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    Operational precise irrigation for cotton cultivation through the coupling of meteorological and crop growth models.

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    Authors
    Tsakmakis, Ioannis
    Kokkos, Nikolaos
    Pisinaras, Vassilios
    Papaevangelou, Vasiliki
    Hatzigiannakis, Evangelos
    Arampatzis, George
    Gikas, Georgios, D.
    Linker, Raphael
    Zoras, Stamatis cc
    Evagelopoulos, Vasilis
    Tsihrintzis, Vassilios, A.
    Battilani, Adriano
    Sylaios, Georgios
    Show allShow less
    Affiliation
    Democritus University of Thrace
    Soil and Water Resources Institute,
    National Technical University of Athens
    Canale Emiliano Romagnolo
    Issue Date
    2016-11-19
    
    Metadata
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    Abstract
    In this paper, we tested the operational capacity of an interoperable model coupling system for the irrigation scheduling (IMCIS) at an experimental cotton (Gossypium hirsutum L.) field in Northern Greece. IMCIS comprises a meteorological model (TAPM), downscaled at field level, and a water-driven cultivation tool (AquaCrop), to optimize irrigation and enhance crop growth and yield. Both models were evaluated through on-site observations of meteorological variables, soil moisture levels and canopy cover progress. Based on irrigation management (deficit, precise and farmer’s practice) and method (drip and sprinkler), the field was divided into six sub-plots. Prognostic meteorological model results exhibited satisfactory agreement in most parameters affecting ETo, simulating adequately the soil water balance. Precipitation events were fairly predicted, although rainfall depths needed further adjustment. Soil water content levels computed by the crop growth model followed the trend of soil humidity measurements, while the canopy cover patterns and the seed cotton yield were well predicted, especially at the drip irrigated plots. Overall, the system exhibited robustness and good predicting ability for crop water needs, based on local evapotranspiration forecasts and crop phenological stages. The comparison of yield and irrigation levels at all sub-plots revealed that drip irrigation under IMCIS guidance could achieve the same yield levels as traditional farmer’s practice, utilizing approximately 32% less water, thus raising water productivity up to 0.96 kg/m3.
    Citation
    Tsakmakis, I. et al (2016) 'Operational Precise Irrigation for Cotton Cultivation through the Coupling of Meteorological and Crop Growth Models', Water Resources Management, 31 (1):563 .
    Publisher
    Springer
    Journal
    Water Resources Management
    URI
    http://hdl.handle.net/10545/622242
    DOI
    10.1007/s11269-016-1548-7
    Additional Links
    http://link.springer.com/10.1007/s11269-016-1548-7
    Type
    Article
    Language
    en
    ISSN
    09204741
    EISSN
    15731650
    ae974a485f413a2113503eed53cd6c53
    10.1007/s11269-016-1548-7
    Scopus Count
    Collections
    Department of Mechanical Engineering & the Built Environment

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