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Grazing and selenium influence community stability by increasing asynchrony and sedge, forbs stability in alpine meadow of Qinghai-Tibet Plateau Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-21 Shuaibin Lai, Zhe Wu, Yang Liu, Fujiang Hou
Grazing is a major driving force of biodiversity, functions and stability of alpine meadows. In selenium-deficient alpine meadows, moderate selenium supplementation can promote plant growth and increase selenium content within the food web. However, the combined effect of grazing and selenium (Se) addition on the stability of alpine meadow communities within selenium-deficient soil is still unclear
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Unveiling the impact of winter cover crops and weedy fallow on the soil seedbank Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-20 Giorgia Raimondi, Donato Loddo, Vittoria Giannini, Maurizio Borin
Cover crops (CCs) are recognised as valuable for weed management, while fallow soil between cash crop seasons likely increases weed presence. Weeds may offer similar ecosystem services as CCs, although they pose a risk of seedbank buildup. This study evaluated the impact of two winter CC systems (3-year triticale cultivation, TRIT; and a 3-year succession of rye, clover, and mustard, RCM) compared
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Different supplemental irrigation methods result in discrepant water use efficiency and yield by changing steps of water use process in dryland wheat Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-17 Wenjia Yang, Jianli Zhou, Shiwen Wang, Lina Yin
Supplemental irrigation (SI) at critical growth stages is a practical way to mitigate water shortage of winter wheat in dryland. However, the yield performance after SI is unstable in different precipitation years. To obtain a better understanding about the applicability of SI in dryland, the utilization efficiency of precipitation and irrigation water (IUE) was divided into 5 sequential ratios: water
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Integrating machine learning and change detection for enhanced crop disease forecasting in rice farming: A multi-regional study Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-15 Gang Zhao, Quanying Zhao, Heidi Webber, Andreas Johnen, Vittorio Rossi, Antonio Fernandes Nogueira Junior
Crop diseases are increasingly causing devastating yield losses each year, posing a significant threat to global food security. Currently, fungicide treatment is one of the most effective measures to mitigate these disease-induced yield losses. Accurately predicting disease occurrence, onset timing, and development is critical for optimizing fungicide application schedules to achieve high efficacy
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A comparison of interpolation methods to predict chill accumulation in a Mediterranean stone fruit production area (Región de Murcia, SE Spain) Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-12 Inés Gómez-Ramos, Manuel Caro, Juan A. López, David Ruiz, Jose A. Egea
One of the most important agroclimatic variables for stone fruit production is winter chill accumulation. To estimate chill accumulation in locations where climatic data is not recorded, spatial interpolation is necessary. In this study, we compare different interpolation methods for mean and Safe Winter Chill (SWC) in a Mediterranean stone fruit production area (Region of Murcia, SE Spain) using data
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Drip irrigation coupled with appropriate N input increased maize (Zea mays L.) yield and lodging resistance via optimizing root and stem trait Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-10 Jia Gao, Zheng Liu, Pu Wang, Shoubing Huang
Irrigation practices are important agronomic measures that influence maize yield and lodging resistance. However, the impact of irrigation practices on the spatial distribution of maize roots and stem traits, as well as their interaction with nitrogen application, remains unclear. This study examined the combined and single-factor effects of irrigation and nitrogen fertilizer on the root distribution
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Improving carbon flux estimation in tea plantation ecosystems: A machine learning ensemble approach Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-10 Ali Raza, Yongguang Hu, Yongzong Lu
Tea plant () is a major global crop consumed as a drink after water. Quantifying carbon flux, specifically the net ecosystem exchange (NEE), in tea plantations is essential for determining carbon sequestration and ecosystem carbon balance. The Eddy covariance (EC) system is widely used for continuous monitoring of carbon flux but high costs associated with installation and maintenance limit its widespread
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Algorithm for estimating cultivar-specific parameters in crop models for newer crop cultivars Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-09 Sahila Beegum, Kambham Raja Reddy, Vangimalla Reddy
Model parameters in mechanistic process-based crop models are broadly classified into general parameters (environmental, management, and parameters related to soil processes), species-specific parameters, and cultivar-dependent parameters. While general and species-specific parameters typically remain unchanged, identifying cultivar-dependent parameters is crucial during calibration. With the continuous
