Correlation and Path Coefficient Analysis of Hot Pepper (Capsicum annuum L.) Genotypes for Yield and its Components in EthiopiaAbrham Shumbulo1*, Mandefro Nigussie2, and Sentayehu Alamerew3
- *Corresponding Author:
- Abrham Shumbulo
Department of Horticulture, College of Agriculture, Wolaita Sodo University
E-mail: [email protected]
Received date: April 11, 2017; Accepted date: April 22, 2017; Published date: April 22, 2017
Citation: Shumbulo A, Nigussie M, Alamerew S (2017) Correlation and Path Coefficient Analysis of Hot Pepper (Capsicum annuum L.) Genotypes for Yield and its Components in Ethiopia. Adv Crop Sci Tech 5: 277. doi: 10.4172/2329-8863.1000277
Copyright: © 2017 Shumbulo A, 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 credited.
Character correlation and path coefficient analysis study was conducted using 55 hot pepper genotypes with the objectives to assess the nature of character correlation at phenotypic and genotypic levels and direct and indirect effects of traits on yield and yield components. The experiment was conducted during 2015-20116 at six environments in Southern Ethiopia using RCBD with three replications. The result revealed that, in most cases, the genotypic correlation coefficients were higher than their respective phenotypic correlation coefficients indicating their inherent association of traits and hence more advantageous for breeding purposes. Phenotypic and genotypic correlation further confirmed that branch number per plant, fruit number per plant, fruit length, fruit diameter and fruit weight were the most important traits for improving the genotypes for higher fruit yield and may be applied for selection in hot pepper productivity. Path analysis revealed that the maximum direct effect on fresh fruit yield was exerted by dry weight (0.6686), average fruit length (0.2185), fruit diameter (0.2085) and average fruit number per plant (0.1444), Thus, on the basis of current result, fruit length, diameter and fruit number per plant could be the most important yield component characters which might be selected for yield improvement while the converse was true with plant height and stem girth (diameter) at phenotypic level.