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Prediction of winter wheat nitrogen status using UAV imagery, weather data, and machine learning Eur. J. Agron. (IF 4.5) Pub Date : 2025-02-04 Takashi S.T. Tanaka, René Gislum
The critical nitrogen dilution curve (CNDC) and associated nitrogen nutrition index (NNI) are known to provide valuable information indicating whether the crops are experiencing luxury nitrogen (N) uptake—where they absorb more N than needed for optimal growth— or suffering from N insufficiency, where they fail to meet their optimal growth requirements. The aim of this study was to explore the potential
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Pre- and post-anthesis dry matter and nutrient accumulation, partitioning, remobilization and crop productivity of maize under the long-term integrated crop management practices Eur. J. Agron. (IF 4.5) Pub Date : 2025-02-04 Anamika Barman, Vijay Pooniya, R.R. Zhiipao, Niraj Biswakarma, Dinesh Kumar, Kajal Das, Y.S. Shivay, S.S. Rathore, Nilutpal Saikia, Santanu Kundu, Arjun Singh, M.C. Meena, Arti Bhatia, Suman Dutta
Integrated crop management (ICM) practices play a critical role in enhancing the maize’s physiological growth, optimizing the dry matter and nutrients’ acquisition coupled with increased productivity. The effect of these comprehensive long-term ICM practices was investigated on the growth and physiological characteristics, dry matter and nutrient accumulation, partitioning and remobilization, productivity
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Bayesian calibration of management practices for a crop model implemented in a subsistence farming region Eur. J. Agron. (IF 4.5) Pub Date : 2025-02-04 Diego Quintero, Vikalp Mishra, Ashutosh S. Limaye, Nicole Van Abel, Julius Bright Ross, Arif Rashid
Rainfed agriculture is crucial for food security in sub-Saharan Africa, yet it faces significant challenges from climate variability, soil degradation, and limited access to resources. Process-based crop models are widely used in agricultural research as well as in decision support systems. These systems play an important role in aiding policymakers in designing and implementing strategies to enhance
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Impact of fertilizer applications on grain and vegetable crops in smallholder Mixed Crop-Livestock (MCL) systems in West Africa Eur. J. Agron. (IF 4.5) Pub Date : 2025-02-03 Albert Berdjour, Amit Kumar Srivastava, Safiétou Sanfo, Bocar Ahamadou, Frank Ewert, Thomas Gaiser
Mixed crop-livestock (MCL) systems can enhance crop yield, and improve nutrient cycling while reducing chemical fertilizer use. However, only a limited number of studies that reported this assumption were conducted under real-world conditions of small-scale farmers or followed an integrated approach. A survey was conducted in the 2021/2022 and 2022/2023 cropping seasons in Ghana and Burkina Faso, respectively
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Seasonal allocation of dry matter and nitrogen in Th. intermedium across stand ages Eur. J. Agron. (IF 4.5) Pub Date : 2025-02-02 L. Fagnant, P. Aubry, O. Duchene, J.M. Jungers, B. Dumont
Thinopyrum intermedium is currently proposed as a perennial grain for both forage and grain production. Undergoing domestication, its grain yields are low, while its long-lasting organs are ensuring environmental benefits. However, understanding the resource allocation dynamics of Th. intermedium is needed. Dry matter (DM) and nitrogen (N) allocations within the different plant parts were quantified
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Plow tillage with buried straw increases maize yield by regulating soil properties, root growth, photosynthetic capacity, and bacterial community assembly in semi-arid black soil farmlands Eur. J. Agron. (IF 4.5) Pub Date : 2025-02-01 Yao Xiao, Wenqi Luo, Kejun Yang, Jian Fu, Peng Wang
Combined plow tillage and buried straw sustainably increases maize yields. However, how it regulates the temporal and spatial-temporal dynamics of soil properties, maize growth, and bacterial community assembly in semi-arid black soil agricultural fields remains unclear. Therefore, we aimed to evaluate the changes in soil properties, root growth, photosynthetic capacity, and bacterial assembly and
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CSWin-MBConv: A dual-network fusing CNN and Transformer for weed recognition Eur. J. Agron. (IF 4.5) Pub Date : 2025-02-01 Jinrong Cui, Youliu Zhang, Hao Chen, Yaoxuan Zhang, Hao Cai, Yu Jiang, Ruijun Ma, Long Qi
Accurately acquiring the weed category information is a crucial and indispensable step for effective field management. However, most of weed recognition techniques mainly rely on either pure Convolutional Neural Network (CNN) or Transformer architectures. CNNs excel at extracting local features but struggle to capture global representations. On the other hand, Transformers can capture long-distance
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Crop yield and soil quality of soya bean-maize rotation in response to 8-year keep stubble with no tillage practices on the Northeast China Eur. J. Agron. (IF 4.5) Pub Date : 2025-02-01 Weijian Zhang, Jingyi Feng, Xueyan Bai, Wanying He, Jixian Mo, Qiance Gao, Kunjie Wang, Siyu Gu
