Agronomy for Sustainable Development最新文献

Rice (Oryza sativa L.) is extensively cultivated in South Asia mostly under puddled transplanted conditions which are highly energy and water-intensive with low income and degraded soil properties. Off-late, alternative crop establishment practices such as direct seeded rice, system of rice intensification, and zero-till rice have gained importance as viable options for resilient farming. However, the valuation of these different rice systems in terms of ecosystem services is not systematically carried out. The research objective was to evaluate the ecosystem services of different rice establishment systems to determine their potential and importance as ecological assets and strive to find out the most productive establishment method while minimizing its effects on the natural resources, environment, and human health. A novel valuation approach was developed using an experimental and bottom-up method to assess the value of rice systems based on three aspects: provisioning, regulation and maintenance, and cultural services. To evaluate the ecosystem services of different rice establishment methods, 11 indicators were selected. The seven rice establishment methods evaluated were random-puddled transplanted rice, line- puddled transplanted rice, conventional till-machine transplanted rice, zero till-machine transplanted rice, system of rice intensification, conventional till, and zero till- direct seeded rice. The results revealed that the value of rice ecosystem services across establishment practices averaged US$ 9092 ha^-1 yr^-1. Direct seeded rice (zero till/conventional till) provided the highest ecosystem services at US$ 9491 ha^-1year^-1 and random puddled transplanted rice was lowest at US$ 8767 ha^-1 year^-1. Provisioning, regulation-maintenance, and cultural ecosystem services contributed 20.3,79.4, and 0.3% to the total ecosystem services value. The research emphasizes the favorable environmental attributes of direct seeded rice, which may be integrated into the policy framework for better decision making to guarantee the sustainability of the agri-food system in the mid-Indo-Gangetic regions.

Over the past 15 years, Argentina has experienced a consistent stagnation in rice grain yield, diverging from the substantial annual increases observed in other South American countries. It is important to understand the causes of this stagnation to take corrective measures to increase the productivity and competitiveness of Argentine rice farmers. This research incorporates data from ten growing seasons to explore rice yield improvements through enhanced management practices. Our study aims to determine the yield potential and yield gap and to identify key factors associated with yield losses in irrigated rice fields in Argentina. Yield and management practice data from farmers were collected via a survey that included 2470 site-year observations (2010–2020). The yield potential was simulated using the Oryza model. The yield gap was calculated as the difference between the yield potential and the average yield from the field. Our findings indicated that 22% of the current yield gap is due to the sowing date, 9% is associated with the adoption of rotation/succession, and 5% is associated with the early onset of irrigation up to the V3 stage. The implementation of these practices has demonstrated the potential to reduce the current yield gap from 48% to 33%. Additionally, previous work has shown that the amounts of N and K fertilizers influence the yield gap. Rice yield stagnation is limited by both low genetic progress and farmers’ reluctance to adopt improved management practices. Hence, a 10-day shift toward early sowing in Argentina (high yield versus low yield) would result in a 510 kg ha⁻¹ yield increase. Addressing these management issues illustrates the power of this approach for impact assessment to support policy and investment prioritization and for monitoring the impact of research and extension programs.

Research has shown that soil-borne beneficial microorganisms can enhance plant growth, productivity, and resistance against pests and pathogens and could thus serve as a sustainable alternative to agrochemicals. To date, however, the effect of soil-beneficial microbes under commercial crop production has been little assessed. We here investigated the effect of root inoculation with nine well-characterized bacterial and fungal strains and two consortia on tomato performance under intensive tomato crop management practices. We measured the impact of these root inoculations on plant growth, fruit quality, yield, and pest and pathogen incidence. While most microbial strains showed weak effects, we found that the fungal strains Trichoderma afroharzianum T22 and Funneliformis mosseae significantly increased marketable tomato yield. Moreover, we found that inoculation with most of the fungal strains led to a significant reduction in the incidence of the devastating leaf-mining pest Tuta absoluta, while this effect was not observed for bacterial inoculants. In addition, we found that microbial inoculations did not impact the incidence of introduced natural pest enemies, supporting their compatibility with well-established integrated pest management strategies in horticulture. In summary, the observed general positive effects of soil microbes on tomato yield and resistance reinforce the move toward broader adoption of microbial inoculants in future crop production, ultimately improving agricultural sustainability.

Urban agriculture is often associated with sustainable agricultural practices. However, the variety of systems qualifying as urban agriculture and the limited information available about their sustainability question this direct relationship. To better understand differences in intra-urban agriculture systems and their sustainability, this paper proposed an holistic classification of urban agricultural systems and collected knowledge about the environmental, social, and economic sustainability of these systems. Such a classification is important to evaluate sustainability claims on urban agricultural systems, anticipate potential sustainability trade-offs between urban agricultural systems and propose preventive measures to address these, and ultimately guide the sustainable deployment of these systems. Compared with existing classifications, the novel classification scheme proposed here accounts for technological, social and economic characteristics of urban agriculture systems to better distinguish between all systems. It was built on 91 scientific papers. The economic intensity of production was, for example, an important characteristic to coherently group urban agriculture systems. The intensity of cooperation between all actors was another characteristic emphasized for certain urban agriculture systems. One end of the classification scheme describes ground-based open, socially motivated urban agriculture systems with high cooperation intensity and low production intensity. The other end of the classification scheme describes building-integrated quasi-closed systems with high production intensity. In between, we find: building-integrated conditioned systems, ground-based conditioned systems, and building-integrated open systems. Mapping sustainability claims from literature in the classification scheme supported its definition along the three characteristics. For example, urban farming was associated with job creation, food safety, water savings, and higher yields while urban gardening with educational potentials, biodiversity improvements, and lower yields. Their display in the classification scheme was therefore supported. To further support the use of the proposed scheme, additional quantitative research to better understand and quantify the sustainability of urban agriculture systems is required.

