Correlations and path analysis on oil content of castor genotypes

• Published in: Bioscience journal Vol. 31; no. 5
• Main Authors: Francisco Eduardo Torres, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro, Caio Cezar Guedes Correa, Fernanda Baptistella Hernandes, Reliane Lima Fernandes, Anna Catharina Gomes, Kamila Vieira Lopes
• Format: Journal Article
• Language: English
• Published: Universidade Federal de Uberlândia 01.09.2015
• Subjects: biodiesel; genetic breeding; ricinus communis l; vegetable oil
• ISSN: 1981-3163
• DOI: 10.14393/BJ-v31n5a2015-26391

With the aim of to evaluate the correlation and the direct and indirect effects of morphological descriptors on oil content of castor (Ricinus communis L.) genotypes, an experiment was conducted in the agricultural years 2010/2011 and 2011/2012 at Universidade Estadual de Mato Grosso do Sul - Unit of Aquidauana (UEMS/UUA). The experimental design used was randomized blocks with three replications. The treatments consisted of seven castor genotypes (BRS Energia, IAC-2028, IAC-Guarani, BRS Nordestina, BRS Paraguaçu, IAC-80 and IAC-226). The following descriptors were evaluated: plant height (PH), stem diameter (SD), number of bunches (NB), number of fruits (NF), mass of fruits (MF), mass of hundred seeds (MHS) and oil content (OC). Initially, it was determined the following genetic parameters: genotypic variance, environmental variance, coefficient of experimental variation, coefficient of genotypic variation, heritability, environmental correlations, phenotypic correlations and genetic correlations. The phenotypic correlations were deployed by path analysis in estimates of direct and indirect effects, and preceded the diagnosis of multicollinearity in explanatory variables and independent explanatory variables on the OC (primary dependent variable). The results indicated that the direct and indirect selection of genotypes with plant height, stem diameter, number of bunches and mass of hundred seeds is promising to select genotypes with high oil content in castor.