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Genetic Variability and Selection of Doubled Haploid Lines of Eggplant (Solanum melongena L.) Obtained from Anther Culture Cover

Genetic Variability and Selection of Doubled Haploid Lines of Eggplant (Solanum melongena L.) Obtained from Anther Culture

Open Access
|Sep 2026

Abstract

Genetic variability is essential for accelerating the selection of high-yield varieties. Therefore, this study aims to evaluate the genetic variability and agronomic performance of eggplant doubled haploid obtained through anther culture. A total of 18 genotypes (15 doubled haploid lines and 3 commercial varieties) were assessed using a randomised complete block design with 4 replications. Data were analysed for heritability, cluster analysis, phenotypic correlations, and a weighted selection index. Significant variation was observed among genotypes, with stem diameter, plant height, fruit number, fruit weight, and fruit length showing high heritability and extensive genetic diversity. In addition, cluster analysis grouped the genotypes into 3 clusters at a 20% similarity threshold. The results showed that fruit weight per plant exhibited strong positive correlations with fruit weight, diameter, length, stalk length, plant height, and stem diameter. The weighted selection index identified 11 promising doubled haploid lines, including derivatives of Hitavi F1 (AM8H, AM9H, AM10H, and AM11H), Mustang F1 (AM13M and AM14M), and Provita F1 (AM4P, AM6P, AM23P, AM28P, and AM29P). These results indicated the strong potential of the selected doubled haploid lines for eggplant variety development.

DOI: https://doi.org/10.2478/agri-2026-0003 | Journal eISSN: 1338-4376 | Journal ISSN: 0551-3677
Language: English
Page range: 31 - 43
Submitted on: Oct 5, 2025
Accepted on: Apr 29, 2026
Published on: Sep 5, 2026
Published by: National Agricultural and Food Centre
In partnership with: Paradigm Publishing Services
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© 2026 Samsul Ma’arif, Bambang Sapta Purwoko, Arya Widura Ritonga, Iswari Saraswati Dewi, published by National Agricultural and Food Centre
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.