Conservation tillage helps maintain soil structure, reduces erosion and improves water retention, while little is known about the drivers for the improvement of crop yield. To explored the key mechanisms responsible for enhancing crop yields, we set up two conventional tillage practices (DT: Deep tillage 30 cm, SRT: shallow rotary tillage 15 cm) and two conservation tillage practices (NT: The straw
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Nutrients’ critical level propositions and sufficiency ranges aimed at high apple yield under subtropical climate Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-29 Talita Trapp, Jean Michel Moura-Bueno, Gustavo Nogara de Siqueira, Leandro Hahn, Danilo Eduardo Rozane, Antonio João de Lima Neto, William Natale, Arcângelo Loss, Gustavo Brunetto
Apple yield can be maximized through balanced nutritional management of orchards. This can be achieved by defining nutritional standards and nutrient reference values through multivariate database analysis. The objectives of the study were: i) to set and compare apple trees’ nutritional standards based on the Diagnosis and Recommendation Integrated System (DRIS) and on the Composition Nutritional Diagnosis
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Assessing the impact of climate variability on Australia’s sugarcane yield in 1980–2022 Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-28 Shijin Yao, Bin Wang, De Li Liu, Siyi Li, Hongyan Ruan, Qiang Yu
Sugarcane is an important crop for global food and energy production. However, its production is greatly affected by inter-annual climate variations in major production regions. While previous studies have assessed climate impacts on sugarcane yield at individual sites, a regional-scale understanding of the climate-yield relationship remains unclear. Here, we collected historical sugarcane yields (1980–2022)
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Integrated forage system reduces off-farm purchased nitrogen and limit surplus on intensive dairy farms in northern Italy Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-26 Francesco Ferrero, Ernesto Tabacco, Gabriele Rolando, Giorgio Borreani
Intensive dairy farming relies on large inputs of N fertilizer and on the off-farm nitrogen to sustain a high milk output per hectare, which leads to an overuse of N, and to a reduction of Nitrogen Use Efficiency (NUE). This multiyear study aims to verify, through a Living Lab approach, on two commercial dairy farms in the Northern Italy, the effect of planning and managing of a forage system on N
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A study on optimal input images for rice yield prediction models using CNN with UAV imagery and its reasoning using explainable AI Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-26 Tomoaki Yamaguchi, Taiga Takamura, Takashi S.T. Tanaka, Taiichiro Ookawa, Keisuke Katsura
Rice is the world's most consumed staple food crop and there is a need to increase its yield in terms of food security. Understanding rice yields is important for farmers and national decision-making, and is critical for increasing yields. Remote sensing and machine learning have improved the accuracy and efficiency of yield monitoring. In particular, the combination of unmanned aerial vehicles (UAV)
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Novel termination techniques of winter cover crops in the vineyard: Effects on physiology and performance of Pinot Noir and Malvasia di Candia aromatica grapevines Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-24 Leonardo Cunial, Irene Diti, Paolo Bonini, Rachele Patelli, Matteo Gatti, Gabriele Cola, Massimiliano Bordoni, Thi Ngoc Anh Nguyen, Claudia Meisina, Roberto Confalonieri, Livia Paleari, Stefano Poni
A current significant vineyard challenge is how other-than tillage soil management solutions can be implemented without incurring in major competition for water and nutrients with the consociated grapevines. Therefore, a three-year study was carried at two hilly sites (Sartori and Ottina) in Northern Italy to evaluate the impact of two novel winter cover crop terminations (interrow rolling, R, and
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Rice-edible mushroom Stropharia rugosoannulata rotation mitigates net global warming potential while enhancing soil fertility and economic benefits Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-22 Quanyi Hu, Jun Yang, Zhanpeng Chen, Xuelin Zhang, Chengfang Li
The economic benefits of rice–wheat (RW) and rice–oilseed rape (RO) rotation in China are low. By contrast, the rice–edible mushroom Stropharia rugosoannulata (RE) rotation yields significantly higher economic benefits than RW and RO rotations. Furthermore, RE rotation can avoid air pollution caused by rice straw burning and has been widely adopted in China. Nevertheless, it remains unclear how the
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Phenolic content and profile of olive fruits: Impact of contrasting thermal regimes in non-Mediterranean growing environments Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-21 Pierluigi Pierantozzi, Mariela Torres, Cibeles Contreras, Vitale Stanzione, Martín Tivani, Luciana Gentili, Valerio Mastio, Peter Searles, Magdalena Brizuela, Fabricio Fernández, Alejandro Toro, Carlos Puertas, Eduardo Trentacoste, Juan Kiessling, Marina Bufacchi, Fiammetta Alagna, Ornella Calderini, María Cristina Valeri, Luciana Baldoni, Damián Maestri
The content of phenolic compounds in olive fruits is a matter of interest, not only because of their contribution to olive oil quality but also to their beneficial effects on human health. While some studies mention genetic and agronomic factors affecting the olive fruit phenolic composition, there is still a lack of information on the role of the environmental growth temperature. This study addresses
