Main Article Content
Correlation, path coefficient and step-wise regression analyses were used to identify important traits that affect grain yield in bread wheat. Thirty bread wheat varieties were field tested under with (N+) and without nitrogen (N0) conditions at New Developmental Research Farm, The University of Agriculture, Peshawar-Pakistan. Experimental materials were planted in randomized complete block (RCB) design with three replications. Correlation analysis revealed significant positive association of grain yield with number of spikes m-2, biological yield and harvest index under both production systems. For the 1000-grain weight, positive association was observed under N+ condition only. Furthermore, path coefficient analysis confirmed the true relationship of harvest index, biological yield, number of spikes m-2, and 1000-grain weight with grain yield in wheat. Similarly, step-wise regression analysis identified spikes m-2, grains spike-1, 1000-grain weight, harvest index and biological yield as important traits affecting grain yield in wheat under respective production system. Overall, on the basis of current statistical procedures spikes m-2, grains spike-1, 1000 grain weight, harvest index and biological yield needs due weightage in breeding program for further improvement in grain yield of bread wheat.
Keywords: Biological Yield; Correlation; Path analysis; Step-wise regression