Agro-physiological response of potato to “sustainable” deficit irrigation in the plain of Saïs, Morocco

Bergui, Omnia El; Abouabdillah, Aziz; Bouabid, Rachid; Jaouhari, Nabil El; Brouziyne, Youssef; Bourioug, Mohamed

doi:10.1051/e3sconf/202018303001

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…For potato, some adaptations of the DI technique were tested in recent years, such as sustainable deficit irrigation (SDI), regulated deficit irrigation (RDI) and partial root-zone drying irrigation (PRD). In SDI, a uniform application of water restriction is supplied throughout the crop phenological development [8]. RDI is generally defined as an irrigation practice, where a crop is irrigated with an amount of water, which is below the full requirement for optimal crop growth [9].…”

Section: Introductionmentioning

confidence: 99%

Site-Specific Evaluation of Canopy Resistance Models for Estimating Evapotranspiration over a Drip-Irrigated Potato Crop in Southern Chile under Water-Limited Conditions

López-Olivari

Fuentes

Poblete-Echeverría

et al. 2022

Water

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The evapotranspiration () process is an essential component in many agricultural water management systems, and its estimation is even more determinant when crops are grown under water-limited environments. The traditional canopy resistance () approaches were evaluated to simulate potato evapotranspiration () using the original Penman–Monteith equation under different irrigation levels. A field study was carried out on a drip-irrigated potato crop (var. Puyehue INIA) located in the Research Center Carillanca (INIA), La Araucanía Region, Chile (38°41′ S, 72°24′ W, 188 m above sea level) during the 2018/2019 and 2019/2020 growing seasons. The different irrigation levels were full irrigation (), 75% of (), and 60% of (). The soil water content, morphological, physiological, meteorological, and micrometeorological variables were measured to calculate the different approaches and estimate ET for both growing evaluated seasons. The final values of estimated were compared to the soil water balance method (). The use of amphistomatous (LA) and hypostomatous (LH) approaches are the best alternative to estimate the on potato crops. The best estimation of ET was found for with an overestimation of 0.6% for , 7.0% for , and 13.0% for , while for with underestimations of 12.0, 11.0 and 31.0% for , , and , respectively. The lowest average values of root mean square error (RMSE), mean absolute error (MAE), and index of agreement (d) were observed for in both and conditions, with values of 4.4 and 3.2 mm, 3.2 and 2.5 mm, and 0.82 and 0.87, respectively. More investigation is necessary on the plasticity of the morphological features of potato leaves and canopy geometry, as the stomatal water vapor flowing on the canopy surface could be affected, which is a key factor in the canopy resistance model for accurate estimation under soil-water-limited conditions.

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Section: Introductionmentioning

confidence: 99%

Site-Specific Evaluation of Canopy Resistance Models for Estimating Evapotranspiration over a Drip-Irrigated Potato Crop in Southern Chile under Water-Limited Conditions

López-Olivari

Fuentes

Poblete-Echeverría

et al. 2022

Water

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“…The crop coefficient K c for the tomato [23] used in the analysis is represented in Figure 3. According to [24], the soil texture in this region is loamy-clay. For soil moisture measurement, we installed Decagon's ECH2O EC-5 device in the prototype.…”

Section: Resultsmentioning

confidence: 98%

IoT-based smart irrigation management system using real-time data

Hafian,

Benbrahim,

Kabbaj

2023

IJECE

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<p>An adequate water supply is essential for the growth and development of crops. When rainfall is insufficient, irrigation is necessary to meet crop water needs. It is a crucial and strategic aspect of economic and social development. To combat climate change, there is a need to adopt irrigation management techniques that increase and stabilize agricultural production while saving water, using intelligent agricultural water technologies. Internet of things (IoT) based technologies can achieve optimal use of water resources. This article introduces a smart realtime irrigation management system based on the internet of things. It provides optimal management of irrigation decisions using real-time weather and soil moisture data, as well as data from precipitation forecasts. The proposed algorithm is developed in real-time based on the IoT, enabling us to guide irrigation and control the amount of water in agricultural applications. The system uses real-time data analysis of climate, soil, and crop data to provide flexible planning of the irrigation system’s use. A case study from the Fez-Meknes region in Morocco is presented to demonstrate the proposed system’s effectiveness</p>

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Assessment of deficit irrigation efficiency. Case study: Middle Sebou and Innaouene downstream

et al. 2021

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Future projection shows that the availability of freshwater per capita will decrease to 560 m3/year by 2030 in Morocco. In this realm of adopting efficient irrigation, alternatives become a priority to overcome water shortage. The presented study aims to investigate theoretically the likelihood of improving irrigation efficiency at the plot level of the Middle Sebou and Innaouene downstream perimeter using 75% of the total irrigation water requirement (IWR), based on the successful results obtained by the Moroccan National Institute for Agronomic Research. The methodology consists of the extraction of monthly evaporation data from MODIS16A2 and process it under Google Earth Engine (GEE); data that are used in the second part of the study, which aims to assess the efficiency of deficit irrigation on a plot of 2,500 olive tree, using three main indexes; olive three height (cm), Stomatal conductance (mmol H2O m−2 s−1), and olive tree growth (cm). The results show that 0.75 of full irrigation could save 17% of the total water used, reducing the water irrigation supply by an average of 5 Mm3, with a slight decreasing of the olive production, estimated as 0.5 t/ha. Furthermore, water use efficiency and water productivity have been enhanced under deficit irrigation by respectively 0.25 kg/m3 and 0.54 Dh/m3. In economic terms, the result shows that with deficit irrigation, the decision-maker, or the farmer, could save about 5 million m3 per year, which is a boost to the global economy if the method is transposed and applied to other Moroccan regions and also a support for the new agricultural strategy called Generation Green.

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Agro-physiological response of potato to “sustainable” deficit irrigation in the plain of Saïs, Morocco

Cited by 3 publications

References 12 publications

Site-Specific Evaluation of Canopy Resistance Models for Estimating Evapotranspiration over a Drip-Irrigated Potato Crop in Southern Chile under Water-Limited Conditions

Site-Specific Evaluation of Canopy Resistance Models for Estimating Evapotranspiration over a Drip-Irrigated Potato Crop in Southern Chile under Water-Limited Conditions

IoT-based smart irrigation management system using real-time data

Assessment of deficit irrigation efficiency. Case study: Middle Sebou and Innaouene downstream

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