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Periodic straw-derived biochar improves crop yield, sequesters carbon, and mitigates emissions Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-20 Feng Chang, Shanchao Yue, Shuai Li, Hui Wang, Yafei Chen, Wenjia Yang, Bingyan Wu, Haini Sun, Shiwen Wang, Lina Yin, Xiping Deng
Increasing soil carbon sequestration is one of the main measures to mitigate greenhouse gas (GHG) emissions in agricultural systems, and straw-derived biochar returning has the potential to increase soil carbon sequestration and crop yield, mitigate GHG emissions, but its application is largely restricted due to the high input. It remains unclear whether periodic application of straw-derived biochar
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Long-term legacy impacts of nitrogen fertilization on crop yield, nitrate accumulation, and nitrogen recovery efficiency Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-20 Shuang Lei, Sajjad Raza, Annie Irshad, Yun Jiang, Ahmed Salah Elrys, Zhujun Chen, Jianbin Zhou
Inefficient nitrogen (N) utilizing cropping systems add substantial amount of unconsumed N fertilizer in the soil profile as residual N. High nitrate accumulation in the soil profile is detrimental to soil health and significantly contributes to groundwater pollution. This study investigated the long-term fate of residual N in the deep soil profile, including its contributions to crop yield and nitrogen
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Tracking ideal varieties for agroecological weed management in organic wheat. A simulation study Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-20 Pierre Lebreton, Delphine Moreau, Rémi Perronne, Nathalie Colbach
Even though weeds are recognized as one of the main causes of yield losses in organic crop production, breeding for varietal competitiveness is still rare. The objective of the present study was to run simulations with the mechanistic crop-weed model FlorSys to identify (1) variety-intrinsic parameters that make organic wheat (Triticum aestivum L.) more competitive against weeds in organic conditions
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Sorghum leaves more residue with a higher decomposition rate than maize Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-19 Gonzalo Parra, Lucas Borras, Brenda L. Gambin
Crop residue is an important component of the sustainability of agricultural production systems, and field comparative studies of residue decomposition across species and management practices are rare. Maize and sorghum are summer cereal options that compete for their acreage and are known to have contrasting harvest index. Our objective was to explore changes in residue amount, quality (assessed by
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Predicting the nitrogen content of mediterranean forage crops: A remote sensing approach Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-18 Antonio Pulina, Davide Cammarano, Francesca Piseddu, Lisa Deiana, Alberto Sassu, Alessandro Deidda, Filippo Gambella, Giovanna Seddaiu, Pier Paolo Roggero
Remote sensing with Unpiloted Aerial Systems can provide information on the Nitrogen status of forage crops more quickly than destructive sampling techniques, which are not compliant with the need for fast and sustainable methodologies to support farmers’ decisions on livestock feeding. The study aimed to assess a remote sensing algorithm based on the Canopy Chlorophyll Content Index (CCCI) and the
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Sulfur fertilization contribute to China’s food security: A meta-analysis Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-18 Zhenya Lu, Siwen Zhang, Guohua Li, Yining Ge, Patrick Gesualdi Haim, Shay Mey-Tal, Hillel Magen, Chengdong Huang
Sulfur (S) deficiency is an increasingly significant constraint to plant growth all over the world. Application of S fertilizer becomes an inevitable approach to alleviate S deficiency and improve crop yield. However, there is still lack of quantitative assessment of yield potential of crops fertilized with S fertilizer. In this study, an integrated meta-analysis with 181 studies with 1162 comparisons
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Meta-analysis reveals that returning crop straw to arable land causes soil acidification at the global scale Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-16 Yanling Guo, Zongxiang Zhang, Fei Liang, Wenchao Cao, Yajing Wang, Jingsheng Chen, Jingheng Guo
Returning crop straw to arable lands has been recommended as an appealing practice of climate-smart agriculture. On the other hand, straw return (SR) may also change soil pH that crucially regulates soil productivity and environmental quality. However, the magnitude and controlling factors of this SR-induced soil pH change remain largely uncertain, limiting our ability to fully assess its impacts on
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Predicting spatial and temporal variability in soybean yield using deep learning and open source data Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-15 Deborah V. Gaso, Laura Elena Cue La Rosa, Laila A. Puntel, Juan I. Rattalino Edreira, Allard de Wit, Lammert Kooistra
