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Stalk sap nitrate test as a potential tool for nitrogen fertilizer recommendations for maize Field Crops Res. (IF 5.8) Pub Date : 2024-03-15 Navreet K. Mahal, Fernando E. Miguez, John E. Sawyer, Liang Dong, Patrick S. Schnable, Michael J. Castellano
Nitrogen (N) fertilizer is among the costliest inputs to maize ( L.) production, and the most challenging input to predict the optimum application for enhanced productivity while preventing loss to the environment. This study aimed to determine if late spring maize stalk sap nitrate-N concentrations measured during vegetative growth stages can be used to guide in-season N fertilizer input decisions
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Boll/leaf ratio improves the source–sink relationship and lint yield during the boll setting stage of cotton Field Crops Res. (IF 5.8) Pub Date : 2024-03-14 Yuting Liu, Yuyang Dai, Zhenyu Liu, Siqi Sun, Shujuan Wu, Jianing Du, Yuan Chen, Xiang Zhang, Dehua Chen, Yuan Chen
Coordination of the cotton source–sink relationship is important. Although some indicators have been used to reflect the source-sink relationship in cotton, few indicators can directly demonstrate the source–sink relationship from the perspective of the cotton population. This study aimed to determine one or several indicators that can be used to directly reflect the source–sink relationship of the
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Assessing the impacts of climate change on water resource management and crop patterns in Eastern Iran Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-13 Fatemeh Rastegaripour, Abolfazl Tavassoli, Mahdi Babaeian, Jesús Fernández-Gálvez, Andrés Caballero-Calvo
Rapid population growth and climate change are poised to significantly impact water resources and agriculture. Consequently, it becomes imperative to delve into the repercussions of climate change on agriculture and natural resources in developing nations. In this research, an economic–hydrological model was employed to assess the influence of climate change on water management and cropping patterns
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Benefits and pitfalls of irrigation timing and water amounts derived from satellite soil moisture Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-13 Luca Zappa, Jacopo Dari, Sara Modanesi, Raphael Quast, Luca Brocca, Gabrielle De Lannoy, Christian Massari, Pere Quintana-Seguí, Anais Barella-Ortiz, Wouter Dorigo
Despite the key role of irrigation in the Earth system, we lack fundamental information regarding the distribution of irrigated fields, irrigation timing and the amount of water utilized. In the past years, the SM_Delta and SM_Inversion approaches have been independently developed to provide estimates of irrigation timing and water amounts based on satellite soil moisture data. The SM_Delta approach
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Sub-seasonal soil moisture anomaly forecasting using combinations of deep learning, based on the reanalysis soil moisture records Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-13 Xiaoyi Wang, Gerald Corzo, Haishen Lü, Shiliang Zhou, Kangmin Mao, Yonghua Zhu, Santiago Duarte, Mingwen Liu, Jianbin Su
Sub-seasonal drought forecasting is crucial for early warning in estimating agricultural production and optimizing irrigation management, as forecasting skills are relatively weak during this period. Soil moisture exhibits stronger persistence compared to other climate system quantities, which makes it especially influential in shaping land-atmosphere feedback, thus supplying a unique insight into
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Common agronomic adaptation strategies to climate change may increase soil greenhouse gas emission in Northern Europe Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-13 Diego Grados, David Kraus, Edwin Haas, Klaus Butterbach-Bahl, Jørgen Eivind Olesen, Diego Abalos
Climate change poses a significant threat to agriculture, highlighting the need for adaptation strategies to reduce its impacts. Agronomic adaptation strategies, such as changes in planting dates, fertilization, and irrigation, might sustain crop yield. However, their impact on soil greenhouse gas (GHG) emission is unknown under future climate scenarios. Using the LandscapeDNDC model, we assessed the
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Assessing the impact of weather forecast uncertainties in crop water stress model predictions Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-13 Bachar Tarraf, François Brun, Laure Raynaud, Sébastien Roux, Yulin Zhang, Loic Davadan, Olivier Deudon
Since agriculture is highly exposed to weather-related risks such as drought constraints, Decision Support Tools (DSTs) are now frequently used in irrigation management. The current use of DSTs mainly relies on deterministic weather forecasts that do not account for the associated weather uncertainties. Few irrigation DST users take uncertainty into consideration by utilizing an ensemble of historical
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Nano calcium carbonate improves wheat nitrogen accumulation and grain yield by enhancing soil nitrogen supply and flag leaf photosynthetic characteristics Field Crops Res. (IF 5.8) Pub Date : 2024-03-13 Yu Gao, Shuang Chen, Min Yang, Zenghui Hao, Xiulin Wang, Yan Shi
