JOURNAL OF BIOLOGY AND GENETIC RESEARCH (JBGR )

E-ISSN 2545-5710
P-ISSN 2695-222X
VOL. 10 NO. 3 2024
DOI: 10.56201/jbgr.v10.no3.2024.pg26.36


Genetic Variability, Character Association and Phytochemical Analysis in Okra Genotypes, Abelmoschus Esculentus

L Moench, Adewusi OF and Omikunle O A


Abstract


This study was coducted on the” Genetic variability, character association and phytochemical analysis in okra genotypes, Abelmoschus esculentus (L.) Moench”. The study aimed to determine the extent of variability among the okra genotypes using phenotypic variation, correlation analysis and phytochemical analysis with a view of identifying the outstanding okra genotypes that could be utilized in future okra breeding program. The 20 okra genotypes used for this study were obtained from the okra germplasm bank of National Center for Genetic Resources and Biotechnology (NACGRAB), Ibadan, Oyo State, Nigeria. The experiment was carried out at the Teaching and Research Farm, Federal University of Technology, Akure. The experiment was laid out in a randomized complete block design with three replications. Data were collected on eleven agronomic characters. The statistical analysis was carried out using SAS version 9.2. The analysis of variance revealed that the okra varieties recorded significant differences for characters considered at 1% and 5% probability. The analysis of variance showed significant differences among the varieties for number of fruits, total fruit weight and individual fruit weight, indicating the presence of genetic variability for these characters. The phenotypic variance and phenotypic coefficient of variation were higher than the genotypic variance and genotypic coefficient of variation. The correlation analysis showed significant positive associations between fruit yield and plant height (0.772), number of fruits (0.843), number of branches (0.619), fruit weight (0.483) and fruit length (0.384) indicating that they are potential characters to target and select for in okra breeding programs. Phytochemical analysis also showed differences in phytate (21.01- 32.96mg/g), tannin (0.03-0.08mg/g), saponin (5.80-10.20mg/g), oxalate (1.80-3.69mg/g), phenols (0.01 – 0.46mg/g) and flavonoids (9.90 -11.30mg/g). It can be


keywords:

Genetic Variability, Correlation, Phytochemical, Phenotypic, Genotypic


References:


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