scholarly journals Global Satellite-Based ET Products for the Local Level Irrigation Management: An Application of Irrigation Performance Assessment in the Sugarbelt of Swaziland

2019 ◽  
Vol 11 (6) ◽  
pp. 705 ◽  
Author(s):  
Poolad Karimi ◽  
Bhembe Bongani ◽  
Megan Blatchford ◽  
Charlotte de Fraiture
Keyword(s):  
Remote Sensing ◽  
Performance Assessment ◽  
Management Practices ◽  
Local Level ◽  
Water Productivity ◽  
Irrigation Management ◽  
Irrigation Performance ◽  
Crop Water ◽  
Management Regime ◽  
Crop Water Productivity

Remote sensing techniques have been shown, in several studies, to be an extremely effective tool for assessing the performance of irrigated areas at various scales and diverse climatic regions across the world. Open access, ready-made, global ET products were utilized in this first-ever-countrywide irrigation performance assessment study. The study aimed at identifying ‘bright spots’, the highest performing sugarcane growers, and ‘hot spots’, or low performing sugarcane growers. Four remote sensing-derived irrigation performance indicators were applied to over 302 sugarcane growers; equity, adequacy, reliability and crop water productivity. The growers were segmented according to: (i) land holding size or grower scale (ii) management regime, (iii) location of the irrigation schemes and (iv) irrigation method. Five growing seasons, from June 2005 to October 2009, were investigated. The results show while the equity of water distribution is high across all management regimes and locations, adequacy and reliability of water needs improvement in several locations. Given the fact that, in general, water supply was not constrained during the study period, the observed issues with adequacy and reliability of irrigation in some of the schemes were mostly due to poor scheme and farm level water management practices. Sugarcane crop water productivity showed the highest variation among all the indicators, with Estate managed schemes having the highest CWP at 1.57 kg/m3 and the individual growers recording the lowest CWP at 1.14 kg/m3, nearly 30% less. Similarly center pivot systems showed to have the highest CWP at 1.63 kg/m3, which was 30% higher than the CWP in furrow systems. This study showcases the applicability of publicly available global remote sensing products for assessing performance of the irrigated crops at the local level in several aspects.

scholarly journals Influence of Spatial Resolution on Remote Sensing-Based Irrigation Performance Assessment Using WaPOR Data

2020 ◽  
Vol 12 (18) ◽  
pp. 2949
Author(s):  
Megan Blatchford ◽  
Chris M. Mannaerts ◽  
Yijian Zeng ◽  
Hamideh Nouri ◽  
Poolad Karimi
Keyword(s):  
Remote Sensing ◽  
Open Access ◽  
Performance Assessment ◽  
Spatial Resolution ◽  
Performance Indicators ◽  
Crop Production ◽  
Water Productivity ◽  
Temporal Trends ◽  
Irrigation Performance ◽  
Crop Water

This paper analyses the effect of the spatial assessment scale on irrigation performance indicators in small and medium-scale agriculture. Three performance indicators—adequacy (i.e., sufficiency of water use to meet the crop water requirement), equity (i.e., fairness of irrigation distribution), and productivity (i.e., unit of physical crop production/yield per unit water consumption)—are evaluated in five irrigation schemes for three spatial resolutions—250 m, 100 m, and 30 m. Each scheme has varying plot sizes and distributions, with average plot sizes ranging from 0.2 ha to 13 ha. The datasets are derived from the United Nations Food and Agricultural Organization (FAO) water productivity through open access of remotely sensed–derived data (the Water Productivity Open Access Portal—WaPOR) database. Irrigation indicators performed differently in different aspects; for adequacy, all three resolutions show similar spatial trends for relative evapotranspiration (ET) across levels for all years. However, the estimation of relative ET is often higher at higher resolution. In terms of equity, all resolutions show similar inter-annual trends in the coefficient of variation (CV); higher resolutions usually have a higher CV of the annual evapotranspiration and interception (ETIa) while capturing more spatial variability. For productivity, higher resolutions show lower crop water productivity (CWP) due to higher aboveground biomass productivity (AGBP) estimations in lower resolutions; they always have a higher CV of CWP. We find all resolutions of 250 m, 100 m, and 30 m suitable for inter-annual and inter-scheme assessments regardless of plot size. While each resolution shows consistent temporal trends, the magnitude of the trend in both space and time is smoothed by the 100 m and 250 m resolution datasets. This frequently results in substantial differences in the irrigation performance assessment criteria for inter-plot comparisons; therefore, 250 m and 100 m are not recommended for inter-plot comparison for all plot sizes, particularly small plots (<2 ha). Our findings highlight the importance of selecting the spatial resolution appropriate to scheme characteristics when undertaking irrigation performance assessment using remote sensing.

