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Irrigation Science最新文献

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Effect of multifunctional irrigation on grape quality: a case study in Northern Italy 多功能灌溉对葡萄品质的影响:以意大利北部为例
IF 3 2区 农林科学 Q1 AGRONOMY Pub Date : 2023-01-17 DOI: 10.1007/s00271-022-00837-4
Bianchi Davide, Bolognini Martino, Brancadoro Lucio, Cazzaniga Sara, Ferrari Daniele, Masseroni Daniele, Modina Davide, Ortuani Bianca, P. Carola, Gandolfi Claudio
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引用次数: 1
Drip irrigation with saline water combined with mulch cover as strategies for forage cactus production in semi-arid zones 半干旱区盐水滴灌加覆盖对饲用仙人掌生产的影响
IF 3 2区 农林科学 Q1 AGRONOMY Pub Date : 2023-01-17 DOI: 10.1007/s00271-022-00841-8
Fernanda Daniele Gonçalves Dantas, M. V. F. Santos, G. F. Lima, J. J. Coêlho, J. F. D. Medeiros, M. V. Cunha
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引用次数: 1
Scheduling irrigation for improving water productivity and fruit quality in citrus (cv. Nagpur mandarin) under a dry tropical climate 灌溉调度对提高柑橘水分生产力和果实品质的影响。那格浦尔普通话)在干燥的热带气候下
IF 3 2区 农林科学 Q1 AGRONOMY Pub Date : 2023-01-09 DOI: 10.1007/s00271-023-00847-w
P. Panigrahi
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引用次数: 1
Yield and water relations of two apple cultivars under irrigation 灌溉条件下两个苹果品种的产量与水分关系
IF 3 2区 农林科学 Q1 AGRONOMY Pub Date : 2023-01-05 DOI: 10.1007/s00271-022-00839-2
L. Plavcová, M. Mészáros, Radek Jupa, K. Scháňková, Z. Kovalíková, J. Náměstek, Aneta Mahrová
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引用次数: 3
Evaluation of the effect of soil salinity on the crop coefficient (Kc) for cotton (Gossypium hirsutum L.) under mulched drip irrigation in arid regions 干旱区土壤盐分对膜下滴灌棉花作物系数(Kc)影响的评价
IF 3 2区 农林科学 Q1 AGRONOMY Pub Date : 2023-01-02 DOI: 10.1007/s00271-022-00842-7
Chao Ma, Jun Wang, Jiusheng Li
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引用次数: 1
Estimating crop coefficients and actual evapotranspiration in citrus orchards with sporadic cover weeds based on ground and remote sensing data. 基于地面和遥感数据的柑橘散发性覆盖杂草果园作物系数和实际蒸散量估算
IF 3 2区 农林科学 Q1 AGRONOMY Pub Date : 2023-01-01 DOI: 10.1007/s00271-022-00829-4
Matteo Ippolito, Dario De Caro, Giuseppe Ciraolo, Mario Minacapilli, Giuseppe Provenzano

Accurate estimations of actual crop evapotranspiration are of utmost importance to evaluate crop water requirements and to optimize water use efficiency. At this aim, coupling simple agro-hydrological models, such as the well-known FAO-56 model, with remote observations of the land surface could represent an easy-to-use tool to identify biophysical parameters of vegetation, such as the crop coefficient Kc under the actual field conditions and to estimate actual crop evapotranspiration. This paper intends, therefore, to propose an operational procedure to evaluate the spatio-temporal variability of Kc in a citrus orchard characterized by the sporadic presence of ground weeds, based on micro-meteorological measurements collected on-ground and vegetation indices (VIs) retrieved by the Sentinel-2 sensors. A non-linear Kc(VIs) relationship was identified after assuming that the sum of two VIs, such as the normalized difference vegetation index, NDVI, and the normalized difference water index, NDWI, is suitable to represent the spatio-temporal dynamics of the investigated environment, characterized by sparse vegetation and the sporadic presence of spontaneous but transpiring soil weeds, typical of winter seasons and/or periods following events wetting the soil surface. The Kc values obtained in each cell of the Sentinel-2 grid (10 m) were then used as input of the spatially distributed FAO-56 model to estimate the variability of actual evapotranspiration (ETa) and the other terms of water balance. The performance of the proposed procedure was finally evaluated by comparing the estimated average soil water content and actual crop evapotranspiration with the corresponding ones measured on-ground. The application of the FAO-56 model indicated that the estimated ETa were characterized by root-mean-square-error, RMSE, and mean bias-error, MBE, of 0.48 and -0.13 mm d-1 respectively, while the estimated soil water contents, SWC, were characterized by RMSE equal to 0.01 cm3 cm-3 and the absence of bias, then confirming that the suggested procedure can produce highly accurate results in terms of dynamics of soil water content and actual crop evapotranspiration under the investigated field conditions.

