Correlation and Path Coeffi cient Analysis in Wheat

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Nitin Kumar
Deepak Kumar Bahuguna
PB Singh
Praveen Kumar
Rakesh Singh

Abstract

To understand the association of yield and yield attributes and their contribution to each other, 179 genotypes
including four check varieties were evaluated in an Augmented Block Design with 18 blocks. Each block
(excepting one block) contained 10 test genotypes and 4 check genotypes. The data on fi ve random selected
plants of each genotype were recorded on 14 quantitative characters, including grain yield and its component
characters. The phenotypic coeffi cient of variation was high for most of the characters, especially, the biological
yield per plant, tillers per plant, plant height and grain yield. Correlation coeffi cient analysis revealed that
nine characters namely, biological yield per plant, tiller number per plant, grain weight per ear, grains per ear,
harvest index, spikelets per spike, plant height, fl ag leaf area and fl ag leaf sheath length showed signifi cant and
positive correlation with grain yield. Path coeffi cient analyses revealed that biological yield followed by harvest
index and grains per ear were the only traits that showed highest positive direct effects towards grain yield.

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How to Cite
Correlation and Path Coeffi cient Analysis in Wheat. (2023). Indian Journal of Plant Genetic Resources, 22(01), 66-69. https://ispgr.in/index.php/ijpgr/article/view/1572
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How to Cite

Correlation and Path Coeffi cient Analysis in Wheat. (2023). Indian Journal of Plant Genetic Resources, 22(01), 66-69. https://ispgr.in/index.php/ijpgr/article/view/1572

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