Heritability, correlation, genotypic and phenotypic coefficient of variance, and path coefficient analysis of pipeline spring rice genotypes in western hills of Nepal

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Research Paper 01/08/2018
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Heritability, correlation, genotypic and phenotypic coefficient of variance, and path coefficient analysis of pipeline spring rice genotypes in western hills of Nepal

Santosh Subedi, Subarna Sharma, Amrit Prasad Poudel, Muzafar Iqbal, Shamim Umer, Shagufta Jabeen
Int. J. Agron. & Agric. Res. 13(2), 128-135, August 2018.
Copyright Statement: Copyright 2018; The Author(s).
License: CC BY-NC 4.0

Abstract

A participatory varietal trial on spring rice (Oryza sativa L.) was conducted at farmer’s field of Dhamilikuwa, Lamjung with an objective to find out high yielding spring rice genotypes of farmer’s interests with study of variability, heritability, GCV, PCV, preference score and character association between yield and yield attributes during spring season 2017. Seven spring rice genotypes were laid out in randomized complete block design (RCBD) with three replications. Preference score was determined by CGIAR model using positive votes, negative votes and total votes casted. Analysis of variance revealed that yield and yield attributes were statistically different among genotypes. Phenotypic coefficients of variance were higher than genotypic coefficients of variance in all the characters studied. A joint consideration of high heritability in broad sense and high genetic advance as percentage of mean found in flag leaf area, grain yield and test weight could be explained by additive gene action whereas high heritability in broad sense and moderate/low genetic advance as percentage of mean found in plant height, maturity days, heading days, and chlorophyll could be explained by non-additive gene action. Grain yield of spring rice was significantly correlated with flag leaf area (r =0.799**), fertility percentage (r = 0.697**), effective tillers (r =0.665*), panicle length (r = 0.587*) and leaf chlorophyll content (r = 0.579*). Selection based on these attributes is very important key for crop improvement through suitable breeding program. On path analysis, flag leaf area has highest positive direct effect on yield followed by test weight, panicle length, and heading days.

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