Results 51 to 60 of about 1,758 (211)
AquaCrop-OSPy: Bridging the Gap between Research and Practice in Crop-Water Modelling [PDF]
Crop-growth models are powerful tools for supporting optimal planning and management of agricultural water use globally. However, use of crop models for this purpose often requires advanced programming expertise and computational resources, limiting the ...
Foster, Timothy, Kelly, Thomas
core +2 more sources
Maize is among the most important crops in Iran. Enhancing maize irrigation management is critical for alleviating the pressure on limited freshwater resources in Khorasan Razavi province.
Mahdi Gholami Sharafkhane +4 more
doaj +1 more source
Assessment of AquaCrop Model on Potato Crop in Uruguay
The potato crop (Solanum tuberosum L.) is a high important crop in Uruguay. The Southern region is the most important production area of potato there. It is considered that in this region, irrigation should be supplementary since summer rainfall rarely reach crop requirements.
F. Montoya, F. Vilaró, C. García
openaire +1 more source
ABSTRACT Crop modelling is essential for agricultural water management but often relies on simplified water balance routines that limit representation of soil moisture dynamics. To address this limitation, we developed a coupled model that integrates the 1‐D Richards equation, solved using a finite difference method into the FAO AquaCrop.
Krishna Panthi +2 more
wiley +1 more source
Modelling the impacts of in-field soil and irrigation variability on onion yield [PDF]
Globally, onion (Allium cepa L.) represents an extremely important crop in terms of production, value and consumption. Similarly, in the UK onion production is considered to be one of the most important high-value field vegetables, with ca.
Perez Ortola, Marta
core
AG-CASU : An algorithm to generate irrigation parameters and crop management strategies for the aquacrop model [PDF]
8 p. ElectrónicoThis paper presents an algorithm to generate the irrigation policies and crop management configuration files for the agroclimatic risk model AquaCrop. The software determines the parameters to be modified by a stochastic method.
Pertuz Peralta, Vanessa Paola +4 more
core +1 more source
ABSTRACT There is limited integrated evaluation of nitrogen (N) and irrigation management strategies for improving maize yield and productivity using crop models. The effects of N and irrigation on maize yield and productivity under centre pivot (CPI) and subsurface drip irrigation (SDI) using the CERES‐Maize model were investigated. N treatments were (
Ebrahim Amiri +2 more
wiley +1 more source
Coping with drought for food security in Tigray, Ethiopia [PDF]
Agricultural production in drylands suffers from drought and in sub-Saharan Africa, only about 15% of the terrestrial rainwater is used by plants for food, fodder and fiber.
Berhe, A.A.
core
Calibration and testing of AquaCrop for selected sorghum genotypes
Predicting yield response to water is important in rainfed agriculture. The objective of this study was to calibrate and test AquaCrop for simulating yield of 3 sorghum genotypes (PAN8816, a hybrid; Macia, an open-pollinated variety; and Ujiba, a landrace) grown during the 2013/14 and 2014/15 planting seasons (early, optimal and late planting dates ...
Hadebe, Sandile T +2 more
openaire +4 more sources
Framework illustrating the comparison of different reference evapotranspiration (ETo) estimation methods and the integration of baseline ETo, crop water requirement (CWR), and irrigation water requirement (IWR) calculations with downscaled CMIP6 climate projections under SSP245 and SSP585 scenarios for the mid‐century and late‐century periods across ...
Umesh Kumar Sujakhu +3 more
wiley +1 more source

