Irrigation practices on north-east Victorian dairy farms: a survey

2005 ◽  
Vol 45 (12) ◽  
pp. 1539 ◽  
Author(s):  
D. J. Watson ◽  
G. Drysdale
Keyword(s):  
Water Use ◽  
Irrigation Water ◽  
Irrigation System ◽  
Sprinkler Irrigation ◽  
Dairy Farms ◽  
Irrigation Scheduling ◽  
Dairy Farmers ◽  
North East ◽  
Irrigation Water Use ◽  
Irrigation Practices

The north-east region of Victoria is an important water-harvesting catchment for gravity-fed irrigators downstream of Lake Mulwala. Dairy farmers are significant users of irrigation water in north-east Victoria but little was known about their irrigation practices and attitudes. A survey undertaken in 2000 collected data on irrigation practices and attitudes from 92% of the irrigating dairy farmers in the region. It found diversity in many aspects of irrigation amongst the region’s irrigated dairy farms, ranging from the proportion of the farm irrigated to the irrigation system used, and identified areas where improvements to irrigation practices could be made. More than 8 different irrigation systems were used in the region, and flood irrigation was the most commonly used. However, a large proportion (37%) of flood irrigators were contemplating changing to spray irrigation, mostly to long lateral hand move sprinkler irrigation, in an effort to improve water use efficiency. More than 50% of respondents did not meter irrigation water use, and 83% pumped water directly from rivers or creeks, with dams and dragline holes the next most common sources. Irrigation scheduling (when to start irrigating and the frequency of irrigation thereafter) and the amount of water to apply were generally based on knowledge and experience rather than on soil moisture monitoring equipment or use of evaporation rates. Most survey respondents recognised that their irrigation practices could improve and said that they would be interested in information to help them make more informed decisions about irrigation practices.

scholarly journals Assessment of Irrigation Water Use Patterns Using Remote Sensing Data in Mexico’s Northeast

10.29007/qz1w ◽  
2018 ◽  
Author(s):  
Saul Arciniega ◽  
Jose A. Breña-Naranjo ◽  
Adrián Pedrozo-Acuña ◽  
Antonio Hernández-Espriú
Keyword(s):  
Remote Sensing ◽  
Water Use ◽  
Irrigation Water ◽  
Land Surface ◽  
Irrigation System ◽  
Functional Model ◽  
Remote Sensing Data ◽  
Irrigation Scheduling ◽  
Sensing Data ◽  
Irrigation Water Use

Irrigation water use (IWU) or withdrawal is a key component for the water management of a region since it tends to exceed the crops consumptive water use, especially in water-stressed regions where groundwater is the main source of water. Nevertheless, temporal IWU information is missing in many irrigation areas. Remote sensing (RS) data is commonly used for crop water requirements estimations in areas with lack of data, however, IWU is more complex to approach since it also depends on water use efficiency, irrigation system type, irrigation scheduling, and water availability, among others. This work explores the use of remote sensing data (TRMM, MODIS) and land surface hydrological products (GLDAS 2 and MERRA 2) to obtain insights about the space-time annual IWU patterns across croplands located within Mexico’s northeast region. Reported IWU in three irrigation districts (Don Martín, Región Lagunera and Bajo Río Bravo) was used to obtain a functional model using satellite data derived. Results suggest strong relationship between reported IWU with soil moisture content from GLDAS and the maximum annual EVI from MODIS, where a potential regression shown statistical correlations of 0.83 and 0.77, respectively.

scholarly journals Using limited irrigation water - crops or pasture?

2006 ◽  
pp. 173-176 ◽  
Author(s):  
G.N. Ward ◽  
J.L. Jacobs ◽  
F.R. Mckenzie
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Irrigation Water ◽  
Irrigation System ◽  
Irrigation Management ◽  
Dairy Farmers ◽  
Forage Crops ◽  
Irrigation Water Use Efficiency ◽  
Irrigation Water Use ◽  
Use Efficiency

The irrigation of perennial pasture and the growing of dryland summer forage crops are two common methods of increasing the supply of and nutritional value of home grown forage on dairy farms in south west Victoria. In recent years the amount and reliability of supply of irrigation water to dairy farmers in the region has decreased through drought and increased regulation. Over the last 8 years a series of studies have been conducted to investigate the most efficient use of unreliable irrigation water supplies. Perennial pasture was found to be particularly sensitive in terms of reduced productivity and water use efficiency (WUE) to poor irrigation practices. However, under good management and reliable water supply it is still likely to be the easiest and most economically efficient irrigation system. Irrigated summer forage crops were found to have a higher WUE, but responses were variable due to year to year seasonal differences. These crops were found to be more tolerant of poor irrigation management and were able to take advantage of reduced amounts of irrigation water and one off irrigations. Keywords: brassicas, forage crops, irrigated pasture, irrigation, water use efficiency.

