Correlation and path coefficient analysis in advanced wheat genotypes

Abstract

A field experiment was conducted in alpha lattice design in subtropical region of Nepal in the wheat crop to determine the association between yield and yield attributing traits through correlation and path analysis. The result showed highly significant variations among the genotypes for all the traits under study. Simple correlation coefficients revealed that the association of grain yield with biological yield followed by harvest index, plant height, thousand grain weight and Area Under SPAD Retread Curve (AUSRC) at anthesis were positive and highly significant (at 1% level of significance). The positive and significant (at 5% level of significance) association of grains per spike followed by flag leaf area with grain yield was also found. Path analysis showed that biological yield and harvest index had the highest positive direct effect on grain yield. While other traits contribute to the grain yield significantly indirectly via biological yield and harvest index. This suggests that biological yield and harvest index having significant positive correlation and high direct effect on grain yield explained the true relationship and the direct selection of the genotypes through these traits is effective for improving yield potentiality.

Estimates of Direct and Indirect Effects along with Correlation Coefficient Analysis in Bread Wheat (Triticum aestivum L.)

“…In the present investigation, grain yield per plant was highly significant and positivity correlated with biological yield per plant and productive tillers per plant and significant and positivity correlated with harvest index both at genotypic and phenotypic level of significance. The corroborate findings also was reported by Saxena et al, (2007), Ali et al, (2008), Singh et al, (2010, Tiwari (2011), Baloch et al, (2013), Rajpoot et al, (2013), Parnaliya et al, (2015), Bhutto et al, (2016) and Ayer et al, (2017).…”

Characterization of wheat genotypes for drought tolerance and water use efficiency

“…According to Slafer et al (2014), TGW can respond to modest changes in genetic or environmental factors, thereby fine-tuning grain yield. Positive correlations between TGW with yield were also obtained by Ayer et al (2017) and Gonzalez-Navarro et al (2016). The latter studied 27 elite wheat genotypes.…”

Evaluation of durum wheat (Triticum turgidum) genotypes for genetic variability, heritability, genetic advance and correlation studies

“…Broad sense heritability was calculated as the ratio the genotypic variance to the phenotypic variance according to Falconer and Mackay (1996). Expected genetic advance as part of the mean (GA) for each character at 5% selection intensity (K=2.056) was computed using the method illustrated by Allard, (1960). Expected genetic advance as percent of mean (GAM) was calculated to compare the extent of predicted advance of different traits under selection, using the formula described by Comstock and Robinson (1952).…”

“…Heritability (H 2 ): Heritability in broad sense for all characters was computed as per the formula adopted from Allard (1960).…”

“…Expected genetic advance under selection assuming a selection intensity of 5% was computed following the formula developed by (Allard, 1960): GA = (K) (δp) (H 2 ), where GA = expected genetic advance, K= selection differential that varies depending up on the selection intensity and stands at 2.056 for selecting 5% of the genotypes, δp = phenotypic standard deviation and H 2 = heritability (in broad sense) Genetic advance as percent of mean was obtained as;…”