Spatial crop yield prediction provides valuable insights for supporting sustainable and precise crop management decisions. This study assessed the capabilities of advanced Deep Learning (DL) architectures in predicting within-field soybean yields using spectral bands from Sentinel-2 (RS-Inputs), weather (W-Inputs), and topographic attributes (TA-Inputs). DL architectures included 1-D convolutional
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Combining modelling and experiment to quantify light interception and inter row variability on intercropped soybean in strip intercropping Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-14 Yushan Wu, Meng Chen, Sirong Huang, Yue Li, Min Li, Di He, Pengcheng Hu, Tao Duan, Wanzhuo Gong, Yanhong Yan, Titriku John Kwame, Muhammad Ali Raza, Wenyu Yang
Taller crops affect the direct light interception and use efficiency of shorter crops in strip intercropping. Quantifying the light interception of shorter crops and optimizing it by manipulating the configurations could reduce lodging and produce a greater yield. Prior investigations have examined the instantaneous light interception of short-stature crops in intercropping. However, the direct quantification
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Analysing variations in flowering time based on the dynamics of chill and heat accumulation during the fulfilment of cultivar-specific chill requirements in apricot Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-13 Alvaro Delgado, David Ruiz, Ana M. Muñoz-Morales, José Antonio Campoy, Jose A. Egea
The fulfilment of cultivar-specific chill requirements (CR) and heat requirements (HR) is crucial for breaking dormancy and achieving optimal blooming and fruit set in temperate fruit trees. The reduction in winter chill availability over the coming decades due to global warming is expected to compromise the fulfilment of CR in many production areas, leading to production losses. The interplay between
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The synergistic effect of variety improvement and alternate wetting and drying irrigation on yield, water use efficiency and lodging resistance in rice Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-13 Hanzhu Gu, Zhilin Xiao, Qinghao Meng, Xiaotong Fa, Chen Wang, Wenjiang Jing, Weilu Wang, Kuanyu Zhu, Weiyang Zhang, Junfei Gu, Lijun Liu, Jianhua Zhang, Hao Zhang
Dwarfism in rice has reduced plant height, enhancing lodging resistance and supporting high grain yields. Alternate wetting and drying irrigation (AWD) has proven effective for water conservation in rice production. However, the impact of AWD on grain yield and lodging-resistant stem characteristics during rice variety improvement is not well understood. This study evaluated eight mid-season indica
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Temporal pattern of biomass partitioning to apical ear in maize plant hierarchies under contrasting resource availabilities Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-11 M.A. Rossini, G.A. Maddonni
Most studies in maize (Zea mays L.) focus on biomass partitioning to the ear (BAE) during the critical period for kernel setting (from −220 +100°Cd from silking; R1). However, early-established interplant variability of growth (around V7) affects both plant and ear growth during this period, influencing kernel setting across plant hierarchies. Delays in silk extrusion are often linked to reduced BAE
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Ensuring sustainable crop production when yield gaps are small: A data-driven integrated assessment for wheat farms in Northwest India Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-10 Hari Sankar Nayak, João Vasco Silva, Chiter Mal Parihar, Mangi Lal Jat, Rajbir Singh, Rakesh Kumar, Dipak Ranjan Sena, Hanuman Sahay Jat, Harminder Singh Sidhu, Timothy J. Krupnik, Tek B. Sapkota
Northwest India achieved remarkable wheat productivity gains during the past decades. However, this has been accompanied by increasing input levels and intensive production practices, raising questions about the economic and environmental sustainability of current cropping systems. A multicriteria integrated assessment is required for wheat farms in the region to understand the scope for cleaner wheat
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Enhancing irrigation scheduling by application efficiency estimations and soil moisture simulations Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-08 Jan Lukas Wenzel, Julia Pöhlitz, Muhammad Usman, Thomas Piernicke, Christopher Conrad
Additional water supply by irrigation is increasingly applied to high-value crops as potatoes in humid and temperate biomes to maximize yield and quality. In the light of increasing drought risks, innovative adjustments are required in irrigation scheduling to increase the efficiency and sustainability of supplemental irrigation. Hence, this study aims to (i) propose an easy-to-adopt, soil-property
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Multi-trait assessment of wheat variety mixtures performance and stability: Mixtures for the win! Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-07 Laura Stefan, Silvan Strebel, Karl-Heinz Camp, Sarah Christinat, Dario Fossati, Christian Städeli, Lilia Levy Häner
In the current quest for a more sustainable, environment-friendly agriculture, variety mixtures are often suggested as a practical option to increase the stability of food production systems. Their effects on yield have been extensively researched, yet clear conclusions remain elusive, notably in terms of mechanistic processes and optimal variety combinations. Furthermore, in the case of wheat, yield