Against the backdrop of global warming, the agricultural sector grapples with the dual challenge of safeguarding food security while fulfilling carbon neutrality. Currently, although nitrogen fertilizer and mulch use to enhance maize yields is well-documented, systematic evaluations are lacking in the carbon neutrality potential and holistic benefits, including greenhouse gas (GHG) implications, associated with these strategies. Here, using the calibrated DeNitrification-DeComposition (DNDC) model, we conducted a long-term simulation (1980−2019) incorporating various scenarios of nitrogen fertilizer (N₁: conventional nitrogen fertilizer; N_0.7: 70% conventional nitrogen fertilizer) and mulch (CK: no-mulch; PM: plastic film mulch; SM: straw mulch), resulting in a baseline scenario (CKN₁) and five mitigation scenarios (CKN_0.7, PMN₁, PMN_0.7, SMN₁, SMN_0.7). We revealed an average net global warming potential during the maize growing season of 5293 kg CO₂ eq ha⁻¹, with the most GHG derived from N₂O (53%). Considering GHG costs, the net environmental and economic benefits in maize amounted to 5089 CNY ha⁻¹. Presently, Hainan, Henan, Liaoning, and Jilin provinces exhibit a state of low net global warming potential and high net environmental and economic benefits in maize cultivation. Of the mitigation scenarios, only SMN₁ concurrently reduced GHG emissions (− 59%) and amplified net environmental and economic benefits (+ 21%) in China. Our results, which provide the first calculation of the combined benefits of mulch and nitrogen fertilizer including GHG costs, not only underscore the immense potential of mulch for enabling carbon neutrality, but also offer valuable insights for policymakers and industry in selecting suitable mulch techniques for agricultural production.

Within hilly agricultural landscapes, topography induces lateral transfers of runoff water, so-called interplot hydrological connectivity. Runoff water from upstream plots can infiltrate downstream plots, thus influencing the water content in the root zone that drives crop functioning. The impact of runoff on crop functioning can be crucial for optimizing agricultural landscape management strategies. However, to our knowledge, no study has specifically focused on the impact on crop yield. The current study aims to comprehensively investigate the impact of runoff on crop functioning in the context of Mediterranean rainfed annual crops. To quantify this impact, we conduct a numerical experiment using the AquaCrop model and consider two hydrologically connected plots. The experiment explores a range of upstream and downstream agro-pedo-climatic conditions: crop type, soil texture and depth, climate forcing, and the area of the upstream plot. The experiment relies on data collected over the last 25 years in OMERE, an environment research observatory in northeastern Tunisia, and data from literature. A key finding in the results is that water supply through hydrological connectivity can enhance annual crop production under semiarid and subhumid climate conditions. Specifically, the results show that the downstream infiltration of upstream runoff has a positive impact on crop functioning in a moderate number of situations, ranging from 16% (wheat) to 33% (faba bean) as the average across above ground biomass and yield. Positive impact is mostly found for higher soil available water capacity and under semiarid and dry subhumid climate conditions, with a significant impact of rainfall intra-annual distribution in relation to crop phenology. These research needs to be expanded by considering both a wider range of crops and future climate conditions.

To attain food security, we must minimize crop losses caused by weed growth, animal herbivores, and pathogens (or “pests”). Today, crop production depends heavily on the use of chemical pesticides (or “pesticides”) to protect the crops. However, pesticides are phased out as they lose efficiency due to pest resistance, and few new pesticides are appearing on the market. In addition, policies and national action programs are implemented with the aim of reducing pesticide risks. We must redesign our cropping systems to successfully protect our crops against pests using fewer or no pesticides. In this review, I focus on the principles for redesigning the crop ecosystem. Ecological redesign aims to enhance ecological functions in order to regulate pest populations and diminish crop losses. Exploring ecology and ecosystems plays an important role in this transition. Guiding principles for redesigning the cropping system can be drawn from understanding its ecology. Ecosystem and community ecologists have identified four principal ecological characteristics that enhance the biotic regulation of ecological processes across ecosystems: (i) advanced ecosystem succession through introducing and conserving perennial crops and landscape habitats; (ii) reduced disturbance frequency and intensity; (iii) an increase in both managed and wild functional biological diversity, above and below ground; and (iv) matched spatial extent of land use (e.g., crop field size) with that of ecological processes (e.g., dispersal capacity of predators). I review the practices that link these ecosystem characteristics to crop protection in grain commodity cropping in both the crop field and the agricultural landscape. The review brings forth how basic understandings drawn from ecosystem and community ecology can guide agricultural research in the redesign of cropping systems, ensuring that technologies, breeding, innovation, and policy are adapted to and support the reshaped crop ecosystem.

