UPM Institutional Repository

Evaluation of eggplant accessions based on their quantitative and qualitative traits performance under tropical climate


Citation

Datta, Debi Rani and Rafii Azizah, Mohd Y. and Mashitah, Misran and Oladosu, Jusoh and Md. Azadul, Yusuff and Mohammed, Haque and Jatto, Itopa (2023) Evaluation of eggplant accessions based on their quantitative and qualitative traits performance under tropical climate. Plant Archives, 23 (Supp.1). pp. 298-310. ISSN 2581-6063; eISSN: 0972-5210

Abstract

Agro-morphological genetic variation on yield and yield-related traits plays an important role in varietal development in eggplant. The present study assessed different genetic variations of 27 eggplant accessions using yield and yield- related morphological traits. The experiment was laid out in a randomized complete block design with three replications. All collected data on nine qualitative and eleven quantitative traits were subjected to analysis of variance using SAS 9.4 software, while variance components were estimated. All the studied traits (quantitative) exhibited high significant variation (p ‰ 0.01). The quantitative traits such as number of primary branches per plant, fruit diameter, fruit length, fruit girth, average fruit weight, number of fruits per plant, fruit length to width ratio, and fruit yield per plant can be exploited through selection as these traits have high PCV, GCV, h2B and GAM. Considering diversity patterns and other agronomic traits, the accessions BB1 from group I, accessions BT13, BM9, BB26, BB31, BM5 from group II, BB23 from group III, BT17 from group IV, BB12 and BT6 from group V and BT15 from group VI was taken into consideration as better parents for an effective hybridization program.


Download File

Full text not available from this repository.

Additional Metadata

Item Type: Article
Divisions: Institute of Tropical Agriculture and Food Security
DOI Number: https://doi.org/10.51470/plantarchives.2023.v23.no1.050
Publisher: Plant Archives
Keywords: Eggplant; Genetic diversity; Principal component analysis; Phenotypic correlation and qualitative traits; No poverty; Zero hunger
Depositing User: Ms. Nur Aina Ahmad Mustafa
Date Deposited: 30 Oct 2024 03:28
Last Modified: 30 Oct 2024 03:28
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.51470/plantarchives.2023.v23.no1.050
URI: http://psasir.upm.edu.my/id/eprint/107781
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item