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Inoculation with arbuscular mycorrhizal fungi in the field promotes plant colonization rate and yield Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-06 Xiaoyang Li, Yifan Wu, Chen Huang, Md. Abiar Rahman, Eli Argaman, Yan Xiao
Arbuscular mycorrhizal fungi (AMF) are widely distributed and can establish symbiotic relationships with various plants. AMF plays a critical role as a biological fertilizer in promoting sustainable agriculture. However, comprehensive studies on the effects of AMF inoculation under field conditions are still lacking. This study conducted a global synthesis of 117 peer-reviewed publications with 1633
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Estimation of winter wheat yield by assimilating MODIS LAI and VIC optimized soil moisture into the WOFOST model Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-04 Jing Zhang, Guijun Yang, Junhua Kang, Dongli Wu, Zhenhong Li, Weinan Chen, Meiling Gao, Yue Yang, Aohua Tang, Yang Meng, Zhihui Wang
Accurate and timely crop yield prediction is essential for effective agricultural management and food security. Soil moisture (SM) is a major factor that directly influences crop growth and yield, especially in arid regions. Hydrological models are often used to determine SM, which can be incorporated into crop growth models to estimate crop yield in large-scale areas. However, in existing studies
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Assessing tea foliar quality by coupling image segmentation and spectral information of multispectral imagery Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-04 Xue Kong, Bo Xu, Yang Meng, Qinhong Liao, Yu Wang, Zhenhai Li, Guijun Yang, Ze Xu, Haibin Yang
In-situ rapid detection of biophysical parameters in tea leaves using spectral data is essential for enhancing the quality and yield of tea. However, a major challenge with the current application of spectral technology is its inability to completely distinguish between old leaves and picked leaves within the field of view, which affects the accurate correspondence of biochemical elements. Therefore
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Crop straw converted to biochar increases soil organic carbon but reduces available carbon Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-03 Li Li, Jinkang Yang, Yalin Yu, Awais Shakoor, Ahmad Latif Virk, Feng-Min Li, Haishui Yang, Zheng-Rong Kan
Biochar can potentially be used to sequester soil organic carbon (SOC). However, a comprehensive assessment of SOC and its fractions in response to biochar produced by crop straw is still lacking compared to straw return. Here, a global meta-analysis with 58 publications was conducted to quantify the impacts of straw biochar on SOC contents. The results showed that straw biochar (BC) addition increased
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Rice straw nitrogen can be utilized by rice more efficiently when co-incorporating with milk vetch Eur. J. Agron. (IF 4.5) Pub Date : 2025-01-02 Qianyu Fan, Jiancheng Xie, Jintao Du, Huanyu Ge, Cuilan Wei, Hao Qian, Hai Liang, Jun Nie, Feng Hu, Songjuan Gao, Weidong Cao
The co-incorporation of milk vetch (MV) and rice straw (RS) in paddy field can promote nitrogen (N) uptake of rice, but the mechanisms of increased N utilization and contributions of milk vetch N (NMV) or rice straw N (NRS) to rice N uptake are still unclear. Two long-term field experiments and a 15N dual-label pot experiment were established to explore the effects of co-incorporation of milk vetch
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Precision nitrogen fertilization strategies for durum wheat: a sustainability evaluation of NNI and NDVI map-based approaches Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-31 Carolina Fabbri, Antonio Delgado, Lorenzo Guerrini, Marco Napoli
Durum wheat, one of the most important staple crops, faces increasing use of fertilizers, particularly nitrogen (N), to meet growing food demand. However, inefficient nitrogen management to meet crop demand can contribute to harms ecosystems. This study focuses on the application of precision fertilization technologies, particularly through variable-rate fertilization based on satellite imagery, to
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Optimizing maize production in the Guanzhong Region: An evaluation of density tolerance, yield, and mechanical harvesting characteristics in different maize varieties Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-27 Xiaoyue Wang, Xiaopeng Wu, Yongzhi Hua, Yuqing Li, Liangchuan Ma, Yihuang Gong, Wanchao Zhu, Shutu Xu, Jiquan Xue, Xiaoliang Qin, Kadambot H.M. Siddique
The rising demand for maize and increasing labor costs necessitate the selection of appropriate varieties to enhance maize production. This study evaluated the performance of three maize varieties—SD650, ZD958, and SD8806—at four planting densities: low (4.5 ×104 plants/hm2), regular (6 ×104 plants/hm2), medium (7.5 ×104 plants/hm2), and high (9 ×104 plants/hm2) over two years (2020 and 2021). The
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Rainfall and maximum temperature are dominant climatic factors influencing APSIM-Maize cultivar parameters sensitivity in semiarid regions Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-26 Xuening Yang, Xuanze Zhang, Zhigan Zhao, Ning Ma, Jing Tian, Zhenwu Xu, Junmei Zhang, Yongqiang Zhang