Over-application of chemical fertilizers to attain optimal crop yields has resulted in an environmental issue of global concern. To mitigate this, reducing nitrogen (N) application and enhancing fertilizer use efficiency is crucial, and nano-fertilizers offer a promising solution. However, there is a paucity of studies examining the use of nano-fertilizers in fields. This study aimed to assess the
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Optimizing irrigation and nitrogen management improves soil soluble nitrogen pools and reduces nitrate residues in a drip-fertigated apple orchard on the Loess Plateau Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-12 Shuaihong Chen, Shaowu Zhang, Hui Li, Tiantian Hu, Guangzhao Sun, Xiaolu Cui, Jie Liu
Appropriate water and nitrogen fertilizer management is crucial for achieving sustainable development in the apple industry. However, the soil nitrogen supply capacity and residual nitrate characteristics under drip fertigation remain poorly understood. Therefore, this study aims to (1) investigate the coupling effects of irrigation and nitrogen levels on the concentrations and distribution characteristics
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Genotypic responses to phosphorus and water management in winter wheat: Strategies to increase resource use efficiency and productivity Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-12 Sebastián Meier, Pedro Campos, Arturo Morales, Claudio Jobet, Rafael López-Olivari, Rubén Palma-Millanao, Iván Matus, Humberto Aponte, Paula Cartes, Naser Khan, Laura Lavanderos, Alex Seguel
The phosphorus (P) addition can be helpful in the mitigation of the adverse effects of water deficit stress. However, the efficiency of wheat in utilizing both components has not been assessed in field conditions. This research aims to assess the effects of P and water addition on phosphorus use efficiency (PUE) and water productivity (WP) in field conditions for select wheat cultivars co-adapted to
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Soil water distribution and water productivity in red cabbage crop using superabsorbent polymeric hydrogels under different drip irrigation regimes Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-12 Kishor N, Manoj Khanna, G.A. Rajanna, Man Singh, Anupama Singh, Shrawan Singh, Tirthankar Banerjee, Neeraj Patanjali, Jitendra Rajput, B. Kiruthiga
The water issue has emerged as a significant barrier to agricultural productivity, particularly in dry and semiarid agro-ecologies, particularly during the winter season. Superabsorbent hydrogels have been identified as effective tools for improving crop and water productivity in arid locations by enhancing moisture retention. The application of hydrogel to soil is commonly done as a basal application
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Evaluating methods for measuring the leaf area index of encroaching shrubs in grasslands: From leaves to optical methods, 3-D scanning, and airborne observation Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-12 E. Greg Tooley, Jesse B. Nippert, Zak Ratajczak
Leaf area index (LAI) is a key variable describing ecosystem structure and influencing the exchange of carbon, water, and energy. LAI is often evaluated with indirect methods. However, the accuracy of indirect measurements can vary with canopy structure and is not always generalizable across ecosystems. Previous research has characterized the accuracy of indirect methods for woody plants in forest
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Optimizing crop water productivity and delineating root architecture and water balance in cotton–wheat cropping system through sub-surface drip irrigation and foliar fertilization strategy in an alluvial soil Field Crops Res. (IF 5.8) Pub Date : 2024-03-12 Tarandeep Kaur, Pawan K. Sharma, A.S. Brar, B.B. Vashisht, Anil K. Choudhary
Water-intensive agricultural practices in tandem with conventional irrigation methods such as flood irrigation, has caused severe water scarcity in south-Asian Indo-Gangetic Plains (IGPs). The adoption of micro-irrigation systems (sprinker, surface drip and sub-surface drip) instead of flooding offers a great promise in water saving and enhanced fertilizer-use efficiency, and thus, improved productivity
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Effects of spring and autumn tillage, catch crops, and pig manure application on long-term nutrient leaching from a loamy sand Eur. J. Agron. (IF 5.2) Pub Date : 2024-03-12 Lisbet Norberg, Helena Aronsson
A field experiment with separately tile-drained plots was established on a sandy loam soil in 1993 to investigate management practices that can reduce nutrient leaching. Practices tested included timing of tillage in autumn or spring (ploughing with or without preceding cultivation) and catch crops in systems with mineral fertilizer alone or in combination with pig manure. Drainage water from each
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Exploring socio-psychological factors affecting farmers' intention to choose a low-water-demand cropping pattern for water resources conservation: Application of the health belief model Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-11 Amir Reza Nasiri, Seyyed Ahmadreza Shahangian, Reza Kerachian, Tahereh Zobeidi
