This study has contributed to identify convenience of the land Usifiya of Mahmudiya district baghdad province for the cultivation of sensitive and salt resisting crops and growing pasture .The nine pedons (tracks) of the study have spread over three transects to cover the whole area the north, middle and south .
Depending on Visual Space tupe (TM) for 2007 which is super classified, samples are distributed on all classes of land cover
It is detected the presence of nine series soils namely
MM5- MW96- DM 115 for 1st transect
MF12- DM46 - DM96 for 2nd transect
DM56- DF56 - MW5 for 3rd transect
Soils are classified to the level of sub great group according to (soil Survey Staff) to :
*Typic Torri Fluvents , Typic Haplosalds
Some properties of soil including chemical are choosen, which determine the degree and the optimal convenience of the land, using the method of standard beating (Sys 1980) These are soil texture clalcium carbonate Gypsum , salinity drainage state Exchangable sodium Ration, soil depth, horizon development and weathering index.
Results show that by application of the equation there are five varieties suitable for cultivation for each kind of crops :-
A. For sensitive crops :-
very suitable S1 : it include series DW96 with11.1%, suitable S2 : series MW5 & DM56 with 22.2 % medium suitable S3: series DM115 – MM5 – DM96 with 33.3 %
Less suitable S4 : series DM46 with 11.1 %, insuitabhe N : series DF56 with 11.1%
B. for resisting crops :
Very suitable S1 : it includes series DW96 _ MW5 _ DM56 with 33.3 %
Suitable S2 : series DM115 _ MM5 _ DM96 with 33.3%
Medium suitable S3 : series DM46 with 11.1 %
Less suitable S4 : series DF12 with 11.1%
Insuitable N : series DF56 with 11.1 %
c)for grain for Dqsture :
very suitable S1 : it include series DM56_ MW5 _ MM5 with 33.3%
suitable S2 : series DM96 _ DM96 _ DM115 with 33.3 %
medium suitable S3 : series DM46 with 11.1 %
less suitable S4 : series MF12 with 11.1 %
insuitable N: it include series DF56 with 11.1 %
The area of each class of suitable varieties of different crops has been specified using the program Arc GiS10.2 with the help of geostat istics Analysis .
The area of different types are :-
Sensitive crops, S1: 16.79 km2 , S2: 89.15 km2 , S3: 248.3 km2 , S4 : 37.18 km2 , N : 18.00km2 . Salt – resisting crops , S1: 180.14 km2 , S2: 182.82 km2 , S3:28.29 km2, S4: 11.19km2 , N:6.91 km2 . grain for pastuer , S1: 224.59km2 , S2 : 127.77 km2 , S3:38.77 km2 , S4 : 12.44km2 , N : 5.88 km2 .
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The current study performed in order to detect and quantify epicatechin in two tea samples of Camellia sinensis (black and green tea) by thin layer chromatography (TLC) and high performance liquid chromatography (HPLC). Extraction of epicatechin from black and green tea was done by using two different methods: maceration (cold extraction method) and decoction (hot extraction method). Qualitative and quantitative determinations of epicatechin in two tea samples were investigated. Epicatechin identification was made by utilizing preliminary chemical tests and TLC. This identification was also boosted by HPLC and then quantified epicatechin in all ethyl acetate fractions of two tea samples. This research revealed the existence of epica
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This study investigated the bioethanol production from green algae Chlorella vulgaris depending on its carbohydrate-enriched biomass. Four different phosphorous concentrations were employed to stimulate bioethanol production from Chlorella vulgaris. The impact of various phosphorous values on Chlorella vulgaris growth rate as well as primary product (carbohydrate) were evaluated. High performance liquid chromatography was utilized in this work. The stationary phase was identified as day 14, 12, 10 and 6 in treatments 6, 4, 2 and g/L, respectively. The findings suggest that the treatment without phosphorous addition had the highest record of carbohydrate content (22.64% dry weight) as well as the highest bioethanol yield (20.66% dry weight).
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The dynamic development of computer and software technology in recent years was accompanied by the expansion and widespread implementation of artificial intelligence (AI) based methods in many aspects of human life. A prominent field where rapid progress was observed are high‐throughput methods in biology that generate big amounts of data that need to be processed and analyzed. Therefore, AI methods are more and more applied in the biomedical field, among others for RNA‐protein binding sites prediction, DNA sequence function prediction, protein‐protein interaction prediction, or biomedical image classification. Stem cells are widely used in biomedical research, e.g., leukemia or other disease studies. Our proposed approach of
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AlxSb1-x compounds with different aluminum content(x=0.1, 0.3 , 0.5 , 0.7 and 0.9 ) were prepared by mixing the two elements in the appropriate ratios in quartz ampulla which then sealed and put in an oven at 1273 and left 5 hours. The obtained powder were grinded and then pressed in pellets shape which will be the target to prepare thin films samples. AlxSb1-x thin films were synthesized by PLD with ~ 150nm in thickness .The structures of AlxSb1-x powders and thin films were determined using X–ray diffraction. The data revealed that all the prepare AlxSb1-x bulk and thin films have polycrystalline . The results showed that increasing of Al reduced the crystallinity of the prepared samples at the first but then the opposite take pla
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Background Green synthesis of silver nanoparticles (AgNPs) using plant extracts has gained increasing attention as an environmentally friendly alternative to conventional chemical methods.