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Water resource efficiency evaluation of crop production in arid and semi-arid regions based on water footprint and comparative advantage Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-08 Xian Liu, Yueyue Xu, Shikun Sun, Pute Wu, Yubao Wang
Revealing the characteristics of crop water use in arid and semi-arid areas and clarifying the differences in crop species and water use between provinces will help propose measures to promote sustainable agricultural development from the perspective of efficient crop water use, which is crucial for ensuring global food security. In this study, taking arid and semi-arid Northwest China as an example
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Pasture growth simulation and sensitivity analysis using APSIM-related models in a tropical silvopastoral system Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-07 Lucas Fillietaz Balcão, Mariana Andreucci, Val Snow, Dean Holzworth, Henrique Bauab Brunetti, Mariely Lopes dos Santos, Cristiam Bosi, Jose Ricardo Macedo Pezzopane, Patricia Menezes Santos
Silvopastoral systems integrate trees, pastures, and animals aiming for sustainable livestock production. The APSIM model has been used to simulate silvopastoral systems but the estimates of light transmission through the tree canopies, belowground water competition, and their effects on pasture production, have not been well adjusted. Thus, we improved the simulation of pasture growth within a silvopastoral
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Improving UAV hyperspectral monitoring accuracy of summer maize soil moisture content with an ensemble learning model fusing crop physiological spectral responses Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-07 Hao Liu, Junying Chen, Youzhen Xiang, Hongsuo Geng, Xizhen Yang, Ning Yang, Ruiqi Du, Yong Wang, Zhitao Zhang, Liangsheng Shi, Fucang Zhang
Soil moisture content (SMC) acquisition is vital for crop stress diagnosis and precision irrigation. However, UAV remote sensing-based SMC monitoring usually suffers from low accuracy and spatio-temporal applicability. To address these issues, this study integrated crop physiological spectral response features into an ensemble learning model. A two-year field experiment (2022–2023) was conducted. First
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Optimal substitution of inorganic fertilizer with organic amendment sustains rainfed maize production and decreases soil N2O emissions by modifying denitrifying bacterial communities in Northern China Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-07 Lihua Xie, Lingling Li, Junhong Xie, Jinbin Wang, Muhammad Zahid Mumtaz, Zechariah Effah, Setor Kwami Fudjoe, Maqsood Ahmed Khaskheli, Zhuzhu Luo, Linzhi Li
The current study aims to investigate the optimal substitution rate of inorganic fertilizer with organic fertilization practices to reduce NO emission without yield penalty in rainfed maize and to explore its denitrifier regulating mechanisms. A field study started in 2016 was continued in 2020 and 2021 by using five organic nitrogen (N) fertilizer substitution treatments, including 0 % (T1), 50.0 %
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Reducing tillage and herbicide use intensity while limiting weed-related wheat yield loss Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-05 Sandie Masson, Victor Rueda-Ayala, Luca Bragazza, Stephane Cordeau, Nicolas Munier-Jolain, Judith Wirth
Integrated weed management (IWM) promotes the combination of non-chemical techniques to achieve sustainable weed control while reducing the reliance on herbicides. However, IWM strategies reducing both herbicide and tillage intensity remain unsatisfactory, leading to weed-induced yield loss. In this study, five different IWM strategies were implemented for three years (2020–2022), aiming at reducing
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Assessing cotton flooding disasters accompanied by high temperatures: A case study in the middle and lower reaches of the Yangtze River, China Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-02 Huayue Meng, Long Qian, Chunyu Dong, Rangjian Qiu
Due to climate change, flooding disasters accompanied by high temperatures (FL-HT) are becoming increasingly common during cotton growing seasons, severely restricting cotton production. However, the characteristics and impacts of cotton FL-HT have rarely been investigated at the regional scale. In this work, based on existing field FL-HT research, we employed daily air temperatures and an agrometeorological
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Root activity and rhizospheric bacteria in response to nitrogen management in rice (Oryza sativa L.) Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-02 Kuanyu Zhu, Jiangyao Fu, Yajun Zhang, Weicheng Ren, Weiyang Zhang, Junfei Gu, Yunji Xu, Hao Zhang, Zhiqin Wang, Lijun Liu, Jianhua Zhang, Jianchang Yang
Although one-time application of a single polymer-coated urea (PCU) can minimize the N loss in paddy field and improve nitrogen use efficiency (NUE) in relative to rapid-release urea (RU), it shows a uncertainty in increasing rice yield. There is a proposal that one-time application of PCU mixed with RU can synergistically increase grain yield and NUE. However, few studies focus on the response of
