Agronomy for Sustainable Development最新文献

{"title":"Biotic stress and yield stability in English organic silvoarable agroforestry","authors":"Colin R. Tosh,&nbsp;Tom Staton,&nbsp;Ambrogio Costanzo,&nbsp;Will Simonson","doi":"10.1007/s13593-024-00979-z","DOIUrl":"10.1007/s13593-024-00979-z","url":null,"abstract":"<div><p>In-field trees are thought to buffer arable crops from climate extremes through the creation of microclimates that may reduce the impacts of heat, wind, and cold. Much less is known about how trees and their biotic interactions (e.g. with natural enemies of pests and wild understory plants) impact crop yield stability to biotic stresses such as crop pests and disease. Modelling these interactions using conventional approaches is complex and time consuming, and we take a simplified approach, representing the agroecosystem as a Boolean regulatory network and parameterising Boolean functions using expert opinion. This allies our approach with decision analysis, which is increasingly finding applications in agriculture. Despite the naivety of our model, we demonstrate that it outputs complex and realistic agroecosystem dynamics. It predicts that, in English silvoarable, the biotic interactions of in-field trees boost arable crop yield overall, but they do not increase yield stability to biotic stress. Sensitivity analysis shows that arable crop yield is very sensitive to disease and weeds. We suggest that the focus of studies and debate on ecosystem service provision by English agroforestry needs to shift from natural enemies and pests to these ecosystem components. We discuss how our model can be improved through validation and parameterisation using real field data. Finally, we discuss how our approach can be used to rapidly model systems (agricultural or otherwise) than can be represented as dynamic interaction networks.</p></div>","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":"44 5","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13593-024-00979-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beekeeping and agropastoralism interactions through floral resources in the French Mount Lozère","authors":"Gabriel Gonella,&nbsp;Estelle Leoni,&nbsp;Léo Mouillard-Lample,&nbsp;Claire Aubron,&nbsp;Axel Decourtye,&nbsp;Marc Deconchat,&nbsp;Cécile Barnaud","doi":"10.1007/s13593-024-00985-1","DOIUrl":"10.1007/s13593-024-00985-1","url":null,"abstract":"<div><p>Beekeeping has faced increasing difficulties during the past decades, among which is the decline in floral resources. Agriculture provides essential floral resources for beekeeping, but some farming practices have also been shown to be responsible for their decline. To provide floral resources for beekeeping, what type of agricultural transformation should be promoted, and how? To answer these questions, we still lack knowledge about the floral resources that are used by beekeeping and about the technical-economic obstacles that farmers face in implementing more favorable farming practices, particularly in agropastoral settings. To help fill these gaps, we develop a novel approach that frames both agropastoral farming and beekeeping as farming systems, by characterizing the beekeeping systems of a given place, the floral resources they use, and the impacts these farming systems have on floral resources. This approach is applied to the agropastoral landscapes of Mount Lozère, southern France, using a methodology based on semi-structured interviews with farmers and beekeepers addressing the agronomical functioning of their farms. We demonstrate that the floral resources used by beekeepers on Mount Lozère are threatened by the current dominant agricultural development paths, which seek to maximize the material productivity of labor. Such paths lead to the intensification of agricultural practices in harvested areas and the extensification of rangelands. These pathways are reinforced by the low remuneration of agropastoral labor and by the current rules of the European Union Common Agricultural Policy. “Frugal” farming, a farming system based on reduced inputs and investments, and labor-intensive practices, namely, a labor-intensive use of pasture, seems an effective way to produce floral resources. Both, agropastoral farmers and beekeepers, would benefit from an increase in the number of agricultural workers in agropastoral landscapes. This calls for public policies that promote a better remuneration of agropastoral labor, either directly or by driving market mechanisms.</p></div>","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":"44 5","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13593-024-00985-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A multifunctional life cycle assessment of durum wheat cropping systems","authors":"Silvia Zingale,&nbsp;Carlo Ingrao,&nbsp;Alba Reguant-Closa,&nbsp;Paolo Guarnaccia,&nbsp;Thomas Nemecek","doi":"10.1007/s13593-024-00982-4","DOIUrl":"10.1007/s13593-024-00982-4","url":null,"abstract":"<div><p>Agricultural systems strongly impact ecosystems by driving terrestrial degradation, water depletion, and climate change. The Life Cycle Assessment allows for comprehensive analyses of the environmental impacts of food production. Nonetheless, its application still faces challenges due to cropping systems’ increased complexity and multifunctionality. Past research has emphasized the need for more holistic approaches to consider dynamic crop interactions and diverse functions of cropping systems, beyond just meeting the demand for foods and feeds. In this context, this study applied an alternative combined and multifunctional modelling approach to compare the environmental performances of two durum wheat cropping systems. The latter differed in crop rotation schedules, farming methods, tillage techniques, and genotypes grown (including both modern and old