Evaluating deficit irrigation management strategies for grain sorghum using AquaCrop

Water shortage is a major environmental stress that destructively impacts maize production, particularly in arid regions. Therefore, improving irrigation management and increasing productivity per unit of water applied are needed, especially under the rising temperature and precipitation fluctuations induced by climate change. Laboratory and field trials were carried out in the present study, which were aimed at assessing the possibility of promoting maize germination, growth, grain yield and crop water productivity (CWP) using seed priming under different irrigation regimes. Two seed priming treatments, i.e., hydro-priming and hardening versus unprimed seeds, were applied under four irrigation regimes, i.e., 120, 100, 80 and 60% of estimated crop evapotranspiration (ETc). The obtained results indicated that increasing irrigation water from 100% up to 120% ETc did not significantly increase grain yield or contributing traits, while it decreased CWP. Deficit irrigation of 80 and 60% ETc gradually decreased grain yield and all attributed traits. Seed priming significantly ameliorated seedlings’ vigor as indicated by earlier germination, higher germination percentage, longer roots and shoots, and heavier fresh and dry weight than unprimed seeds with the superiority of hardening treatment. Additionally, under field conditions, seed priming significantly increased grain yield, yield contributing traits and CWP compared with unprimed treatment. Interestingly, the results reflect the role of seed priming, particularly hardening, in mitigating negative impacts of drought stress and enhancing maize growth, grain yield and attributed traits as well as CWP under deficit irrigation conditions. This was demonstrated by a significant increase in grain yield and CWP under moderate drought and severe drought conditions compared with unprimed treatment. These results highlight that efficient irrigation management and seed priming can increase maize yield and water productivity in arid environments.

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Farming practices and deficit irrigation management improve winter wheat crop water productivity and biomass through mitigated greenhouse gas intensity under semi-arid regions

Environmental Science and Pollution Research ◽

10.1007/s11356-021-12485-w ◽

2021 ◽

Author(s):

Shahzad Ali ◽

Yueyue Xu ◽

Xiangcheng Ma ◽

Qianmin Jia ◽

Zhikuan Jia

Keyword(s):

Deficit Irrigation ◽

Arid Regions ◽

Water Productivity ◽

Irrigation Management ◽

Wheat Crop ◽

Farming Practices ◽

Crop Water ◽

Winter Wheat Crop ◽

Greenhouse Gas Intensity ◽

Semi Arid

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Criteria for HydroSOS Quality Index. Application to Extra Virgin Olive Oil and Processed Table Olives

Water ◽

10.3390/w12020555 ◽

2020 ◽

Vol 12 (2) ◽

pp. 555 ◽

Cited By ~ 3

Author(s):

Paola Sánchez-Bravo ◽

Jacinta Collado-González ◽

Mireia Corell ◽

Luis Noguera-Artiaga ◽

Alejandro Galindo ◽

...

Keyword(s):

Olive Oil ◽

Deficit Irrigation ◽

Quality Index ◽

Fruits And Vegetables ◽

Management Practices ◽

Irrigation Management ◽

Virgin Olive Oil ◽

Extra Virgin Olive Oil ◽

Table Olives ◽

The Impact

Water, especially in arid and semiarid regions, is increasingly a disputed commodity among different productive sectors; the pressure for a more sustainable use of water in agriculture will grow. The main strategy to cope with water scarcity is the use of improved, innovative, and precise deficit irrigation management practices which are able to minimize the impact on fruit yield and quality. The aim of this paper was to develop a certification index or hydroSOS quality index for extra virgin olive oil and processed table olives. The hydrosSOS fruits and vegetables are those cultivated under regulated deficit irrigation (RDI). Different indicators in three quality areas ((i) fatty acids, (ii) phenolic compounds, and (iii) sensory attributes) were identified as showing characteristic or typical responses under RDI conditions. Marks or scores were assigned to each one of these indicators to calculate the proposed index. It can be concluded that an extra virgin olive oil (EVOO) or processed table olives are hydroSOStainable foods, if they meet 2 conditions: (i) fulfill the conditions established in the hydroSOS “irrigation” index, and (ii) fulfill the requirements of the hydroSOS “quality” index. HydroSOS quality index will be specific to each crop and variety and will depend on functional and sensory factors.

