European Journal of Agronomy最新文献

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Capsular attention Conv-LSTM network (CACN): A deep learning structure for crop yield estimation based on multispectral imagery 囊状注意力 Conv-LSTM 网络 (CACN):基于多光谱图像的作物产量估算深度学习结构
IF 4.5 1区 农林科学
European Journal of Agronomy Pub Date : 2024-09-28 DOI: 10.1016/j.eja.2024.127369
Seyed Mahdi Mirhoseini Nejad , Dariush Abbasi-Moghadam , Alireza Sharifi , Aqil Tariq
{"title":"Capsular attention Conv-LSTM network (CACN): A deep learning structure for crop yield estimation based on multispectral imagery","authors":"Seyed Mahdi Mirhoseini Nejad ,&nbsp;Dariush Abbasi-Moghadam ,&nbsp;Alireza Sharifi ,&nbsp;Aqil Tariq","doi":"10.1016/j.eja.2024.127369","DOIUrl":"10.1016/j.eja.2024.127369","url":null,"abstract":"<div><div>Precise prediction of agricultural production output is crucial for farmers, policymakers, and the Farming-related industry. This article introduces a novel methodology to crop yield forecasting using a capsular neural network equipped with Conv-LSTM and attention mechanism. Our model combines the strengths of 3DCNN, and Conv-LSTM, which can capture the temporal dependencies and 3D features of crop yield data, and attention mechanism, which Can prioritize the most significant characteristics for making predictions. We evaluated CACN on a sizable collection of data of soybean crop yield in the United States from 2003 to 2019 and evaluated against various cutting-edge deep learning models. The outcomes indicate that our suggested approach surpasses other models in performance in terms of RMSE, correlation coefficient, and prediction error map. Specifically, our model achieved approximately 14 % improvement in terms of RMSE, compared to the state-of-the-art model Deep-Yield. Our model also demonstrated the ability to extract more meaningful features and capture the complex relationships between crop yield data and meteorological variables. Overall, our proposed method shows great potential for accurate and efficient crop yield forecasting and can be applied to other crops and regions.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"161 ","pages":"Article 127369"},"PeriodicalIF":4.5,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359002","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}
引用次数: 0
Atmospheric CO2 fertilization effect on cereal yields in Morocco using the CARAIB dynamic vegetation model. 利用 CARAIB 动态植被模型分析大气二氧化碳施肥对摩洛哥谷物产量的影响。
IF 4.5 1区 农林科学
European Journal of Agronomy Pub Date : 2024-09-27 DOI: 10.1016/j.eja.2024.127374
Iliass Loudiyi , Ingrid Jacquemin , Mouanis Lahlou , Riad Balaghi , Bernard Tychon , Louis François
{"title":"Atmospheric CO2 fertilization effect on cereal yields in Morocco using the CARAIB dynamic vegetation model.","authors":"Iliass Loudiyi ,&nbsp;Ingrid Jacquemin ,&nbsp;Mouanis Lahlou ,&nbsp;Riad Balaghi ,&nbsp;Bernard Tychon ,&nbsp;Louis François","doi":"10.1016/j.eja.2024.127374","DOIUrl":"10.1016/j.eja.2024.127374","url":null,"abstract":"<div><div>Climate change and rising atmospheric CO<sub>2</sub> levels are critical factors influencing agricultural productivity, particularly in Morocco, where cereal crops are essential for food security. The primary objective of this study is to evaluate the combined effects of atmospheric CO<sub>2</sub> variations and climatic changes on cereal yields up to 2099 using the CARAIB dynamic vegetation model. This evaluation is driven by four future scenarios based on the Euro-CORDEX initiative's regional climate models under the Representative Concentration Pathway 8.5. As part of this evaluation, the study also validates the CARAIB model for Morocco’s major cereal crops: soft wheat, durum wheat, and barley, in order to ensure the model's accuracy in simulating crop responses under projected environmental conditions. The CARAIB model effectively simulated historical cereal yield trajectories across major farming regions in Morocco from 2000 to 2016, demonstrating its robust predictive capability. Our future projections suggest that elevated CO<sub>2</sub> levels might initially sustain cereal yields