The Challenges of Water Saving in Rice Irrigation: Field Assessment of Alternate Wetting and Drying Flooding and Drip Irrigation Techniques in the Lis Valley, Portugal

Gonçalves, José M.; Nunes, Manuel; Jordão, António; Ferreira, Susana; Eugénio, Rui; Bigeriego, Javier; Duarte, Isabel; Amador, Paula; Filipe, Olga M.S.; Damásio, Henrique; Bahćevandžiev, Kiril

doi:10.1007/978-3-030-75315-3_11

Cited by 5 publications

(6 citation statements)

References 13 publications

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“…The major identified problems are related to: (i) the water scarcity in several areas, exacerbated by drought events and the consequent deterioration of water quality; (ii) soil salinization and pollution in general, which have encouraged water policies leading to the rational use of this resource; and (iii) the effects of climate change [64]. In our study, the average irrigation water applied in the three seasons was 1259 mm, which is in line with the results obtained by other studies (e.g., 1208 mm [65] and 1291 mm [66]).…”

Section: Evapotranspiration and Irrigation Water Appliedsupporting

confidence: 91%

A Remote-Sensing-Assisted Estimation of Water Use in Rice Paddy Fields: A Study on Lis Valley, Portugal

2023

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Rice culture is one of the most important crops in the world, being the most consumed cereal grain (755 million tons in 2020). Since rice is usually produced under flooding conditions and water performs several essential functions for the crop, estimating its water needs is essential. Remote sensing techniques have shown effectiveness in estimating and monitoring the water use in crop fields. An estimation from satellite data is a challenge, but could be very useful, in order to spatialize local estimates and operationalize production models. This study intended to derive an approach to estimate the actual crop evapotranspiration (ETa) in rice paddies from a temporal series of satellite images. The experimental data were obtained in the Lis Valley Irrigation District (central coast of Portugal), during the 2019 to 2021 rice growing seasons. The average seasonal ETa (FAO56) resulted 586 ± 23 mm and the water productivity (WP) was 0.47 ± 0.03 kg m−3. Good correlations were found between the crop coefficients (Kc) proposed by FAO and the NDVI evolution in the control rice fields, with R2 ranging between 0.71 and 0.82 for stages II+III (development + middle) and between 0.76 and 0.82 for stage IV (late). The results from the derived RS-assisted method were compared to the ETa values obtained from the surface energy balance model METRIC, showing an average estimation error of ±0.8 mm d−1, with a negligible bias. The findings in this work are promising and show the potential of the RS-assisted method for monitoring ETa and water productivity, capturing the local and seasonal variability in rice growing, and then predicting the rice yield, being a useful and free tool available to farmers.

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Section: Evapotranspiration and Irrigation Water Appliedsupporting

confidence: 91%

A Remote-Sensing-Assisted Estimation of Water Use in Rice Paddy Fields: A Study on Lis Valley, Portugal

2023

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“…According to Goncalves et al (2021), alternate wetting and drying irrigation saved 10% irrigation water with no additional significant rice grain yield losses. In the present study, among the brown manuring practices in DSR, the higher water saving percentage (23.13%) was observed in hand weeding at 20 and 45 DAS followed by brown manuring with sesbania at 20 kg ha -1 (20.9%).…”

Section: Water Saving Percentagementioning

confidence: 99%

Impact of alternate wetting and drying irrigation and brown manuring on water use, weed control and yield of drum seeded rice