Water scarcity threatens food security and leads to various economic, social, and environmental challenges, particularly in arid and semi-arid regions. As the agricultural sector consumes the most significant amount of water, conserving water resources in this sector is particularly important. Cultivation of low-water-demand (LWD) crops with high value-added is one of the effective measures to reduce
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The intertemporal choice study of individual water-saving irrigation construction under three water pricing and subsidy scenarios Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-11 Yang Yang, Weijun He, Ningye Jiang, Shasha Xu, Thomas Stephen Ramsey, Liang Yuan
The world is confronted with increasing droughts exacerbated by the inefficiency of irrigation, and water-saving irrigation (WSI) holds the potential to alleviate this dilemma. Since individual farmers are important participants in WSI, it is imperative to account for their decision preferences. In addition, previous research did not consider the decision reverse in the intertemporal choice of WSI
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Plastic film mulching increases crop yields and reduces global warming potential under future climate change Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-11 Li Zhang, Huihui Wei, Kaiping Zhang, Zhansheng Li, Feng-Min Li, Feng Zhang
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High-resolution satellite imagery to assess orchard characteristics impacting water use Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-10 Pierre Rouault, Dominique Courault, Fabrice Flamain, Guillaume Pouget, Claude Doussan, Raul Lopez-Lozano, Matthew McCabe, Marta Debolini
Most Orchards throughout the Mediterranean basin rely heavily on irrigation, a dependency increasing due to climate changes. Assessing the water requirement (W) is crucial and depends on different factors, including orchard age, tree density per field, inter-row management. This study proposes new methods to evaluate these characteristics with remote sensing (RS). Various remote sensors providing high
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Variations in water conservation function and attributions in the Three-River Source Region of the Qinghai–Tibet Plateau based on the SWAT model Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-10 Mei Li, Zhenhua Di, Yunjun Yao, Qian Ma
The water conservation function is one of the important ecosystem services.
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Agronomic management factors impacting yield, quality stability, and environmental footprints of barley in a mediterranean environment Field Crops Res. (IF 5.8) Pub Date : 2024-03-10 Michele Andrea De Santis, Davide Cammarano
The impact of different agronomic strategies (such as sowing, fertilization, and tillage) under different environmental conditions (soil type, and long-term weather conditions) can provide an increased knowledge on how barley grain yield, quality and environmental footprints can be optimized. The objectives of this study are to: i) understand what are the different agronomic and environmental combinations
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Usefulness of techniques to measure and model crop growth and yield at different spatial scales Field Crops Res. (IF 5.8) Pub Date : 2024-03-10 Di He, Enli Wang, John Kirkegaard, Eusun Han, Brendan Malone, Tony Swan, Stuart Brown, Mark Glover, Roger Lawes, Julianne Lilley
Within-field yield variability affects crop production and management decisions. To understand and manage this variability, different techniques have been deployed to measure and monitor the crops (and soils) at various spatial scales, including manual measurements, harvester-mounted yield monitors, proximal and remote sensing and crop simulation modelling. The value of this increasing data availability
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Effect of two alleles of Tiller Angle Control 1 on grain yield and dry matter production in rice Field Crops Res. (IF 5.8) Pub Date : 2024-03-10 Masaki Okamura, Naohiro Aoki
Improving rice plant architecture is a promising strategy for increasing yield to meet the rising demand for rice production. The effects of modifying tiller angle, a component of plant architecture, on grain yield and dry matter production are poorly understood in rice. The objective of this study was to investigate the effects of two different alleles of , a major gene responsible for tiller angle
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Improving winter wheat yield prediction by accounting for weather and model parameter uncertainty while assimilating LAI and updating weather data within a crop model Eur. J. Agron. (IF 5.2) Pub Date : 2024-03-10 Hossein Zare, Michelle Viswanathan, Tobias KD Weber, Joachim Ingwersen, Wolfgang Nowak, Sebastian Gayler, Thilo Streck
Accurate crop yield predictions play a crucial role in enabling informed policy-making to ensure food security. Beyond using advanced methods such as remote sensing and data assimilation (DA), it is essential to comprehend the influence of various sources of uncertainty on the overall prediction uncertainty. This study presents a novel approach for enhancing the accuracy of crop yield predictions by
