COMPARING ECONOMICAL COEFFICIENTS TO SELECT THE BEST OPTIMUM SELECTION INDEX IN PEANUT
Abstract
In order to appointment desirable indices to select dominant genotype, an experiment with 40 peanut varieties was conducted in 2007 in a Randomized Complete Block Design with three replications at the Tobacco Research Institute, Rasht, Iran. For formation of selection indices, traits were selected by means of stepwise regression. In this study, we used optimum indices. Economic weights that we used included unit, phenotypic correlation, genotypic correlation, heritability, direct effects in path analysis and first factor loading in factor analysis. Results showed that if we use unit coefficient for optimum selection index, we would have the highest genetic advance for all traits among all selection indices. In addition, this selection index had high correlation with genotypic worth. Evaluating selecting index efficiency for oil percentage at the index base, compare with direct election of trait showed that if we use this selection index, respond to selection by selection index would be higher than respond to selection of trait. However, respond to direct selection of oil yield and grain yield will be higher than respond to selection-by-selection index. Genotypes such as 15, 29, 27, 9 and 22, had the highest index value by using this selection index respectively.The papers published in the journal are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
Open Access Journal: The journal allow the author(s) to retain publishing rights without restrictions. Authors are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author.
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under the Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).