Aravinth

Avudaithai

Ramesh

et al. 2023

JANS

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Direct-seeded rice (DSR) is a cost-effective and environmentally friendly method of crop establishment. Weed menaces in DSR considerably reduce the yield potential, which can be addressed by effective irrigation and weed management practices. Information on the impact of various water-saving irrigations and brown manure (BM) on water use, weed studies, and the yield of drum-sown rice is very limited. A field investigation was conducted to determine the effects of alternate wetting and drying irrigation (AWDI) methods (10 cm, 15 cm dropped from FWT and farmers practices) and BM (Sesbania at 15, 20 and 25 kg ha-1, Pretilachlor 0.45 kg ha-1 as PE fbBispyribac Na 25 g ha-1 as PoE + hand weeding (HW) on 45 DAS, HW at 20 and 45 DAS, and weedy check. The results revealed that AWDI at 15 cm depletion of FWT with HW on 20 and 45 DAS increased the water use efficiency (5.3 kg ha mm-1), water productivity (0.53 kg m-3), water saving percentage (35.83%), and reduced the water consumption (770 mm). Continuous submergence with HW at 20 and 45 DAS significantly increased grain (4.4 t ha-1) and straw yield (6.5 t ha-1). At the same time, it reduced the grasses (53.3 and 58.4%) and sedges (76 and 75%), density and dry weight, respectively, over AWDI at 10 cm dropped from FWT. Thus, irrigation at 10 cm below FWT with sesbania BM at 20 kg ha-1 could be recommended for higher productivity of drum-sown rice under sodic soil conditions.

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“…On average, the rice crop season in this region is from May to October, when harvesting takes place. The crop season lasts approximately 140-150 days [44]; for this type of long cultivation cycle [45], the vegetative phase typically lasts between 75 and 85 days for According to the Köppen-Geiger climate classification, the climate in the study area is Csb. Summers are temperate with low precipitation, and winters are rainy with mild temperatures [40].…”

Section: Study Areamentioning

confidence: 99%

“…The soils are predominantly of alluvial origin and have high agricultural value; however, in some areas, they are poorly drained, facing waterlogging and salinization risks, particularly in the downstream areas where rice is cultivated in traditional rice paddies.On average, the rice crop season in this region is from May to October, when harvesting takes place. The crop season lasts approximately 140-150 days[44]; for this type of long cultivation cycle[45], the vegetative phase typically lasts between 75 and 85 days for direct-seeded rice. Direct wet seeding is applied, and the conventional irrigation practice is the continuous flooding of the rice fields.…”

mentioning

confidence: 99%

Applying RGB-Based Vegetation Indices Obtained from UAS Imagery for Monitoring the Rice Crop at the Field Scale: A Case Study in Portugal

Gerardo,

de Lima

2023

Agriculture

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Nowadays, Unmanned Aerial Systems (UASs) provide an efficient and relatively affordable remote sensing technology for assessing vegetation attributes and status across agricultural areas through wide-area imagery collected with cameras installed on board. This reduces the cost and time of crop monitoring at the field scale in comparison to conventional field surveys. In general, by using remote sensing-based approaches, information on crop conditions is obtained through the calculation and mapping of multispectral vegetation indices. However, some farmers are unable to afford the cost of multispectral images, while the use of RGB images could be a viable approach for monitoring the rice crop quickly and cost-effectively. Nevertheless, the suitability of RGB indices for this specific purpose is not yet well established and needs further investigation. The aim of this work is to explore the use of UAS-based RGB vegetation indices to monitor the rice crop. The study was conducted in a paddy area located in the Lis Valley (Central Portugal). The results revealed that the RGB indices, Visible Atmospherically Resistant Index (VARI) and Triangular Greenness Index (TGI) can be useful tools for rice crop monitoring in the absence of multispectral images, particularly in the late vegetative phase.

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The Challenges of Water Saving in Rice Irrigation: Field Assessment of Alternate Wetting and Drying Flooding and Drip Irrigation Techniques in the Lis Valley, Portugal

Cited by 5 publications

References 13 publications

A Remote-Sensing-Assisted Estimation of Water Use in Rice Paddy Fields: A Study on Lis Valley, Portugal

A Remote-Sensing-Assisted Estimation of Water Use in Rice Paddy Fields: A Study on Lis Valley, Portugal

Impact of alternate wetting and drying irrigation and brown manuring on water use, weed control and yield of drum seeded rice

Applying RGB-Based Vegetation Indices Obtained from UAS Imagery for Monitoring the Rice Crop at the Field Scale: A Case Study in Portugal

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