Sensitivity analysis is crucial for identifying key crop model parameters to improve parameterization efficiency, but climate conditions can affect sensitivity, leading to inaccurate calibration if different climate conditions are not considered. This study uses the extended Fourier amplitude sensitivity test to identify sensitive cultivar parameters in the Agricultural Production System Simulator
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Influence of agronomic parameters and storage parameters on the frying color of French fry potatoes (Solanum tuberosum L.) Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-26 Michaela Pia Laumer, Adolf Kellermann, Franz-Xaver Maidl, Kurt-Jürgen Hülsbergen, Thomas Ebertseder
Farmers and French fry producers have stated that each year, various factors impact the frying quality of potato tubers. As a result, a trial was designed to study the frying color development of the cultivar Innovator grown under different conditions (location, nitrogen fertilization, and harvest date) and stored at 6.5°C and 7.5°C. The samples were evaluated monthly from December to March. A multiple
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Using remotely sensed vegetation indices and multi-stream deep learning improves county-level corn yield predictions Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-25 Shahid Nawaz Khan, Javed Iqbal, Mobushir Riaz Khan, Naeem Abbas Malik, Faiq Ahmad Khan, Kashif Khan, Abid Nawaz Khan, Amna Wahab
The increasing global population and climate change pose significant threats to global food security. Machine learning models that use crop growth variables retrieved from remote sensing data offer the potential for early estimates of county-level crop yields, aiding informed decision-making for grain policy, insurance, and food security planning. While vegetation indices and other metrics derived
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Climate normals shape regional disparities of cotton yield failures compared to dominant impacts from climate extremes Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-25 Shengli Liu, Tongtong Shi, Tong Li, Xinru You, Shuai Dai, Wenkui Wang, Zhanbiao Wang, Xiongfeng Ma
Spatial co-occurring crop yield failures strongly affect crop productivity, resulting in profound socioeconomic consequences. Cotton (Gossypium hirsutum L.) cultivation in Xinjiang accounts for 91 % of China’s national cotton production, and play a critical role in the global textile industry. However, given the wide range of climatic niches for cotton cultivation in Xinjiang, the lack of a comprehensive
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Integrating high-frequency detail information for enhanced corn leaf disease recognition: A model utilizing fusion imagery Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-20 Haidong Li, Chao Ruan, Jinling Zhao, Linsheng Huang, Yingying Dong, Wenjiang Huang, Dong Liang
There are various types of corn diseases, many of which affect the leaves. However, the specific details such as shape, size, color, and texture of these diseases in images can present challenges for accurate recognition by deep neural networks (DNNs). Furthermore, images of corn leaf diseases captured in the field often contain noise, which can reduce the robustness and effectiveness of the trained
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Simulating phosphorus dynamics between the soil and the crop with the STICS model: Formalization and multi-site evaluation on maize in temperate area Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-20 Mounir Seghouani, Matthieu N. Bravin, Patrice Lecharpentier, Alain Mollier
Soil-crop models are pertinent tools to study and manage phosphorus (P) in agroecosystems. However, P modeling is suffering a delay as compared to nitrogen and carbon. In this study, we extended the STICS model to simulate the P uptake and P feed-back by coupling it with a soil-plant P model. The paper aims at describing the P model and present the results showing the ability of the model to simulate
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Accounting for soil water improves prediction of lentil phenology for improved frost and heat stress management Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-19 Yashvir Singh Chauhan, Muhuddin Rajin Anwar, Mark F. Richards, Ryan H.L. Ip, David J. Luckett, Lachlan Lake, Victor O. Sadras, Kadambot H.M. Siddique
Lentils in Australia are primarily grown in temperate and Mediterranean climates, especially in the southern and western regions of the country. As in other parts of the world, lentil yields in these areas are significantly influenced by factors such as frost, heat, and drought, contributing to variable production. Therefore, selecting appropriate lentil varieties and determining optimal sowing times
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Field-based hyperspectral imaging for detection and spatial mapping of fusarium head blight in wheat Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-19 Muhammad Baraa Almoujahed, Orly Enrique Apolo-Apolo, Rebecca L. Whetton, Marius Kazlauskas, Zita Kriaučiūnienė, Egidijus Šarauskis, Abdul Mounem Mouazen
Fusarium head blight (FHB) poses a substantial threat to cereal crop production, significantly affecting both grain yield and quality by producing harmful mycotoxins such as deoxynivalenol (DON), which is detrimental to human and animal health. To manage this threat effectively, precise detection and mapping of FHB spatial distribution at the field level are crucial. This study aimed to detect and
