The aim of this research is to study and prognosis oil and gas by utilization of Remote Sensing (RS) data Geographic Information
System (GIS) and Digital Elevation Model (DEM), and 3D. The integration of the data by using program (Arc GIS). The inte
gration data led to divide the lineaments circular structures and drainage network. Which present direct and indirection indicate on earth surface for surface and subsurface structures Which play important role in prospecting oil and gas.
This search was conducted during 2014-2015 growing season in Agricultural
research station in Al Kraeim belonging to Al Salameah district in Hamah Provence in
order to study the effect of plant density on; First, the phenological stages of lentil p
lant
calculated in day unit. Second, the seed productivity in a lentil plant calculated in g/plant,
and then seed production in Hectares (Kg/ha-1).Lastly, percentage of seed protein content
in seeds. In this study, three plant densities were used (200, 250, 300 seeds/m2, and was
designed using Randomized Sectors in three replicates for each density. Results showed
that;
1) The low density plants (200 seeds/m2) was significantly better than other
densities (250 and 300 seeds/m2) in:
Reaching 50% seed germination (19.4, 20.5 and 22.5 day continually) and in
flowering stage (111.36, 113.6 and 114.7 day continually) and in maturation/Ripening
stage (134.4, 136.6 and 137.7 day continually).
Seed production per plant (1.553g/plant) in comparison by seed production of
other densities (1.487 and1.376 g/plant).
Percentage of seed protein (26.8%) in comparison by seed protein of other
densities (26.3 and 26.19 %).
2) The higher densities (300 seeds/m2) was better in seed production in aria unit
(1791.3 Kg/ha-1) in comparison by production of other densities (1492.7 and 1194.2 Kg/
ha-1).
