scholarly journals The Arkansas “Most Crop per Drop” Contest: An Innovative Extension Method to Improve Irrigation Water Management Adoption

2020 ◽  
Vol 63 (6) ◽  
pp. 2083-2088
Author(s):  
Chris G. Henry ◽  
L. Jason Krutz ◽  
Ranjitsinh Mane ◽  
Greg D. Simpson

HighlightsAn integrated research and Extension program promoted adoption of computerized hole selection (CHS), surge irrigation, soil moisture monitoring, and multiple inlet rice irrigation (MIRI) for surface irrigators in Arkansas.Using a contest design, water use efficiency (WUE) was determined for maize, soybean, and rice fields, and report cards were provided to contest participants to provide feedback on their irrigation acumen.The highest yielding fields did not always result in the highest WUE.The contest was implemented on working commercial farms in the Arkansas Delta using flowmeters and in-field crop yield checks for the purpose of promoting adoption of irrigation water management (IWM).Abstract. The Arkansas “most crop per drop” irrigation contest is an integrated research and Extension program developed to assess water use, rainfall, and yield for the purpose of estimating water use efficiency (WUE). The irrigation contest resembles traditional yield contests, with the goal of documenting WUE and increasing adoption and awareness of irrigation water management (IWM) practices in the region. Adoption of IWM practices was greater for those who participated in the contest than their Arkansas peer average, with documented adoption increases of 33% for computerized hole selection, 28% for surge irrigation, and 51% for soil moisture monitoring. Keywords: Computerized hole selection, Soil moisture monitoring, Surge irrigation.

2014 ◽  
Vol 06 (13) ◽  
pp. 1248-1258
Author(s):  
Rutilo López-López ◽  
Ignacio Sánchez Cohen ◽  
Marco Antonio InzunzaIbarra ◽  
Andrés Fierro Álvarez ◽  
Gerardo Esquivel Arriaga

2021 ◽  
Vol 13 (18) ◽  
pp. 10070
Author(s):  
Komlan Koudahe ◽  
Aleksey Y. Sheshukov ◽  
Jonathan Aguilar ◽  
Koffi Djaman

A decrease in water resources, as well as changing environmental conditions, calls for efficient irrigation-water management in cotton-production systems. Cotton (Gossypium sp.) is an important cash crop in many countries, and it is used more than any other fiber in the world. With water shortages occurring more frequently nowadays, researchers have developed many approaches for irrigation-water management to optimize yield and water-use efficiency. This review covers different irrigation methods and their effects on cotton yield. The review first considers the cotton crop coefficient (Kc) and shows that the FAO-56 values are not appropriate for all regions, hence local Kc values need to be determined. Second, cotton water use and evapotranspiration are reviewed. Cotton is sensitive to limited water, especially during the flowering stage, and irrigation scheduling should match the crop evapotranspiration. Water use depends upon location, climatic conditions, and irrigation methods and regimes. Third, cotton water-use efficiency is reviewed, and it varies widely depending upon location, irrigation method, and cotton variety. Fourth, the effect of different irrigation methods on cotton yield and yield components is reviewed. Although yields and physiological measurements, such as photosynthetic rate, usually decrease with water stress for most crops, cotton has proven to be drought resistant and deficit irrigation can serve as an effective management practice. Fifth, the effect of plant density on cotton yield and yield components is reviewed. Yield is decreased at high and low plant populations, and an optimum population must be determined for each location. Finally, the timing of irrigation termination (IT) is reviewed. Early IT can conserve water but may not result in maximum yields, while late IT can induce yield losses due to increased damage from pests. Extra water applied with late IT may adversely affect the yield and its quality and eventually compromise the profitability of the cotton production system. The optimum time for IT needs to be determined for each geographic location. The review compiles water-management studies dealing with cotton production in different parts of the world, and it provides information for sustainable cotton production.


2019 ◽  
Vol 4 (1) ◽  
pp. 35
Author(s):  
I Wayan Tika ◽  
I. A. Bintang Madrini ◽  
Sumiyati .

