite data, direct proximal sensing-based soil measurements, and machine learning to yield soil carbon stock estimates. The method has been tested and applied in the USA on fields with agricultural land use. Results show that the estimates are precise and repeatable and that the approach could be rapidly scalable. The precision of farm C stocks is below 5% enabling detection of soil organic carbon changes desired for the 4 per 1000 initiative. The assessment can be done robustly with as few as 0.5 sample per hectare for farms varying from 20 to 150 hectares. These findings could enable the structural implementation of carbon farming. PubDate: 2023-02-08
Abstract: Abstract There is currently an intense debate about the potential for additional organic carbon storage in soil, the strategies by which it may be accomplished and what the actual benefits might be for agriculture and the climate. Controversy forms an essential part of the scientific process, but on the topic of soil carbon storage, it may confuse the agricultural community and the general public and may delay actions to fight climate change. In an attempt to shed light on this topic, the originality of this article lies in its intention to provide a balanced description of contradictory scientific opinions on soil carbon storage and to examine how the scientific community can support decision-making despite the controversy. In the first part, we review and attempt to reconcile conflicting views on the mechanisms controlling organic carbon dynamics in soil. We discuss the divergent opinions about chemical recalcitrance, the microbial or plant origin of persistent soil organic matter, the contribution of particulate organic matter to additional organic carbon storage in soil, and the spatial and energetic inaccessibility of soil organic matter to decomposers. In the second part, we examine the advantages and limitations of big data management and modeling, which are essential tools to link the latest scientific theories with the actions taken by stakeholders. Finally, we show how the analysis and discussion of controversies can guide scientists in supporting stakeholders for the design of (i) appropriate trade-offs for biomass use in agriculture and forestry and (ii) climate-smart management practices, keeping in mind their still unresolved effects on soil carbon storage. PubDate: 2023-02-06
Abstract: Abstract There is a lack of data on resources used and food produced at urban farms. This hampers attempts to quantify the environmental impacts of urban agriculture or craft policies for sustainable food production in cities. To address this gap, we used a citizen science approach to collect data from 72 urban agriculture sites, representing three types of spaces (urban farms, collective gardens, individual gardens), in five countries (France, Germany, Poland, United Kingdom, and United States). We answered three key questions about urban agriculture with this unprecedented dataset: (1) What are its land, water, nutrient, and energy demands' (2) How productive is it relative to conventional agriculture and across types of farms' and (3) What are its contributions to local biodiversity' We found that participant farms used dozens of inputs, most of which were organic (e.g., manure for fertilizers). Farms required on average 71.6 L of irrigation water, 5.5 L of compost, and 0.53 m2 of land per kilogram of harvested food. Irrigation was lower in individual gardens and higher in sites using drip irrigation. While extremely variable, yields at well-managed urban farms can exceed those of conventional counterparts. Although farm type did not predict yield, our cluster analysis demonstrated that individually managed leisure gardens had lower yields than other farms and gardens. Farms in our sample contributed significantly to local biodiversity, with an average of 20 different crops per farm not including ornamental plants. Aside from clarifying important trends in resource use at urban farms using a robust and open dataset, this study also raises numerous questions about how crop selection and growing practices influence the environmental impacts of growing food in cities. We conclude with a research agenda to tackle these and other pressing questions on resource use at urban farms. PubDate: 2023-02-01
Abstract: Abstract Soil degradation threatens agricultural production and soil multifunctionality. Efforts for private and public governance are increasingly emerging to leverage sustainable soil management. They require consensus across science, policy, and practice about what sustainable soil management entails. Such agreement does not yet exist to a sufficient extent in agronomic terms; what is lacking is a concise list of soil management measures that enjoy broad support among all stakeholders, and evidence on the question what hampers their implementation by farmers. We therefore screened stakeholder documents from public governance institutions, nongovernmental organizations, the agricultural industry, and conventional and organic farmer associations for recommendations related to agricultural soil management in Germany. Out of 46 recommended measures in total, we compiled a shortlist of the seven most consensual ones: (1) structural landscape elements, (2) organic fertilization, (3) diversified crop rotation, (4) permanent soil cover, (5) conservation