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Articles by Khalladi Mederbal
Total Records ( 2 ) for Khalladi Mederbal
  Zineb Regagba , Jong Myung Choi , Amina Latigui , Khalladi Mederbal and Ahmed Latigui
  The effect of the variation of Mg concentration (MgC) 0, 0.5, 1, 2, 4 and 6 meq.L-1 in the Nutrient Solution (NS) on strawberry (Fragaria×ananassa Duch.) “Seolhyang” growth was evaluated at 120 days after transplantation of runners. The effect of Mg-deficiency, first seen by the appearance of necrosis in the old leaves. On young leaves a spotted brown or brown area developed on the interveinal area with spotted marginal browning or marginal necrosis. The greatest application of 6 meq.L-1 of Mg in NS caused a reduction in pigmentation and suppressed plant growth severely. The MgC 2 meq.L-1 resulted in the relatively highest vegetative growth with a favorable Electrical Conductivity (EC) and pH, for a better growth and nutrients uptake. The Dry Weight (DW) and Fresh Weight (FW) were weakly correlated with variation of MgC (R2 = 0.024 and 0.16, respectively). The response to the variation of MgC on the EC and pH were also, weakly correlated (R2 = 0.15 and 0.21, respectively). The MgC 2 meq.L-1compounded initially by 5 K+, 5 Ca2+ 2 Mg2+, 1 Na+, 10 NO3-, 2SO42, 1 H2PO4- with a pH 6.5, EC =2.2 dS m-1, K+/(Ca2++Mg2+) = 0.71 and Σcations = Σanions (13 meq.L-1) was improved by decreasing a pH, by adding NH4+ in NS and by adjusting the ratio cited to around 0.61. Depending of the results of this study, the new solution improved is compounded by 5 Ca2+, 4.5 K+, 2.3 Mg2+, 2.5 NH4+, 5 NO3-, 2.3SO42- and 1 H2PO4-with Σcations = Σcations (14.3 meq.L-1), a pH6 and EC = 2.3 dS m-1.
  Adda Ababou , Mohammed Chouieb , Mohammed Khader , Khalladi Mederbal and Djamel Saidi
  The Lower Cheliff plain is among the largest salted soils in north-western Algeria. In order to establish the relationships between the main soil factors and plant species in this stressed ecosystem, 133 releves related to soil and vegetation were realized. Soil variables measured included electrical conductivity and calcium carbonate. The 133 releves were arranged in clusters using k-means classification. The similarity analysis used to examine the variation in vegetation assemblage structure showed significant differences in taxonomical composition among groups of releves. The phi coefficient of fidelity used then to extract the different vegetation units and to measure species concentration in each vegetation unit enabled us to extract a synoptic table with 6 vegetation units, exclusively related to conductivity. The results of redundancy analysis were concordant with k-means clustering results and showed that conductivity is the main factor affecting the vegetation distribution in the Lower Cheliff plain whereas CaCO3 plays a secondary role. The approach used in this study enabled us to extract 4 ranges of salinity in the Lower Cheliff according to the optimum of salinity tolerated by each vegetation unit.
 
 
 
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