at approximately 90 % of current levels until 2050. This trend indicates that the increase in atmospheric CO<sub>2</sub> may exert a moderating influence on the negative impacts of other environmental stressors on crop yields. However, despite this initial buffering effect, the overall yield trend from the present until 2099 indicates a decrease for most combinations of crop, zone, and climate model, even with the CO<sub>2</sub> fertilization effect, except in some cases, the model exhibits slight increases or stabilization in yields. Additionally, the CARAIB model predicts potential yield shocks of 10–35 % below current levels from the 2080 s onwards, primarily due to periodic droughts. This variation underscores the complexity of the interplay between CO<sub>2</sub> fertilization and climatic changes, emphasizing the urgent need for Morocco to develop adaptive agricultural strategies for long-term sustainability in the face of climatic challenges.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"161 ","pages":"Article 127374"},"PeriodicalIF":4.5,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142326871","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}
引用次数: 0
Grazing and precipitation addition interactions alleviate dominant species overgrowth and promote community productivity and biodiversity in a typical steppe 放牧和降水的相互作用缓解了典型草原上优势物种的过度生长,提高了群落生产力和生物多样性
IF 4.5 1区 农林科学
European Journal of Agronomy Pub Date : 2024-09-25 DOI: 10.1016/j.eja.2024.127370
Xiaojuan Huang , Meiyue He , Lan Li , Zhaoxia Guo , Fujiang Hou
{"title":"Grazing and precipitation addition interactions alleviate dominant species overgrowth and promote community productivity and biodiversity in a typical steppe","authors":"Xiaojuan Huang ,&nbsp;Meiyue He ,&nbsp;Lan Li ,&nbsp;Zhaoxia Guo ,&nbsp;Fujiang Hou","doi":"10.1016/j.eja.2024.127370","DOIUrl":"10.1016/j.eja.2024.127370","url":null,"abstract":"<div><div>Grazing and precipitation are pivotal factors influencing the productivity and biodiversity of grassland ecosystems, largely through their effects on the growth and reproduction of dominant species. Approximately 50 % of terrestrial ecosystems are concurrently affected by grazing and precipitation addition (PA), yet the interactive effects of these factors remain underexplored. To elucidate the combined impacts of grazing and PA on the growth of dominant species and their influence on community structure and function, we initiated a four-year combined grazing and PA experiment based on a long term of grazing experiment in a typical steppe. The synergistic interaction between PA and grazing enhanced canopy diameter (CD), tiller density (TD), and seedling density (SD) in dominant species, while decreasing reproductive branch density (RB). Conversely, an antagonistic interaction increased plant height (PH) and TD but reduced SD. These responses suggest that dominant species adapt to combined grazing and PA pressures by shifting growth strategies towards lateral growth and asexual reproduction. The growth characteristics of dominant species exhibited four response patterns to grazing and PA interactions: full saturation, sufficient saturation, equal saturation, and deficit saturation, each with three corresponding thresholds: adaptation, optimum, and saturation points. Grazing decreased the precipitation response thresholds for PH, CD, RB, and population density, while increasing the optimal points for TD and SD. These changes in the growth of the dominant species resulted in a 33 % reduction in the aboveground biomass (AGB) of the community and triggered a 18 % increase in the coupling index between AGB and species richness within the community. Our findings highlight the role of dominant species in facilitating community adaptation to increased precipitation and rotational grazing, offering critical insights for developing sustainable grazing strategies under climate change.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"161 ","pages":"Article 127370"},"PeriodicalIF":4.5,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319953","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}