Salah satu program penting dalam intensifikasi budidaya padi adalah pengelolaan air irigasi yang efisien. Pada subak di Bali pelaksanaan jadual tanam biasanya dilakukan secara serenpak sehingga terjadi puncak kebutuhan air yang tinggi. Akibatnya sangat berisiko terhadap kekurangan atau kelebihan air irigasai pada subak tersebut. Kondisi demikian menyebabkan efisiensi penggunaan air irigasi pada subak menjadi rendah. Salah satu solusi untuk meingkatkan efisiensi penggunaan air irigasi tersebut adalah dengan melakukan jadual tanam tidak serenpak yang pada subak dikenal dengan istilah nyorog. Dengan demikian perlu dikaji besarnya peningkatan efisiensi penggunaan air irigasi jika jadual tanam dilakukan secara nyorog Berdasarkan data yang telah dikompilasi diperoleh efisiensi penggunaan air irigasi yang dilakukan saat ini sebesar 76,52%. Saat ini pada obyek penelitian jadual tanam dibagi menjadi dua kelompok dengan beda jadual tanam antar kelompok tersebut sekitar satu bulan, dengan awal jadual tanam mulai Pebruari I.  Jika dilakukan jadual tanam secara serempak pada Pebruari II diperoleh efisiensi penggunaan air irigasi sebesar 69,05%.  Jika jadual tanam dilakukan secara nyorog dengan membagi subak menjadi empat kelompok dan setiap kelompok perbedaan jadual tanam sekitar setengah bulan serta awal jadual tanam pada Bulan Pebruari I maka diperoleh efisiensi penggunaan air irigasinya 86,52%.  Dengan demikian jadual tanam secara nyorog dapat meningkatkan efisiensi penggunaan air irigasi dari 69,05% menjadi 86,52%.    One important program in the intensification of rice cultivation is efficient irrigation water management. In subak in Bali the planting schedule is usually carried out simultaneously so that there is a high peak of water demand. As a result, it is very risky for irrigation water shortages or excess in the subak. Such conditions cause the efficiency of the use of irrigation water in subak to be low. One solution to improve the efficiency of the use of irrigation water is by not planting simultaneously which are known as nyorog in subak. Thus, it is necessary to assess the magnitude of the increase in the efficiency of the use of irrigation water if the planting schedule is carried out in a systematic manner. Based on the data that has been compiled in Subak Guama  the efficiency of the use of irrigation water is 76.52%. At present the object of the planting schedule is divided into two groups with different planting schedules between groups of about one month, with the start of the planting schedule starting in February I. If the planting schedule is simultaneously held in February II, the efficiency of irrigation water use is 69.05%. If the planting schedule is carried out systematically by dividing subak into four groups and each group different planting schedules of about half a month and the beginning of the planting schedule in February I, it is obtained that the water use efficiency of irrigation is 86.52%. Thus the planting schedule nyorog can increase the efficiency of irrigation water use through 69.05% to 86.52%.


2018 ◽  
Vol 208 ◽  
pp. 7-18 ◽  
Author(s):  
Bijan Nazari ◽  
Abdolmajid Liaghat ◽  
Mohammad Reza Akbari ◽  
Marzieh Keshavarz

1984 ◽  
Vol 20 (2) ◽  
pp. 151-159
Author(s):  
D. Boobathi Babu ◽  
S. P. Singh

SUMMARYThe results of field experiments conducted in the spring seasons (February/March to June) of 1980 and 1981 indicate that grain yields of sorghum increased with increase in frequency of irrigation. Crops sprayed with atrazine or CCC yielded more than the unsprayed control; maximum yields were obtained by the application of atrazine at 200 g ha−1. Water use efficiency decreased with increase in irrigation but increased as a result of spraying crops with either chemical. Irrigation water can be saved by the spraying of atrazine or CCC onto spring-sown sorghum.


cftm ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 180100 ◽  
Author(s):  
G. D. Spencer ◽  
L. J. Krutz ◽  
L. L. Falconer ◽  
W. B. Henry ◽  
C. G. Henry ◽  
...  