scholarly journals Optimization of irrigation water in South Africa for sustainable and beneficial use

2017 ◽  
Author(s):  
◽  
Akinola Mayowa Ikudayisi
Keyword(s):  
South Africa ◽  
Water Use ◽  
Crop Yield ◽  
Optimization Algorithm ◽  
Irrigation Water ◽  
Irrigation Scheduling ◽  
Crop Water ◽  
Land Area ◽  
Water Requirements ◽  
Irrigation Water Use

Water is an essential natural resource for human existence and survival on the earth. South Africa, a water stressed country, allocates a high percentage of its available consumptive water use to irrigation. Therefore, it is necessary that we optimize water use in order to enhance food security. This study presents the development of mathematical models for irrigation scheduling of crops, optimal irrigation water release and crop yields in Vaal Harts irrigation scheme (VIS) of South Africa. For efficient irrigation water management, an accurate estimation of reference evapotranspiration (ETₒ) should be carried out. However, due to non-availability of enough historical data for the study area, mathematical models were developed to estimate ETₒ. A 20-year monthly meteorological data was collected and analysed using two data–driven modeling techniques namely principal component analysis (PCA) and adaptive neuro-fuzzy inference systems (ANFIS). Furthermore, an artificial neural network (ANN) model was developed for real time prediction of future ETₒ for the study area. The real time irrigation scheduling of potatoes was developed using a crop growth simulation model called CROPWAT. It was used to determine the crop water productivity (CWP), which is a determinant of the relationship between water applied and crop yield. Finally, a new and novel evolutionary multi-objective optimization algorithm called combined Pareto multi-objective differential evolution (CPMDE) was applied to optimize irrigation water use and crop yield on the VIS farmland. The net irrigation benefit, land area and irrigation water use of maize, potatoes and groundnut were optimized. Results obtained show that ETₒ increases with temperature and windspeed. Other variables such as rainfall and relative humidity have less significance on the value of ETₒ. Also, ANN models with one hidden layer showed better predictive performance compared with other considered configurations. A 5-day time step irrigation schedule data and graphs showing the crop water requirements and irrigation water requirements was generated. This would enable farmers know when, where, and how much water to apply to a given farmland. Finally, the employed CPMDE optimization algorithm produced a set of non-dominated Pareto optimal solutions. The best solution suggests that maize, groundnut and potatoes should be planted on 403543.44 m2, 181542.00 m2 and 352876.05 m2areas of land respectively. This solution generates a total net benefit of ZAR 767,961.49, total planting area of 937961.49 m2 and irrigation water volume of 391,061.52 m3. Among the three crops optimized, maize has the greatest land area, followed by potatoes and groundnut. This shows that maize is more profitable than potatoes and groundnut with respect to crop yield and water use in the study area.

scholarly journals Potential and Actual Water Savings through Improved Irrigation Scheduling in Small-Scale Vegetable Production

Agronomy ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 888 ◽  
Author(s):  
Christoph Studer ◽  
Simon Spoehel
Keyword(s):  
Water Use ◽  
Irrigation Water ◽  
Drip Irrigation ◽  
Water Productivity ◽  
Irrigation Scheduling ◽  
Small Scale ◽  
Vegetable Production ◽  
Usual Practice ◽  
Irrigation Water Use ◽  
Small Scale Farmers