引用次数: 0
Efficient crop segmentation net and novel weed detection method 高效作物分割网和新型杂草检测方法
IF 4.5 1区 农林科学
European Journal of Agronomy Pub Date : 2024-09-24 DOI: 10.1016/j.eja.2024.127367
Xiaotong Kong , Teng Liu , Xin Chen , Xiaojun Jin , Aimin Li , Jialin Yu
{"title":"Efficient crop segmentation net and novel weed detection method","authors":"Xiaotong Kong ,&nbsp;Teng Liu ,&nbsp;Xin Chen ,&nbsp;Xiaojun Jin ,&nbsp;Aimin Li ,&nbsp;Jialin Yu","doi":"10.1016/j.eja.2024.127367","DOIUrl":"10.1016/j.eja.2024.127367","url":null,"abstract":"<div><div>Computer vision-based precision weed control offers a promising avenue for reducing herbicide input and the associated costs of weed management. However, the substantial investments in time and labor required for the collection and annotation of weed image data pose challenges to develop effective deep learning models. The limitation also stems from the challenges in achieving accurate and reliable detection of weeds across varying growth stages, densities, and ecotypes in field scenarios. To address these issues, this research investigated a novel methodology employing a segmentation algorithm to accurately mark the contour information of crops in the image and detect weeds through image processing technology. Furthermore, a novel segmentation network was developed based on the YOLO architecture to address the substantial computing resource demands associated with segmentation algorithms. This was achieved through the design of a new backbone, incorporation of an attention mechanism, and modification of the feature fusion technique. The novel network achieved higher segmentation accuracy with less computational demands. The effectiveness of three different attention modules on segmentation tasks was additionally investigated. Experimental results showed that the insertion of Criss-cross Attention significantly improved the model's performance and was subsequently incorporated into our enhanced methodology. The enhanced model achieved a Mean Intersection over Union (mIoU50) of 90.9 %, with precision increasing by 5.9 % and Giga FLoating-point Operations Per Second (GFLOPs) reduced by 15.56 %, demonstrating enhanced suitability for deployment in resource-constrained computing environments. The findings presented in this study hold substantial theoretical and practical implications for precise weed management.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"161 ","pages":"Article 127367"},"PeriodicalIF":4.5,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142315503","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}
引用次数: 0
Enhancing soil moisture estimation in alfalfa root-zone using UAV-based multimodal remote sensing and deep learning 利用无人机多模态遥感和深度学习加强苜蓿根区土壤水分估算
IF 4.5 1区 农林科学
European Journal of Agronomy Pub Date : 2024-09-23 DOI: 10.1016/j.eja.2024.127366
Liubing Yin, Shicheng Yan, Meng Li, Weizhe Liu, Shu Zhang, Xinyu Xie, Xiaoxue Wang, Wenting Wang, Shenghua Chang, Fujiang Hou
{"title":"Enhancing soil moisture estimation in alfalfa root-zone using UAV-based multimodal remote sensing and deep learning","authors":"Liubing Yin,&nbsp;Shicheng Yan,&nbsp;Meng Li,&nbsp;Weizhe Liu,&nbsp;Shu Zhang,&nbsp;Xinyu Xie,&nbsp;Xiaoxue Wang,&nbsp;Wenting Wang,&nbsp;Shenghua Chang,&nbsp;Fujiang Hou","doi":"10.1016/j.eja.2024.127366","DOIUrl":"10.1016/j.eja.2024.127366","url":null,"abstract":"<div><div>Accurate estimation of soil moisture content (SMC) is essential for optimizing irrigation schedules and identifying drought-tolerant varieties. The integration of unmanned aerial vehicles (UAVs) with advanced sensors provides a novel method for monitoring SMC with high flexibility, resolution, and performance. This study utilized UAVs to capture RGB, multispectral, and thermal imagery of alfalfa (<em>Medicago sativa</em> L.) at the Linze Grassland Agricultural Experiment Station, Lanzhou University, and to evaluate the potential of fusing multimodal UAV data for SMC estimation in the root zone of densely and uniformly distributed leafy plants, using alfalfa as a case study, within a deep learning framework. Results showed that