Even though high field-scale uniformity of water distribution is obtained by a good designed drip irrigation system, the uniform distribution of water around the lateral lines is quite questionable. Water distribution pattern underneath the drippers is affected by many factors, of which discharge rate and amount of irrigation water applied in each irrigation event are most important. Using small drainage lysimeters, this work aimed at studying the effects of discharge rates (1, 2 and 4 l/h) and amount of irrigation water (80 and 120% of ETc) on water distribution pattern in soil and its impact on growth and yield of wheat crop.The size and shape of the wetting zones are very dependent on both rate of discharge and amount of irrigation water applied in each irrigation event. With application of the same amount of irrigation water to loamy sand soil, increasing the discharge rate allows more water to move in horizontal and vertical directions, while decreasing the discharge rate allows more water to move in vertical direction only. The highest discharge rate (4 L/h) develops a wide wetting zone that reached more than 30 cm in horizontal direction and more than 50 cm in depth. This means that using high discharge emitters in drip irrigation system well resulted in overlapping the wetted zone in horizontal direction, and in the same time may result to push the water deeply below the root zone. Therefore, it is advisable to use a low discharge rate emitters and increasing the operating time to save more water.
Field experiments were carried out at Sakha Agricultural Research Station in Egypt to compare the effect of the newly developed raised bed technique with different bed widths (RB130, RB100, RB80 cm) on wheat productivity to the conventional flat basin (FB) method during 2019/2020. The statistical analyses were carried out using a randomized complete block design. According to the results of statistical analysis, using RB130 cultivation gave the highest significant averages of water-saving (21.81%) and the highest averages of wheat 1000 kernels weight (50.05 g) over the FB method. However, no significant differences were found between RB130 and FB method, which produced the highest averages of grain yield, straw yield, and biological yield. Wheat sowing on FB gave the highest significant average of grain yield, straw yield, and biological yield than RB100, RB80 at 5% level of significance, but there were no significant differences in the number of kernels per spike, kernel weight spike, and harvest index ratio between wheat sowing on FB and RB130, RB100 or RB80. There were no significant differences in the number of kernels per spike, kernel weight spike, number of spikes per m2, straw yield, biological yield, and harvest index ratio at 5% level of significance between wheat sowing on RB130, RB100, RB80. But wheat sowing on RB130 produced the highest significant average of crop water productivity and grain yield than RB80 at 5%. Finally, according to the study findings, using raised beds cultivation resulted in saving irrigation water by 15~21% compared to a flat basin.
The existence of heavy metals residues in water, soil and air poses a serious risk to all living organisms. Heavy metals, such as Cd, Pb, Cr, Ni, and Hg, are major sources of environmental pollution, especially in areas with high anthropogenic and agriculture activities. The objective of this study is to determine the status of heavy metal concentrations of Cd, Cr, Ni, Pb, Zn, Cu, and Fe in the water bodies of Bertam River, which passes through agricultural areas. The water samples were collected randomly in three replicates from 10 sampling points along the Bertam River. The heavy metals in the water were extracted by using filter paper with a pore size of 0.45 mm. The extracted water sample was preserved by adding nitric acid (pH <2). Sample concentrations were then tested for metal concentrations using inductively coupled plasma mass spectrometry. In this study, the highest mean concentration was Fe (96.04 ± 90.43 ppb), followed by Zn (5.68 ± 0.2.34 ppb), Cu (5.13 ± 2.98 ppb), Cr (1.53 ± 0.19 ppb), Ni (0.85 ± 0.22 ppb), Pb (0.85 ± 1.61 ppb), and Cd (0.027 ± 0.02 ppb), where Fe> Zn> Cu> Pb> Cr> Ni> Cd. However, the concentrations of selected heavy metals in the water samples were below the standards recommended by the World Health Organization.
Field experiments were carried out at the Sakha Agricultural Research Station in the governorate of Kafr el Sheikh, Egypt to evaluate and optimize the irrigation performance of raised beds wheat using the WinSRFR model during 2019/2020. Raised beds (RB130 cm, and RB100 cm) were prepared using Raised bed planter. The model calibration was based on a close match between the observed and simulated curves of advance and recession time. Simulation Analysis World was used to evaluate the current irrigation performance of the raised bed furrows (RB) and the flat basin (FB) methods. The simulation analysis shows that for RB130 cm, RB100 cm, and FB irrigation systems, the application efficiencies were 80, 64, 43%, and distribution uniformities were 86, 88, 90%, and deep percolation losses were 20, 36, 56%, and adequacy were 1.07, 1.37, 2.08%, respectively. Physical Design World was used to optimize and develop different design strategies. The results showed that irrigation performance decreased with the increasing length of furrow and basin, so extremely long lengths should be avoided because they result in decreased efficiency and uniformity, as well as big deep percolation loss. Managing the inflow rate and irrigation cut-off through Operation Analysis World can increase application efficiency and reduce deep percolation losses by more than 15%, 60%, and 17%, 33%, and 23%, 17.5% respectively, for RB130 cm, RB100 cm, and FB.
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