tillage, (6) reduced soil loads, and (7) optimized timing of wheeling. Together, these measures support all agricultural soil functions, and address all major soil threats except soil contamination. Implementation barriers were identified with the aid of an online survey among farmers (n = 78). Results showed that a vast majority of farmers (> 80%) approved of all measures. Barriers were mostly considered to be economic and in some cases technological, while missing knowledge or other factors were less relevant. Barriers were stronger for those measures that cannot be implemented in isolation, but require a systemic diversification of the production system. This is especially the case for measures that are simultaneously beneficial to many soil functions (measures 2, 3, and 4). Results confirm the need for a diversification of the agricultural system in order to meet challenges of food security and climate change. The shortlist presents the first integrative compilation of sustainable soil management measures supporting the design of effective public or private governance. PubDate: 2023-02-01
Abstract: Abstract There is an urgent need for agri-food system transformation to achieve global sustainability goals. Innovations can play a key role in this transformation but often come with both sustainability synergies and trade-offs. One such innovation is agricultural mechanization, which is spreading rapidly in parts of the Global South and is high on the policy agenda in others. The rapid spread of mechanization is fundamentally changing the character of agri-food systems in the Global South, with both positive and negative effects. However, while some of these effects have been well explored, no study so far has systematically reviewed the sustainability synergies and trade-offs associated with mechanization, undermining necessary accompanying research and policy efforts. This review provides an overview of the progress toward mechanization across the Global South, identifies drivers and barriers, assesses sustainability synergies and trade-offs, and discusses options to maximize sustainability outcomes. The review is the first to holistically assess the potentials and risks of agricultural mechanization for the sustainable transformation of agri-food systems in the Global South, taking into account all pillars of sustainability. The review suggests that agricultural mechanization is needed to make agri-food systems more sustainable concerning various economic and social aspects, such as labor productivity, poverty reduction, food security, and health and well-being. However, there are also sustainability risks concerning environmental aspects such as biodiversity loss and land degradation, and economic and social concerns related to lacking inclusiveness and growing inequalities, among others. A wide range of technological and institutional solutions is identified to harness the potential of agricultural mechanization for sustainable agri-food system transformation, while at the same time minimizing the risks. However, more efforts are needed to implement such solutions at scale and ensure that mechanization contributes to agri-food systems that respect all pillars of sustainability. PubDate: 2023-01-25
Abstract: Abstract Sorghum is an important food and feed crop in the dry lowland areas of Ethiopia. Farmers grow both early-sown long-duration landraces and late-sown short-duration improved varieties. Because timing and intensity of drought stress can vary in space and time, an understanding of major traits (G), environments (E), management (M), and their interactions (G×E×M) is needed to optimize grain and forage yield given the limited available resources. Crop simulation modeling can provide insights into these complex G×E×M interactions and be used to identify possible avenues for adaptation to prevalent drought patterns in Ethiopia. In a previous study predictive phenology models were developed for a range of Ethiopian germplasm. In this study, the aims were to (1) further parameterize and validate the APSIM-sorghum model for crop growth and yield of Ethiopian germplasm, and (2) quantify by simulation the productivity-risk trade-offs associated with early vs late sowing strategies in the dry lowlands of Ethiopia. Field experiments involving Ethiopian germplasm with contrasting phenology and height were conducted under well-watered (Melkassa) and water-limited (Miesso) conditions and crop development, growth and yield measured. Soil characterization and weather records at the experimental sites, combined with model parameterization, enabled testing of the APSIM-sorghum model, which showed good correspondence between simulated and observed data. The simulated productivity for the Ethiopian dry lowlands environments showed trade-offs between biomass and grain yield for early and late sowing strategies. The late sowing strategy tended to produce less biomass except in poor seasons, whereas it tended to produce greater grain yield except in very good seasons. This study exemplified the systems approach to identifying traits and management options needed to quantify the production-risk trade-offs associated with crop adaptation in the Ethiopian dry lowlands and further exemplifies the general robustness of the sorghum model in APSIM for this task. PubDate: 2023-01-24
