USING OF SPATIAL ANALYSIS TO IMPROVE PRECISION IN AGRONOMIC TRIALS OF BREAD WHEAT (Triticum aestivum L.)

USING OF MULTIVARIATE ANALYSIS FOR EVALUATING WHEAT GRAIN YIELD AND ITS COMPONENTS UNDER WATER STRESS CONDITIONS

STATlSTICL STUDIES FOR EVALUATION SOME VARIETIES OF WHEAT

USING POWER FUNCTION OF THE ANALYSIS OF VARIANCE TEST IN WHEAT EXPERIMENTS

UTILIZATION OF SOME AGRICULTURE PRACTICES TO IMPROVE SOME WHEAT CULTIVARS PRODUCTIVITY. I- YIELD AND ITS COMPONENTS.

EVALUATION OF STATISTICAL METHODS FOR DETERMINING THE RELATIVE CONTRIBUTION OF YIELD FACTORS IN WHEAT

SOME STATISTICAL MODLES TO DETECT THE RELATION BETWEEN YIELD AND ITS COMPONENTS FOR INTERCROPPING EXPERIMENTS.

USING ARTIFICIAL NEURAL NETWORKS MODELS FOR PREDICTING WHEAT YIELD PRODUCTIVITY

ANALYSIS OF PHENOTYPIC STABILITY FOR GRAIN YIELD AND ITS COMPONENTS IN BREAD WHEAT

Yield Gap Associated with Crop Management in Wheat (Case Study: Ardabil Province-Parsabad Moghan)