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Vol. 11, Issue 2 (2022)

Correlation and path analysis in bread wheat (Triticum aestivum L.) for yield and yield contributing traits

Author(s):
Aneeta Yadav, Amar Bahadur Pal and Suhel Mehandi
Abstract:
The present investigation was conducted to examine the 10 Bread Wheat genotypes along with 2 checks to study the genetic parameters, correlation and genetic diversity. The experiment was carried out in main experimental station of Agricultural Research Farm, Rama University (U.P), Mandhana, Kanpur during Rabi Season, 2020-21 in Randomized Block Design (RBD) with three replications. Analysis of variance showed highly significant differences among 10 Bread Wheat for 11 characters studied. On the basis of mean performance, Analysis of variance showed highly significant differences among 10 Bread Wheat for 11 characters studied. On the basis of mean performance, genotype DBW187 exhibited high grain yield per plant over the check. Genotypic coefficient of variation (GCV) was recorded highest for Harvest index (17.58%). Phenotypic Coefficient of Variation (PCV) was recorded highest for Harvest index (54.72%). Environmental coefficient of variation (ECV) was recorded highest for Harvest index (99.56%). High heritability was observed for most of the traits and it was noted highest for Biological yield per plant (34.2%). Genetic advancement was recorded highest for Biological yield per plant (346.21%). The high Genetic advance as per cent of mean was recorded for Biological yield per plant (16.97%). Grain yield per plant shows Significant Positive Correlation with Spike length (1.06**) genotypic level. Grain yield per plant shows Significant Negative Correlation with Harvest index (0.92**) phenotypic level.
Pages: 2525-2529  |  332 Views  116 Downloads


The Pharma Innovation Journal
How to cite this article:
Aneeta Yadav, Amar Bahadur Pal, Suhel Mehandi. Correlation and path analysis in bread wheat (Triticum aestivum L.) for yield and yield contributing traits. Pharma Innovation 2022;11(2):2525-2529.

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