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Water stress combining weather condition shapes wheat yield and inter-annual yield variability: Field observations from a six-year study Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-02 Dan Wei, Beijing Tian, Qingzhao Wu, Haijiang Wang, Pu Wang, Qingfeng Meng
Irrigation has played a pivotal role in Chinese wheat production and is becoming increasingly crucial in adapting to the changing climate. However, the benefits of water-saving wheat production in the long-term period and its response to climate change have received limited attention. In this study, a 6-year field experiment was conducted to investigate the grain yield and water use with three treatments
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Evaluating the impacts of climatic factors and global climate change on the yield and resource use efficiency of winter wheat in China Eur. J. Agron. (IF 4.5) Pub Date : 2024-08-01 Yuan Cao, Xiaolei Qiu, Meng Kang, Liuyue Zhang, Wenjun Lu, Bing Liu, Liang Tang, Liujun Xiao, Yan Zhu, Weixing Cao, Leilei Liu
Global climate change has profound impacts on agricultural production, and it includes increasing temperature, global dimming, altered precipitation patterns, and elevated CO concentration. However, the comprehensive assessment of the impact of different individual climatic factors and their interactions on crop production is relatively limited. Here we assessed the impacts of climate change and different
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Do different densities and planting orientations of forage cactus alter agronomic, morphophysiological characteristics, and soil water dynamics in a semiarid region? Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-31 Gabriel Italo Novaes da Silva, José Edson Florentino de Morais, Carlos André Alves de Souza, Alexandre Maniçoba da Rosa Ferraz Jardim, Cléber Pereira Alves, Kaique Renan da Silva Salvador, Luciana Sandra Bastos de Souza, Adriano do Nascimento Simões, Fleming Sena Campos, Antonio José Steidle Neto, Ana Virgínia Marinho Silveira, Abelardo Antônio de Assunção Montenegro, Thieres George Freire da Silva
Water scarcity is a problem that affects agricultural production around the world. Increasing forage production in the semiarid region is necessary to maintain animal production, and consequently food security. Different agronomic management can improve growth and productivity responses and the water-economic indexes of the crop. Therefore, this study aimed to evaluate how the management of density
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Optimizing wolfberry crop productivity and economic sustainability using subsurface irrigation with ceramic emitters for smallholders: A four-year study Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-30 Xuanyue Tong, Pute Wu, Lin Zhang, Zhaoguo Wang
In the face of rapid population growth, scarce water resources, and changing climate conditions, smallholders confront significant challenges in maintaining the productivity of their agroecosystems. Traditional irrigation methods are often expensive and inefficient, limiting the potential for increasing crop yields. To address these issues, this study designed a subsurface irrigation system with ceramic
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Simulation of tomato and corn growth using a modified intercropping model considering radiation interception in two-dimensional space and air temperature stress Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-29 Ning Chen, Xianyue Li, Yuehong Zhang, Haibin Shi, Qi Hu, Yue Li, Wenhao Ren, Zhenzhen Mei
Intercropping system has been widely applied in the agricultural production worldwide. However, the difference in agricultural productivity in tomato–corn intercropping system with different spatial arrangements has not been determined. Meanwhile, the existing intercropping models cannot precisely capture inter-species crop growth dynamics. Therefore, a 10-year (2010–2019) experimental field study
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Assessing the efficacy and residual impact of plant growth retardants on crop lodging and overgrowth: A review Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-25 Huimin Li, Gege Cui, Guangyan Li, Hao Lu, Haiyan Wei, Hongcheng Zhang, Haipeng Zhang
Lodging caused by overgrowth significantly reduces crop yields worldwide annually. Plant growth retardants (PGRts) as a chemical intervention widely adopted in agricultural practices provide an effective strategy to mitigate lodging and control excessive growth. However, the diversity of PGRts and the limited research on their soil environmental safety necessitate comprehensive evaluation. To address
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Adapting the CROPGRO model to simulate growth, development, and yield of Bambara groundnut (Vigna subterranea L. Verdc), an underutilized crop Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-24 A.S. Karunaratne, G. Hoogenboom, K.J. Boote
Technology development has progressed in recent decades in terms of breeding and agronomy of major crops such as wheat, rice, and maize. Nevertheless, production of these major crops is under pressure from climate change and threats of marginal soil nutrients in degraded agricultural lands. Underutilized crops are identified as resilient to local environments that can cope with climatic variations
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A new strategy for weed detection in maize fields Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-23 Pengfei Chen, Tianshun Xia, Guijun Yang
