Genetic variability studies of yield, its attributing traits and oil content in RHAlines of sunflower (Helianthus annuus L.)
Genetic variability studies of yield, its attributing traits and oil content in RHAlines of sunflower (Helianthus annuus L.)
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Authors
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M S UMA
AICRP on Sunflower, University of Agricultural Sciences,GKVK, Bangalore-560065
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S D NEHRU
AICRP on Sunflower, University of Agricultural Sciences,GKVK, Bangalore-560065
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DATTATRAYA BHAT
AICRP on Sunflower, University of Agricultural Sciences,GKVK, Bangalore-560065
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M S UMAR FAROOQ
AICRP on Sunflower, University of Agricultural Sciences,GKVK, Bangalore-560065
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K M SRINIVASA REDDY
AICRP on Sunflower, University of Agricultural Sciences,GKVK, Bangalore-560065
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C P MANJULA
AICRP on Sunflower, University of Agricultural Sciences,GKVK, Bangalore-560065
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K S SOMASHEKAR
AICRP on Sunflower, University of Agricultural Sciences,GKVK, Bangalore-560065
Keywords:
GCV, PCV, Heritability and GAM, Oil content, RHA lines, Seed yieldAbstract
Sunflower inbred lines (RHA) derived from different sources with Rf gene were evaluated during 2018- 2020.Genetic variability, phenotypic and genotypic coefficients of variation, heritability and genetic advance were assessed for seven traits related to seed yield, its attributing traits and oil content in 50 RHA lines of sunflower. The analysis of variance revealed highly significant differences for all the characters among the RHA lines. The magnitude of differences between PCV and GCV was relatively low for all the traits, indicating less environmental influence. The estimates of GCV and PCV were high for seed yield/plant. High heritability in broad sense estimates (>90%) were recorded for all the traits under study indicating, the predominance of additive gene action and selection of RHA lines based on these characters would be more valid and selected RHA lines are likely produce high yielding hybrids. Effective for target plant selection in early generation.
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References
MANGIN, B., POUILLY, N., BONIFACE, M.C., LANGLADE, N.B., VINCOURT, P., VEAR, F. AND MUNOS, S., 2017, Molecular diversity of sunflower populations maintained as genetic resources is affected by multiplication processes and breeding for major traits. Theor. Appl. Genet., 130(6): 1099-1112.
OSTLE B, 1966, Statistics in research. Iowa University Press, Iowa.
DIMITRIJEVIĆ, A., IVANA. DRAGANA, M., SANDRA, C. AND ZVONIMIR, SAKAČ. 2017, Oleic acid variation and marker-assisted detection of pervenets mutation in high-and low-oleic sunflower cross. Crop breed applbiotechnol.17: 235-241.
