Abstract
Abstract 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 http://dx.doi.org/10.19045/bspab.2019.80011
Highlights
Introduction provides useful information aboutGrain yield is a complex trait and is highly association among variables with influenced by many genetic factors and economic yield
Khan et of the phenotypic correlation and is the al. [2] explained that correlation analysis only one of inheritable nature, and Published by Bolan Society for Pure and Applied Biology used to orient breeding programs
Correlation analysis showed that grain yield under both N+ and N0 conditions had strong positive association with number of spikes m-2(r = 0.86** and 0.77**), biological yield (r =0.70** and 0.71**) and harvest index (r = 0.69** and 0.62**)
Summary
Grain yield is a complex trait and is highly association among variables with influenced by many genetic factors and economic yield. In plant measures the degree of association breeding program, direct selection for between two variables and is determined yield as such could be misleading. The successful selection depends upon the latter is mainly responsible for the information on the genetic variability and correlation of traits with low heritability, association of morphological and such as grain yield. The genotypic agronomic traits with grain yield reported correlation represents the genetic portion by Kalimullah et al [1]. [2] explained that correlation analysis only one of inheritable nature, and Published by Bolan Society for Pure and Applied Biology used to orient breeding programs Khan et of the phenotypic correlation and is the al. [2] explained that correlation analysis only one of inheritable nature, and Published by Bolan Society for Pure and Applied Biology used to orient breeding programs
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