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Licensed Unlicensed Requires Authentication Published by De Gruyter February 12, 2019

Developing a Selection Criterion Using Correlation and Path Coefficient Analysis in Sunflower (Helianthus Annuus L.)

Adeel Riaz ORCID logo EMAIL logo , Muhammad Hammad Nadeem Tahir , Muhammad Rizwan , Sajid Fiaz , Sadaruddin Chachar , Khuram Razzaq , Bisma Riaz and Hafiza Sadia
From the journal Helia

Abstract

In breeding programs, it is imperative to recognize the genetic variations and levels of association between traits that directly or indirectly affect the yield. Achene yield and related traits in forty-nine sunflower genotypes were studied for genetic variability, correlations and path coefficient analysis. The phenotypic coefficient of variation (PCV) were higher than the genotypic coefficient of variation (GCV) for the all the studied traits in sunflower. The most active association of achene yield was found with achene/head, 100-achene weight and plant height. However, oil contents had a negative association with achene filling percentage, 100-achene weight, number of leaves and stem diameter. The maximum direct influence on achene yield were exerted by head diameter followed by achene filling percentage, 100 achene weight, achene/head and number of leaves. In contrast, plant height, days to maturity and stem diameter had the negative direct impact on yield. The genetic correlations were higher than phenotypic correlations which suggest that environmental influences were very low. Our results showed that achene/head, 100 achene weight, plant height and head diameter are important plant traits which should be considered while planning any breeding program for higher achene yield in sunflower.

Acknowledgements

We highly acknowledge National Agriculture Research Center (NARC) Islamabad, Pakistan for providing sunflower genotypes for the entire research program.

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Received: 2017-12-07
Accepted: 2019-02-02
Published Online: 2019-02-12
Published in Print: 2019-07-26

© 2019 Walter de Gruyter GmbH, Berlin/Boston

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