Effect of irrigation systems, amounts of irrigation water and mulching on corn yield, water use efficiency and net profit

2013 ◽  
Vol 120 ◽  
pp. 64-71 ◽  
Author(s):  
M.H. Abd El-Wahed ◽  
E.A. Ali
2004 ◽  
Vol 44 (2) ◽  
pp. 131 ◽  
Author(s):  
C. J. Linehan ◽  
D. P. Armstrong ◽  
P. T. Doyle ◽  
F. Johnson

Water use efficiency (WUE) in irrigated dairy systems has been defined, in this paper, as the amount of milk (kg milk fat plus protein) produced from pasture per megalitre of water (irrigation plus effective rainfall). A�farm survey was conducted for the 1997–98 and 1998–99 seasons in the Goulburn Irrigation System (GIS) and Murray Irrigation System (MIS) when the irrigation water allocated to irrigators in the GIS was low (100–120% of water right compared with the MIS which was 130 and 200% of water right). These data were analysed in conjunction with information collected on the same farms in the 1994–95 and 1995–96 seasons when the irrigation water allocated to irrigators in both systems was above 150% of water right (Armstrong et al. 1998, 2000). The aim of the survey was to determine if the management decisions made by dairy farmers in seasons of low irrigation water allocations had an impact on WUE.Milk production averaged across the 2 irrigation systems increased significantly over the 5-year period (57 540–75 040 kg milk fat + protein per farm). Over the same period the amount of irrigation water applied (GIS�7.6 ML/ha, MIS 9.2 ML/ha) and the milking area (GIS 72 ha, MIS 73 ha) remained constant. The amount of concentrates fed per cow (GIS 650–1100 kg DM, MIS 480–860 kg DM) and per farm (GIS 119–228 t DM, MIS�72–157 t DM) increased, but pasture consumption (GIS 8.9–9.5 t DM/ha, MIS 9.1–9.7 t DM/ha) did not increase significantly over the survey period. Therefore, the increase in milk production appeared to come primarily from an increase in supplementary feeding rather than an increase in pasture consumption, resulting in no significant change in WUE in either system (GIS 66 kg milk fat + protein/ML, MIS 61 kg milk fat + protein/ML).The survey results indicate that despite varying water allocations in the 2 major irrigation systems in northern Victoria, milk production on farms in both systems increased while changes in WUE could not be detected by the methods used. This suggests tactical options to increase WUE in response to short-term changes in water allocation were either difficult to implement or not a priority in a business sense.


Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1637 ◽  
Author(s):  
Yubing Fan ◽  
Raymond Massey ◽  
Seong Park

In an irrigated multi-crop production system, farmers make decisions on the land allocated to each crop, and the subsequent irrigation water application, which determines the crop yield and irrigation water use efficiency. This study analyzes the effects of the multiple factors on farmers’ decision making and economic irrigation water use efficiency (EIWUE) using a national dataset from the USDA Farm and Ranch Irrigation Survey. To better deal with the farm-level data embedded in each state of the U.S., multilevel models are employed, which permit the incorporation of state-level variables in addition to the farm-level factors. The results show higher costs of surface water are not effective in reducing water use, while groundwater costs show a positive association with water use on both corn and soybean farms. The adoption of pressure irrigation systems reduces the soybean water use and increases the soybean yield. A higher EIWUE can be achieved with the adoption of enhanced irrigation systems on both corn and soybean farms. A high temperature promotes more the efficient water use and higher yield, and a high precipitation is associated with lower water application and higher crop yield. Intraclass correlation coefficients (ICC) suggest a moderate variability in water application and EIWUE is accounted by the state-level factors with ICC values greater than 0.10.