Interspecific crop diversity (e.g., intercropping) has been documented to promote sustainability in agroecological systems with benefits for pollination services and insect pollinators. These benefits may also be extended to intraspecific crop diversity (e.g., cultivation of multiple genotypes or cultivars in a production space), but no review to date has examined the benefits of intraspecific crop diversity for pollination and pollinator communities. While mixing cultivars is necessary and a widespread practice for pollination of self-incompatible or male-sterile crops, it is not as widespread for other crop species. However, many other crops have shown reduced yield quantity or quality with self-fertilization due to partial self-sterility, early acting inbreeding depression, and xenia. These crops could thus experience increased production in diverse cultivar mixtures. Cultivar mixtures could also benefit pollinator communities through providing complementary and temporally consistent floral resources, with cascading effects on pollination services. However, successfully implementing cultivar mixtures requires an understanding of how cultivar identity and arrangement affect successful cross-pollination. In this review, we describe the potential benefits of increased intraspecific crop diversity for optimal pollination and pollinator populations across insect-pollinated crops. Additionally, we explore how research advances in cultivar characteristics and insect pollinator behavior and movement, as well as crop pollen flow, can inform cultivar mixtures and spatial arrangements. We find evidence that mixing cultivars, even in self-compatible crops, improves pollination outcomes and yields. Additionally, given insect pollinator behavior and pollen flow, such mixing must occur at relatively small spatial scales. Furthermore, cultivar diversity could ensure successful pollination and resource production for pollinators under extreme weather events. We also discuss costs and benefits of diverse cultivar mixtures from a grower’s perspective and offer suggestions for future research including translating findings within the context of farming systems so that recommendations are practical and achievable.

Soil quality is pivotal for crop productivity and the environmental quality of agricultural ecosystems. Achieving sufficient yearly income and long-term farm continuity are key goals for farmers, making sustainable soil management an economic challenge. Existing bio-economic models often inadequately address soil quality. In this study, we apply the novel FARManalytics model, which integrates chemical, physical, and biological indicators of soil quality indicator, quantitative rules on how these indicators respond to farmers’ production management over time, and an economic calculation framework that accurately calculates the contribution of production management decisions towards farm income. This is the first study applying this model on existing arable farms. FARManalytics optimizes crop rotation design, cover crops, manure and fertilizer application and crop residue management. Nine Dutch arable farms were analyzed with a high variation in farm size, soil type, and cultivated crops. First, we assessed farm differences in soil quality and farm economics. Second, we optimized production management to maximize farm income while meeting soil quality targets using farm-specific scenarios. Third, we explored the impact of recent policy measures to preserve water quality and to increase the contribution of local protein production. The results show that the case farms already perform well regarding soil quality, with 75% of the soil quality indicators above critical levels. The main soil quality bottlenecks are subsoil compaction and soil organic matter input. We show that even in front-runner farms, bio-economic modeling with FARManalytics substantially improves economic performance while increasing soil quality. We found that farm income could be increased by up to €704 ha⁻¹ year⁻¹ while meeting soil quality targets. Additionally, we show that to anticipate on stricter water quality regulation and market shift for protein crops, FARManalytics is able to provide alternative production management strategies that ensure the highest farm income while preserving soil quality for a set of heterogenous farms.

Cover cropping consists in sowing non-cash crops to improve regulating and supporting services without seeking provisioning services. Cover cropping has the potential for spatio-temporal diversification of cropping systems to help address food security while also improving environmental sustainability. However, cover crops are still poorly adopted by farmers worldwide. One of the key reasons behind this poor adoption is the difficulties in ensuring cover crop establishment that is further exacerbated by the current knowledge gaps. On the other hand, no study has yet summarized key published and unpublished information on cover crop emergence and field establishment that may help fill these knowledge gaps. In light of this, for the first time, we comprehensively review the literature to summarize and quantify information related to cover crop emergence and propose strategies for improving their field establishment. The major findings are as follows. (1) Detailed statistics on the share of arable land sown to cover crops are lacking, but the available information suggests that this share is increasing over the years ranging from 4% in the USA to 9% in the EU. (2) Four key factors—regulations and public policy incentives, economic factors, knowledge factors, and environmental factors—influence the adoption or non-adoption of cover crops by farmers. (3) Poor emergence and field establishment, due to unfavorable environmental conditions, is one of the most important obstacles to cover crop adoption across temperate regions worldwide. (4) Five forms of cover crop sowing are practiced by farmers that can be grouped into two major sowing strategies—sowing before and after harvesting cash crops—each of them presenting several strengths and limits. (5) A wide range of sowing equipment is available for farmers but their choice depends on several factors including work output and costs. Finally, we emphasize the role of a decision support system and modeling, for an optimal cover crop sowing and field establishment, which are key for enhanced quantity of biomass production and ecosystem service provisioning.