Timely determination of weed distributions in fields is crucial for the precise spraying of herbicides. This facilitates weed control while saving costs and protecting the environment. Existing weed detection strategies often rely on the utilization of numerous weed samples to train detection models directly, which presents challenges in situations involving limited weed samples. To address this issue
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Higher risk of spring frost under future climate change across China's apple planting regions Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-23 Renwei Chen, Jing Wang, Yang Li, Rui Bai, Mingxia Huang, Zhenzhen Zhang, Lingxuan Zhao, Zhenjiang Qu, Lu Liu
Spring frost is one of major agro-meteorological disasters impacting apple production. Previous studies focused on the impacts of spring frost during the flowering period on apples, however, the frost events occurring at both pre- and post-flowering phases have significant impacts on apples. Our study employed four phenology models (parallel model, M1 model, sequential model, and growing degree hour
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Enhancing rapeseed yield and lodging resistance through combined inorganic nitrogen and long-term organic fertilizer application Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-23 Zhaojie Li, Farooq Shah, Li Xiong, Wei Wu
To meet the increasing global demand for edible oils, enhancing seed yield and quality of winter rapeseed ( L.) through organic fertilizers is a highly effective strategy. But the impact of long-term organic fertilizer on rapeseed lodging is most often ignored, leading to considerable knowledge gaps. To fill this gap, a 3-year field experiment (from 2018 to 2021) started in 2012 was performed. The
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Successive application of controlled-loss urea improves grain yield and economic benefit in maize-wheat cropping systems Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-19 Lisha Shangguan, Zejie Ye, Dengke Hou, Wenlu Zhai, Zhongzhou Feng, Ran Zhang, Yingxin Xie, Geng Ma, Chenyang Wang, Dongyun Ma, Tiancai Guo, Xu Zhao
Controlled loss urea (CLU) as a new type of nitrogen fertilizer has attracted much attention due to its significant advantages in saving labor costs, increasing crop yield, improving nitrogen use efficiency (NUE), and protecting ecological environment of farmland. However, there have still been few reports on mechanism of successive controlled loss urea application affecting crop yield, NUE and economic
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Performance of co-designed diversified Mediterranean cropping systems: Hybridizing stakeholders' knowledge and modelling data Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-19 Louise Blanc, Ferdaous Rezgui, Laure Hossard, Jorge Lampurlanés, Genís Simon-Miquel, Daniel Plaza-Bonilla
Mediterranean cropping systems, characterised by continuous cereal cropping, are largely dependent on synthetic inputs, such as N fertilisers. On the other hand, they face difficult pedoclimatic conditions, exacerbated by climate change. Diversification is seen as a way to increase cropping systems resilience. The aim of this study was to co-design diversified cropping systems based on the expertise
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Medicago polymorpha and M. sativa-camelina intercropping increases land use efficiency and productivity, and economic benefits in eastern China Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-18 Yang Gao, Youxin Zhang, Jialin Yu, Do-Soon Kim, Soo-Hyun Lim, Haixi Zhang, Xuebing Yan, Chuan-Jie Zhang
In the context of global food security and climate change, intercropping has been proposed as an effective agricultural practice to improve crop productivity and land use efficiency. The objectives of this study were to evaluate the total yield potential, land equivalent ratio, and economic benefits of one annual medic ( L.) and two alfalfa ( L.) cultivars intercropped with camelina [ (L.) Crantz]
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Full-field straw mulching and fertilizer application improved the soybean seed yield through optimization of the root and canopy structure: A study case in Huang-Huai-Hai region Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-18 Zongsheng Wu, Cailong Xu, Ruidong Li, Yifan Xu, Jianxin Hua, Shi Sun, Tianfu Han, Wenwen Song, Cunxiang Wu
Increasing soybean seed production and obtaining more vegetable oil and vegetable protein are important measures to ensure global food security. The Huang-Huai-Hai region is the main production area of high-quality and high-protein soybeans in China. No-tillage with straw mulching seeding technology is a new soybean planting mode in this area, which can significantly improve seed yield. However, the
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Modelling maize silk extension using segmented exponential and linear functions Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-17 Zhiwei Wang, Yi Yu, Zhaoyu Hu, Yibo Wu, Weiwei Sun, Yangyang Li, Youhong Song
Silk extension determines the timing of silking, subsequent pollination and kernel setting, which has not been accounted in functional-structural plant (FSP) modelling for maize. In this study, a two-year field experiment with two local maize hybrids i.e. AnNong 591 (referred to as AN591) and ZhongDan 909 (referred to as ZD909) was carried out in Hefei, Anhui Province, China in both 2019 and 2020.