combining multimodal data—encompassing canopy spectral, structural, thermal, and textural information—significantly improved SMC estimation accuracy. Among the four regression models evaluated—partial least squares (PLSR), support vector machine (SVM), random forest (RF), and deep neural network (DNN)—the DNN model achieved the highest accuracy in overall multimodal data fusion, with a coefficient of determination (<em>R</em><sup>2</sup>) of 0.72 and a root mean square error (RMSE) of 4.98%. It demonstrated good predictive performance for both full and deficit irrigation scenarios, with <em>R</em><sup>2</sup> values of 0.74 and 0.75, respectively. The DNN model also provided reliable SMC estimates across the three alfalfa canopy types, with <em>R</em><sup>2</sup> values of 0.72, 0.74, and 0.58, respectively. Moreover, it exhibited superior accuracy under both irrigation regimes and demonstrated strong spatial adaptability, characterized by low spatial dependence and autocorrelation. In conclusion, the DNN model based on UAV-derived multimodal data fusion offers a reliable and robust approach for SMC estimation, providing valuable insights for irrigation management at farmland-scale.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"161 ","pages":"Article 127366"},"PeriodicalIF":4.5,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142311436","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}
引用次数: 0
Optimal magnesium management for better seed yield and quality of rapeseed based on native soil magnesium supply 基于原生土壤镁供应量,优化镁管理,提高油菜籽产量和质量
IF 4.5 1区 农林科学
European Journal of Agronomy Pub Date : 2024-09-20 DOI: 10.1016/j.eja.2024.127364
Guotao Geng , Xiaolei Ye , Tao Ren , Yangyang Zhang , Xiaokun Li , Rihuan Cong , Ismail Cakmak , Zhifeng Lu , Jianwei Lu
{"title":"Optimal magnesium management for better seed yield and quality of rapeseed based on native soil magnesium supply","authors":"Guotao Geng ,&nbsp;Xiaolei Ye ,&nbsp;Tao Ren ,&nbsp;Yangyang Zhang ,&nbsp;Xiaokun Li ,&nbsp;Rihuan Cong ,&nbsp;Ismail Cakmak ,&nbsp;Zhifeng Lu ,&nbsp;Jianwei Lu","doi":"10.1016/j.eja.2024.127364","DOIUrl":"10.1016/j.eja.2024.127364","url":null,"abstract":"<div><p>Soil magnesium (Mg) deficiency is a common problem in many crop plants including rapeseed (<em>Brassica napus</em> L.), resulting in significant impairments in seed yield and quality. However, precise application approaches and technologies used for Mg fertilization are still not well established for rapeseed plants grown under field conditions. A better understanding and characterization of the relationship between soil Mg supply and yield response of plants is of great importance for appropriate Mg fertilization management. This study used large-scale experiments to (i) establish a criterion for soil extractable Mg (ex-Mg) in rapeseed-cultivated soils, (ii) evaluate the role of Mg in improving rapeseed yield and quality under contrasting soil ex-Mg status and (iii) optimize Mg fertilization programs based on native soil Mg supply. A large-scale field study program comprising of 56 rapeseed field trials, each with five Mg application levels (0, 9, 18, 27, 36 kg Mg ha<sup>−1</sup>), was conducted in 13 provinces of China to investigate the effects of soil Mg status on rapeseed yield and quality. A soil ex-Mg criteria system was established to optimize Mg fertilization of rapeseed plants based on yield responses and soil ex-Mg levels. The critical soil ex-Mg for rapeseed was found to be 200 mg kg<sup>−1</sup>, and seed yield was increased by more than 5 % after adding Mg fertilizers in over 85 % of the experimental trials. In case of severe Mg deficiency (ex-Mg &lt; 70 mg kg<sup>−1</sup>), Mg fertilization improved seed yield by about 40 % and this increase was closely related to the number of pods per plant and seeds per pod. When soil ex-Mg concentration was above 70 mg kg<sup>−1</sup>, the increments of seed yield by Mg fertilization were diminished. Magnesium fertilization also improved seed oil and oleic acid concentrations of plants grown on severe Mg-depleted soils. The average recommended Mg rate was 23.2 kg Mg