Irrigation Management Effects on Crop Water Productivity for Maize Production in the Texas High Plains

2021 ◽  
Vol 6 (1) ◽  
pp. 37-43
Author(s):  
Gary W. Marek ◽  
Thomas H. Marek ◽  
Steven R. Evett ◽  
Yong Chen ◽  
Kevin R. Heflin ◽  
...  
Keyword(s):  
Water Productivity ◽  
Irrigation Management ◽  
High Plains ◽  
Crop Water ◽  
Maize Production ◽  
Crop Water Productivity ◽  
Texas High Plains ◽  
Management Effects

scholarly journals Maize Seedling Establishment, Grain Yield and Crop Water Productivity Response to Seed Priming and Irrigation Management in a Mediterranean Arid Environment

Agronomy ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 756
Author(s):  
AbdAllah M. El-Sanatawy ◽  
Ahmed S. M. El-Kholy ◽  
Mohamed M. A. Ali ◽  
Mohamed F. Awad ◽  
Elsayed Mansour
Keyword(s):  
Grain Yield ◽  
Deficit Irrigation ◽  
Water Productivity ◽  
Irrigation Management ◽  
Seed Priming ◽  
Severe Drought ◽  
Arid Environments ◽  
Crop Water ◽  
Crop Water Productivity ◽  
Irrigation Regimes

Water shortage is a major environmental stress that destructively impacts maize production, particularly in arid regions. Therefore, improving irrigation management and increasing productivity per unit of water applied are needed, especially under the rising temperature and precipitation fluctuations induced by climate change. Laboratory and field trials were carried out in the present study, which were aimed at assessing the possibility of promoting maize germination, growth, grain yield and crop water productivity (CWP) using seed priming under different irrigation regimes. Two seed priming treatments, i.e., hydro-priming and hardening versus unprimed seeds, were applied under four irrigation regimes, i.e., 120, 100, 80 and 60% of estimated crop evapotranspiration (ETc). The obtained results indicated that increasing irrigation water from 100% up to 120% ETc did not significantly increase grain yield or contributing traits, while it decreased CWP. Deficit irrigation of 80 and 60% ETc gradually decreased grain yield and all attributed traits. Seed priming significantly ameliorated seedlings’ vigor as indicated by earlier germination, higher germination percentage, longer roots and shoots, and heavier fresh and dry weight than unprimed seeds with the superiority of hardening treatment. Additionally, under field conditions, seed priming significantly increased grain yield, yield contributing traits and CWP compared with unprimed treatment. Interestingly, the results reflect the role of seed priming, particularly hardening, in mitigating negative impacts of drought stress and enhancing maize growth, grain yield and attributed traits as well as CWP under deficit irrigation conditions. This was demonstrated by a significant increase in grain yield and CWP under moderate drought and severe drought conditions compared with unprimed treatment. These results highlight that efficient irrigation management and seed priming can increase maize yield and water productivity in arid environments.

scholarly journals Translating open-source remote sensing data to crop water productivity improvement actions

2022 ◽  
Vol 261 ◽  
pp. 107373
Author(s):  
Abdur Rahim Safi ◽  
Poolad Karimi ◽  
Marloes Mul ◽  
Abebe Chukalla ◽  
Charlotte de Fraiture
Keyword(s):  
Remote Sensing ◽  
Open Source ◽  
Water Productivity ◽  
Remote Sensing Data ◽  
Crop Water ◽  
Productivity Improvement ◽  
Sensing Data ◽  
Crop Water Productivity

High-yield irrigated maize in the Western U.S. Corn Belt: II. Irrigation management and crop water productivity

2011 ◽  
Vol 120 (1) ◽  
pp. 133-141 ◽  
Author(s):  
Patricio Grassini ◽  
Haishun Yang ◽  
Suat Irmak ◽  
John Thorburn ◽  
Charles Burr ◽  
...  
Keyword(s):  
Water Productivity ◽  
Irrigation Management ◽  
High Yield ◽  
Corn Belt ◽  
Crop Water ◽  
Crop Water Productivity

scholarly journals From Global Goals to Local Gains—A Framework for Crop Water Productivity

2018 ◽  
Vol 7 (11) ◽  
pp. 414 ◽  
Author(s):  
Megan Blatchford ◽  
Poolad Karimi ◽  
W.G.M. Bastiaanssen ◽  
Hamideh Nouri
Keyword(s):  
Water Use ◽  
Management Practices ◽  
Water Productivity ◽  
Global Scale ◽  
Crop Water ◽  
Crop Water Productivity ◽  
Development Goals ◽  
Spatio Temporal ◽  
Low Performance ◽  
Local Water

Crop water productivity (CWP) has become a recognised indicator in assessing the state of Sustainable Development Goals (SDG) 6.4—to substantially increase water use efficiency. This indicator, while useful at a global scale, is not comprehensive at a local scale. To fill this gap, this research proposes a CWP framework, that takes advantage of the spatio-temporal availability of remote sensing, that identifies CWP goals and sub-indicators specific to the needs of the targeted domain. Three sub-indicators are considered; (i) a global water productivity score (GWPS), (ii) a local water productivity score (LWPS) and (iii) a land and water use productivity score (YWPS). The GWPS places local CWP in the global context and focuses on maximised CWP. The LWPS differentiates yield zones, normalising for potential product, and focuses on minimising water consumption. The YWPS focuses simultaneously on improving land and water productivity equally. The CWP framework was applied to potato in the West Bank, Palestine. Three management practices were compared under each sub-indicator. The case study showed that fields with high and low performance were different under each sub-indicator. The performance associated with different management practices was also different under each sub-indicator. For example, a winter rotation had a higher performance under the YWPS, the fall rotation had a higher performance under the LWPS and under the GWPS there was little difference. The results showed, that depending on the basin goal, not only do the sub-indicators required change, but also the management practices or approach required to reach those basin goals. This highlights the importance of providing a CWP framework with multiple sub-indicators, suitable to basin needs, to ensure that meeting the SDG 6.4 goal does not jeopardise local objectives.

Sign in / Sign up

Export Citation Format

Share Document