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High yield, good eating quality, and high N use efficiency for medium hybrid indica rice: From the perspective of balanced source-sink relationships at heading Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-16 Haibing He, Chao Hu, Haochong Xu, Ru Yang, Cuicui You, Jian Ke, Qiangqiang Zhang, Liquan Wu
High yield, good eating quality, and high nitrogen (N) use efficiency present challenges in cultivating medium hybrid rice. We hypothesized that balanced source-sink relationships are key traits for achieving high yield, good eating quality, and high N use efficiency in medium hybrid rice under suitable N management regimes. Three field experiments were conducted with two medium hybrid rice cultivars
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No-tillage mulch with green manure retention improves maize yield by increasing the net photosynthetic rate Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-16 Yulong Wang, Hanqiang Lyu, Aizhong Yu, Feng Wang, Yue Li, Pengfei Wang, Yongpan Shang, Xuehui Yang, Qiang Chai
Green manure being return to fields has been widely used in arid areas, as an effective technical measure to improve soil fertility and increase crop yield. Although a large number of studies have shown that green manure return to field can promote crop yield increase, the physiological mechanism of different green manure return methods to promote crop yield increase has not been well explained. This
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Optimizing combination of chemical nitrogen fertilizer and manure can increase yield and economic benefits of dryland wheat while reduce environmental risks Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-16 Wenguang Li, Kai Wang, Tianyu Feng, Peng Miao, Zhaoxia Zheng, Xuechen Zhang, Wei Zheng, Ziyan Li, Bingnian Zhai
Partial substitution of chemical fertilizer with organic fertilizer is emerging as a promising measure to achieve sustainable agriculture with high crop yields and low environmental risks. How much synthetic nitrogen fertilizer can be replaced by each unit of organic fertilizer? How to balance the economic benefits against the environmental risks? There is still a lack of long-term field observations
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Leafiness-LiDAR index and NDVI for identification of temporal patterns in super-intensive almond orchards as response to different management strategies Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-13 L. Sandonís-Pozo, B. Oger, B. Tisseyre, J. Llorens, A. Escolà, M. Pascual, J.A. Martínez-Casasnovas
The use of super-intensive orchards is a growing trend in fruit production. The present study aims to improve management of these cropping systems by focusing on how agronomic decisions impact orchard dynamics in the short to medium term and by providing a decision-support approach based on stable temporal patterns from previous seasons. A multitemporal study using remote sensing and LiDAR was conducted
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Crop functional structure predicts the provision of Nature´s material Contribution to People in diversified agroforestry Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-13 Marinice Teleginski, Diego dos Santos, Fernando Joner, Renata Rodrigues Lucas, Larissa Aparecida Augusto, Ilyas Siddique
Applying concepts from natural ecosystem ecology, particularly through diversified cropping systems that integrate woody crops with other crops, can enhance agrobiodiversity and significantly contribute to multifunctional agriculture. The ecological and, more recently, the agronomic literature have indicated that functional trait aspects of diversity offer a more comprehensive explanation for ecosystem
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Improving crop productivity by optimizing straw returning patterns to delay senescence of wheat leaves Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-13 Pan Li, Wen Yin, Zhilong Fan, Falong Hu, Lianhao Zhao, Hong Fan, Wei He, Qiang Chai
Early senescence in the conventional pattern of wheat production is widespread, leading to decline in potential for increased and stabilized yield. Straw returning could effectively improve soil quality and extend the growth period of wheat. However, the response mechanism of straw returning in delaying leaves senescence and increasing crop productivity by regulating the internal physiological and
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A dual-path model merging CNN and RNN with attention mechanism for crop classification Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-13 Fuyao Zhang, Jielin Yin, Nan Wu, Xinyu Hu, Shikun Sun, Yubao Wang