ha<sup>−1</sup> under severe soil Mg deficiency conditions, which then showed decreases as the soil ex-Mg increases. Besides soil ex-Mg, soil pH, the soil Ca<sup>2+</sup> and K<sup>+</sup> concentrations as well as the yield capacity of plants were further factors affecting the agronomic effectiveness of Mg fertilization on crop yield and Mg application rates. For example, seed yield significantly increased in response to Mg fertilization under high soil K/Mg (&gt;2) and Ca/Mg (&gt;20) ratios. The results collected from 56 field experiments indicate that soil ex-Mg level is a critical factor in determining Mg application rates in rapeseed-cultivated soils, and represents an important factor involved in varied response of rapeseed plants in respect to seed yield and quality. The study highlights the significance of soil ex-Mg levels and optimization of Mg recommendations in achieving improvements in seed yield and quality of rapeseed plants grown under diverse native ex-Mg levels.</p></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"161 ","pages":"Article 127364"},"PeriodicalIF":4.5,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272503","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}
引用次数: 0
Effect of climate, crop, and management on soil phosphatase activity in croplands: A global investigation and relationships with crop yield 气候、作物和管理对农田土壤磷酸酶活性的影响:全球调查及与作物产量的关系
IF 4.5 1区 农林科学
European Journal of Agronomy Pub Date : 2024-09-20 DOI: 10.1016/j.eja.2024.127358
Patrícia Campdelacreu Rocabruna , Xavier Domene , Catherine Preece , Marcos Fernández-Martínez , Joan Maspons , Josep Peñuelas
{"title":"Effect of climate, crop, and management on soil phosphatase activity in croplands: A global investigation and relationships with crop yield","authors":"Patrícia Campdelacreu Rocabruna ,&nbsp;Xavier Domene ,&nbsp;Catherine Preece ,&nbsp;Marcos Fernández-Martínez ,&nbsp;Joan Maspons ,&nbsp;Josep Peñuelas","doi":"10.1016/j.eja.2024.127358","DOIUrl":"10.1016/j.eja.2024.127358","url":null,"abstract":"<div><p>Agricultural and livestock production cover more than a third of the Earth's land surface and are crucial to food supply. Soil extracellular enzymes play an important role in the transformation of elements and compounds in soil, particularly acid (ACP) and alkaline (ALP) phosphatases (both, APases). These enzymes have a vital role in releasing phosphorus (P) from organic matter. However, the effect of climate variables and agro-ecosystem management on APase activity in croplands remains unclear, as does its eventual relationship with agricultural productivity. Therefore, we compiled a global database of APase activity in croplands (between 1977 and 2022) and we analysed 5876 observations across 474 papers to study climate variables, crop family, and management effects on ACP and ALP activity, and their relationship with yield. ACP activity is reduced by higher temperatures (p&lt;0.001) and lower rainfall (p=0.002). There was an interaction effect of temperature and precipitation on ALP activity (p=0.046), with the negative effect of temperature being stronger with high precipitation, and low precipitation showing low ALP activity levels at any temperature. The crop family greatly influenced APase activity (p&lt;0.001). Management practices affected ACP and ALP activity differently; ACP activity was positively influenced by organic fertilization combined with, crop rotation or irrigation by an average of 15.6 % and 30.7 %, respectively. ALP activity was mainly positively influenced by the interaction of two different factors: organic or inorganic-organic fertilization and reduced or zero tillage. Further understanding of soil enzyme mechanisms would aid global food security and yield. As ACP activity doubles from 100.0 to 200.0 mg pNP kg<sup>−1</sup>h<sup>−1</sup>, the crop yield increases by more than two-fold, an outcome not demonstrated in croplands until now. These results could enhance yield potential through the promotion of APase activity, and the consideration of climate variables and agro-ecosystem management, which could ultimately improve cost-benefit ratios for sustainable crop growth.</p></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"161 ","pages":"Article 127358"},"PeriodicalIF":4.5,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S116103012400279X/pdfft?md5=f14c9c21b075a3b0c4616bd47cbbabf6&pid=1-s2.0-S116103012400279X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272504","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}