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Photosynthetic efficiency and production of cowpea cultivars under deficit irrigation

Ambiente e Agua - An Interdisciplinary Journal of Applied Science ◽

10.4136/ambi-agua.2133 ◽

2018 ◽

Vol 13 (5) ◽

pp. 1 ◽

Cited By ~ 1

Author(s):

Alberto Soares de Melo ◽

Allisson Rafael Ferreira da Silva ◽

Alexson Filgueiras Dutra ◽

Wellison Filgueiras Dutra ◽

Marcos Eric Barbosa Brito ◽

...

Keyword(s):

Water Deficit ◽

Deficit Irrigation ◽

Photosynthetic Efficiency ◽

Arid Regions ◽

Carbon Fixation ◽

Management Strategies ◽

Carbon Assimilation ◽

Green Beans ◽

Gas Exchanges ◽

Cowpea Cultivars

Cowpea is a crop with great economic, social and food importance in semi-arid regions, but its production is drastically reduced by the water deficit in these regions, requiring better management strategies that allow the crop’s production. This study therefore aimed to evaluate the photosynthetic efficiency and production of cowpea cultivars under deficit irrigation replacement levels. The experiment tested three cowpea genotypes (G1 = ‘BRS Aracé’, G2 = ‘BR 17 Gurguéia’ and G3 = ‘BRS Marataoã’) and four irrigation depths (40, 60, 80 and 100% of ETc), resulting in a 3 x 4 factorial scheme, arranged in randomized complete blocks design with four replicates. During the experiment, the gas exchanges, chlorophyll a fluorescence and production of the cowpea genotypes under deficit irrigation were evaluated. Carbon fixation in the photosynthetic metabolism of cowpea plants was reduced by accentuated water deficit, regardless of the genotype. The low stress severity was indicated by the lack of effects on chlorophyll fluorescence, indicating that the reduction in the rate of carbon assimilation was due to the stomatal effects. The irrigation with 80% of ETc can be used in the cultivation of the respective cultivars, but with small losses in the production. Among the genotypes, ‘BRS Marataoã’ stands out with respect to yield, with higher values for weight of pods and green beans.

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Response of tomato cultivars to irrigation management strategies employed by emerging farmers in the Greater Giyani Municipality

South African Journal of Plant and Soil ◽

10.1080/02571862.2021.1913767 ◽

2021 ◽

pp. 1-13

Author(s):

Tebogo J Lebea ◽

Nebo Jovanovic ◽

Mapotso Kena ◽

Kwabena K Ayisi ◽

Wisani G Mushadu

Keyword(s):

Irrigation Management ◽

Management Strategies ◽

Tomato Cultivars

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Soil moisture assessment based on Sentinel 1/2 and in-situ data: The vineyard case study

10.5194/egusphere-egu21-16507 ◽

2021 ◽

Author(s):

Maria Paula Mendes ◽

Ana Paula Falcão ◽

Magda Matias ◽

Rui Gomes

Keyword(s):

Soil Moisture ◽

Climate Models ◽

Root Zone ◽

Irrigation Management ◽

Management Strategies ◽

Winter Period ◽

Classification Algorithms ◽

Precipitation Regime ◽

Terrain Attributes ◽

Sentinel 2

Vineyards are crops whose production has a major economic impact in the Portuguese economy (~750 million euros) being exported worldwide. As the climate models project a larger variability in precipitation regime, the water requirements of vineyards can change and drip irrigation can be responsible for salt accumulation in the root zone, especially when late autumn and winter precipitation is not enough to leach salts from the soil upper horizons, turning the soil unsuitable for grape production.The aim of this work is to present a methodology to map surface soil moisture content (SMC) in a vineyard, (40 hectares) based on the application of two classification algorithms to satellite imagery (Sentinel 1 and Sentinel 2). Two vineyard plots were considered and three field campaigns (December 2017, January 2018 and May 2018) were conducted to measure soil moisture contents (SMC). A geostatistical method was used to estimate the SM class probabilities according to a threshold value, enlarging the training set (i.e., SMC data of the two plots) for the classification algorithms. Sentinel-1 and Sentinel-2 images and terrain attributes fed the classification algorithms. Both methods, Random Forest and Logistic Regression, classified the highest SMC areas, with probabilities above 14%, located close to a stream at the lower altitudes.RF performed very well in classifying the topsoil zones with lower SMC during the autumn-winter period (F-measure=0.82).This delineation allows the prevention of the occurrence of areas affected by salinization, indicating which areas will need irrigation management strategies to control the salinity, especially under climate change, and the expected increase in droughts.

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