Rapid and accurate crop classification is essential for estimating crop information and improving cropland management. The application of deep learning models for crop classification using time-series data has become the most promising method. However, most approaches rely on single models for data processing result in lower classification accuracy and poor stability. Therefore, this study proposes
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Combining time-variable controlled release urea formulations to improve spring maize yield and reduce nitrogen losses in northeastern China Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-13 Yunpeng Hou, Xinpeng Xu, Lili Kong, Yitao Zhang, Lei Zhang, Lichun Wang
The application of controlled-release urea (CRU) has become an important practice to increase maize yield and nitrogen (N) use efficiency (NUE) with one-time fertilization management. The appropriate ratios and application effects of combinations of regular urea and CRU with different N-release periods (U–CRU) may vary because of regional climate and crop specificity. A three-year (2019–2021) field
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Over 50 years of a field experiment on cropping systems in Bałcyny, Poland: Assessing pesticide residues in soil and crops from the perspective of their field application history Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-11 Magdalena Jastrzębska, Marta K. Kostrzewska, Marek Marks
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Optimal species proportions, traits and sowing patterns for agroecological weed management in legume–cereal intercrops Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-09 Pierre Lebreton, Laurent Bedoussac, Catherine Bonnet, Etienne-Pascal Journet, Eric Justes, Nathalie Colbach
Intercropping, i.e., growing several species in the same field for a major part of their growing periods, often improves yield and weed control, but their performance greatly varies across situations. The aim of this study was to evaluate the effects of bi-species legume–cereal intercrops on weed dynamics and their impact on crop production, in the absence of nitrogen or water stress, via simulations
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Pesticide use is affected more by crop species than by crop diversity at the cropping system level Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-08 Yaoyun Zhang, Laurent Bedoussac, Chaochun Zhang, Wen-Feng Cong, Maé Guinet, Romain Nandillon, Nicolas Munier-Jolain
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Estimation of grain filling rate and thousand-grain weight of winter wheat (Triticum aestivum L.) using UAV-based multispectral images Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-08 Baoyuan Zhang, Limin Gu, Menglei Dai, Xiaoyuan Bao, Qian Sun, Xuzhou Qu, Mingzheng Zhang, Xingyu Liu, Chengzhi Fan, Xiaohe Gu, Wenchao Zhen
Estimating grain filling rate (GFR) and thousand-grain weight (TGW) plays an important role in evaluating yield and guiding the selection of varieties and cultivation strategies of winter wheat (). However, the current GFR and TGW monitoring methods mainly rely on destructive sampling, which can not achieve rapid estimation in a large area of farmland. This study aims to establish a method for estimating
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Legume-based crop rotations as a strategy to mitigate fluctuations in fertilizer prices? A case study on bread wheat genotypes in northern Spain using life cycle and economic assessment Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-03 Mareike Weiner, Simon Moakes, María Dolores Raya-Sereno, Julia Cooper
Today’s agricultural production is heavily dependent on synthetic nitrogen (N) fertilizer. Its energy-intensive production and use are associated with a number of environmental burdens, such as global warming and marine eutrophication. Furthermore, fertilizer prices are subject to high volatility and have been rising steadily for years. One strategy to reduce the dependence on synthetic N fertilizer
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Mapping the science around Xylella fastidiosa: An update after the outbreak on Italian olive groves Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-02 Elisabetta Raparelli, Sofia Bajocco, Fabrizio Ginaldi, Gianni Fila
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On-farm evidence on breaking yield barriers through optimizing wheat cropping system in Indo Gangetic Plain Eur. J. Agron. (IF 4.5) Pub Date : 2024-07-01 Radheshyam, Shankar Lal Jat, M.L. Jat, C.M. Parihar, H.S. Jat, A.K. Singh, Deepak Bijarniya, Smruti Ranjan Padhan, Praveen V. Kadam, Manish Kumar
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Machine learning based on functional principal component analysis to quantify the effects of the main drivers of wheat yields Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-28 Florent Bonneu, David Makowski, Julien Joly, Denis Allard
