Effect of the optimized regulated deficit irrigation methodology on water use in barley under semiarid conditions

Pardo, José E.; Martínez-Romero, A.; Lellis, Bruno; Tarjuelo, J.M.; Domı́nguez, A.

doi:10.1016/j.agwat.2019.105925

Cited by 36 publications

(23 citation statements)

References 38 publications

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“…To allow for real-time monitoring, several sensors were connected to wireless nodes (see Table 1 3 https://www.campbellsci.eu (accessed on 29 October 2020).…”

Section: Agronomic Sensorsmentioning

confidence: 99%

“…Regulated deficit irrigation (RDI) techniques allow controlling the water applied to the crop in critical and non-critical phenological stages, determining periods where the crop can be irrigated with much less water. Therefore, these techniques have been widely used in these areas where water is a scarce resource [1][2][3]. However, the application of RDI strategies is conditioned by crop and climatic conditions.…”

Section: Introductionmentioning

confidence: 99%

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High-Density Wi-Fi Based Sensor Network for Efficient Irrigation Management in Precision Agriculture

et al. 2021

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The application of deficit irrigation techniques is essential in arid or semi-arid areas of the southeast of Spain, where water is a scarce and very costly resource. However, to apply these techniques, it is necessary to carry out preliminary tests on the specific crop in order to develop the models that allow the optimization of water use while achieving acceptable yields. The system proposed in this article demonstrates the feasibility of using wireless technologies available in most facilities (Wireless Fidelity) to deploy a high-density network of nodes with a variety of heterogeneous sensors to collect data from the soil, plant, and atmosphere. The data are sent and stored in a cloud server for real-time visualization from any mobile device and further analysis. The nodes have been developed using low-cost processors and are equipped with batteries and solar panels, allowing their autonomy to be virtually unlimited, as shown by the consumption studies and tests carried out.

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“…To allow for real-time monitoring, several sensors were connected to wireless nodes (see Table 1 3 https://www.campbellsci.eu (accessed on 29 October 2020).…”

Section: Agronomic Sensorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High-Density Wi-Fi Based Sensor Network for Efficient Irrigation Management in Precision Agriculture

et al. 2021

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“…The main advantage of MOPECO is that it generates irrigation schedules according to the total available irrigation water in a user-friendly way, while considering complex concepts [13][14][15]. The farmers only need to insert the data from their farms and select their crops from a list of calibrated crops, mainly for the Castilla La Mancha region (CLM-Spain) (maize [13,16], onion [17], garlic [18,19], barley [20,21], potato [22], melon [23]), but also for other countries [23,24].…”

Section: Introductionmentioning

confidence: 99%

Improving the Sustainability and Profitability of Oat and Garlic Crops in a Mediterranean Agro-Ecosystem under Water-Scarce Conditions

et al. 2022

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In areas with scarce water resources, population growth and climate change scenarios will mean that there is increasingly less water available for agricultural activity. Thus, optimizing crop irrigation water management is an absolute necessity. To address this situation, the SUPROMED project (sustainable production in water-limited environments of Mediterranean agro-ecosystems), available in an online platform, brings together a series of models and methodologies designed to promote more efficient management of water, energy and fertilizers. A two-year trial (2020–2021) was implemented in the Castilla-La Mancha region (Spain), with the aim of showing the effectiveness of SUPROMED as a farm management support tool. The trial was conducted on two of the region’s most important crops (oats and garlic). A series of productive, economic, and environmental key performance indicators (KPIs) were analyzed to measure the impact of transferring MOPECO (model for the economic optimization of irrigation water use at farm level), the irrigation scheduling model integrated in the SUPROMED platform, to farmers. In 2020, the management plan proposed by SUPROMED achieved a higher yield for oat than that generated by traditional management, using 40% less water. In the case of garlic, the same yield was obtained, using 30% less water. Gross margin and gross economic irrigation water productivity were improved for both crops. In 2021, one of the selected farmers was trained to use the SUPROMED platform to work with garlic crop. This management improved most of the KPIs analyzed compared to previous management without the SUPROMED platform, obtaining similar results to those obtained by SUPROMED in 2020. The results demonstrate that the tools and models included in SUPROMED have been properly adapted and can be easily used by farmers, improving the economic and environmental sustainability of Mediterranean agroecosystems.

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“…However, given the increased cost of the energy used by the irrigation systems, the reduction of water availability for agriculture, and the low profitability of barley, farmers have shown interest in using regulated deficit irrigation. Thus, improving irrigation water productivity and coping with droughts is a priority objective to improve yield and profitability [5,6].…”

Section: Introductionmentioning

confidence: 99%

Quality of Garlic Bulbs with Irrigation Application according to Plant Needs

et al. 2022

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The irrigation technique that has been done by farmers so far has not been optimal in increasing garlic production. This study aims to evaluate the quality of garlic tubers with irrigation applications according to plant needs. The experiment was carried out in Lembang, West Java, in 2020. The method used in this study was a group design of 6 treatments with four replications. Treatment A (daily ET accumulation within two days), B (daily ET accumulation within three days), C (daily ET accumulation within four days), D (daily ET accumulation within five days), E (daily ET accumulation within six days), F (farmers' irrigation practices). The plant data obtained were analyzed using Analysis of Variance (ANOVA) at the 5% level. Data analysis was performed using the PKBT - STAT 1.01 program. The results showed that the tuber diameter in treatment B (daily ET accumulation within three days) was significantly greater than control. Weight, weight loss, and water content were not significantly different between all treatments. The volatile content in all treatments was significantly higher than control.

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Effect of the optimized regulated deficit irrigation methodology on water use in barley under semiarid conditions

Cited by 36 publications

References 38 publications

High-Density Wi-Fi Based Sensor Network for Efficient Irrigation Management in Precision Agriculture

High-Density Wi-Fi Based Sensor Network for Efficient Irrigation Management in Precision Agriculture

Improving the Sustainability and Profitability of Oat and Garlic Crops in a Mediterranean Agro-Ecosystem under Water-Scarce Conditions

Quality of Garlic Bulbs with Irrigation Application according to Plant Needs

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