This paper presents two modified spectral conjugate gradient methods which are designed for solving nonlinear unconstrained optimization problems. The presented methods have sufficient descent properties . We prove that the methods is globally convergent. Experimental results indicate that the new proposed methods more efficient than the Dai and Yuan - method . .