Assessing the response of crop yield to year-to-year climate variability at the field scale is often done using process-based models and regression techniques. Although powerful, these tools rely on strong assumptions and can lead to substantial prediction errors. In this study, we investigate the use of a flexible machine learning algorithm combining Functional Principal Component Analysis and Random
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Eight years of eco-intensification of maize-soybean rotation in south Brazil: Maize grain production and nitrogen fertilizer replacement value Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-27 Rafael Otto, Gabriel Barth, Murilo Nunes Valenciano, Johnny Rodrigues Soares, Eros Artur Bohac Francisco, Luis Ignacio Prochnow
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Carbon dioxide fluxes over irrigated and rainfed alfalfa in the Southern Great Plains, USA Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-25 Pradeep Wagle, Yuting Zhou, Brian K. Northup, Corey Moffet, Stacey A. Gunter
The annual dynamics of carbon dioxide (CO) fluxes for irrigated and rainfed alfalfa ( L.) in the Southern Great Plains of the United States of America (USA) under different watering regimes are not yet fully understood. The main objective of this study was to examine the dynamics of eddy covariance (EC) measured CO fluxes in relation to various biophysical factors and hay harvests for irrigated and
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Integrated nitrogen fertilizer management for improving wheat yield and the efficiency of water and nitrogen fertilizer use Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-25 Houhua Liu, Xiaotian Mi, Lei Wei, Jiayi Kang, Gang He
Improving resource use efficiency through optimized nitrogen (N) management is the key to increasing crop productivity, but it remains unclear whether integrated N management practices could better improve wheat yield and the use of N and water. Here we investigated the effects of individual and integrated N management practices on wheat production in different soil-climatic conditions, and constructed
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Morpho-physiochemical traits and metabolic analysis reveal the rapeseed responses under large clod sized soil conditions Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-24 Chenyang Bai, Ali Mahmoud El-Badri, Maria Batool, Yizhong Lei, Ruiying Gu, Yunxia He, Jie Kuai, Jing Wang, Bo Wang, Zhenghua Xu, Jie Zhao, Guangsheng Zhou
Soil clod size is an important factor affecting seedling growth; besides, cultivation of strong seedlings is important to improve yield and benefit of direct-seeding rapeseed. To simulate the open field conditions, two rapeseed cultivars were grown in different clod sized soil to study morpho-physiochemical responses at five leaf stage, beside applying metabolite profiling. Moreover, foliar application
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Nitrogen application increased yield sensitivity of indica hybrid rice to climate resource Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-24 Bo Lu, Ziyu Li, Fei Yang, Congshan Xu, Xinao Tang, Jianwei Zhang, Chao Ding, Deze Xu, Guofu Zhu, Jing Zhang, Weiwei Li, Haoyu Qian, Yu Jiang, Zhenghui Liu, Yanfeng Ding, Ganghua Li
Rice yield variability can be attributed to the range of sowing dates across extensive cropping areas and varying nitrogen application rates. Nonetheless, the precise quantitative relationship between sowing dates, nitrogen application rates, and rice yield development remains elusive. In this study, we evaluated differences in dry matter and yield components of three indica hybrid varieties for five
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A new perennial forage module coupled with the ECOSMOS terrestrial ecosystem model: Calibration and evaluation for Urochloa (syn. Brachiaria) brizantha Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-24 Fabiani Denise Bender, Santiago Vianna Cuadra, Henrique Boriolo Dias, Leandro Eduardo Annibal Silva, Monique Pires Gravina de Oliveira, Rubens Augusto Camargo Lamparelli, Osvaldo Machado Rodrigues Cabral, Sandra Furlan Nogueira, José Ricardo Macedo Pezzopane, Cristiam Bosi, Helber Custódio de Freitas, Paulo Sergio Graziano Magalhães
Pastures represent the main land use type in Brazil and are used for livestock production and maintenance of land ownership. Most pasture areas exhibit signs of degradation related to inadequate management, which affects pasture biomass production. Terrestrial ecosystem models are effective tools for evaluating the economic and ecological returns associated with distinct management scenarios. In this
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Exogenous sulfur application can effectively alleviate iron deficiency yellowing in peanuts and increase pod yield Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-24 Xiao-yan Zhang, Wen-feng Hou, Ze-chang Gou, Shu-ran Jia, Han Li, Qiang Gao, Xiao-yu Li