引用次数: 0
Potential use of phosphorus saturation degree as combined indicator for crop yield and leaching risks at regional scale 将磷饱和度作为区域范围内作物产量和沥滤风险综合指标的潜力
IF 4.5 1区 农林科学
European Journal of Agronomy Pub Date : 2024-09-19 DOI: 10.1016/j.eja.2024.127347
Yu Gu , Gerard H. Ros , Qichao Zhu , Maarten van Doorn , Jianbo Shen , Zejiang Cai , Minggang Xu , Wim de Vries
{"title":"Potential use of phosphorus saturation degree as combined indicator for crop yield and leaching risks at regional scale","authors":"Yu Gu ,&nbsp;Gerard H. Ros ,&nbsp;Qichao Zhu ,&nbsp;Maarten van Doorn ,&nbsp;Jianbo Shen ,&nbsp;Zejiang Cai ,&nbsp;Minggang Xu ,&nbsp;Wim de Vries","doi":"10.1016/j.eja.2024.127347","DOIUrl":"10.1016/j.eja.2024.127347","url":null,"abstract":"<div><p>To ensure the sustainable use of phosphorus (P) fertilizers it is necessary to develop P management strategies that maximize crop yield while minimizing P leaching. Current P management practices, based on single agronomic soil P tests such as Olsen P (P<sub>OLSEN</sub>), do not consider the P sorption capacity allowing one to predict soil P dynamics in response to long-term P inputs and related impacts on crop yield, P uptake and P loss. The oxalate extraction method, measuring contents of P, aluminium (Al) and iron (Fe), has been identified as a high-potential agri-environmental P test as it measures the reversibly sorbed P pool. This test gives insights in the plant-available P pool, the P sorption capacity and the degree of P Saturation (PSD). In this study, we evaluated the performance of P<sub>OLSEN</sub> and PSD in explaining crop yield and P leaching risks, using long-term field experiments from China (n = 1) and Europe (n = 11), and we applied these insights to an inventory dataset (grid-sampling based) of Qiyang county in China. The variations in crop yield and P leaching risk were better explained by PSD (R<sup>2</sup>=0.5–0.95 for crop yield and 0.84–0.95 for P leaching risk) than by P<sub>OLSEN</sub> (R<sup>2</sup>=0.68–0.93 for crop yield and &lt; 0.73 for P leaching risk). The PSD target level to achieve 90 % of the potential yield was higher than the critical level to avoid enhanced P leaching for the Chinese but not for the European experiments. When applied on regional scale, we showed that the use of P<sub>OLSEN</sub> might underestimate P demand for crop production and overestimate the potential leaching risk. Considering the theoretical advantages of PSD as a combined agri-environmental soil P test, we discussed the implications of its use for regional P management and showed that the α value, which is used to estimate PSD from oxalate extractable Al and Fe, needs to be adjusted for regional pedogenic and related climate factors.</p></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"161 ","pages":"Article 127347"},"PeriodicalIF":4.5,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272501","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}
引用次数: 0
Scientometric analysis of cover crop management: Trends, networks, and future directions 覆盖作物管理的科学计量分析:趋势、网络和未来方向
IF 4.5 1区 农林科学
European Journal of Agronomy Pub Date : 2024-09-19 DOI: 10.1016/j.eja.2024.127355
Raúl San-Juan-Heras , José L. Gabriel , María M. Delgado , Sergio Alvarez , Sara Martinez
