Pengaruh Jumlah Ruas dan Konsentrasi Rootone-F pada Pertumbuhan Setek Kopi Robusta release_2qan7l2x2rd2dnorr77zrl63n4

by Abdurrahman Salim, Novie Pranata Erdiansyah, Bhima Reformana Yudha

Published in Jurnal Agro Industri Perkebunan by Politeknik Negeri Lampung.

2022   p9-18

Abstract

Coffee is one of the commodities in Indonesia that excels in exports, and one of the most widely cultivated coffees in Indonesia is robusta coffee. Propagation by segment cuttings on Robusta coffee plants can produce new plants in large numbers and have the same gene characteristics as the parent in a short period. Then there is a growth regulatory administered exogenously (from outside) are an alternative way to accelerate root formation in plants. This study was conducted to determine the effect of the number of segments and concentration of Rootone-F on the growth of robusta coffee cuttings. The research was conducted for three months, from 23 March 2021 to 15 June 2021. The research was conducted at the Kaliwining Gardens, the Coffee and Cocoa Research Center, Jember. The statistical method used was a completely randomized design (CRD) by factorial. The first factor was the number of segments and the second factor was the concentration of Rootone-F; there were 12 treatment combinations and three replications. The results showed that the number of internodes' treatments was significantly different on shoot length, root wet weight, and root dry weight. The concentration of Rootone F was not significantly different for all variables observed.
In application/xml+jats format

Archived Files and Locations

application/pdf   232.8 kB
file_3oxlmixcefb5xeztiu65e5uroa
jurnal.polinela.ac.id (publisher)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2022-05-11
Container Metadata
Open Access Publication
In DOAJ
In ISSN ROAD
Not in Keepers Registry
ISSN-L:  2337-9944
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 1b59694d-133e-4251-bce0-8e14ebfd86f0
API URL: JSON