Abstract: Abstract Factors affecting fertilizer decisions made by grain growers are changing in the context of changing climatic conditions and growing volatility in global fertilizer and grain markets. To ensure sustainable development of grain industries in light of this uncertainty, research, development, extension, and adoption activities associated with growers’ fertilizer decisions need to be focused on factors to which they are most sensitive. The aim of this paper is to understand the factors that have the greatest influence on grain producer’s fertilizer strategies, how these factors have changed over recent years, and what is the relative importance of agronomic, socioeconomic, and logistical factors affecting these strategies. A telephone survey of 425 grain-growing businesses in Western Australia was conducted, and survey results were analyzed statistically. We show for the first time that grain growers’ fertilizer decisions are most sensitive to agronomic factors (especially the amount and distribution of rainfall). Logistic factors (such as difficulties fertilizing increasing areas in short periods of time) are growing in influence as farm size, cropping areas, and the number of fertilizer applications within seasons increase. Fertilizer decisions have become less sensitive to socioeconomic factors over the last 10 to 15 years. To ensure sustainable development of grain production, research through to adoption activities should focus on agronomic issues (such as seasonal forecasting) and logistic issues (such as improving planning, organizational, and technical capacity for developing and implementing fertilizer strategies). PubDate: 2023-01-24
Abstract: Abstract Despite the acknowledged benefits of crop diversification, the transition towards more diversified cropping systems needs to be supported, mainly due to socio-technical lock-ins favoring major dominant crop species. This calls for the development of new approaches to support the design of locally tailored diversified cropping systems. This paper aims to present an original participatory and multi-actor design approach, developed to support the introduction of camelina (Camelina sativa) into the cropping systems of northern France and to provide some insights about the characteristics, the specificities, and the limits of this approach to support its use and adaptation to other contexts. For 3 years, and in connection with the development of an oilseed biorefinery, we gathered a variety of actors (farmers, advisors, engineers in agronomy, researchers, and industrialists) to locally support the introduction of camelina in the cropping systems. First, we illustrate the diversity of the modalities that have been collectively imagined to introduce and manage camelina in the local cropping systems. Then, we describe the originality and the diversity of the knowledge produced on camelina, especially during the assessment of some of these modalities within on-farm experiments. Finally, drawing on concepts and theories from design sciences, we show that (i) the pre-existence of networks of actors, (ii) the rationale involvement of the actors, (iii) the implementation of a situated design process fueled by action and distributed among actors, (iv) the sharing and the circulation of knowledge among a diversity of actors involved in the production and use of the new crop, and (v) the implementation of an effective network management contributed to foster the three key elements that we identified as crucial to support crop diversification, namely, the production of actionable knowledge, the exploration of new ideas/concepts, and the active participation of a diversity of actors of the agri-food system. PubDate: 2023-01-23
Abstract: 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 (N2O) in more than 90% of the comparisons with reductions ranging from 6 to 142 kg N ha−1 and from 1 to 6 kg N2O 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. PubDate: 2023-01-17
Abstract: Abstract In response to the sustainability issues that agriculture faces in advanced economies, agroecology has gained increasing relevance in scientific, political, and social debates. This has promoted discussion about transitions to agroecology, which represents a significant advancement. Accordingly, it has become a growing field of research. We reviewed the literature on and in support of farm transitions to agroecology in advanced economies in order to identify key research challenges and suggest innovative research paths. Our findings can be summarized as follows: (1) Research that supports exploration and definition of desired futures, whether based on future-oriented modeling or expert-based foresight approaches, should more explicitly include the farm level. It should stimulate the creativity and design ability of farmers and other stakeholders, and also address issues of representation and power among them. (2) Research that creates awareness and assesses farms before, during or after transition requires more holistic and dynamic assessment frameworks. These frameworks need to be more flexible to adapt to the diversity of global and local challenges. Their assessment should explicitly include uncertainty due to the feedback loops and emergent properties of transitions. (3) Research that analyzes and supports farms during transition should focus more on the dynamics of change processes by valuing what happens on the farms. Research should especially give more credence to on-farm experiments conducted by farmers and develop new tools and methods (e.g., for strategic monitoring) to support these transitions. This is the first review of scientific studies of farm transitions to agroecology. Overall, the review indicates that these transitions challenge the system boundaries, temporal horizons, and sustainability dimensions that agricultural researchers usually consider. In this context, farm transitions to agroecology require changes in the current organization and funding of research in order to encourage longer term and more adaptive configurations. PubDate: 2023-01-10
