Role of Short-Term Weather Forecast Horizon in Irrigation Scheduling and Crop Water Productivity of Rice

2021 ◽  
Vol 147 (8) ◽  
pp. 05021009
Author(s):  
Varaprasad Anupoju ◽  
BVN P Kambhammettu ◽  
Satish K Regonda
Keyword(s):  
Water Productivity ◽  
Weather Forecast ◽  
Irrigation Scheduling ◽  
Crop Water ◽  
Short Term ◽  
Forecast Horizon ◽  
Crop Water Productivity

scholarly journals Performance Evaluation of Sesame under Regulated Deficit Irrigation Application in the Low Land of Western Gondar, Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Sisay Ambachew Mekonnen ◽  
Assefa Sintayehu
Keyword(s):  
Deficit Irrigation ◽  
Crop Production ◽  
Water Productivity ◽  
Irrigation Scheduling ◽  
Growth Stages ◽  
Crop Water ◽  
Crop Water Productivity ◽  
Moisture Deficit ◽  
North Western ◽  
Western Ethiopia

Sesame (Sesamum indicum L.) is the leading oil seed crop produced in Ethiopia. It is the second most important agricultural commodity for export market in the country. It is well suited as an alternative crop production system, and it has low crop water requirement with moderate resistance to soil moisture deficit. The low land of North Western Ethiopia is the major sesame producer in the country, and the entire production is from rainfed. The rainfall distribution in North Western Ethiopia is significantly varied. This significant rainfall variability hampers the productivity of sesame. Irrigation agriculture has the potential to stabilize crop production and mitigate the negative impacts of variable rainfall. This study was proposed to identify critical growth stages during which sesame is most vulnerable to soil moisture deficit and to evaluate the crop water productivity of sesame under deficit irrigation. The performance of sesame to stage-wise and uniform deficit irrigation scheduling technique was tested at Gondar Agricultural Research Center (Metema Station), Northern Western Ethiopia. Eight treatments, four stage-wise deficit, two uniform deficit, one above optimal, and one optimal irrigation applications, were evaluated during the 2017 irrigation season. The experiment was designed as a randomized complete block design with three replications. Plant phenological variables, grain yield and crop water productivity, were used for performance evaluation. The result showed that deficit irrigation can be applied both throughout and at selected growth stages except the midseason stage. Imposing deficit during the midseason gave the lowest yield indicating the severe effect of water deficit during flowering and capsule initiation stages. When deficit irrigation is induced throughout, a 25% uniform deficit irrigation can give the highest crop water productivity with no or little yield reduction as compared with optimal irrigation. Implementing deficit irrigation scheduling technique will be beneficial for sesame production. Imposing 75% deficit at the initial, development, late season growth stages or 25% deficit irrigation throughout whole seasons will improve sesame crop water productivity.

scholarly journals Crop water productivity and yield response of two greenhouse basil (Ocimum basilicum L.) cultivars to deficit irrigation

2021 ◽  
Author(s):  
Morteza Goldani ◽  
Mohammad Bannayan ◽  
Fatemeh Yaghoubi
Keyword(s):  
Deficit Irrigation ◽  
Water Productivity ◽  
Irrigation Scheduling ◽  
Yield Response ◽  
Relative Reduction ◽  
Crop Evapotranspiration ◽  
Crop Water ◽  
Crop Water Productivity ◽  
Significant Difference ◽  
Herb Yield

Abstract This two-year study aimed to determine the most appropriate irrigation scheduling and crop water productivity (CWP) of basil plant under controlled conditions in Ferdowsi University of Mashhad, Iran. The experimental layout was a split-plot design with three replications. Three deficit irrigation (DI) levels (DI0: 100%, DI30: 70% and DI60: 40% of the field capacity) and two basil cultivars (Green and Purple) were applied to main and subplots, respectively. The results showed that there was a decrease in yield and an increase in CWP for fresh leaves and fresh and dry herb by decreasing the irrigation water. However, a significant difference between fresh leaves and fresh and dry herb yield of DI0 and DI30 treatment was not observed. The Green basil had higher leaves and herb yield and CWP than other cultivar. A polynomial relationship was stablished between fresh leaves yield and crop evapotranspiration, however the yield response factor (Ky) indicated a linear relationship between the relative reduction in crop evapotranspiration vs. the relative reduction in yield. The Ky values were obtained as 0.70 and 0.76 for Green and Purple basil, respectively. The results revealed that the irrigation regime of 30% water saving could insure acceptable yield of basil plant and increase in CWP, especially for the Green basil cultivar.

Using short-term ensemble weather forecast to evaluate outcomes of irrigation

2021 ◽  
Author(s):  
Danlu Guo ◽  
Andrew Western ◽  
Quan Wang ◽  
Dongryeol Ryu ◽  
Peter Moller ◽  
...  
Keyword(s):  
Soil Water ◽  
Root Zone ◽  
Water Status ◽  
Water Productivity ◽  
Limited Resource ◽  
Weather Forecast ◽  
Irrigation Scheduling ◽  
Irrigation Event ◽  
Optimal Timing ◽  
Short Term

