On the Use of Decision-Support Tools for Improved Irrigation Management: AquaCrop-Based Applications

Wellens, Joost; Raes, Dirk; Tychon, Bernard

doi:10.5772/67009

Cited by 7 publications

(4 citation statements)

References 33 publications

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“…In some cases, AquaCrop-based decision support systems have been developed (e.g. Zinyengere et al, 2011;Wellens et al, 2017), but the model has been used as a research tool rather than for its inclusion in decision support tools. Another important AquaCrop application is evaluating the impact of changing environmental features (19 percent of publications; Figure 3.16).…”

Section: What Are the Main Topics Of The Research Publications On Aqu...mentioning

confidence: 99%

The AquaCrop model – Enhancing crop water productivity

2021

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Introduction 1.1. The importance of enhancing crop water productivity 1.2. Goals, scope, structure and target audience of the report 2. Modelling crop yield response to water for enhancing water productivity 2.1. Introduction 2.2. Growth-engines of crop models 2.3. The AquaCrop model 3. AquaCrop -Research Development, improvement and application 3.1. Analysing AquaCrop impact on research -Methodology 3.2. Scope of research activities and institutions involved 3.3. Relevance of research publications 3.4. Topics trends in focus 4. AquaCrop -Training and dissemination 4.1. Strategies of training and dissemination 4.2. Scope of training and dissemination 5. AquaCrop on the ground 5.1. FAO projects -Objectives and scope 5.2. Partners' projects -Objectives and scope 6. Conclusions -Impacts, challenges and the way forward References iv A special thanks to James Morgan (NSL) for the design of the report.

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Section: What Are the Main Topics Of The Research Publications On Aqu...mentioning

confidence: 99%

The AquaCrop model – Enhancing crop water productivity

2021

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“…У більшості випадків завдяки змодельованим стратегіям зрошення в Бельгії, Тунісі, Мозамбіку економія води в середньому становила 18-23% (Wellens et al, 2017). Результати моделювання з різними кліматичними умовами показують, з одного боку, здатність моделі прогнозувати потенційну евапотранспірацію, а з іншого боку, планувати зрошення порівняно з непрогнозним підходом і можливим запобіганням водного та інших стресів врожаю (Tawegoum et al, 2017 Рис.…”

Section: обговоренняunclassified

Simulation of seed productivity of the rice varieties in the conditions of the South of Ukraine

Вожегов¹,

Tsilinko²,

Zorina³

2019

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The processes of simulation yields and water consumption of the rice varieties of domestic selection Ukraine-96, Premium, Viscount with the help of the FAO AquaCrop model are described. As experimental data, we used the results of research on improvement of growing technologies of rice seeds, which were conducted during 2016-2018 years at the Institute of Rice of National Academy of Agrarian Sciences of Ukraine. The research was carried out in accordance with the common requirements of the experiment work and the technique of state strain testing of agricultural crops. The data of the climatic conditions of the South of Ukraine, biometric and structural characteristics of the varieties of culture under investigation, agrotechnics, physical soil and water indicators were introduced into the information system regarding the proposed AquaCrop algorithm and its conceptual provisions. The most optimal for water saving and the amount of biomass received among other simulation scenarios was the option of formation of biologically optimal irrigation schedule with an irrigation interval of allowable depletion 78% of RAW (readily available groundwater in the root zone) and a depth of 20 mm. The summarized results of simulation show that the most effective on the amount of accumulated biomass and yield was the Viscount variety with the values, respectively, 21.11 t/ha, 9.50 t/ha-in 2016 year and 19.20 t/ha, 8.83 t/ha-in 2017 year. Calculated by the program rate of irrigation in 2016 year 860 mm (8,600 m 3 /ha) was lower than the rate in 2017 year (900 mm) with the same rate of irrigation 200 m 3 /ha. In 2018, the highest indicators of biomass (21.99 t/ha) and crop yield (10.12 t/ha) were obtained in the variety Ukraine-96 with the irrigation rate of 880 mm. The results of our research with using FAO AquaCrop agrotechnology demonstrate this system as a progressive tool with a future perspective for planning the rice production process in crop yield simulation with the aim of comparison of existing and future perspective varieties according to their properties, creating the most optimal irrigation strategies for water saving and less pressure on environment.

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“…AquaCrop requires the selection of inputs related to the irrigation method, such as sprinkler, drip, or surface. These methods determine the fraction of the soil surface made wet by irrigation [82] and the impact on irrigation efficiency [83].…”

Section: Model Parameterisationmentioning

confidence: 99%

Simulation of Crop Growth and Water-Saving Irrigation Scenarios for Lettuce: A Monsoon-Climate Case Study in Kampong Chhnang, Cambodia

Ket

Garré

Oeurng

et al. 2018

Water

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Setting up water-saving irrigation strategies is a major challenge farmers face, in order to adapt to climate change and to improve water-use efficiency in crop productions. Currently, the production of vegetables, such as lettuce, poses a greater challenge in managing effective water irrigation, due to their sensitivity to water shortage. Crop growth models, such as AquaCrop, play an important role in exploring and providing effective irrigation strategies under various environmental conditions. The objectives of this study were (i) to parameterise the AquaCrop model for lettuce (Lactuca sativa var. crispa L.) using data from farmers' fields in Cambodia, and (ii) to assess the impact of two distinct full and deficit irrigation scenarios in silico, using AquaCrop, under two contrasting soil types in the Cambodian climate. Field observations of biomass and canopy cover during the growing season of 2017 were used to adjust the crop growth parameters of the model. The results confirmed the ability of AquaCrop to correctly simulate lettuce growth. The irrigation scenario analysis suggested that deficit irrigation is a "silver bullet" water saving strategy that can save 20-60% of water compared to full irrigation scenarios in the conditions of this study.

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On the Use of Decision-Support Tools for Improved Irrigation Management: AquaCrop-Based Applications

Cited by 7 publications

References 33 publications

The AquaCrop model – Enhancing crop water productivity

The AquaCrop model – Enhancing crop water productivity

Simulation of seed productivity of the rice varieties in the conditions of the South of Ukraine

Simulation of Crop Growth and Water-Saving Irrigation Scenarios for Lettuce: A Monsoon-Climate Case Study in Kampong Chhnang, Cambodia

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