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Evaluation of Water and Wheat Productivity under Center Pivot Sprinkler Irrigation in Desert Soils/Holly Karbala Governorate
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Two field experimسents were conducted in one of the fields of the Agriculture Division of Ain Al-Tamr /Holy Karbala Governorate at two sites of different textures during the agricultural season 2020/2021. The first site has sandy loam texture (gypsum soils). The second site has loamy sand texture (calcareous soils). The factors of the study included: The first factor included two types of soil, gypsum and calcareous soil. The second factor is the tillage systems (no-tillage, spring spike harrows, disc harrows, and mold board plow). The experiment was designed in the two study sites according to the RCBD with three replications. The Valley type center pivot irrigation system was evaluated before planting, three speeds, 30, 50 and 100% of the speeds of the system installed in the control panel, were selected, each speed was calibrated with three pressures of 140, 170 and 200 kPa to find the best pressure with each speed by achieving the best water parameters (Uniformity coefficient, distribution Uniformity for the least quarter and addition efficiency). The results of the study reached the depth of water added in the two study sites was 808.62 and 732.25 mm season-1, and ETa was 850.12 and 776.03 mm season-1 for gypsum and calcareous soils, respectively. The highest water productivity of crop and field in calcareous soil reached 10.40 and 9.81 kg m-3 compared to the treatment of gypsum soil, which amounted to 8.57 and 8.15 kg m-3, respectively.

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Publication Date
Tue Jan 01 2013
Journal Name
Iraqi Journal Of Agricultural Sciences
PERFORMANCE, VARIANCE COMPONENTS AND HERITABILITY OF OATS CULTIVERS UNDER IRRIGATION INTERVALS
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Seeds of five cultivars of oats (Avena sativa) were introduced from Italy in 2009. Seeds were propagated on the farm of the Dept. of Field Crops Sci. / Coll. of Agric. / Univ. of Baghdad in the season 2009 – 2010. The cultivars Anatolia, Alguda, Hamel, Pimula and Genzania were planted under 3 irrigation intervals; 3, 4 and 5 weeks to give water depth of 480, 400 and 320 mm, respectively . The depth of water was 80 mm each irrigation. A factorial experiment with RCBD of 4 replicates was conducted in 2 consecutive seasons in 2010 – 2011 and 2011 – 2012. The cultivar Alguda gave highest grain yield (8.07 t/ ha) under 480 mm, and 7.02 t / ha average of 3 water depths. This cultivar was characterized by high growth rate (13.2 g/m2/ d) that

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Publication Date
Fri Nov 10 2017
Journal Name
Iosr Journal Of Agriculture And Veterinary Science (iosr-javs)
Influence of adding ascorbic acid and yeast on growth and yield and Rhizobium of snap bean (Phaseolus vulgaris L.) under irrigation with saline water
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A field experiment was carried out in Horticulture Department / Collage of Agricultur e/University of Baghdad to study influence of adding ascorbic acid(asa) and bread yeast extract in snap bean cv.primel under irrigation with saline water using sodium chloride salt (NaCl) during spr ing season of 2016 .A factorial experiment using Randomized Complete Block Design( RCBD) with three replications wereconducted . The first factor includes three treatments of salinity which were tap water ( S0), 4ds.m-1(S1) and 8ds.m-1 (S2) . The second factor includes three treatments which were control treatment without any adding (C) ,ascorbic acid 0.3g.l-1( A ) and yeast extract 12g.l -1( Y ). Results showed significant and gradually decreases in all studie

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Publication Date
Sun Sep 01 2013
Journal Name
Baghdad Science Journal
Induction of antioxidant enzymes in wheat (Triticum spp.) grown under salt stress
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A pot culture experiment was conducted at the greenhouse of soil and water resources department in College of Agriculture, University of Baghdad in Abo-Ghraib at season 2009-2010 to investigate the effects of using foliar application of some macro and micronutrients in induce antioxidant enzymes in wheat grown under salt stress . Doar85 planted under three levels of salt stress, and three combinations of foliar application were used from nutrients (K+ Ca) at 3000 and 1500 mg.L-1 respectively, and (Fe + Zn + Mn) at 30, 20, and 10 mg.L-1 respectively , and ( K+ Ca) + (Fe+ Zn + Mn). The results showed that increasing levels of sodium chloride in the irrigation of water significantly increased at p<0.05 level SOD and POD activity

