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In order to evaluate the variability and relationship between different wheat   yield components, a randomized complete block design experiment with ten   genotypes of wheat had been carried out during three growing seasons   (2010-2012). The number of spikelet per spike and grain weight per spike had   low genotypic and phenotypic variability, while plant height had the highest   one. High heritability was observed for plant height (h2=93.1%), spike   length (h2=92.3%) and spike density (h2=92.9%). The low heritability was   found for grain weight per spike (h2=35.6%). Grain weight per spike was in   significant positive genotypic and phenotypic correlation with all the   traits (plant height, spike height, number of spikelet per spike, number of   grain per spike and spike weight) except spike density. The spike weight had   the highest phenotypic (rp=0.988), while number of spikelet per spike had   the highest genotypic correlation with grain weight per spike (rg=0.981).   Path coefficient analysis revealed that all the traits had highly   significant direct effect on grain weight per spike, except spike length.   The stepwise regression revealed that 87.1% of the grain weight per spike   variation was explained by model which excludes spike length. Spike weight   and plant height had the highest shared and unique contribution to grain   weight per spike.

Variability, correlation, path analysis and stepwise regression for yield components of different wheat genotypes