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Deep placement of controlled-release and common urea achieves the win–win of enhancing maize productivity and decreasing environmental pollution Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-19 Peng Wu, Jinyu Yu, Qinhe Wang, Zeyu Liu, Hua Huang, Qi Wu, Liangqi Ren, Guangxin Zhang, Enke Liu, Kemoh Bangura, Min Sun, Kejun Yang, Zhiqiang Gao, Peng Zhang, Zhikuan Jia, Jianfu Xue
The application of controlled-release urea or deep fertilization is effective for increasing crop yields. However, more research is needed to determine whether the deep placement of controlled-release and common urea can increase crop productivity and reduce environmental pollution. Between 2019 and 2021, we conducted field experiments in semi-humid and drought prone areas of the Loess Plateau region
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Companion legume species for chicory in a phased farming system Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-18 Guangdi D. Li, Richard C. Hayes, Matthew J. Gardner, Jeff I. McCormick, Matthew T. Newell
Chicory (Cichorium intybus L.) is a productive perennial pasture species that is well adapted to a range of environments and could be a viable ‘new’ alternative perennial species suited to phased farming systems in south-eastern Australia. However, chicory needs suitable legume companion species to meet its high nitrogen demand. The objectives of this study were to assess a) the compatibility of three
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Impact of remote sensing data fusion on agriculture applications: A review Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-18 Ayyappa Reddy Allu, Shashi Mesapam
Remote sensing data fusion has emerged as a pivotal tool in agricultural monitoring and management. This review delves into the profound impact of remote sensing data fusion techniques on agricultural practices. Through a comprehensive examination of existing literature, the review elucidates the diverse fusion methodologies employed and their implications for agricultural applications. Various fusion
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Deriving fertiliser recommendations for cocoa: An offtake model approach Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-18 Ekatherina Vasquez-Zambrano, Lotte Suzanne Woittiez, Joost van Heerwaarden, Leonard Rusinamhodzi, Stefan Hauser, Ken E. Giller
Cocoa production in West Africa has increased over the years, yet yields are stagnant due to factors such as limited fertiliser use, poor maintenance, and inadequate pest control. The existing knowledge on cocoa mineral nutrition is limited, with outdated and inconsistent fertiliser recommendations across countries and regions. This study aimed to develop and describe a cocoa N, P, K offtake model
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The biosynthesis of 2-acetyl-1-pyrroline is physiologically driven by carbon-nitrogen metabolism in fragrant rice Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-17 Zhe Jiang, Xiangbin Yao, Bin Du, Xinyi Wang, Xiangru Tang, Shenggang Pan, Zhaowen Mo
Carbon and nitrogen are important energy sources and nutrients, and carbon metabolism and nitrogen metabolism play key roles in the growth and development of fragrant rice. However, little is known about how carbon-nitrogen treatments regulate the biosynthesis of 2-acetyl-1-pyrroline (2-AP), which imparts a special flavor and makes fragrant rice a preferred rice variety, in fragrant rice. The aim of
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A survey of unmanned aerial vehicles and deep learning in precision agriculture Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-17 Dashuai Wang, Minghu Zhao, Zhuolin Li, Sheng Xu, Xiaohu Wu, Xuan Ma, Xiaoguang Liu
In the wake of significant advances in agronomy, biology, informatics, agricultural robots (Agri-robots), and artificial intelligence, modern agriculture is transforming from labor-intensive to data-driven mode. Precision agriculture (PA) is one of the most practical solutions for bridging the crop yield gap by performing the right treatments in the right place and at the right time. As a rising star
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Non-destructive potato petiole nitrate-nitrogen prediction using chlorophyll meter and multi-source data fusion with machine learning Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-16 Seiya Wakahara, Yuxin Miao, Matthew McNearney, Carl J. Rosen
In-season nitrogen (N) management is a promising strategy to achieve high tuber yield/quality and N use efficiency in potato (Solanum tuberosum L.) production. The SPAD-502 chlorophyll meter (SPAD) provides relative readings on plant N status using leaf chlorophyll transmittance and has the potential to replace the traditionally used expensive petiole analysis by estimating petiole nitrate-N (PNN)
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Leaching of dissolved organic nitrogen in long-term organic and conventional crop rotations in Denmark Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-16 Binbin Zhang, Sihui Yan, Ji Chen, Jim Rasmussen, Peter Sørensen, Shufang Wu, Jørgen E. Olesen
