Effects of irrigation uniformity on yield response and production economics of maize in a semiarid zone

Nascimento, Ana Kelliane Silva do; Schwartz, Robert C.; Lima, Francisco Kleber A.; López-Mata, E.; Domı́nguez, A.; Izquiel, A.; Tarjuelo, J.M.; Martínez-Romero, A.

doi:10.1016/j.agwat.2018.09.051

Cited by 14 publications

(8 citation statements)

References 21 publications

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“…In order to validate MOPECO and assess its applicability, the following experiments were conducted in commercial farms under different water availability scenarios [134,[151][152][153][154].…”

Section: Applicationsmentioning

confidence: 99%

“…The effect of irrigation uniformity on maize (Zea Mays L.) yield and profitability was evaluated in 2016 in Albacete (Spain), in two adjacent sectors equipped with a solid set sprinkler irrigation system [153]. The field was managed according to FAO-56 methodology throughout the growing season to maximize grain yield without water stress (Sector S1, considering 50% adequacy) or irrigation scheduling determined by an experienced producer (Sector S2).…”

Section: Maizementioning

confidence: 99%

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Trends and Challenges in Irrigation Scheduling in the Semi-Arid Area of Spain

García

Lecina²,

Ruiz-Sánchez

et al. 2020

Water

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A growing international human population and rising living standards are increasing the demand for agricultural products. Under higher pressure over natural resources, environmental concerns are increasing as well, challenging current water use decision-making processes in irrigated agriculture. Higher agricultural productivity means water should be applied more efficiently, which requires instant information on weather, soil, and plant conditions throughout the growing season. An information-based irrigation scheduling application tightened to the spatiotemporal variability of the fields is critical for enhancing the current irrigation system and making better irrigation scheduling decisions. The aim of this study is to review current irrigation scheduling methodologies based on two case studies (woody and field crops) located in semi-arid areas of Southeast Spain. We realize that optimal irrigation programming requires consistent investment in equipment, expenditure on operation and maintenance, and qualified technical and maintenance services. These technological approaches will be worthwhile in farms with low water availability, high profitability, and significant technical-economic capacity.

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Section: Applicationsmentioning

confidence: 99%

Section: Maizementioning

confidence: 99%

Trends and Challenges in Irrigation Scheduling in the Semi-Arid Area of Spain

García

Lecina²,

Ruiz-Sánchez

et al. 2020

Water

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“…After optimization, the CU value was increased by 21% compared to before optimization. The irrigation system with high water distribution uniformity is more profitable and efficient in the yield improvement, and that can also be scheduled to achieve water conservation as well as environmental protection [28,29]. Figure 6 presents the comparison of hydraulic performance before and after optimization.…”

Section: Optimization and Validationmentioning

confidence: 99%

Improving Water Distribution Uniformity by Optimizing the Structural Size of the Drive Spoon Blades for a Vertical Impact Sprinkler

Tang

Chao

2020

Sustainability

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The aim of this study is to improve the water distribution uniformity of a vertical impact sprinkler and explore the design method of the drive spoon blades. The width of straight blades (h1), the width of curved blades (h2) and number of blades (s) were chosen as the experiential variables. The suitable ranges of three variables for response surface method were determined initially by one-factor experimental design method, and 17 different drive spoons were designed according to response surface methodology. The results showed that in the one-factor experimental condition, the CU (Christiansen’s uniformity coefficient) values first increased and decreased slightly when h1 exceeded 3 mm with the increase of h1 within the variation range of the experimental factor. The CU values firstly increased and then decreased with the increase of h2. The CU values decreased rapidly when s was less than 3 or greater than 6. The relationship between CU values and h1, h2 and s was established using response surface methodology. The p-values for h1, h2 and s were 0.0359, 0.0092, 0.0212, and all of the selected factors were significant on CU. The order of parameters affecting CU were h2, h1 and s. The ideal parameters for the drive spoon blades were h1 = 6 mm, h2 = 4 mm, and s = 3. CU was greatly improved after the optimization of structure for the drive spoon blades, which increased to 87.96% from 73.12%. After optimization, the application rates within 1 to 5 m were improved and increased from 10% to 15% with an average of 10.7% under different operating pressures. The maximum application rates decreased from 9.3, 9.3, 9.4 and 8.4 mm·h−1 to 8.5, 8.4, 8.5 and 7.9 mm·h−1 with operating pressures of 300, 400, 500 and 600 kPa, respectively. The maximum application rates in the overlap area were decreased from 18, 16, 16 and 15 mm·h−1 to 16, 14, 14 and 12 mm·h−1 with operating pressures of 300, 400, 500 and 600 kPa, respectively.

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“…Some research observed good uniformity can positively affect crop yield. The increase in the coefficient of uniformity resulted in a 4% increase in corn yield for a common irrigation strategy and an 11% increase for 17% additional irrigation application [13] [14]. In addition to corn, previous research found that increasing the uniformity of irrigation systems direct correlates with the growth of alfalfa and hay yield.…”

Section: Introductionmentioning

confidence: 99%

Demonstration of Center Pivot Uniformity Evaluation and Retrofit to Improve Water Use Efficiency

Dong¹,

Kelley²,

Anderson³

2023

JWARP

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Agricultural irrigation is a primary user for freshwater withdrawal. Irrigation plays an important role in crop production, as it provides the benefit of reducing the effects of prolonged dryness and erratic precipitation. Center pivot irrigation system is the most common irrigation system in agriculture. As the center pivot irrigation system ages, the system could develop a leaking joint, clogged sprinklers, and physical damage. This can cause areas of non-uniformity that can lead to under-or over-irrigated in some areas of the land, resulting in excess energy use and cost, wasting resources, and environmental impacts. Thus, it is important to evaluate the performance of a center pivot irrigation system regularly to maximize return on investments and minimize wasting resources. This study focuses on evaluating the impacts and benefits of improved center pivot irrigation distribution uniformity by performing distribution uniformity evaluations pre-and post-retrofit. This study also focused on demonstrating an unmanned aerial vehicle (UAV) to assess the performance of the center pivot irrigation system in two irrigated farmlands. The Coefficient of Uniformity (CU), Distribution Uniformity (DU), and Scheduling Coefficient (SC) were calculated based on the catch can test data. The values were utilized to evaluate water and energy savings from the improved coefficients. The team has found that replacing sprinkler packages increased the CU from 78 to 89 and the DU from 77 to 82, and reduced the SC from 1.3 to 1.2 in Field A.

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Effects of irrigation uniformity on yield response and production economics of maize in a semiarid zone

Cited by 14 publications

References 21 publications

Trends and Challenges in Irrigation Scheduling in the Semi-Arid Area of Spain

Trends and Challenges in Irrigation Scheduling in the Semi-Arid Area of Spain

Improving Water Distribution Uniformity by Optimizing the Structural Size of the Drive Spoon Blades for a Vertical Impact Sprinkler

Demonstration of Center Pivot Uniformity Evaluation and Retrofit to Improve Water Use Efficiency

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