Issue |
E3S Web Conf.
Volume 226, 2021
The 1st International Conference on Bioenergy and Environmentally Sustainable Agriculture Technology (ICoN BEAT 2019)
|
|
---|---|---|
Article Number | 00051 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/e3sconf/202122600051 | |
Published online | 05 January 2021 |
Study of Agronomic Characteristics of Robusta Coffee at Coffee Plantations in Temanggung, Indonesia
1 Agriculture Faculty, Institut Pertanian Stiper, Jl. Nangka II, Sleman, Special Region Yogyakarta 55283, Indonesia
2 Coffee Enterpreuner, Dusun Mandang, Desa Sucen, Kecamatan Gemawang, Temanggung 56283, Indonesia
3 Faculty of Engineering, Bina Nusantara University, Jl. K.H.Syahdan No.9, Kemanggisan, Palmerah, Jakarta 11480, Indonesia
4 Hochschule Ruhr West, University of Applied Sciences, Duisburger Str. 100, Mulheim 45479, Germany
* Corresponding author: astuti_maria2000@yahoo.com
This research aims to study the condition of the land, its relation to the character of the coffee plant in the farmers’ coffee plantation in the Sucen Village, Gemawang District, Temanggung, Indonesia. The research was carried out at a community coffee plantation in Sucen Village, Temanggung, Central Java, Indonesia. The research was conducted using descriptive and inferential statistics. Observation of performance with 30 samples was conducted by random sampling technique in three clones. Land suitability analysis was carried out at three observation points. The result showed that the vegetative character of BP 409 clones is better than BP 288 and BP 358. However, the highest production was obtained at BP 288. Land suitability in Sucen Village remains in the inappropriate criteria, which can be improved through land conservation and balanced fertilization.
Key words: Character of the coffee plant / Coffea canephora / increase coffee productivity / land feasibility / sustainable coffee agriculture
© The Authors, published by EDP Sciences, 2021
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.