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Ali Khadivi

Ali Khadivi

Academic rank: Professor
ORCID: https://orcid.org/0000-0001-6354-445X
Education: PhD.
ScopusId: 43661256800
Faculty: Agriculture and Environment
Address: Arak University
Phone: 086-32623022

Research

Title
Investigation of association between molecular markers and fruit characters in cherries using multiple regression analysis
Type
Presentation
Keywords
cherries; multiple regression analysis
Year
2015
Researchers Ali Khadivi

Abstract

The two main species of cultivated Cerasus subgenus are sweet and sour cherries. Molecular marker-trait association identifications have been conducted through the combination between plant germpelasm and the regression technique. Multiple regression analysis (MAR), based on association of a marker with the phenotype gives estimates and test of significance of the parameters of multiple linear regression equations. It can be explained by a linear function of independent variables. The use of molecular markers in trait association of fruit traits is well investigated (Kar et al. 2008). The development of the marker-based technology offers a fast, reliable, and easy way to perform multiple regression analysis (MRA) and comprise an alternative approach to breeding in diverse species of plants (Kar et al. 2008).