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Lemi Beksisa Waya
Ashenafi Ayano
Tadesse Benti
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Ashenafi Ayano
Tadesse Benti
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International Journal of Plant Breeding and Crop Science

Correlation and path coefficient analysis for yield and yield components in some Ethiopian accessions of Arabica Coffee

Lemi Beksisa, Ashenafi Ayano, Tadesse Benti

Ethiopian Institute of Agricultural Research, Jimma Agricultural Research Center, P.O.Box, 192, Jimma, Ethiopia.

Accepted 26 March, 2017.

Citation: Beksisa L, Ayano A, Benti T (2017). Correlation and path coefficient analysis for yield and yield components in some Ethiopian accessions of Arabica Coffee. International Journal of Plant Breeding and Crop Science, 4(2): 178-186.

 

Copyright: © 2017 Beksisa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Abstract

Coffee (Coffea arabica L.) is an important beverage crop in the world and provides significant contribution to Ethiopian economy. Sixty two coffee accessions with two standard checks, F-59 and 744 were evaluated from 2001 to 2012 cropping seasons at Agaro, Southwestern Ethiopia using 8x8 simple lattice design. The correlation coefficients and path coefficient analysis was estimated to determine the association among yield and yield related traits and direct and indirect effects of yield related traits on yield. Significant (P<0.05) to highly significant (P<0.01) differences among accessions were obtained for all characters. The genotypic correlation coefficients were higher in magnitude than the corresponding phenotypic correlation coefficients for most of the characters. Number of primary branch, canopy diameter, number of main stem nodes and main stem diameter showed positive and significant genotypic and phenotypic correlation with yield, while plant height, internode length and length of first primary branch had positive but non-significant correlation. Height up to first primary branch had negative and showed non-significant correlation with yield. Path analysis showed that plant height (1.564) made the largest positive direct effects towards yield followed by canopy diameter (1.555) and length of first primary branch (0.052) indicating that selection using these characters would be effective in improving bean yield in Arabica coffee. Whereas, internode length (-1.860), number of primary branch (-1.802), height up to first primary branch (-0.609), main stem diameter (-0.444) and number of main stem nodes (-0.232) exerted negative effect on coffee yield. High indirect effects of the characters were noticed through number of primary branch indicating importance of the character as selection criteria in crop yield improvement programs.

Key words: Coffea arabica, Coffee Berry Disease, Correlation, Path analysis.