ones). Novel methodological choices were adopted in this study, aiming at best representing the complexity and peculiarities of these systems, by considering crop rotation effects and reflecting the main durum wheat stakeholders’ perspectives. The results showed that the organic low-input landrace-growing system (Case 1) had considerably lower environmental impacts than the conventional high-input one (Case 2), regardless of the functional unit. The environmental hotspots were the increased land occupation and the bare fallow for Case 1 and Case 2, respectively. At the endpoint level, the most affected impact categories for both the systems of analysis were land use, fine particulate matter formation, global warming (human health), and human non-carcinogenic toxicity. Also, the midpoint analysis pointed out important differences in terms of other assessed impact categories, with Case 1 better performing for the majority of them. The identified improvement solutions include the following: the enhancement of the yield performances and the optimization of nitrogen provision from the leguminous crop for Case1, the shift toward a more efficient rotational scheme, the reduction of the use of external inputs, and the avoidance of unnecessary soil tillage operations for Case 2.</p></div>","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":"44 5","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13593-024-00982-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142363114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fertilizer dependency: a new indicator for assessing the sustainability of agrosystems beyond nitrogen use efficiency","authors":"Miguel Quemada,&nbsp;Luis Lassaletta","doi":"10.1007/s13593-024-00978-0","DOIUrl":"10.1007/s13593-024-00978-0","url":null,"abstract":"<div><p>Cropping systems depend on external nitrogen (N) to produce food. However, we lack metrics to account for society’s fertilizer dependency, although excessive increases in N application damage human and environmental health. The objective of this study is to propose a novel indicator, N fertilizer dependency, calculated as the ratio between human-controllable external inputs and total N inputs. Nitrogen fertilizer dependency has a solid mathematical base being derived from closing the nitrogen use efficiency (NUE) equation. This study also tests the value of the N fertilizer dependency concept at the cropping system (plant-soil) scale and at different spatial scales, from field to country, as a complementary indicator to promote sustainable production. The field experiments conducted with grain cereals as a main crop showed that when replacing the barley precedent crop with a legume, N fertilizer dependency accounted for soil legacy and was reduced by 15% in fertilized treatments. In a farm population, N fertilizer dependency ranged from 47 to 95% and accounted for the relevance of biological fixation and irrigation water N inputs, adding pertinent information to performance indicators (i.e., NUE). At the country scale, N fertilizer dependency showed different temporal patterns, depending mainly on the relevance of biological atmospheric N fixation. Nitrogen fertilizer dependency of global cropping systems has risen to ≈83% in the last five decades, even though the N exchange among regions has increased. Nitrogen fertilizer dependency has great potential to monitor the achievements of efforts aiming to boost system autonomy, and within similar agricultural systems, it can be used to identify practices that lead to a reduction of fertilizer needs. In summary, N fertilizer dependency is a new indicator to evaluate the agroenvironmental sustainability of cropping systems across the scales and provides a complementary dimension to the traditional indicators such as NUE, N output, and N surplus.</p></div>","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":"44 5","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13593-024-00978-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142085021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptation rather than adoption: a case study of cropping system change in West Africa","authors":"Anne Périnelle,&nbsp;Eric Scopel,&nbsp;Myriam Adam,&nbsp;Jean-Marc Meynard","doi":"10.1007/s13593-024-00975-3","DOIUrl":"10.1007/s13593-024-00975-3","url":null,"abstract":"<div><p>The top-down approach, whereby scientists design “ready-to-use” packages to be adopted as they are by farmers, is being increasingly called into question. In reality, farmers often do not just adopt new systems that interest them, but adapt proposed systems to their own situation. Yet, these adaptations are seldom encouraged by agronomists and are even less so a focus of research. In this study, we designed and tested a new collective and individual learning-based approach to support farmers’ adaptation of innovative cropping systems, and applied this approach to increasing legume cultivation in cropping systems in a region of Burkina Faso where legumes have been neglected in favor of cotton. The approach is based on a sequence of three steps. First, collective exchanges during “farmers’ field days” were organized in each village around prototyping trials comparing different legume-based cropping system options proposed by agronomists. Second, farmers could choose the cropping system option that most interests them for implementation. Third, farmers progressively adapted this cropping system, in dedicated adaptation plots. Various degrees of adjustments and adaptations were observed between the options displayed in the prototyping trials and the adaptations made in the plots over a 2-year period. We classified these adaptations into five types of dynamics of change. We found that (i) farmers adapted the cropping system options differently depending on the flexibility as well as the farmer’s knowledge of the system, and (ii) the adaptations made by farmers were influenced by the discussions (both peer-to-peers and with the agronomists) that took place during field days. We thus show that collective exchanges on prototyping trials could contribute to support farmers embarking on a trajectory of change through step-by-step design.