Analaysis of Important Indices in New Bulgarian Hybrids Linzi and Deveda

Nina Nenova, Daniela Valkova & Emil Penchev

doi:https://doi.org/10.29329/ijiaar.2019.206.15

Original article | Open Access
International Journal of Innovative Approaches in Agricultural Research 2019, Vol. 3(3) 504-509

Analaysis of Important Indices in New Bulgarian Hybrids Linzi and Deveda

Nina Nenova, Daniela Valkova & Emil Penchev

pp. 504 - 509 | DOI: https://doi.org/10.29329/ijiaar.2019.206.15

Published online: September 30, 2019 | Number of Views: 48 | Number of Download: 745

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Abstract

Hybrids Linzi and Deveda are conventional hybrids and created at Dobroudzha Agricultural Institute, General Toshevo, Bulgaria. They are the latest hybrids for our new sunflower selection. A structural analysis on important biometric indices related to the production potential of sunflower hybrids Linzi and Deveda and their parental lines was done. The data were analyzed by analysis of variance (ANOVA), regression and correlation. The indices 1000 seed weight (g), kernel and husk (%), oil content in kernels and oil content of seed (%) were studied. The mathematical models clearly demonstrated that correlation was established between the investigated indices. They have strong influence on the productivity of these two hybrids.

Keywords: Sunflower, Hybrid, Dispersion analysis, Regression, Correlation

How to Cite this Article

APA 6th edition
Nenova, N., Valkova, D. & Penchev, E. (2019). Analaysis of Important Indices in New Bulgarian Hybrids Linzi and Deveda . International Journal of Innovative Approaches in Agricultural Research, 3(3), 504-509. doi: 10.29329/ijiaar.2019.206.15

Harvard
Nenova, N., Valkova, D. and Penchev, E. (2019). Analaysis of Important Indices in New Bulgarian Hybrids Linzi and Deveda . International Journal of Innovative Approaches in Agricultural Research, 3(3), pp. 504-509.

Chicago 16th edition
Nenova, Nina, Daniela Valkova and Emil Penchev (2019). "Analaysis of Important Indices in New Bulgarian Hybrids Linzi and Deveda ". International Journal of Innovative Approaches in Agricultural Research 3 (3):504-509. doi:10.29329/ijiaar.2019.206.15.

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