Futures in Agro-Food Economics and Logistics Analytics Journal
Vol. 1 No. 2 (2025): June

The Effect of Soaking Several Types of Auxin on the Growth of Robusta (Coffea Canephora Pierre Ex A. Froehner) and Arabica (Coffea Arabica L.) Cuttings Using Floral Foam Media

Sepdian Luri Asmono (Politeknik Negeri Jember)
Bivario Ayubizareta Waskitoi (State Polytechnic of Jember)
Dian Galuh Pratita (State Polytechnic of Jember)
Hatmiyarni Tri Handayani (State Polytechnic of Jember)



Article Info

Publish Date
15 Jul 2025

Abstract

This study aims to determine the effect of auxin growth regulators, IAA, NAA, and IBA, on the growth of robusta and arabica coffee cuttings in floral foam media. This research was conducted at Jember State Polytechnic and employed a Randomized Group Design (RBD) with two treatment factors. The first factor is three types of Auxin (IAA, NAA, IBA) and the second factor is arabica and robusta coffee types. So there were six treatment combinations and each was repeated five times. This study was conducted for 3 months with the observation parameters were percentage of cuttings survive and growing shoots, shoot emergence time, shoot and leaf length. Data results were analyzed using Analysis of Variance (ANOVA) and Tukey's HSD test at 5% level. Based on the results of the data obtained, it is known that the administration of IBA has the best effect on the parameters of shoot emergence time, shoot length, and leaf length of all types of auxin growth regulator treatments. However, in this study, cuttings grown from several types of auxin applied did not show root formation. The percentage of live cuttings for the treatment of coffee types shows Arabica coffee which is the type of coffee that has the best growth.

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Journal Info

Abbrev

jfafela

Publisher

Subject

Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Industrial & Manufacturing Engineering

Description

FAFELA: Futures in Agro-Food Economics and Logistics Analytics Journal is an international, open-access, and double-blind peer-reviewed journal dedicated to being the premier platform for forward-looking research at the intersection of agricultural economics, food systems, and data-driven logistics. ...