scholarly journals Multi-Crop Production Decisions and Economic Irrigation Water Use Efficiency: The Effects of Water Costs, Pressure Irrigation Adoption, and Climatic Determinants

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.


2019 ◽  
Vol 20 (1) ◽  
pp. 83-94 ◽  
Author(s):  
Liu Dong ◽  
Zhou Lihui ◽  
Li Heng ◽  
Fu Qiang ◽  
Li Mo ◽  
...  

Abstract The evaluation of irrigation water efficiency plays an important role in the efficient use of agricultural water resources and the sustainable development of agriculture. In order to make the evaluation of irrigation water use efficiency indicators more comprehensive and scientific, this paper constructs a new optimal model of evaluation indicators. By combining the Driver-Pressure-State-Impact-Response (DPSIR) model with the Information Significance Difference (ISD) evaluation indicators model, a novel DPSIR-ISD evaluation indicators combination model was constructed. Ten riverside irrigation areas in the Sanjiang Plain of northeastern China were selected for analysis. The results show that the DPSIR-ISD model was used to reduce the number of indicators from 44 to 14; these 14 indicators reflected 91.88% of the original information. The DPSIR-ISD method proposed in this paper takes into account the completeness and simplicity of the indicators system, and is more in line with the actual situation in the field. These results can provide a simpler and more convenient system for optimizing indicators for the study of evaluation indicators used to analyze irrigation water use efficiency.


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