</p></div>","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":"44 4","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141764234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Versatile crop yield estimator","authors":"Yuval Sadeh,&nbsp;Xuan Zhu,&nbsp;David Dunkerley,&nbsp;Jeffrey P. Walker,&nbsp;Yang Chen,&nbsp;Karine Chenu","doi":"10.1007/s13593-024-00974-4","DOIUrl":"10.1007/s13593-024-00974-4","url":null,"abstract":"<div><p>Accurate production estimates, months before the harvest, are crucial for all parts of the food supply chain, from farmers to governments. While methods have been developed to use satellite data to monitor crop development and production, they typically rely on official crop statistics or ground-based data, limiting their application to the regions where they were calibrated. To address this issue, a new method called VeRsatile Crop Yield Estimator (VeRCYe) has been developed to estimate wheat yield at the pixel and field levels using satellite data and process-based crop models. The method uses the Leaf Area Index (LAI) as the linking variable between remotely sensed data and APSIM crop model simulations. In this process, the sowing dates of each field were detected (RMSE = 2.6 days) using PlanetScope imagery, with PlanetScope and Sentinel-2 data fused into a daily 3 m LAI dataset, enabling VeRCYe to overcome the traditional trade-off between satellite data that has either high temporal or high spatial resolution. The method was evaluated using 27 wheat fields across the Australian wheatbelt, covering a wide range of pedo-climatic conditions and farm management practices across three growing seasons. VeRCYe accurately estimated field-scale yield (R² = 0.88, RMSE = 757 kg/ha) and produced 3 m pixel size yield maps (R² = 0.32, RMSE = 1213 kg/ha). The method can potentially forecast the final yield (R² = 0.78–0.88) about 2 months before the harvest. Finally, the harvest dates of each field were detected from space (RMSE = 2.7 days), indicating when and where the estimated yield would be available to be traded in the market. VeRCYe can estimate yield without ground calibration, be applied to other crop types, and used with any remotely sensed LAI information. This model provides insights into yield variability from pixel to regional scales, enriching our understanding of agricultural productivity.</p></div>","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":"44 4","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13593-024-00974-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Carbon footprint of mixed farming crop-livestock rotational-based grazing beef systems using long term experimental data","authors":"Fabiana Pereyra-Goday,&nbsp;Asma Jebari,&nbsp;Taro Takahashi,&nbsp;Pablo Rovira,&nbsp;Walter Ayala,&nbsp;Michael R. F. Lee,&nbsp;M. Jordana Rivero,&nbsp;Graham A. McAuliffe","doi":"10.1007/s13593-024-00977-1","DOIUrl":"10.1007/s13593-024-00977-1","url":null,"abstract":"<div><p>In the context of ever-growing demand for food and associated concerns regarding the environmental impacts of high-input agricultural systems, there is growing interest in mixed farm enterprises to deliver greater sustainability compared with mono-enterprise production systems. However, assessments of such systems are complex and require high-resolution data to determine the true value and interconnectivity across enterprises. Given the scarcity of information on mixed crop–livestock systems and the difficulties of its analysis, we perform life cycle assessment using temporally high-resolution data (2019–2022) from a long-term experiment in South America to evaluate the ‘cradle-to-farmgate exit’ greenhouse gas emissions intensities of four rotational crop–livestock systems. Systems evaluated were continuous cropping: 2 years of continuous cropping; short rotation: 2-year continuous cropping plus 2-year pasture; long rotation: 2-year continuous cropping followed by 4-year pasture; and forage rotation: continuous pasture. Emissions intensities for beef throughput were reported as kilograms of carbon dioxide equivalents (CO₂-eq) per kilogram of liveweight gain (LWG) using the Intergovernmental Panel for Climate Change’s Sixth Assessment Report (AR6 2021) CO₂ characterisation factors. Point estimate results were found to be 11.3, 11.8, 11.8 and 16.4 kg CO₂-eq/kg/LWG for continuous cropping, short rotation, long rotation and forage rotation, respectively. Emission averages arising from crops, which were separated from animal-based emissions using economic allocation, were 1.23, 0.53 and 0.52 kg CO₂-eq/kg for soybean, wheat and oat, respectively. The inclusion of soil organic carbon stock changes had notable effects on reducing each system’s emissions: by 22.4%, 19.2%, 25.3% and 42.1% under continuous cropping, short rotation, long rotation and forage rotation, respectively, when soil organic carbon was included. Given there are few life cycle assessment studies available on such mixed-enterprise ‘semi-circular’ systems, particularly with novel primary data, this study adds critical knowledge to agri-food-related sustainability literature by addressing environmental issues in complex production systems compared to extant and broad coverage of mono-enterprise systems.