Nitrate leaching has been widely studied in agricultural cropping systems, whereas there are few studies of dissolved organic nitrogen (DON) leaching. Moreover, the factors determining variation of DON leaching in arable cropping systems remain unclear. Here, we examined variations in DON leaching from two organic crop rotations (Organic with Green Manure (OGM) and Organic with Grain Legume (OGL))
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Grain water weight dynamics and their relationships with grain filling in maize Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-14 Shang Gao, Bo Ming, Lulu Li, Liangyu Hou, Keru Wang, Shunli Zhou, Ruizhi Xie, Shaokun Li
Grain filling and dehydration are synchronous but opposing processes in maize that occur during the process of grain development; large grains are often poorly dehydrated. The theoretical feasibility of coordinating grain filling and dehydration remains unclear. Here, we used an agronomic indicator, grain water weight, to analyze the relationship between grain filling and dehydration. Data from 61
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Assessment of red-edge based vegetation indices for crop yield prediction at the field scale across large regions in Australia Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-13 Dhahi Al-Shammari, Brett M. Whelan, Chen Wang, Robert G.V. Bramley, Thomas F.A. Bishop
Vegetation indices have long been used to monitor vegetation using spectral information. The red-edge (RE) bands have gained attention for improved yield prediction capabilities over traditional red/near-infrared-based indices. This study introduces the triple red-edge index (TREI), a novel vegetation index that leverages the three RE bands provided by the Sentinel-2 satellite. It aims to enhance the
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Identification of soybean planting areas using Sentinel-1/2 remote sensing data: A combined approach of reduced redundancy feature optimization and ensemble learning Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-12 Tian Xiao, Bao She, Jinling Zhao, Linsheng Huang, Chao Ruan, Wenjiang Huang
Accurate extraction of soybean planting areas is inherently challenging owing to the close similarity in growth stage and spectral characteristics with maize, particularly during the early pod-ding phase. This research introduces a tiered and sequential extraction strategy leveraging Senti-nel-1 and Sentinel-2 (S-1/2) remote sensing data. The methodology integrates feature optimization aimed at minimizing
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Climate change impacts on two European crop rotations via an ensemble of models Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-12 E. Pohanková, P. Hlavinka, K.C. Kersebaum, C. Nendel, A. Rodríguez, J. Balek, J. Balkovič, M. Dubrovský, G. Hoogenboom, M. Moriondo, J.E. Olesen, J.W.M. Pullens, R.P. Rötter, M. Ruiz-Ramos, V. Shelia, R. Skalský, M.P. Hoffmann, J. Takáč, S. Thaler, J. Eitzinger, C. Dibari, R. Ferrise, L. Leolini, J. Bohuslav, M. Bláhová, M. Fischer, M. Trnka
Continuous long-term simulations of an ensemble of nine crop models covering the 1961–2080 period was employed to assess the expected impacts of climate change on the crop yield and water use for distinct crop rotations (CRs) in Europe. In this study, the likelihood of changes in two differently managed CRs (conventional and alternative) involving four important field crops (winter wheat, spring barley
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Legume trees in an established tropical grass pasture increase deep-soil N stocks Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-11 Diana Valadares Pessoa, Marcio Vieira da Cunha, Alexandre Carneiro Leão de Mello, Mércia Virginia Ferreira dos Santos, Giselle Gomes Monteiro Fracetto, Valéria Xavier de Oliveira Apolinário, Chrislanne Barreira de Macêdo Carvalho, Pedro Mouzinho de Oliveira Neto, José Lypson Pinto Simões Izidro, Suellen Brandão de Miranda Costa, José Carlos Batista Dubeux Junior, Janerson José Coelho
The synergism of grass-legume consortium in silvopastoral systems has a substantial contribution to improving soil organic matter, and N and C stocks compared to pastures under grass monocropping systems. This study hypothesizes that adding legume trees into long-term established pastures has little impact on soil stability, while can potentially increase soil C and N stocks. Three systems were compared
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Effect of sulfur- and zinc-containing fertilizers on soybean yield and analysis of spatial and seasonal yield variability in Ghana, West Africa Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-09 Anselme K.K. Kouame, Prem S. Bindraban, Lamia Jallal, Benjamin Kwesie, Angela N.A.F. Anokye, Ashraf El Allali, William Adzawla
Soybean [Glycine max (L.) Merr.] is an important crop in Ghana. However, the variability of yields throughout the season and in space limits its potential to improve the lives of farmers.
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Utilization of cattle slurry, biogas digestates and separated digestates by injection to organically managed spring barley Eur. J. Agron. (IF 4.5) Pub Date : 2024-12-06 Marie Reimer, Henrik B. Møller, Peter Sørensen
Nutrient scarcity in organic farming is an important obstacle to the growth of the sector. This study aimed to design a novel anaerobic digestion system for enhancing nitrogen (N) availability and abundance by co-digestion of grass-clover biomass and cattle slurry and a series of post-treatments. The digestates were separated, and the solid fraction was dried and stripped of ammonia. By a novel approach