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Optimizing fertilization depth to promote yield performance and economic benefit in maize for hybrid seed production Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-24 Zhonghong Tian, Mengjie Zhang, Chang Liu, Yingzhou Xiang, Yarong Hu, Yuhao Wang, Enke Liu, Peng Wu, Xiaolong Ren, Zhikuan Jia, Kadambot H.M. Siddique, Peng Zhang
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A comprehensive network meta-analysis to assess the benefit of starter fertilization on yield, nutrient uptake and nutrient use efficiency Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-21 Michelle Natalie Herrmann, Kexin Wang, Yuan Wang, Jens Hartung, Peteh Mehdi Nkebiwe, Wei Zhang, Xinping Chen, Torsten Müller, Huaiyu Yang
Placed starter fertilization, a well-established fertilization practice in agriculture, aims to increase fertilizer use efficiency and yield. So far, numerous studies have proven positive effect on yields. However, the impact on nutrient use efficiency and nutrient uptake was not investigated profoundly. Additionally, diverse unidentified edaphic and environmental factors, and fertilization strategies
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A Bayesian approach to analyzing long-term agricultural experiments Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-21 J.W.G. Addy, C. MacLaren, R. Lang
Effective and flexible statistical analyses are key to getting the most out of long-term experiments (LTEs). Here, we aim to introduce Bayesian analysis to the wider LTE community and show how the modelling process differs from traditional statistical analyses. Bayesian methods have become increasingly popular due to more flexibility in model development with better access to statistical software and
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The effect of structural bending properties versus material bending properties on maize stalk lodging Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-21 Yusuf Oduntan, Bharath Kunduru, Kaitlin Tabaracci, Endalkachew Mengistie, Armando G. McDonald, Rajandeep S. Sekhon, Daniel J. Robertson
Stalk lodging (mechanical failure of stalks or stems before harvest) is a major problem in grain production that significantly reduces yield. Efforts to improve stalk lodging are hampered by a limited understanding of the determinants of stalk failure. This study examined the structural bending properties and material bending properties of maize () stalks. First, an in-field phenotyping device known
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Elevation map-based variable rate poultry litter application is a promising method in cotton production Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-21 Haile Tewolde, Yanbo Huang, Chris Bellamy, John P. Brooks, Gary Feng, Johnie N. Jenkins
Variable rate poultry litter (PL) application can potentially increase cotton yield and reduce environmental degradation risks associated with excess applications. The objective of this study was to determine whether applying PL in an inherently variable cotton field as variable-rate based on soil organic matter (SOM, VRo) or elevation (VRe) maps leads to greater yield and production efficiency than
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Cultivar effect on proximal optical sensor measurements and estimation of leaf N content in muskmelon and sweet pepper Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-20 Francisco M. Padilla, Cihan Karaca, M. Teresa Peña-Fleitas, Marisa Gallardo, Alejandra Rodríguez, Rodney B. Thompson
In intensive vegetable crops, there is a requirement for monitoring tools that assess crop nitrogen (N) status to reduce N use and the potential for nitrate (NO) leaching loss. Monitoring with proximal optical sensors can regularly provide information to vegetable growers to assist with optimal crop N management. Reference values for proximal optical sensor measurements that indicate crop N sufficiency
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Ovary morphology determines ovary-to-grain transition process and final grain weight potential in wheat Eur. J. Agron. (IF 4.5) Pub Date : 2024-06-20 Zhen Zhang, Jing Li, Xiaoyu Zheng, Jinpeng Li, Ying Liu, Wan Sun, Jie Ren, Xuechen Xiao, Wanqing Zhang, Zhencai Sun, Zhimin Wang, Yinghua Zhang
The ovary-to-grain transition process is crucial for individual grain weight potential, but the but the physiological regulation of this highly dynamic and complex developmental process remains largely unknown unknown. Here, we performed a high temporal-resolution analysis of the proximal (large) and distal (small) ovaries/grains collected at an interval of 3 days from the booting stage to maturity