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Research Article Open access CC BY 4.0

Estimation of Genetic Parameters in Sunflower (Helianthus annuus L.) Germplasm Lines for Yield and Its Contributing Traits

E. Umarani, A. Saritha, A. V. Ramanjaneyulu

International Journal of Environment and Climate Change · pp. 936–942 · Published 30 Dec 2022

10.9734/ijecc/2022/v12i121533

Abstract

Availability of appropriate genetic resources is a key to any crop improvement programme. The understanding and knowledge of genetic variation and genetic similarities present within individuals or populations are useful for the efficient use of genetic resources in breeding programme. Therefore, the present investigation was carried out to assess the variability, heritability and genetic advance in thirty-two sunflower germplasm lines for morphological characters. The analysis of variance revealed the presence of significant variability among the landraces of rice under study. Variability studies indicated that the estimates of phenotypic coefficient of variation (PCV) were slightly higher than genotypic coefficient of variation (GCV) for all the traits, indicating less influence of environment. Among all the characters under study, single plant yield exhibited highest PCV (38.64) and GCV (37.72), whereas lowest PCV (3.91) and GCV (3.49) were recorded for days to maturity. High heritability coupled with high genetic advance as per cent of mean estimates were recorded for plant height, 100-seed weight and single plant yield, which indicated the preponderance of additive gene action in controlling these traits. Hence direct selection of these characters would be effective in improving the seed yield. Emphasis should be given on these characters, while selection is made to improve yield potential.

Germplasm genetic parameters sunflower variability yield

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Cited by 4

Preliminary Investigation of Genetic Variance and Heritability Among Sunflower (Helianthus annuus L.) Genotypes Yield and Yields Components in Botswana

Odireleng Molosiwa, Ditshupo Dinyao, Mapena G. Ramokapane · Journal of Agricultural Science · 2025

Exploring genotype by environment interaction in sunflower using genotype plus genotype by environment interaction (GGE) and best linear unbiased prediction (BLUP) approaches

Birhanu Mengistu Aboye, Mohammed Abu Edo · Discover Applied Sciences · 2024

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