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Maximizing potato tuber yields and nitrogen use efficiency in semi-arid environments by precision fertilizer depth application Eur. J. Agron. (IF 5.2) Pub Date : 2024-03-10 Nanhai Zhang, Haiqiang Luo, Heng Li, Mingwei Bao, Enke Liu, Weixing Shan, Xiaolong Ren, Zhikuan Jia, Kadambot H.M. Siddique, Peng Zhang
Deep nitrogen application can increase crop yields but the optimal fertilizer depth for potato production in semi-arid regions of northwest China under irrigation is unclear. Thus, we conducted a field study for two years (2021–2022) in typical irrigated farmland on the Loess Plateau to investigate whether modifying the nitrogen fertilization depth (different depths below the soil surface of 5, 15
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Multimodel ensemble estimation of Landsat-like global terrestrial latent heat flux using a generalized deep CNN-LSTM integration algorithm Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-09 Xiaozheng Guo, Yunjun Yao, Qingxin Tang, Shunlin Liang, Changliang Shao, Joshua B. Fisher, Jiquan Chen, Kun Jia, Xiaotong Zhang, Ke Shang, Junming Yang, Ruiyang Yu, Zijing Xie, Lu Liu, Jing Ning, Lilin Zhang
Accurate estimates of high-spatial-resolution global terrestrial latent heat flux (LE) from Landsat data are crucial for many basic and applied research. Yet current Landsat-derived LE products were developed using single algorithm with large uncertainties and discrepancies. Here we proposed a convolutional neural network-long short-term memory (CNN-LSTM)-based integrated LE (CNN-LSTM-ILE) framework
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Interspecific interaction and productivity in a dryland wheat/alfalfa strip intercropping Field Crops Res. (IF 5.8) Pub Date : 2024-03-09 Qianhu Ma, Yuhuan Wu, Yanan Liu, Yuying Shen, Zikui Wang
Intercropping pasture with grain crops provides a strategy for diversifying cropping systems and establishing a foundation for mixed crop-livestock farming systems. Investigating the effects of strip design and nitrogen (N) application on interspecific interaction, crop yield, N use efficiency (NUE), and land equivalent ratio (LER) in dryland wheat/alfalfa intercropping. We conducted a four-year field
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Influence of the temperature during grain filling stage and nitrogen application rate on yield and quality of indica hybrid rice Field Crops Res. (IF 5.8) Pub Date : 2024-03-09 Bo Lu, Congshan Xu, Ziyu Li, Xinao Tang, Fei Yang, Deze Xu, Guofu Zhu, Jing Zhang, Yu Jiang, Weiwei Li, Zhenghui Liu, Yanfeng Ding, Ganghua Li
Climate change threatens rice production by increasing the frequency of extreme temperatures during grain-filling stage (T). Nitrogen application can significantly affect rice yield and quality. However, the effects of interaction between T and nitrogen application rate on yield and quality of rice remains unclear. The objectives of this study were to comprehensively evaluate the quantitative regulatory
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Reduced fertilization boosts soil quality and economic benefits in semiarid apple orchard: A two-year appraisal of fertigation strategy Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-08 Wei Zhang, Jun-Sheng Lu, Ju Bai, Aziz Khan, Ling Zhao, Wei Wang, Shuang-Guo Zhu, Shu-Tong Liu, Jun-Min Jin, Gisacho Delphine Nyanchera, Shi-Qing Li, Xiao-Hong Tian, You-Cai Xiong
Long-term overfertilization not only aggravates environmental costs, but reduces the quality and yield of fruit in dryland apple orchard, and this issue is closely associated with post-germination fertilization management. On the basis of multi-year observations, we developed a targeted fertigation strategy of FORD, i.e. ormula fertilization (rational fertilizer scheme), n-demand fertilization in the
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Measurement and estimation of evapotranspiration in a maize field: A new method based on an analytical water flux model Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-08 Yutong Liu, Yili Lu, Morteza Sadeghi, Robert Horton, Tusheng Ren
Quantifying evapotranspiration () in rainfed cropping systems can be challenging due to complicated interactions among site-specific soil, plant, and management factors. In Northeast China, and soil water status in maize fields often display strong spatial and temporal variations due to the changes in tillage practice, planting pattern, and maize plant density. Previous studies have shown that near-surface
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Irrigation water economic value and productivity: An econometric estimation for maize grain production in Italy Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-08 Rebecca Buttinelli, Raffaele Cortignani, Francesco Caracciolo
Climate change, characterized by rising temperatures and limited precipitation, has intensified the demand for irrigation water while simultaneously restricting its availability. This challenge poses significant risks to agricultural and food production, particularly in the Mediterranean regions where, recently, water deficits have led to substantial production losses and quality issues. Water is a