Abstract: Abstract Facing the ecological and social crisis that the agrifood systems cross, a profound transformation of food systems is required, necessitating systemic and sustainable innovations. Sustainability assessments are generally performed to identify and/or validate the improvement in sustainability conferred by a designed artifact relative to the current or standard situation. However, they can have many other benefits in the design process. Here, we review the place, role, and conditions of use of sustainability assessment in innovation design processes in agrifood systems. By cross-referencing published findings and our own experience, we formalize a design process highlighting the place of sustainability assessment, whether design is intended for the creation of an agricultural or food artifact. We identify three types of assessment: initial diagnosis, screening between solutions at the ideation stage, and evaluation at the prototyping and development stages. We discuss ways of performing each of these assessments and highlight general key points about sustainability assessment. A first set of key points relate to criteria and indicators, a second set to the role of stakeholders, a third one to the adaptive nature of the assessment, and the last one to the uncertainty consideration. These key points provide guidance for efficient assessment in the design of innovations to increase the sustainability of agrifood systems. Thus, we demonstrate that the design process of innovations for sustainable agrifood systems requires (1) to formalize the place and mode of assessment, (2) to make use of relevant sustainability criteria and indicators, (3) to reinforce participatory practices, and (4) to adapt the assessment to the context of the designed artifact, to facilitate choices between imperfect solutions. Such an approach aims to promote innovations that meet the expectations of the system’s direct stakeholders, but also integrate the needs of invisible actors such as the environment or the well-being of populations. PubDate: 2023-01-10
Abstract: Abstract With the rapid growth of professional intra-urban agriculture (PIUA) projects in the Global North, sponsors, projects leaders, and experts developing these projects are seeking to evaluate their sustainability. As existing assessment tools are not adapted to PIUA projects, they establish their own assessment practices. Our study examines these practices to identify their original features, criteria, and indicators used. To this end, we analysed 19 case studies of different PIUA projects. We identified four dimensions underpinning sustainability assessment, namely, internal sustainability, external sustainability, the project leader’s credibility, and the innovative nature of the project. We also shed light on the wide diversity of the 67 assessment criteria identified, as well as the qualitative nature of 78% of indicators used. In addition, our study highlights that assessment practices evolve over time as the project progresses from ideation to implementation, according to the variety of assessment situations. Our study is the first to provide an in-depth exploration of PIUA stakeholders’ sustainability assessment practices and to shed light on their specific features. Our results afford a better understanding of the way the sustainability of PIUA projects is assessed and contribute to reflection on the design of a flexible assessment tool, considering the diverse criteria and practices used by stakeholders to assess the sustainability of PIUA. PubDate: 2023-01-03 DOI: 10.1007/s13593-022-00849-6
Abstract: Abstract Organic mixed livestock farming offers a range of potential benefits for the environment. Due to the diversification of enterprises, this farming system can be associated with a high workload, which means that it could be socially unsustainable. The aim of this study was to understand and explain work satisfaction of farmers running an organic mixed livestock farm. Using a mixed-method approach, quantitative and qualitative data were collected from 102 farmers in seven European countries during face-to-face interviews. We showed for the first time that across Europe and different animal species and category combinations, organic mixed livestock farms can provide a high work satisfaction, despite a high workload. By using a mixed-method approach and a clear framework, we aimed at better understanding work satisfaction. Underlying reasons for work satisfaction included the diversity of tasks, opportunities to learn, autonomy in the work schedule, perceived acknowledgement by consumers, and the contribution to sustainable food production. Factors contributing to work satisfaction identified in the analysis of quantitative data included workload, number of livestock units, mental complexity, proportion of work peaks per year, and the match between wanted free time and time taken off work. The combination of qualitative and quantitative data allowed a deeper understanding of farmers’ work satisfaction and revealed consistent findings. Future research should investigate the relationship between farmers’ work satisfaction and capacity for innovation, flexibility, and adaptation potential. PubDate: 2023-01-03 DOI: 10.1007/s13593-022-00852-x
