Variability, correlation, path analysis and stepwise regression for yield components of different wheat genotypes
2018
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.
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