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Enhancing productivity while reducing water footprint and groundwater depletion: Optimizing irrigation strategies in a wheat-soybean planting system Field Crops Res. (IF 5.8) Pub Date : 2024-03-08 Pengnian Wu, Yanli Wang, Jing Shao, Haolin Yu, Zhiheng Zhao, Lingyun Li, Peimeng Gao, Yuming Li, Shuimiao Liu, Chenkai Gao, Xiaokang Guan, Pengfei Wen, Tongchao Wang
Traditional agricultural practices in the Huang-Huai-Hai Plain have led to a decrease in groundwater level, coupled with frequent extreme rainfall in recent years, has seriously threatened grain production and sustainability. The objective of this study is to evaluate water footprint, groundwater table, and system productivity through a three-year field experiment that focuses on transitioning from
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Stepwise model parametrisation using satellite imagery and hemispherical photography: Tuning AquaCrop sensitive parameters for improved winter wheat yield predictions in semi-arid regions Field Crops Res. (IF 5.8) Pub Date : 2024-03-08 Bader Oulaid, Alice E. Milne, Toby Waine, Rafiq El Alami, Maryam Rafiqi, Ron Corstanje
Crop models are complex with many parameters, which has limited their application. Here we present an approach which both removes the model complexity through reducing the parameter dimensionality through sensitivity analysis, and presents a subsequent efficient approach to model parameterisation using swarm optimisation. We do this for two key model outputs, crop canopy and yield, and for two types
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Exploring grass pea (Lathyrus sativus L.) genetic diversity in Mediterranean changing climate conditions Eur. J. Agron. (IF 5.2) Pub Date : 2024-03-08 Letice Gonçalves, Diego Rubiales, Manuel Lourenço, Maria Carlota Vaz Patto
Grass pea ( L.) is an annual cool-season grain legume, recognized as a stress-resilient crop, able to thrive in unfavourable growing conditions. It is widely cultivated in different world regions, with two main ecotypes based on seed traits. Particularly, in the Mediterranean region, climate change has amplified environmental instability, creating a fundamental need for producing more resilient or
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Sap flow characteristics and water demand prediction of cash crop in hyper-arid areas Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-07 Yunfei Liu, Dongwei Gui, Xiaoping Chen, Qi Liu, Fanjiang Zeng
Crop sap flow is a critical indicator of crop water demand, and predicting its variation trend is essential for adjusting agricultural planting structure and managing water resource in hyper-arid areas. Presently, research on crop sap flow in hyper-arid areas faces limitations due to inadequate meteorological data and restricted monitoring duration, leading to imprecise assessments of environmental
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Energy availability and leaf area dominate control of ecosystem evapotranspiration in the southeastern U.S. Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-07 Maricar Aguilos, Ge Sun, Ning Liu, Yulong Zhang, Gregory Starr, Andrew Christopher Oishi, Thomas L O'Halloran, Jeremy Forsythe, Jingfeng Wang, Modi Zhu, Devendra Amatya, Benju Baniya, Steve McNulty, Asko Noormets, John King
Evapotranspiration (ET) links water, energy, and carbon balances, and its magnitude and patterns are changing due to climate and land use change in the southeastern U.S. Quantifying the environmental controls on ET is essential for developing reliable ecohydrological models for water resources management. Here, we synthesized eddy covariance data from 24 AmeriFlux sites distributed across the southeastern
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Projected effects of climate change and forest management on carbon fluxes and biomass of a boreal forest Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-07 Md. Rafikul Islam, Anna Maria Jönsson, John Bergkvist, Fredrik Lagergren, Mats Lindeskog, Meelis Mölder, Marko Scholze, Natascha Kljun
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Divergent controls of exchangeable calcium and iron oxides in regulating soil organic carbon content across climatic gradients in arid regions Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-07 Zhufeng Wang, Xin Jing, Litao Lin, Yugang Wang, Wenting Feng
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Responses of rice grain yield and quality to factorial combinations of ambient and elevated CO2 and temperature in T-FACE environments Field Crops Res. (IF 5.8) Pub Date : 2024-03-07 Xiaoxi Wang, Chuang Cai, Lian Song, Wei Zhou, Xiong Yang, Xinyue Gu, Chunwu Zhu
The responses of rice ( L.) yield and quality to the combination of elevated CO and elevated temperature under open-air field conditions are still poorly understood. A japonica rice cultivar Wuyungeng 23 was grown under four combination of two levels of CO (ambient and enriched up to 590 μmol mol) and two levels of canopy temperature (ambient and warmed by 1.7–2.2 ºC during both night-time and day-time
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What shapes yields of East African Highland banana? An explorative study from farmers’ fields Eur. J. Agron. (IF 5.2) Pub Date : 2024-03-07 Harmen den Braber, Gerrie van de Ven, Joost van Heerwaarden, Wytze Marinus, Esther Ronner, Katrien Descheemaeker, Godfrey Taulya