2018 ◽  
Author(s):  
Felix Zaussinger ◽  
Wouter Dorigo ◽  
Alexander Gruber ◽  
Angelica Tarpanelli ◽  
Paolo Filippucci ◽  
...  

Abstract. Effective agricultural water management requires accurate and timely information on the availability and use of irrigation water. However, most existing information on irrigation water use (IWU) lacks the objectivity and spatio-temporal representativeness needed for operational water management and meaningful characterisation of land-climate interactions. Although optical remote sensing has been used to map the area affected by irrigation, it does not physically allow for the estimation of the actual amount of irrigation water applied. On the other hand, microwave observations of the moisture content in the top soil layer are directly influenced by agricultural irrigation practices, and thus potentially allow for the quantitative estimation of IWU. In this study, we combine surface soil moisture retrievals from the spaceborne SMAP, AMSR2, and ASCAT microwave sensors with modelled soil moisture from MERRA-2 reanalysis to derive monthly IWU dynamics over the contiguous United States (CONUS) for the period 2013–2016. The methodology is driven by the assumption that the hydrology formulation of the MERRA-2 model does not account for irrigation, while the remotely sensed soil moisture retrievals do contain an irrigation signal. For many CONUS irrigation hot spots, the estimated spatial irrigation patterns show good agreement with a reference data set on irrigated areas. Moreover, in intensively irrigated areas, the temporal dynamics of observed IWU is meaningful with respect to ancillary data on local irrigation practices. State-aggregated mean IWU volumes derived from the combination of SMAP and MERRA-2 soil moisture show a good correlation with statistically reported state-level irrigation water withdrawals but systematically underestimate them. We argue that this discrepancy can be mainly attributed to the coarse spatial resolution of the employed satellite soil moisture retrievals, which fails to resolve local irrigation practices. Consequently, higher resolution soil moisture data are needed to further enhance the accuracy of IWU mapping.


2019 ◽  
Vol 23 (2) ◽  
pp. 897-923 ◽  
Author(s):  
Felix Zaussinger ◽  
Wouter Dorigo ◽  
Alexander Gruber ◽  
Angelica Tarpanelli ◽  
Paolo Filippucci ◽  
...  

Abstract. Effective agricultural water management requires accurate and timely information on the availability and use of irrigation water. However, most existing information on irrigation water use (IWU) lacks the objectivity and spatiotemporal representativeness needed for operational water management and meaningful characterization of land–climate interactions. Although optical remote sensing has been used to map the area affected by irrigation, it does not physically allow for the estimation of the actual amount of irrigation water applied. On the other hand, microwave observations of the moisture content in the top soil layer are directly influenced by agricultural irrigation practices and thus potentially allow for the quantitative estimation of IWU. In this study, we combine surface soil moisture (SM) retrievals from the spaceborne SMAP, AMSR2 and ASCAT microwave sensors with modeled soil moisture from MERRA-2 reanalysis to derive monthly IWU dynamics over the contiguous United States (CONUS) for the period 2013–2016. The methodology is driven by the assumption that the hydrology formulation of the MERRA-2 model does not account for irrigation, while the remotely sensed soil moisture retrievals do contain an irrigation signal. For many CONUS irrigation hot spots, the estimated spatial irrigation patterns show good agreement with a reference data set on irrigated areas. Moreover, in intensively irrigated areas, the temporal dynamics of observed IWU is meaningful with respect to ancillary data on local irrigation practices. State-aggregated mean IWU volumes derived from the combination of SMAP and MERRA-2 soil moisture show a good correlation with statistically reported state-level irrigation water withdrawals (IWW) but systematically underestimate them. We argue that this discrepancy can be mainly attributed to the coarse spatial resolution of the employed satellite soil moisture retrievals, which fails to resolve local irrigation practices. Consequently, higher-resolution soil moisture data are needed to further enhance the accuracy of IWU mapping.


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