Issue |
E3S Web Conf.
Volume 306, 2021
The First International Conference on Assessment and Development of Agricultural Innovation (1st ICADAI 2021)
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|
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Article Number | 01027 | |
Number of page(s) | 9 | |
Section | Plant Science | |
DOI | https://doi.org/10.1051/e3sconf/202130601027 | |
Published online | 24 September 2021 |
Diversity of local food crops in Central Java
Assessment Institute for Agricultural Technology of Central Java, Ministry of Agriculture, Jl. Soekarno-Hatta Km. 26 No. 10, Bergas, Central Java, 50552, Indonesia
* Corresponding author: vinaaristya@gmail.com
Food needs serious handling in responding to the challenges of environmental changes and population growth. The diversity of local food crops has the advantage as a source of nutrition and breeding materials. The research aims to determine diverse local food crops in Central Java. A total of 120 farmers were selected by purposive random sampling from Tegal, Brebes, Banjarnegara, and Karanganyar regency, based on different agro-ecological sequences. The field inventory found 257 varieties of 11 types of exotic crops. The compositions of local rice varieties (Indica and Javanica) included seven red rice, nine black rice, 27 white rice, 17 glutinous rice, one animal feed rice, three upland rice, and eight aromatic ones. The frequency of the species distribution rate proves was very narrow in Tegal-Brebes, limited in Banjarnegara, and spread evenly in Karanganyar. The Shannon Diversity Index revealed the diverse species in a region. Banjarnegara had the highest species abundance index. The relationship between the Shannon Diversity Index and Equitability Index illustrates the dominant types of local food plants, especially in Karanganyar dominated by rice. The Sorensen Similarity Coefficient was used to estimate the level of structural similarity between species and regions. Tegal-Brebes have similar species composition and agro-ecological.
© 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.
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