Issue |
E3S Web Conf.
Volume 609, 2025
The 7th International Conference on Multidiscipline Approaches for Sustainable Rural Development (ICMA SURE 2024)
|
|
---|---|---|
Article Number | 06003 | |
Number of page(s) | 8 | |
Section | Sustainable Agriculture and Food Systems | |
DOI | https://doi.org/10.1051/e3sconf/202560906003 | |
Published online | 24 January 2025 |
Performance of Five Introduced Cabbage Varieties (Brassica oleracea var. capitata L.) Planted at the Highland of Pemalang Regency
1 Department of Agrotechnology, Faculty of Agriculture, Jenderal Soedirman University, Purwokerto, Indonesia
2 MD Indonesia Bayer Seminis, Jakarta, Indonesia
3 MD SEA Bayer Seminis, Bangkok, Thailand
* Corresponding author: rostamanos@gmail.com
Cabbage productivity in Indonesia has yet to reach its full potential, making the introduction of new cabbage varieties crucial to identifying those with specific advantages. This research aims to: (1) evaluate the adaptability of introduced cabbage varieties cultivated during the rainy season in Pemalang Regency, (2) compare genetic and phenotypic variations among these varieties, and (3) determine the heritability of key traits. The research was conducted in Gombong Village, Belik District, Pemalang Regency, at an altitude of 1100 meters above sea level on andosol soil from February 2023 to August 2024. Five introduced cabbage varieties—Omphalos, Tropicana, Kaelo, Saint, and Dolares—were tested, alongside comparison varieties Grand 11/Kubindo-1 and Green Nova. A randomized block design (RBD) was used, and quantitative data were analyzed with an F test (ANOVA) at a 5% error level, followed by a Dunnet test and genetic and phenotypic diversity estimates. Qualitative data were analyzed according to UPOV 2016 guidelines. Results showed that the introduced varieties had different adaptations, with high genetic diversity significantly influencing phenotypic traits. The heritability of each variety was relatively high, with genetic factors accounting for a larger share of variation in nine quantitative traits than environmental factors.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.