East African Highland banana is a main staple and cash crop for millions of people in the Great Lakes region of Africa. Reliable methods for banana yield estimation are lacking and factors underlying yield variability are not well understood. We studied the interrelations and relative importance of yield components (yield per mat, mat density, bunch weight, cycle duration and the number of bunches
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Water productivity and yield characteristics of transplanted rice in puddled soil under drip tape irrigation Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-06 Ramtin Nabipour, Mohammad Reza Yazdani, Farhad Mirzaei, Hamed Ebrahimian, Fatemeh Alipour Mobaraki
Lowland rice flooding, while consuming considerable water, has adverse environmental effects, including releasing methane into the atmosphere, aggravating climate change. Several drawbacks can be attributed to water-saving alternatives, such as aerobic rice, whereas rice drip irrigation techniques have been evaluated primarily under aerobic conditions. This study investigated drip tape irrigation technique
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Twenty-one years’ impact of using organic amendments on the productivity of rice-wheat rotation and soil properties Field Crops Res. (IF 5.8) Pub Date : 2024-03-06 Bipasha Das, Vijay Pooniya, Y.S. Shivay, R.R. Zhiipao, Niraj Biswakarma, Dinesh Kumar, Nilutpal Saikia, Anil Kumar, Prabhu Govindasamy, Anamika Barman, Jungjit Critykar
Shifting from chemical-intensive practices to organic-based farming within the rice-wheat rotation (RWR) is crucial for its long-term sustainability. This highly productive system holds a significant carbon (C) sequestration potential if managed efficiently. The dynamics of soil organic-C profoundly impacts the global climate change and crops’ productivity, necessitating the continuous monitoring of
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Increased overyielding probability and yield stability from a 5-year cotton-based intercropping Eur. J. Agron. (IF 5.2) Pub Date : 2024-03-06 Yurui Tang, Yurong Qiu, Xin Li, Haoyue Qin, Jian Wang, Shijie Zhang, Yingchun Han, Lu Feng, Guoping Wang, Beifang Yang, Yaping Lei, Shiwu Xiong, Xiaoyu Zhi, Wenli Du, Minghua Xin, Yabing Li, Xiao-Fei Li
In the context of global climate change, it is crucial to design cropping systems with high and stable crop yields. Recent studies have shown that intercropping systems can improve productivity and enhance yield stability. However, the results remain much uncertainty due to variations in cropping system and environment along with other factors. Here, a 5-year study was conducted to investigate the
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The contribution of organic and chemical fertilizers on the pools and availability of phosphorus in agricultural soils based on a meta-analysis Eur. J. Agron. (IF 5.2) Pub Date : 2024-03-06 Xing Liu, Yulan Zhang, Zhuo Wang, Zhenhua Chen
Fertilization have a potential to improve soil phosphorus (P) pool and availability, which are largely concentered in the surface layer of soils. However, the mechanism of fertilizer types on soil P pools and availability as well as their differentiations in soil depth and experimental duration remain uncertain. Therefore, we conducted a meta-analysis based on 817 observations from 142 previous researches
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Cover crops and irrigation impacts on corn production and economic returns Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-05 Dillon Russell, Gurbir Singh, Nicolas Quintana-Ashwell, Gurpreet Kaur, Drew Gholson, L. Jason Krutz, Kelly A. Nelson
Increases in irrigated crop acreage and frequent droughts during the growing season have caused continual groundwater decline of the Mississippi River Valley Alluvial Aquifer in the Mississippi Delta region. A field experiment was conducted from 2019 to 2021 to determine if combinations of irrigation scheduling thresholds and cover crops (CCs) could improve corn ( L.) production, water productivity
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Towards efficient irrigation management at field scale using new technologies: A systematic literature review Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-05 Afaf Bounajra, Kamal El Guemmat, Khalifa Mansouri, Fatiha Akef
Life on earth is linked to water resources. Recently, alarm bells have been ringing in global organizations to raise awareness of the importance of rational use of water resources, which are becoming an increasingly scarce commodity. The majority of the world's freshwater is used for agricultural irrigation, hence there is a need to adopt an intelligent irrigation strategy that will lead to sustainable
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Errors in temporal disaggregation of temperature can lead to non-negligible biases in agroecosystem risk assessment Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-05 Supriya Savalkar, Md. Redwan Ahmad Khan, Bhupinderjeet Singh, Matt Pruett, R. Troy Peters, Claudio O Stöckle, Sean E. Hill, Kirti Rajagopalan