2016 ◽  
Author(s):  
◽  
Yubing Fan

Due to climate change, the amount of rainfall, and its uneven temporal and spatial distribution, affect water availability. As a result, both households and farmers need to adapt to climate change by taking appropriate actions. This dissertation incorporates insights from scholarship on both adaptation to climate change and innovation adoption. For residents, adopting drought tolerant plants (DTPs) to conserve water use is a potential adaptation to the predicted effects of climate change. Survey responses from 624 households in Missouri are analyzed using a univariate probit model. DTPs adoption is positively correlated with both low and high household incomes, homeownership, living in rural subdivisions, mowing lawns high, time spent on yardwork, pro-environmental attitudes, and concerns about droughts. Policy interventions might include subsidizing the purchase of DTPs, requirements for use of DTPs in new housing developments, and targeted educational efforts. To encourage farmers to conserve water and use water more efficiently, understanding their decision-making on adoption of enhanced irrigation systems and scientific scheduling practices is essential. Using data from the national 2013 Farm and Ranch Irrigation Survey (FRIS) conducted by USDA, this dissertation employs a mixed and multilevel approach to analyze both land- and crop-specific irrigation decisions. Three land-level equations on irrigation share, irrigation application rate, and harvest share are estimated. Results show that irrigation share, application rate and harvest share are associated with variables related to water costs, farm size, irrigation systems, barriers to improvements, information sources, etc. In addition, the adoption decisions are analyzed focusing on corn and soybean farms using multilevel models (MLMs) as they can better deal with the farm-level data embedded in states. Application of MLMs to the analysis of farmers' adoption provides new insights on the proportion of variability in each response accounted for by farm- versus state-level factors. The results suggest that, while adoption is affected by land areas, off-farm surface water, various barriers and information sources, the variability of pressure irrigation adoption is mainly accounted for by factors at the state level, while the adoption of scientific scheduling practices is mainly accounted for by farm-level variation. Controlling for farm-level factors, farmers in areas with drought conditions in 2012, i.e., lower than average rainfall and higher than average temperatures, are more likely to have adopted pressure irrigation systems and scientific scheduling practices by 2013. In addition, sustainability of water resources requires producers to take account of marginal user costs when making production decisions. Adoption of enhanced irrigation systems and higher water cost can achieve potential improvements in irrigation water use efficiency. In a multicrop production system with irrigation, farmers make decisions about land allocated to each crop, irrigation water application, and their decisions, along with growing conditions, determine crop supply. This dissertation also analyses water application to multiple crops at the farm level and the effects of influential factors on irrigation water use efficiency of specific crops. As MLMs permit the incorporation of state-level variables, they are further applied in analyzing the multicrop production decisions and irrigation water use efficiency. The results show higher water price encourages efficient water use. Moreover, adoption of pressure irrigation systems could reduce soybean water use or increase corn yield. Adoption of pressure irrigation increases the economic irrigation water use efficiency on soybean farms. The findings from MLMs show that variables representing deviations from 30 year state average climate conditions in 2012 and 2013 have fairly consistent effects. Climate risks and higher temperatures promote more efficient water use and higher yields. Higher precipitation is correlated with lower water application and higher crop yield. Federal programs and policy should not only target specific barriers and increase the effectiveness of incentives at the farm level, but also address differing priorities in each state. Implications from these analyses should benefit future policy design and improve education programs.


Agronomy ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 228
Author(s):  
Ikram Ullah ◽  
Hanping Mao ◽  
Ghulam Rasool ◽  
Hongyan Gao ◽  
Qaiser Javed ◽  
...  

This study was conducted to investigate the effects of various irrigation water (W) and nitrogen (N) levels on growth, root-shoot morphology, yield, and irrigation water use efficiency of greenhouse tomatoes in spring–summer and fall–winter. The experiment consisted of three irrigation water levels (W: 100% of crop evapotranspiration (ETc), 80%, and 60% of full irrigation) and three N application levels (N: 100%, 75%, and 50% of the standard nitrogen concentration in Hoagland’s solution treatments equivalent to 15, 11.25, 7.5 mM). All the growth parameters of tomato significantly decreased (p < 0.05) with the decrease in the amount of irrigation and nitrogen application. Results depicted that a slight decrease in irrigation and an increase in N supply improved average root diameter, total root length, and root surface area, while the interaction was observed non-significant at average diameter of roots. Compared to the control, W80 N100 was statistically non-significant in photosynthesis and stomatal conductance. The W80 N100 resulted in a yield decrease of 2.90% and 8.75% but increased irrigation water use efficiency (IWUE) by 21.40% and 14.06%. Among interactions, the reduction in a single factor at W80 N100 and W100 N75 compensated the growth and yield. Hence, W80 N100 was found to be optimal regarding yield and IWUE, with 80% of irrigation water and 15 mM of N fertilization for soilless tomato production in greenhouses.


