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Assessment of soil fertility using the soil fertility index method on several land uses in Tutur District, Pasuruan Regency of East Java Sasongko, Purnomo Edi; Purwanto, Purwanto; Dewi, Widyatmani Sih; Hidayat, Ramdan
Journal of Degraded and Mining Lands Management Vol. 10 No. 1 (2022)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2022.101.3787

Abstract

Changes in land use have an impact on the level of soil fertility. Soil management, such as land cover systems and the environment, are supporting factors. Assessment of soil fertility index using indicators of soil chemical properties such as organic C, availability of nutrients nitrogen (N), phosphorus (P), cation exchange capacity (CEC), and exchangeable cations (K, Ca, Mg, Na). The research was conducted in Tutur District, Pasuruan Regency, with a survey of 5 land uses, i.e., mixed crops, coffee plantations, apple plantations, vegetable fields, secondary forests, and conservation forests. Observations were made on elevation, slope, and vegetation. Parameters of physical properties measured were soil texture and aggregate stability. Observations of chemical properties included organic C, N, P, CEC, exchangeable cation (K, Ca, Mg, Na), and soil pH. Soil Fertility Index (SFI) data were analyzed using the Least Significant Difference method at a 5% level. The results showed the diversity of soil fertility levels obtained from the calculation of the soil fertility index. The soil fertility index value in 5 land uses in Tutur District ranged from 0.67 to 1.00. Coffee plantations had the highest SFI score of 1.00; this condition was supported by an organic C indicator of 6.21% and a CEC value of 39.12 cmol kg-1. Conservation forest is the land use with the lowest SFI value of 0.67. The value of CEC and cation exchange in conservation forests are factors that impact the low value of SFI. 
Interactive Effects of Gibberellin Application and Shading Regimes on The Growth and Yield of Red Lettuce (Lactuca sativa L.) in Verticulture System Aulia Firnanda Putri; Ramdan Hidayat; Pangesti Nugrahani
JURNAL PEMBELAJARAN DAN BIOLOGI NUKLEUS Vol 12, No 3: Jurnal Pembelajaran Dan Biologi Nukleus September 2026
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jpbn.v12i3.9552

Abstract

Background:. Red lettuce (Lactuca sativa var. Arista) cultivated in lowland areas often experiences growth constraints due to high temperature and excessive light intensity, resulting in reduced productivity. The application of gibberellin and shading is considered a potential strategy to improve plant growth and yield under these conditions. Methodology: This study aimed to evaluate the interaction between gibberellin concentration and shading percentage on the growth and yield of red lettuce cultivated using a vertical farming system. This study was conducted in Paji Village, Pucuk District, Lamongan Regency, at an elevation of 7 meters above sea level, with temperatures ranging from 24°C to 34°C and an average rainfall of 8–25 mm per month. A split-plot design with three replications was used, with shading levels of 0%, 50%, and 75% as main plots and gibberellin concentrations of 0, 50, 100, and 150 ppm as subplots. Data were analyzed using ANOVA, followed by a 5% HSD test when significant differences were detected. Findings: Significant interactions between gibberellin concentration and shading percentage were observed for plant height, leaf number, leaf area, and fresh canopy weight. Gibberellin concentration significantly affected harvest index, whereas shading significantly affected leaf color. The combination of 100 ppm gibberellin and 75% shading produced the highest growth and yield, while harvest index and leaf color were not significantly affected by the interaction. Contribusions: This study provides practical guidance for optimizing gibberellin concentration and shading to enhance red lettuce growth and yield in vertical farming systems, supporting urban agriculture practices in lowland areas
Optimization of Mycorrhizal Fertilizer Dosage and Goat Manure on Bean (Phaseolus vulgaris L.) Plant Yield Dwi Rosa Ilma Silfia; Widi Wurdjani; Ramdan Hidayat
JURNAL AGRONOMI TANAMAN TROPIKA (JUATIKA) Vol. 8 No. 2 (2026): Jurnal Agronomi Tanaman Tropika (JUATIKA) Vol. 8 No. 2 Mei 2026
Publisher : LPPM UNIVERSITAS ISLAM KUANTAN SINGINGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/juatika.v8i2.5032

Abstract

Green beans (Phaseolus vulgaris L.) are legume plants widely cultivated in tropical regions, particularly in Indonesia. However, their productivity remains low due to a lack of organic matter and limited availability of essential nutrients, especially phosphorus (P). This study aimed to determine the optimal dosage of mycorrhizal fertilizer and goat manure for the best growth and yield of green bean plants. The experiment was arranged in a factorial design with two factors using a Completely Randomized Design (CRD). The first factor was the dosage of mycorrhizal fertilizer, consisting of four levels: 0, 10, 20, and 30 g per plant. The second factor was the dosage of goat manure, also consisting of four levels: 60, 120, 240, and 480 g per plant. The application of mycorrhizal fertilizer and goat manure to bean plants, using 30 g/plant of mycorrhiza and 480 g/plant of goat manure, produced the best results for pod weight per plant, with an increase of 112.21% compared to the control treatment. The results showed that the combination of 30 g of mycorrhizal fertilizer and 480 g of goat manure per plant significantly affected the number of leaves at 14 and 28 days after planting (DAP), as well as the total pod weight per plant. A dosage of 30 g of mycorrhizal fertilizer per plant produced the highest total number of pods per plant, the best harvest index, the tallest plant height at 28 DAP, and the earliest flowering time. Meanwhile, a dosage of 480 g of goat manure per plant gave the best results for all observed parameters.