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Test of Bamboo Leaf Bacterial Potential on the Growth and Yield of Shallot Plants (Allium ascalonicum L.) Sulle, Atrieda; Husain, Indriati; Irhamnawati Pulogu, Siska; Zakaria, Fauzan; Yamin, Mayasari
International Journal of Technology and Education Research Vol. 4 No. 01 (2026): January- March, International Journal of Technology and Education Research (IJ
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v4i01.2766

Abstract

This research was carried out at the Laboratory of the Department of Agrotechnology, Faculty of Agriculture, Gorontalo State University and at the Green House of the Gorontalo Agricultural Assembly and Modernization Agency from December 2024 to April 2025. This study aims to determine the effect of soaking onion bulbs with bamboo leaf bacterial isolate on the growth and yield of shallot plants and to obtain bamboo leaf bacterial isolate that has the potential to affect the growth and yield of shallot plants. The study was designed using a Random Design Group (RDG) with a suspension treatment of bamboo leaf bacterial isolates consisting of seven types of bacterial isolates that have not yet been identified, namely, X1, X2, X3, X4, X5, X6, X7, and X0 as controls (without bacterial suspension). The parameters measured were plant height, number of leaves, number of seedlings, number of bulbs, weight of wet bulbs, and weight of dry bulbs. The observation data was analyzed using Analysis of Variance (ANOVA α = 5%), and if the results were significantly different, DMRT was further tested at the level of 5%. The results showed that the X2 bacterial isolate suspension treatment had a real effect on the number of seedlings, and had a good influence on the parameters of the number of bulbs and the weight of dry bulbs.
Analyzing the Impact of Land Resource Dimension on Konjac (Amorphophallus onchophyllus) Yield and Land Suitability Criteria Using PLS-SEM and Boundary Line Methods In Gorontalo, Indonesia Nurdin, Nurdin; Pembengo, Wawan; Adam, Echan; Moonti, Agustinus; Rahman, Rival; Suparwata, Dewa Oka; Angelia, Ika Okhtora; Azis, Muhammad Arief; Arsyad, Silviana; Dude, Suyono; Zakaria, Fauzan; Bagu, Fitria S.; Apriliani, Silvana; Mokoginta, Meity M.; Pade, Satriawati; Rajib, Md. Mijanur Rahman; Hakiman, Mansor
AGRIVITA Journal of Agricultural Science Vol 48, No 1 (2026)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v41i0.4861

Abstract

The current land suitability criteria for konjac are incomplete and fail to consider land dimensions and quality, which influence optimal yield. This research aims to develop criteria for konjac land suitability based on the dimensions, quality, and characteristics of selected land. In Gorontalo Province, Indonesia, 131 land units were surveyed to obtain data on the quality and characteristics. Selection of land dimensions, quality, and characteristics using Structural Equation Modeling (SEM) with Partial Least Squares (PLS). Meanwhile, the optimum yield and distinguished land suitability criteria for konjac plants using the boundary line method. The results indicated that intrinsic and extrinsic dimensions determined the new land suitability criteria. In the intrinsic dimension, land quality was assessed based on root conditions, oxygen availability, nutrient availability, nutrient retention, and sodicity. For the extrinsic dimension, land quality only comprised temperature, water availability, land preparation, and erosion hazard. Land characteristics in the intrinsic dimension consisted of soil drainage, texture, bulk density, particle density, porosity, pH, organic C, CEC, base saturation, total N, available P, and exchangeable K. For the extrinsic dimension, land characteristics included slope, soil erosion, surface rocks, and rock outcrops. The highest optimum yield of konjac was 9.17 t/ha, and the lowest was 6.69 t/ha, respectively.