Models are crucial for simulating complex systems and decision-making, but they have uncertainties that must be characterized and understood. One uncertainty that has been overlooked in agroecosystem assessments is that arising from the temporal disaggregation of temperature and solar radiation. Our study used data from an agricultural weather station network to investigate (a) the errors associated
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Impacts of climate change on allergenic pollen production: A systematic review and meta-analysis Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-05 Fateme Mousavi, Jose Oteros, Youcef Shahali, Paloma Carinanos
Climate change has been identified as a major driver of alterations in pollen production, with potential implications for allergenic diseases and ecosystems. This systematic review and meta-analysis examine the impacts of global warming on the Annual Pollen Integral (APIn), a measure of pollen production, across multiple plant species. We conducted a comprehensive literature review and selected studies
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Post-fire soil greenhouse gas fluxes in boreal Scots pine forests–Are they affected by surface fires with different severities? Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-05 Kajar Köster, Juliana Kohli, Henrik Lindberg, Jukka Pumpanen
Although forest fires are one of the main natural disturbance types in boreal forests, there is limited information regarding surface fires (dominant in Northern Europe), and how surface fires of different severities could affect post-fire soil greenhouse gas emissions. The results of our study show that fire severity, time since fire and post-fire changes in soil temperature were the main factors
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Effect of sowing date on radiation and temperature use efficiencies of rice in the low-light region of China Field Crops Res. (IF 5.8) Pub Date : 2024-03-05 Xiaofan Huang, Fei Deng, Chi Zhang, Qiuping Li, Yuxin He, Chenyan He, Xiaofeng Ai, Yujie Yuan, Li Wang, Hong Cheng, Tao Wang, Youfeng Tao, Wei Zhou, Xiaolong Lei, Yong Chen, Wanjun Ren
Sowing date optimization is an effective measure for adapting to climatic change and has been widely used to optimize the use of solar radiation and temperature resources in rice production. To evaluate the influences of sowing date on radiation and temperature use efficiencies (RUE and TUE, respectively) and grain yield of rice in low-light regions, field experiments with three rice varieties and
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Improving soybean yield prediction by integrating UAV nadir and cross-circling oblique imaging Eur. J. Agron. (IF 5.2) Pub Date : 2024-03-05 Guangyao Sun, Yong Zhang, Haochong Chen, Lei Wang, Mingxue Li, Xuhong Sun, Shuaipeng Fei, Shunfu Xiao, Long Yan, Yinghui Li, Yun Xu, Lijuan Qiu, Yuntao Ma
High-throughput estimation of soybean yield using unmanned aerial vehicle (UAV) imagery can help improve the efficiency of soybean breeding. Previous studies have mainly focused on the extraction of vegetation indices and texture features from two-dimensional(2D) orthophotos to construct empirical models of yield, lacking spatial structure information of crops. Therefore, UAV cross-circling oblique
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Scarcity of P-fertilisers: Humic-complexed phosphate as an adaptive solution for wheat and maize under rainfed conditions Eur. J. Agron. (IF 5.2) Pub Date : 2024-03-05 Matteo Francioni, Matteo Palmieri, Marco Fiorentini, Paola Antonia Deligios, Elga Monaci, Costantino Vischetti, Überson Boaretto Rossa, Laura Trozzo, Marco Bianchini, Chiara Rivosecchi, Luigi Ledda, Roberto Orsini, Rodolfo Santilocchi, Paride D’Ottavio
The current context of food security and global geopolitical crises calls for proactive efforts to seek adaptive strategies for limited resources in agriculture. The production of phosphatic-based fertilisers has caused a substantial depletion of natural phosphorus (P) reserves, raising concerns about price increases due to the growing demand for P. The aim of the study is to assess whether the use
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Influence of the sampling time interval of canopy temperature on the dynamic zoning of variable rate irrigation Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-04 Minne Zhang, Weixia Zhao, Changxin Zhu, Jiusheng Li
Generating spatial distribution maps of canopy temperature (T) is the basis for the dynamic management of a variable rate irrigation (VRI) system based on infrared thermometers (IRTs). To improve the accuracy of management zone delineation based on T maps for summer maize and winter wheat with IRTs mounted on a moving sprinkler irrigation system, the influence of sampling time interval of T was studied
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Climate warming advances phenological sequences of Aesculus hippocastanum Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-04 Xiaobo Li, Ruqin Fan, Xiaoying Pan, Haibin Chen, Qianqian Ma
Warming-induced shifts in plant phenology have been frequently reported in recent decades. Previous studies primarily focused on isolated phenological events; however, the entire phenological sequences of a given species were rarely examined simultaneously, limiting our knowledge about aggregate life history response to climate warming. Here, using 210,000 in situ phenological observations across 2493