Author(s):  
Recep Cakir

The article contains data obtained from evaluations related to irrigation water use efficiency (IWUE) and water use efficiency (WUE), for the main crops, irrigated at different stages of growth, on the basis of some findings obtained in the Research Institute in Kırklareli. Each of the experimental crops was sown and farmed following procedures applied by the farmers in the region, except of the irrigation applications which were based on the sensitivity of a certain crop to water shortage in the soil, during the specific growth stages. Similar procedures were applied and all the experimental treatments were irrigated at growth stages, as predicted in the research methodology, and water amounts required to fill the 0-90 cm soil depth to field capacity were implied. Evaluation data obtained from the field experiments with three major crops, grown on the non-coastal lands of Thrace Region showed, that the productivity of irrigation water, as well as water use efficiencies of all analysed crops, are growth stage controlled. The highest IWUE and WUE efficiencies of 0.87 and 0.92 kg da-1 m-3; and 1.08 kg da-1 m-3 and 0.81 kg da-1 m-3; were determined for wheat and sunflower crops, irrigated at booting and flowering stages, respectively. Each m3 of irrigation water, applied during the most sensitive fruit formation stage (Ff) of pumpkin crop, provided additionally 8.47 kg da-1 fruit yield, 8.09 fruit numbers and 0.28 kg da-1 seed yields, more than those of rainfed farming (R).


Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 495 ◽  
Author(s):  
Pingfeng Li ◽  
Huang Tan ◽  
Jiahang Wang ◽  
Xiaoqing Cao ◽  
Peiling Yang

Although water-saving measures are increasingly being adopted in orchards, little is known about how different irrigation methods enhance water use efficiency at the root system level. To study the allocation of water sources of water absorption by cherry roots under two irrigation methods, surface irrigation and drip irrigation, oxygen isotope tracing and root excavation were used in this study. We found that different irrigation methods have different effects on the average δ18O content of soil water in the soil profile. The IsoSource model was applied to calculate the contribution rate of water absorption by cherry roots under these irrigation methods. During the drought period in spring (also a key period of water consumption for cherry trees), irrigation water was the main source of water absorbed by cherry roots. In summer, cherry roots exhibited a wide range of water absorption sources. In this case, relative to the surface irrigation mode, the drip irrigation mode demonstrated higher irrigation water use efficiency. After two years of the above experiment, root excavation was used to analyze the effects of these irrigation methods on the distribution pattern of roots. We found that root distribution is mainly affected by soil depth. The root system indexes in 10–30 cm soil layer differ significantly from those in other soil layers. Drip irrigation increased the root length density (RLD) and root surface area (RSA) in the shallow soil. There was no significant difference in root biomass density (RBD) and root volume ratio (RVR) between the two irrigation treatments. The effects of these irrigation methods on the 2D distribution of cherry RBD, RLD, RSA and RVR, which indicated that the cherry roots were mainly concentrated in the horizontal depths of 20 to 100 cm, which was related to the irrigation wet zone. In the current experiment, more than 85% of cherry roots were distributed in the space with horizontal radius of 0 to 100 cm and vertical depth of 0 to 80 cm; above 95% of cherry roots were distributed in the space with the horizontal radius of 0 to 150 cm and the vertical depth of 0 to 80 cm. Compared with surface irrigation, drip irrigation makes RLD and RSA more concentrated in the horizontal range of 30–100 cm and vertical range of 0–70 cm.


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