准确估算作物的实际蒸散量对于评估作物需水量和优化水分利用效率至关重要。为此,将简单的农业水文模型(如众所周知的FAO-56模型)与陆地表面的远程观测相结合,可以成为一种易于使用的工具,用于识别植被的生物物理参数,如实际田间条件下的作物系数Kc,并估算实际作物蒸散量。因此,本文拟提出一种基于地面微气象测量数据和Sentinel-2传感器获取的植被指数(VIs)的操作程序,以评估以地面杂草零星存在为特征的柑橘园Kc的时空变异性。假设归一化植被指数(NDVI)和归一化水分指数(NDWI)这两个VIs的和适合代表所调查环境的时空动态,即植被稀疏和零星存在自发但蒸发量的土壤杂草,典型的冬季和/或土壤表面湿润事件之后的时期,从而确定了非线性的Kc(VIs)关系。然后将Sentinel-2栅格(10 m)中每个单元的Kc值作为空间分布的FAO-56模型的输入,以估计实际蒸散发(ETa)和其他水分平衡项的变率。最后,通过比较估算的平均土壤含水量和实际作物蒸散量与相应的地面测量值,对所提方法的性能进行了评价。应用FAO-56模型,估算ETa的均方根误差(RMSE)和平均偏倚误差(MBE)分别为0.48和-0.13 mm d-1,而估算土壤含水量(SWC)的RMSE为0.01 cm3 cm-3,且无偏倚。结果表明,该方法能较准确地反映土壤水分动态和作物实际蒸散量。
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引用次数: 4
Irrigation challenges in the COVID-19 scenario. COVID-19 方案中的灌溉挑战。
IF 3.1 2区 农林科学 Q1 AGRONOMY Pub Date : 2023-01-01 Epub Date: 2023-01-20 DOI: 10.1007/s00271-022-00843-6
Leonor Rodriguez Sinobas, Guiseppe Provenzano
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引用次数: 0
Effects of delayed irrigation and different planting patterns on carbon emissions and yield of winter wheat in the North China Plain 延迟灌溉和不同种植模式对华北平原冬小麦碳排放及产量的影响
IF 3 2区 农林科学 Q1 AGRONOMY Pub Date : 2022-12-23 DOI: 10.1007/s00271-022-00838-3
Shengzhe Hong, Fengli Jiao, Ming Li, Qin Zhang, Yuzhao Ma, Quanqi Li
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引用次数: 0
Mathematical modelling technique to mitigate soil moisture measurement inaccuracies under the conditions of drip irrigation 滴灌条件下降低土壤水分测量误差的数学建模技术
IF 3 2区 农林科学 Q1 AGRONOMY Pub Date : 2022-12-18 DOI: 10.1007/s00271-022-00835-6
Vsevolod Bohaienko, M. Romashchenko, A. Sardak, Anatolii Gladky
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引用次数: 1
Canna x generalis irrigated with greywater in a nature-based solution 在基于自然的解决方案中用灰水灌溉Canna x general
IF 3 2区 农林科学 Q1 AGRONOMY Pub Date : 2022-12-16 DOI: 10.1007/s00271-022-00836-5
Caroline dos Santos de Menezes, Karen M Takahashi, C. G. Bacchi, L. B. de Lima, P. L. Paulo
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引用次数: 0
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Irrigation Science
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