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Genome-wide association study revealed the reason for the decrease in grain iron concentration during wheat breeding process in China Field Crops Res. (IF 5.8) Pub Date : 2024-03-04 Jianhui Ma, Yize Wang, Shuya Li, Qianqian Liu, Meng Yuan, Chunci Li, Daijing Zhang, Qingdong Zeng, Jianhui Wu, Chengxiang Song, Wei Li, Dejun Han, Lina Jiang
Iron (Fe) deficiency affects over two billion people worldwide. Developing high-yielding wheat ( L.) cultivars with high grain Fe concentration (GFeC) is a key step toward alleviating malnutrition in humans. In this study, we used a diversity panel of 388 wheat accessions to examine the GFeC in four field environments. We found that the mean GFeC of the four environments decreased with the release
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Early sowing dates and pre-plant nitrogen affect autumn weed control and nitrogen content of winter cover crops in rotation with spring crops Eur. J. Agron. (IF 5.2) Pub Date : 2024-03-04 M. Corti, L. Bechini, D. Cavalli, M. Ben Hassine, L. Michelon, G. Cabassi, N. Pricca, A. Perego, P. Marino Gallina
Agroecological services of cover crops depend mostly on their biomass accumulation, which in turn depends on growing season weather and on nitrogen (N) availability. We hypothesised that cover crop growth and weed control can be increased with an early sowing date and under high residual soil inorganic N left after the previous cash crop harvest. This hypothesis was tested in Northern Italy, with a
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Analysis of the responses of surface water resources to climate change in arid and semi-arid area Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-02 Jiankun Wang, Chenfeng Cui, Zhenyu Jia, Mingtao Liu, Shijie Pang, Ke Zhai
About 70% of water withdrawals in the Yellow River Basin (YRB) are used for irrigation, and deeply explanation of the effects of climate change on runoff in the YRB provides a guarantee for agricultural production. Analysis and prediction of climate change were implemented according to the meteorological and hydrological data from 1967 to 2016, and the responses of the catchments of the six hydrological
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Influence of soil hydraulic parameters on bulb size for surface and buried emitters Agric. Water Manag. (IF 6.7) Pub Date : 2024-03-02 Giorgio Baiamonte, Vincenzo Alagna, Dario Autovino, Massimo Iovino, Samuel Palermo, Girolamo Vaccaro, Vincenzo Bagarello
Predicting the size expansion of wetting bulbs during surface and subsurface drip irrigation is compulsory for water saving and helps drive irrigation design and scheduling. To solve these issues, various numerical and analytical models, which take into account for the soil hydraulic parameters have been suggested in the literature. The model introduced by Philip (1984) is based on closed-form dimensionless
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Harvest residues: A relevant term in the carbon balance of croplands? Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-02 Joachim Ingwersen, Arne Poyda, Pascal Kremer, Thilo Streck
Over the past two decades, major efforts have been made to quantify the extent to which and under what conditions croplands are sources or sinks for carbon. For this purpose, the net carbon stock change of the study site is typically quantified based on net CO fluxes monitored with an eddy covariance or chamber system, on measured C import by organic fertilizer and C export by harvest. While in cropland
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Differential advances in budburst timing among black spruce, white spruce and balsam fir across Canada Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-02 Diego S. Podadera, Lorena Balducci, Sergio Rossi, Fabrizio Cartenì, Valérie Néron, Rémi Saint-Amant, Stefano Mazzoleni, Jacques Régnière, Eric R.D. Moise, Joseph J. Bowden, Jean-Noël Candau, Alain Dupont, Luke Amos-Binks, Richard Berthiaume, Drew Carleton, Sara Edwards, Robert C. Johns, Rory L. McIntosh, Patrick Perreault, Brian Poniatowski, Fiona Ross, Mike Undershultz, Caroline Whitehouse, Annie
Budburst is a pivotal event in plant life, representing a crucial response to seasonal meteorological shifts. Boreal tree species exhibit species-specific phenologies, and the rate of phenological changes under warming conditions may differ among these species. In this study we aim to investigate the timing of budburst in three coniferous species [Balsam fir (), black spruce () and white spruce ()
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Phenotypic and genotypic analysis of blotch/tiger stripe in Australian desi-type chickpea Field Crops Res. (IF 5.8) Pub Date : 2024-03-02 Edward Chaplin, Laura Ziems, Cara Jeffrey, Chongmei Dong, John Foulkes, Richard Trethowan, Angela Pattison
The appearance of blotch/ tiger stripe on chickpea seeds is a genotype-specific seed marking which, although not considered a defect during seed inspection, is often rejected based on consumer trait preferences. This study aimed to investigate the expression of blotch/tiger stripe, thousand grain weight (TGW) and days to podding in Australian desi-type chickpea. A single seed-descent mapping population