Abstract: Abstract Long-term active restoration is often employed to restore degraded grasslands. The establishment of a viable soil seed bank is the key to successful restoration, as it enhances the resilience of vegetation. However, little is known of how the soil seed bank affects vegetation resilience following long-term active restoration of degraded grasslands. We determined seed abundance and species composition of the soil seed bank and soil properties and vegetation resilience of intact, degraded, and long-term (>10 years) actively restored grasslands on the Tibetan plateau (3900–4200 m a.s.l.). The plant-soil-seed bank quality index and structural equation modelling (SEM) were used to assess the effect of the soil seed bank on vegetation resilience. After long-term (>10 years) active restoration of degraded grasslands by sowing seeds of native plant species, the densities of transient and persistent seeds increased by 5%, but seed richness (number of species) decreased by 25% when compared with degraded grasslands. This occurred largely as a result of an increase in grass but decrease in forb seeds. Persistent seeds of grasses play an important role in the productivity of restored grasslands, while the density of persistent seeds serves as an indicator of the resilience of vegetation. A combination of the plant community and soil properties determined seed density. Here, we show for the first time that long-term active restoration enhances vegetation resilience of grasslands by altering the soil seed bank. A high seed density of sown Gramineae and a low seed density of forbs in the soil seed bank is a key to the successful active restoration of degraded grasslands. PubDate: 2023-01-03 DOI: 10.1007/s13593-022-00862-9
Abstract: Abstract Cropping system models are deployed as valuable tools for informing agronomic decisions and advancing research. To meet this demand, early career scientists are increasingly tasked with building crop models to fit into these system modelling frameworks. Most, however, receive little to no guidance as to how to do this well. This paper is an introduction to building a crop model with a focus on how to avoid pitfalls, minimize uncertainty, and maximize value. We synthesized knowledge from experienced model builders and literature on various approaches to model building. We describe (1) what to look for in a model-building dataset, (2) how to overcome gaps in the dataset, (3) different approaches to fitting and testing the model, and (4) how to avoid common mistakes such as over-parameterization and over-fitting the model. The process behind building a crop model can be overwhelming, especially for a beginner, and so we propose a three-pronged approach: conceptualize the model, simplify the process, and fit the model for a purpose. We revisit these three macrothemes throughout the paper to instil the new model builder with the methodical mindset needed to maximize the performance and impact of their crop model. PubDate: 2022-12-29 DOI: 10.1007/s13593-022-00854-9
Abstract: Abstract The need for better understanding and conservation of wild plant resources with potential for domestication or utilization in crop improvement has been highlighted in recent years. Botanical resources such as herbaria, databases, and floras offer an information-rich platform from which to select species of interest based on desirable traits. To demonstrate the potential of these resources, wild, native forage legumes were screened for inclusion in northern Swedish grassland agricultural systems (leys). The poor persistence of red clover in multi-year leys is a limitation to the current management strategy in the region. Wild, native forage legumes with the potential for longer persistence were considered for inclusion as minor components in leys to contribute to the system in later years of production. Using the Umeå University Herbarium, local floras, and both regional and international biodiversity databases, seven wild forage legume species were selected based on phenology, morphology, and native range. Particular focus was given to the potential for species to provide pollinator resources early in the season, leading to species with early flowering being preferred. Biodiversity databases were also used to locate wild populations of the selected species to facilitate seed collection for future cultivation, as additional study of the agronomic potential of the selected species is necessary. Here, we have shown that the rich biodiversity data stored in botanical institutions can jumpstart the selection of wild species for utilization in the agriculture sector based on various traits of interest. PubDate: 2022-12-21 DOI: 10.1007/s13593-022-00853-w
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