Appropriate irrigation scheduling for efficient water use is often a challenge for small-scale farmers using drip irrigation. In a trial with 12 farmers in Sébaco, Nicaragua, two tools to facilitate irrigation scheduling were tested: the Water Chart (a table indicating required irrigation doses) and tensiometers. The study aimed at evaluating if and to what extent simple tools can reduce irrigation water use and improve water productivity in drip-irrigated vegetable (beetroot; Beta vulgaris L.) production compared with the farmers’ usual practice. Irrigation water use was substantially reduced (around 20%) when farmers irrigated according to the tools. However, farmers did not fully adhere to the tool guidance, probably because they feared that their crop would not get sufficient water. Thus they still over-irrigated their crop: between 38% and 88% more water than recommended was used during the treatment period, resulting in 91% to 139% higher water use than required over the entire growing cycle. Water productivity of beetroot production was, therefore, much lower (around 3 kg/m3) than what can be achieved under comparable conditions, although yields were decent. Differences in crop yield and water productivity among treatments were not significant. The simplified Water Chart was not sufficiently understandable to farmers (and technicians), whereas tensiometers were better perceived, although they do not provide any indication on how much water to apply. We conclude that innovations such as drip irrigation or improved irrigation scheduling have to be appropriately introduced, e.g., by taking sufficient time to co-produce a common understanding about the technologies and their possible usefulness, and by ensuring adequate follow-up support.

scholarly journals Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data

2018 ◽  
Author(s):  
Felix Zaussinger ◽  
Wouter Dorigo ◽  
Alexander Gruber ◽  
Angelica Tarpanelli ◽  
Paolo Filippucci ◽  
...  
Keyword(s):  
Water Management ◽  
United States ◽  
Soil Moisture ◽  
Water Use ◽  
Irrigation Water ◽  
Soil Layer ◽  
Data Set ◽  
Soil Moisture Data ◽  
Irrigation Water Use ◽  
Irrigation Practices

Abstract. Effective agricultural water management requires accurate and timely information on the availability and use of irrigation water. However, most existing information on irrigation water use (IWU) lacks the objectivity and spatio-temporal representativeness needed for operational water management and meaningful characterisation of land-climate interactions. Although optical remote sensing has been used to map the area affected by irrigation, it does not physically allow for the estimation of the actual amount of irrigation water applied. On the other hand, microwave observations of the moisture content in the top soil layer are directly influenced by agricultural irrigation practices, and thus potentially allow for the quantitative estimation of IWU. In this study, we combine surface soil moisture retrievals from the spaceborne SMAP, AMSR2, and ASCAT microwave sensors with modelled soil moisture from MERRA-2 reanalysis to derive monthly IWU dynamics over the contiguous United States (CONUS) for the period 2013–2016. The methodology is driven by the assumption that the hydrology formulation of the MERRA-2 model does not account for irrigation, while the remotely sensed soil moisture retrievals do contain an irrigation signal. For many CONUS irrigation hot spots, the estimated spatial irrigation patterns show good agreement with a reference data set on irrigated areas. Moreover, in intensively irrigated areas, the temporal dynamics of observed IWU is meaningful with respect to ancillary data on local irrigation practices. State-aggregated mean IWU volumes derived from the combination of SMAP and MERRA-2 soil moisture show a good correlation with statistically reported state-level irrigation water withdrawals but systematically underestimate them. We argue that this discrepancy can be mainly attributed to the coarse spatial resolution of the employed satellite soil moisture retrievals, which fails to resolve local irrigation practices. Consequently, higher resolution soil moisture data are needed to further enhance the accuracy of IWU mapping.

scholarly journals Periodic Versus Real-time Adjustment of a Leaching Fraction-based Microirrigation Schedule for Container-grown Plants

HortScience ◽  
2020 ◽  
Vol 55 (1) ◽  
pp. 83-88 ◽  
Author(s):  
Jeff B. Million ◽  
Thomas H. Yeager
Keyword(s):  
Plant Growth ◽  
Real Time ◽  
Water Use ◽  
Water Conservation ◽  
Irrigation System ◽  
Irrigation Schedule ◽  
Irrigation Scheduling ◽  
Leaching Fraction ◽  
Reduced Water ◽  
Irrigation Practices

Two experiments were conducted to determine if a leaching fraction (LF)-guided irrigation practice with fixed irrigation run times between LF tests (LF_FX) could be improved by making additional adjustments to irrigation run times based on real-time weather information, including rain, using an evapotranspiration-based irrigation scheduling program for container production (LF_ET). The effect of the two irrigation practices on plant growth and water use was tested at three target LF values (10%, 20%, and 40%). For both Viburnum odoratissimum (Expt. 1) and Podocarpus macrophyllus (Expt. 2) grown in 36-cm-diameter containers with spray-stake microirrigation, the change in plant size was unaffected by irrigation treatments. LF_ET reduced water use by 10% compared with LF_FX in Expt. 2 but had no effect (P < 0.05) on water use in Expt. 1. Decreasing the target LF from 40% to 20% reduced water use 28% in both experiments and this effect was similar for both irrigation practices. For the irrigation system and irrigation schedule used in these experiments, we concluded that an LF-guided irrigation schedule with a target LF of 10% resulted in plant growth similar to one with a target LF of 40% and that the addition of a real-time weather adjustment to irrigation run times provided little or no improvement in water conservation compared with a periodic adjustment based solely on LF testing.