{"title":"Scientometric analysis of cover crop management: Trends, networks, and future directions","authors":"Raúl San-Juan-Heras ,&nbsp;José L. Gabriel ,&nbsp;María M. Delgado ,&nbsp;Sergio Alvarez ,&nbsp;Sara Martinez","doi":"10.1016/j.eja.2024.127355","DOIUrl":"10.1016/j.eja.2024.127355","url":null,"abstract":"<div><p>This research paper presents a comprehensive scientometric analysis of English articles from the Scopus database regarding the topic of cover crop management from 1956 to March 2024. Through the analysis of the annual production trend, total production, a co-occurrence network of keywords, co-authorship networks, and co-citation networks, the data was mapped and visualized using VOSviewer and Bibliometrix software. There was an exponential increase in publications from 1991 onwards. The predominant subject was Agricultural and Biological Sciences and the most relevant journals, authors, and documents were related to this topic. Additionally, the most productive country was the United States, but in terms of article production per surface area, other countries, such as Switzerland and The Netherlands, evidence the great weight of cover crop management in these countries. The identified research topics were related to the application of different crops as cover crops and the effects on different cultivars, also soil quality improvement, and fertilization and nutrient efficiency. An emerging research topic was found to be the usefulness of cover crops as effective tools for climate change adaptation and mitigation strategies in agriculture. Future research in the field of cover crop management could be directed towards climate-adaptive cover crop species and varieties, the use of technological innovations for cover crop monitoring, and management and analysis of the economic and social impacts of cover crop adoption.</p></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"161 ","pages":"Article 127355"},"PeriodicalIF":4.5,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1161030124002764/pdfft?md5=f03b45cc39b1c0ddb709a42f67e6677e&pid=1-s2.0-S1161030124002764-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272500","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}
引用次数: 0
Soil microbiome regulates community functions when using biochar-based fertilizers made from biodegradable wastes 使用由可生物降解废物制成的生物炭基肥料时,土壤微生物群调节群落功能
IF 4.5 1区 农林科学
European Journal of Agronomy Pub Date : 2024-09-19 DOI: 10.1016/j.eja.2024.127363
Jiajia Xing , Caixian Tang , Rui Xu , Junhui Chen , Liyuan Peng , Hua Qin
{"title":"Soil microbiome regulates community functions when using biochar-based fertilizers made from biodegradable wastes","authors":"Jiajia Xing ,&nbsp;Caixian Tang ,&nbsp;Rui Xu ,&nbsp;Junhui Chen ,&nbsp;Liyuan Peng ,&nbsp;Hua Qin","doi":"10.1016/j.eja.2024.127363","DOIUrl":"10.1016/j.eja.2024.127363","url":null,"abstract":"<div><p>The disposal of biodegradable materials, particularly fruits and vegetables, has emerged as a critical environmental concern. Recycling the components of such wastes is paramount to preserving the natural environment. Incorporating biochar-based fertilizer (BCF) in agricultural practices can boost soil nutrient levels. Nevertheless, the effects of BCF derived from fruit and vegetable wastes on crops and soil microbiomes remain unclear. This study aimed to examine the ecological influences of substituting chemical fertilizers (CF) with BCF and organic fertilizer (OF) at three ratios based on a 3-year-maize-field experiment. The findings revealed that BCF substitution enhanced plant growth and community function comparable to that achieved with OF, with the optimum substitution ratio being 2 BCF: 1 CF. BCF and OF promoted maize yield by 23<img>41 % and 23<img>39 %, compared to the CF treatment. The BCF and OF substitution strongly increased the microbial diversity regardless of ratios. And BCF substitution increased carbon- and nitrogen-use efficiency by 32<img>88 % and 53<img>105 %. Particularly, the soil nutrient indexes which driven the community assembly variation to be more stochastic, and relevant key species was closely associated with maize yield and nutrient utilization. Thus, biodegradable wastes could be recycled as fertilizers, paving the way for more sustainable agricultural practices.</p></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"161 ","pages":"Article 127363"},"PeriodicalIF":4.5,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272502","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}
引用次数: 0
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