<p>Irrigation water is an expensive and limited resource. Previous studies show that irrigation scheduling can boost efficiency by 20-60%, while improving water productivity by at least 10%. In practice, scheduling decisions are often needed several days prior to an irrigation event, so a key aspect of irrigation scheduling is the accurate prediction of crop water use and soil water status ahead of time. This prediction relies on several key inputs such as soil water, weather and crop conditions. Since each input can be subject to its own uncertainty, it is important to understand how these uncertainties impact soil water prediction and subsequent irrigation scheduling decisions.</p><p>This study aims to evaluate the outcomes of alternative irrigation scheduling decisions under uncertainty, with a focus on the uncertainties arising from short-term weather forecast. To achieve this, we performed a model-based study to simulate crop root-zone soil water content, in which we comprehensively explored different combinations of ensemble short-term rainfall forecast and alternative decisions of irrigation scheduling. This modelling produced an ensemble of soil water contents to enable quantification of risks of over- and under-irrigation; these ensemble estimates were summarized to inform optimal timing of next irrigation event to minimize both the risks of stressing crop and wasting water. With inclusion of other sources of uncertainty (e.g. soil water observation, crop factor), this approach shows good potential to be extended to a comprehensive framework to support practical irrigation decision-making for farmers.</p>

scholarly journals Modeling the role of irrigation in winter wheat yield, crop water productivity, and production in China

2007 ◽  
Vol 26 (1) ◽  
pp. 21-33 ◽  
Author(s):  
Junguo Liu ◽  
David Wiberg ◽  
Alexander J. B. Zehnder ◽  
Hong Yang
Keyword(s):  
Winter Wheat ◽  
Water Productivity ◽  
Wheat Yield ◽  
Crop Water ◽  
Crop Water Productivity ◽  
Winter Wheat Yield

scholarly journals Forty Years of Increasing Cotton’s Water Productivity and Why the Trend Will Continue

2020 ◽  
Vol 36 (4) ◽  
pp. 457-478
Author(s):  
Edward M Barnes ◽  
B. Todd Campbell ◽  
George Vellidis ◽  
Wesley Porter ◽  
Jose Payero ◽  
...  
Keyword(s):  
United States ◽  
Water Use ◽  
Irrigation Water ◽  
Water Productivity ◽  
The United States ◽  
Irrigation Scheduling ◽  
Crop Water ◽  
Water Requirements ◽  
Crop Water Productivity ◽  
The U.S

Highlights Over the last 40 years the amount of irrigation water used by cotton in the United States has decreased while yields have increased leading to a large increase in crop water productivity (CWP). Many factors have contributed to improved CWP, such as improvements in water delivery systems. Irrigation scheduling technologies have also contributed to improved CWP; however, farmer adoption of advanced scheduling technologies is still limited and there is significant room for improvement. Increased yields from improved cultivars without an increase in water requirements has also been important for CWP. Continued developments in sensor technologies and improved crop simulation models are two examples of future strategies that should allow the U.S. cotton industry to continue an upward trend in CWP. Abstract. Over the last 40 years the amount of irrigation water used by cotton in the United States has decreased while yields have increased. Factors contributing to higher water productivity and decreased irrigation water use include migration of cotton out of the far western U.S. states to the east where more water requirements are met by rainfall; improved irrigation delivery systems with considerable variation in types and adoption rates across the U.S.; improved irrigation scheduling tools; improved genetics and knowledge of cotton physiology, and improved crop models that can help evaluate new irrigation strategies rapidly and inexpensively. The considerable progress over the last 40 years along with the promise of emerging technologies suggest that this progress will continue. Keywords: Cotton, Crop water productivity, Irrigation, Sustainability, Water use efficiency.

Assessing crop yield and crop water productivity and optimizing irrigation scheduling of winter wheat in the Haihe plain using hydrological model

2020 ◽  
Author(s):  
Chen Sun ◽  
Xu Xu
Keyword(s):  
Winter Wheat ◽  
Crop Yield ◽  
Irrigation Water ◽  
Water Productivity ◽  
Swat Model ◽  
Irrigation Scheduling ◽  
Crop Water ◽  
Potential Yield ◽  
Irrigation Amount ◽  
Crop Water Productivity

<p>Haihe plain is an important food production area in China, facing an increasing water shortage. The water used for agriculture accounts for about 70% of total water resources. Thus, it is critical to optimize the irrigation scheduling for saving water and increasing crop water productivity (CWP). This study firstly simulated crop yield and CWP for winter wheat in historical scenario during 1961-2005 for Haihe plain using previously well-established SWAT model. Then scenarios under historical irrigation (scenario 1) and sufficient irrigation (scenario 2) were respectively simulated both with sufficient fertilizer. The crop yield in scenario 2 was considered as the potential crop yield. The optimal irrigation scheduling with sufficient fertilizer (scenario 3) was explored by iteratively adjusting irrigation scheduling based on the scenario 1 and previous studies related to water stress on crop growth. Results showed that net irrigation amount was reduced 23.1% in scenario 3 for winter wheat when compared with scenario 1. The CWP was 12.1% higher with very slight change of crop yield. Using optimal irrigation scheduling could save 8.8×10<sup>8</sup> m<sup>3</sup> irrigation water and reduce about 16.3% groundwater over-exploitation in winter wheat growth period. The corresponding yield was 18.5% less than potential yield for winter wheat but using less irrigation water. Therefore, it could be considered that the optimal irrigation was reasonable, which provided beneficial suggestions for increasing efficiency of agricultural water use with sustainable crop yield in Haihe plain.</p>

OPTIMIZED IRRIGATION SCHEDULING USING SWAT FOR IMPROVED CROP WATER PRODUCTIVITY

2020 ◽  
Vol 69 (3) ◽  
pp. 387-397
Author(s):  
Jagadish Padhiary ◽  
Janaki Ballav Swain ◽  
Kanhu charan Patra
Keyword(s):  
Water Productivity ◽  
Irrigation Scheduling ◽  
Crop Water ◽  
Crop Water Productivity
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