scholarly journals Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data

2019 ◽  
Vol 23 (2) ◽  
pp. 897-923 ◽  
Author(s):  
Felix Zaussinger ◽  
Wouter Dorigo ◽  
Alexander Gruber ◽  
Angelica Tarpanelli ◽  
Paolo Filippucci ◽  
...  
Keyword(s):  
Water Management ◽  
United States ◽  
Soil Moisture ◽  
Water Use ◽  
Irrigation Water ◽  
Soil Layer ◽  
Data Set ◽  
Soil Moisture Data ◽  
Irrigation Water Use ◽  
Irrigation Practices

Abstract. Effective agricultural water management requires accurate and timely information on the availability and use of irrigation water. However, most existing information on irrigation water use (IWU) lacks the objectivity and spatiotemporal representativeness needed for operational water management and meaningful characterization of land–climate interactions. Although optical remote sensing has been used to map the area affected by irrigation, it does not physically allow for the estimation of the actual amount of irrigation water applied. On the other hand, microwave observations of the moisture content in the top soil layer are directly influenced by agricultural irrigation practices and thus potentially allow for the quantitative estimation of IWU. In this study, we combine surface soil moisture (SM) retrievals from the spaceborne SMAP, AMSR2 and ASCAT microwave sensors with modeled soil moisture from MERRA-2 reanalysis to derive monthly IWU dynamics over the contiguous United States (CONUS) for the period 2013–2016. The methodology is driven by the assumption that the hydrology formulation of the MERRA-2 model does not account for irrigation, while the remotely sensed soil moisture retrievals do contain an irrigation signal. For many CONUS irrigation hot spots, the estimated spatial irrigation patterns show good agreement with a reference data set on irrigated areas. Moreover, in intensively irrigated areas, the temporal dynamics of observed IWU is meaningful with respect to ancillary data on local irrigation practices. State-aggregated mean IWU volumes derived from the combination of SMAP and MERRA-2 soil moisture show a good correlation with statistically reported state-level irrigation water withdrawals (IWW) but systematically underestimate them. We argue that this discrepancy can be mainly attributed to the coarse spatial resolution of the employed satellite soil moisture retrievals, which fails to resolve local irrigation practices. Consequently, higher-resolution soil moisture data are needed to further enhance the accuracy of IWU mapping.

scholarly journals Conservation Agriculture Saves Irrigation Water in the Dry Monsoon Phase in the Ethiopian Highlands

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2103 ◽  
Author(s):  
Sisay A. Belay ◽  
Petra Schmitter ◽  
Abeyou W. Worqlul ◽  
Tammo S. Steenhuis ◽  
Manuel R. Reyes ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Conservation Agriculture ◽  
Conventional Tillage ◽  
Irrigation Scheduling ◽  
Sub Saharan Africa ◽  
Ethiopian Highlands ◽  
Irrigation Water Use ◽  
Sub Saharan ◽  
Yield Responses ◽  
Irrigation Practices

Water resources in sub-Saharan Africa are more overstressed than in many other regions of the world. Experiments on commercial farms have shown that conservation agriculture (CA) can save water and improve the soil. Nevertheless, its benefits on smallholder irrigated farms have not been adequately investigated, particularly in dry monsoon phase in the Ethiopian highlands. We investigated the effect of conservation agriculture (grass mulch cover and no-tillage) on water-saving on smallholder farms in the Ethiopian highlands. Irrigated onion and garlic were grown on local farms. Two main factors were considered: the first factor was conservation agriculture versus conventional tillage, and the second factor was irrigation scheduling using reference evapotranspiration (ETo) versus irrigation scheduling managed by farmers. Results showed that for both onion and garlic, the yield and irrigation water use efficiency (IWUE) was over 40% greater for CA than conventional tillage (CT). The soil moisture after irrigation was higher in CA compared with CT treatment while CA used 49 mm less irrigation water. In addition, we found that ETo-based irrigation was superior to the farmers’ irrigation practices for both crops. IWUE was lower in farmers irrigation practices due to lower onion and garlic yield responses to overirrigation and greater water application variability.

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