Open access Journal SINTA 1
Molecular Diversity Analysis of Katokkon Chili (Capsicum annum var. chinense) Based on Inter Simple Sequence Repeat (ISSR) Markers
AGRIVITA, Journal of Agricultural Science · Vol. 46 No. 2 (2024) · pp. 238–249
- ISSN
- 2477-8516, 0126-0537
- Published
- 2024-05-16
- Publisher
- Faculty of Agriculture University of Brawijaya in collaboration with PERAGI
- Language
- eng
Abstract
There are numerous kinds of chilies, and many have a specialty and specific growing location, such as the katokkon chili, which is specific to Toraja Highland, South Sulawesi Province, Indonesia. This small bell-chili pepper-shaped chili has a distinctive capsicum aroma and a short burning sensation of hot chili's strong spicy taste. This research aims to study the relationship of the genetic kinship of katokkon chili from Toraja and its surrounding regency (Enrekang and Mamasa regencies) using ISSR molecular markers, which are expected to be used as basic information in genetic resource management. Inter Simple Sequences Repeat (ISSR) markers are used for the molecular analysis of 26 katokkon accessions. The result shows that katokkon chili analyzed have a relatively high heterozygosity value of 0.488. The average heterozygosity value is 0.5. Hence, the genetic diversity in these districts is comparatively high. The katokkon chili accession is grouped into three main clusters, each comprising various samples. Only clusters II and III have a close relationship. Information on the genetic diversity based on ISSR can be used as a molecular marker to support further research on the breeding and development of katokkon chili plants and their accession.
Keywords
Collaboration network of the authors
40 authors · 143 co-authorship links · 21 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Hasanuddin University
- Universitas Halu Oleo
- East–West Center
- Diponegoro University
- Universitas Gadjah Mada
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Muhammad Riadi | Affiliation unknown | 6 |
| Nurhaya J. Panga | Affiliation unknown | 4 |
| Astina Tambung | Affiliation unknown | 4 |
| Muh Riadi | Affiliation unknown | 2 |
| Novitasari Novitasari | Affiliation unknown | 2 |
| A. R. Trisnawaty | Affiliation unknown | 2 |
| Nurul Hasfi | Diponegoro University | 1 |
| Ahsan Yunus | Hasanuddin University | 1 |
| Muhammad Alif K. Sahide | Hasanuddin University | 1 |
| Micah R. Fisher | East–West Center | 1 |
| Emban Ibnurusyd Mas’ud | Affiliation unknown | 1 |
| Fatwa Faturachmat | Hasanuddin University | 1 |
| Ahmad Maryudi | Universitas Gadjah Mada | 1 |
| Hamirul Hadini | Universitas Halu Oleo | 1 |
| MIRZA ARSIATY ARSYAD | Universitas Halu Oleo | 1 |
| Waode Siti Anima Hisein | Universitas Halu Oleo | 1 |
| Dirvamena Boer | Universitas Halu Oleo | 1 |
| NAWIR NAWIR | Universitas Halu Oleo | 1 |
| SUAIB SUAIB | Universitas Halu Oleo | 1 |
| Andi Detti Yunianti | Hasanuddin University | 1 |
| Nurul Muhlisah Mompewa | Hasanuddin University | 1 |
| G Gusmiaty | Hasanuddin University | 1 |
| Kurnia Kurnia | Hasanuddin University | 1 |
| Munajat Nursaputra | Hasanuddin University | 1 |
| Nasri Nasri | Hasanuddin University | 1 |
| Andi Siady Hamzah | Hasanuddin University | 1 |
| Abdur Rahman Arif | Hasanuddin University | 1 |
| Andi Subhan Mustari | Hasanuddin University | 1 |
| Aris Prio Ambodo | Affiliation unknown | 1 |
| Yohan Lawang | Affiliation unknown | 1 |
| Andri Noor Ardiansyah | Affiliation unknown | 1 |
| Trisday Parari | Affiliation unknown | 1 |
| Limbongan Limbongan | Affiliation unknown | 1 |
| Yosua Putra | Affiliation unknown | 1 |
| Ifayanti Ridwan Saleh | Affiliation unknown | 1 |
| Ernitha A. Galla | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.