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VOL. 6, ISSUE 1 (2024)
Correlation and path coefficient analysis for morphological and biochemical parameters in sunflower (Helianthus annuus L) advanced interspecific derivatives
Authors
Anusha G, Varaprasad BV, Meena HP, Praduman Yadav
Abstract
The aim of this study was to evaluate the
advanced interspecific derivatives derived from five annual diploid Helianthus
species based on phenotypic and genotypic correlation so that we can find out
the which trait directly or indirectly effect the yield and quality of the
sunflower because being a breeder our main aim is yield and quality and the
lines which are performing best can be further used in the breeding programs.
The study was conducted at the Rajendranagar research farm of ICAR-Indian
Institute of Oilseeds Research, Hyderabad, India during kharif-2023 and rabi-2023-24,
respectively, to study the correlation among yield related characters, oil and
protein content and fatty acids in sunflower. A total of 50 interspecific
derivatives along with 3 checks were sown in augmented block design with five
blocks. Association analysis between seed yield per plant and other seventeen
characters revealed that seed yield per plant showed highly significant and positive
correlation with 100 seed weight, head diameter, oil content, number of leaves
per plant, plant height, leaf length and seed length at both genotypic and
phenotypic levels, encouraging rapid improvement of seed yield. Path
coefficient analysis helped us understand the direct and indirect impacts of
these traits on seed yield per plant. Path analysis indicated that 100 seed
weight had highest positive direct effect on seed yield per plant followed by
head diameter, number of leaves, plant height, leaf length and seed length. The
character oil content exhibited high significant negative direct effects, while
days to 50% flowering, days to maturity and oleic content showed negative but
low direct effects. Therefore, simultaneous selection for these traits is
suggested for improvement of seed yield in sunflower.
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Pages:31-36
How to cite this article:
Anusha G, Varaprasad BV, Meena HP, Praduman Yadav "Correlation and path coefficient analysis for morphological and biochemical parameters in sunflower (<i>Helianthus annuus</i> L) advanced interspecific derivatives". International Journal of Ecology and Environmental Sciences, Vol 6, Issue 1, 2024, Pages 31-36
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