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Publication Date
Fri Jul 01 2022
Journal Name
Iop Conference Series: Earth And Environmental Science
Evaluation of Soil Quality and Health Indices in Relation to Soil Physical Properties of Fedak Farm in Holly Najaf Province
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Fadak farm project was selected to conduct this study in and to evaluate the state of quality and health indices in term of soil physical properties, where this farm is located in Holly Najaf Governorate. Some physical properties (soil texture, mean weight diameter, bulk density, porosity, infiltration rate, saturated hydraulic conductivity and available water) were selected to assess the quality then health indices, Results showed that classes of moderate and poor soil health were dominated in lands of this farm for physical properties It was noted that the class good of soil health wasnot collaterally appeared in areas for the physical characteristics.

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Publication Date
Thu Feb 13 2025
Journal Name
5th International Conference On Sustainable Engineering Techniques
Hydrochemical characterization and suitability of groundwater for irrigation in a part of Mahmoudiyah district, Baghdad Governorate, Iraq
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Publication Date
Wed Apr 01 2020
Journal Name
Groundwater For Sustainable Development
Hydrochemistry of shallow groundwater and its assessment for drinking and irrigation purposes in Tarmiah district, Baghdad governorate, Iraq
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Publication Date
Tue Nov 05 2013
Journal Name
Wit Transaction On Ecology And The Environments, Wit, Press No. 11
Remote sensing of water quality index for irrigation usability of the Euphrates River
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irrigation use at many stations along the Euphrates River inside the Iraqi lands and to try to correlate the results with the satellite image analyses for the purpose of making a colored model for the Euphrates that can be used to predict the quality classifications of the river for irrigation use at any point along the river. The Bhargava method was used to calculate the water quality index for irrigation use at sixteen stations along the river from its entrance to the Iraqi land at Al-Qaim in Anbar governorate to its union with the Tigris River at Qurna in Basrah governorate. Coordinates of the sixteen stations of the Euphrates River were projected at the mosaic of Iraq satellite image which was taken from LANDSAT satellite for bands 1, 2

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Publication Date
Sun Mar 01 2020
Journal Name
Journal Of Engineering
Assessment Improving of Rainwater Retention on Crop Yield and Crop Water Use Efficiency for Winter Wheat
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Storage of rainwater within the root depth zone is one of the modern ways to increase plant production. Subsurface water retention technology was applied to assess improving values of crop yield and crop water use efficiency, applying a membrane made of low-density polyethylene trough installed below the crop root zone. The goal of this paper is to assess that the retention of rainwater above the membrane can improve the crop yield and crop water use efficiency values for winter wheat. The experiment was conducted in open field, within Joeybeh Township, located in east of the Ramadi City, in Anbar Province, in winter growing season 2018-2019. Two plots T1 (with membrane trough) and T2 (without membrane) were used for the

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Publication Date
Fri Jan 01 2016
Journal Name
Journal Of Plant Interactions
Molybdenum application enhances antioxidant enzyme activity and COR15a protein expression under cold stress in wheat
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Publication Date
Wed Nov 05 2025
Journal Name
Irrigation And Drainage
Predicting Potential Salinity in River Water for Irrigation Water Purposes Using Integrative Machine Learning Models
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ABSTRACT<p>Accurate prediction of river water quality parameters is essential for environmental protection and sustainable agricultural resource management. This study presents a novel framework for estimating potential salinity in river water in arid and semi‐arid regions by integrating a kernel extreme learning machine (KELM) with a boosted salp swarm algorithm based on differential evolution (KELM‐BSSADE). A dataset of 336 samples, including bicarbonate, calcium, pH, total dissolved solids and sodium adsorption ratio, was collected from the Idenak station in Iran and was used for the modelling. Results demonstrated that KELM‐BSSADE outperformed models such as deep random vector funct</p> ... Show More
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