</p></div>","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":"44 4","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13593-024-00977-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141625096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determinants of oilseed rape-service plant intercropping performance variability across a farmers’ fields network in Western Switzerland","authors":"Xavier Bousselin,&nbsp;Mathieu Lorin,&nbsp;Muriel Valantin-Morison,&nbsp;Joëlle Fustec,&nbsp;Nathalie Cassagne,&nbsp;Alice Baux","doi":"10.1007/s13593-024-00972-6","DOIUrl":"10.1007/s13593-024-00972-6","url":null,"abstract":"<div><p>The intercropping of winter oilseed rape with frost-sensitive service plants can provide a diversity of services including weed control and N supply for oilseed rape. This practice started to be adopted by farmers and has therefore become one of the most popular intercropping in Western Europe. However, in Switzerland, such intercropping leads to contrasting yields. The growth of service plants and the benefits they provide have also been found to be variable. The factors explaining these variabilities remain unclear. Our study aimed to better understand this variability under a temperate climate thanks to the regional agronomic diagnosis framework. In this study, we first investigated the main factors explaining this variability and then aimed to rank them to identify ways to better manage such intercropping systems. A network of 28 farmers’ fields planted with winter oilseed rape intercropped with service plant mixtures was studied. Farmers’ practices were diverse in terms of specific composition of the service plant mixture, pest management, and fertilization. We observed that the growth of oilseed rape and service plants in fall was highly variable. We determined that in late fall, the main drivers of the service plant mixture dry weight were specific composition of the mixture and precipitation. The introduction of buckwheat in the service plant mixture enhanced its late fall biomass. The oilseed rape grain yields ranged from 0.4 to 5.0 t ha⁻¹ and were lower than that of the local reference in 75% of the fields. This was mainly explained by insect pest damage in spring due to a very limited use of insecticide in our field network combined with a lack of alternative pest management strategies. This work provides further elements to investigate the causes leading to the high variability we observed, together with the local observations that will benefit the farmers.</p></div>","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":"44 4","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13593-024-00972-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141597258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multidimensional measures of farmer well-being: A scoping review","authors":"Marney E. Isaac,&nbsp;Tian Lin,&nbsp;Sophie Caillon,&nbsp;Léa Sebastien,&nbsp;Ken MacDonald,&nbsp;Scott Prudham,&nbsp;Antoine Doncieux,&nbsp;Delphine Renard,&nbsp;Yildiz Aumeeruddy-Thomas,&nbsp;Lisa Vincent,&nbsp;Océane Cobelli,&nbsp;Jonathan Locqueville,&nbsp;Eleanor Sterling","doi":"10.1007/s13593-024-00971-7","DOIUrl":"10.1007/s13593-024-00971-7","url":null,"abstract":"<div><p>Determinants of farmer well-being can be derived from objective and subjective measures of social components, environmental sustainability indicators, and quality of life indices, as well as the multiple scales that farms and farmers operate. Yet, despite multiple frameworks on farmer well-being, the extent to which farmer-expressed values are used in the development of farmer well-being indicators is unclear. Challenges can arise from extracting indicators that are insufficiently grounded in place, or that inadequately incorporate context and biocultural relations and practices. Here in this scoping review, we synthesize the methodologies in the literature on assessing farmer well-being and identify the extent to which farmer well-being domains are derived from values expressed directly by farmers. We consolidated and coded 92 papers to respond to the following questions: (1) What are the most frequent farmer well-being domains in published studies? (2) What methods are used to elicit multidimensional farmer well-being domains? (3) Do well-being domains used in the literature adequately reflect a biocultural context, including place-based influences on well-being? Our results show that economics and social relationships are frequent domains of how farmer well-being is identified and assessed. These domains tend to be measured simultaneously, while less common domains, such as governance and place, are rather isolated. A suite of methods was used to assess well-being domains, ranging from basic surveys to in-depth participant observation. Yet, we identify gaps in the methods for deriving farmer well-being indicators. Specifically, methods that refer to farmer-expressed values were rare and domains identified through a place-based approach were often not recorded, but, arguably, critical in developing multidimensionality of farmer well-being. We show that while the translocal approach is well represented in established well-being frameworks, farmer expression is not foundational in well-being assessments but is needed in order to center farmer values when generating indicators of well-being.</p></div>","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":"44 4","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13593-024-00971-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141597257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Productivity and biological N2-fixation in cereal-cowpea intercropping systems in sub-Saharan Africa. A review","authors":"Talent Namatsheve,&nbsp;Rémi Cardinael,&nbsp;Marc Corbeels,&nbsp;Regis Chikowo","doi":"10.1007/s13593-024-00969-1","DOIUrl":"10.1007/s13593-024-00969-1","url":null,"abstract":"","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":"44 4","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141584339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}