Soemarno Soemarno
Department of Soil Science, Faculty of Agriculture, Brawijaya University

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Analysis of Soil Penetration Resistance in Coffee Plantation Agroecosystems in Bangelan, Malang, East Java Saniya Reizta Riyanto; Atiqah Aulia Hanuf; Febri Ayu Alista; Alifa Yumna; Soemarno Soemarno
PLANTA TROPIKA Vol. 10 No. 2 (2022)
Publisher : Department of Agrotechnology, Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/pt.v10i2.11085

Abstract

Agriculture land shows soil compaction problems due to long-term agricultural cultivation activities. Soil compaction indicator can be seen from the value of soil penetration resistance at different soil depths (0 - 60 cm). This research aimed to determine soil penetration resistance at different coffee plantation ages with different soil depths and to analyze the relationship between soil penetration resistance with soil physical characteristics and coffee productivity. The survey activities include observation of minipits, measuring soil penetration resistance at soil depths of 0-20 cm, 20-40 cm, and 40-60 cm using a hand penetrometer, and soil sampling. The results showed that the soil penetration resistance at each LU and soil depth suggested variation were categorized into moderate and high soil penetration resistance classes (1.34 MPa - 3.35 MPa). Soil characteristics, such as soil aggregate stability, water content, bulk density, porosity, silt content, and clay content, significantly correlate with soil penetration resistance. However, soil penetration resistance has a negative correlation with coffee productivity. The value of soil penetration resistance (at a depth of 0-60 cm) has a significant negative correlation with the average productivity of coffee plantations (r=-0.5936**). Therefore, increased soil penetration resistance decreased root growth, decreasing plant productivity.
Mesolandform classification and its relationship with smallholder coffee production in the Malang Regency, Indonesia Dinna Hadi Sholikah; Jamhuri Jamaluddin; Abdul Wahid Hasyim; Mochtar Lutfi Rayes; Haidar Fari Aditya; Soemarno Soemarno
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 22, No 1 (2025): June
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v22i1.93461

Abstract

Mesolandform analysis is necessary for smallholder coffee land management because it can clearly distinguish landform boundaries. Automatic mesolandform classification utilizes geographic information system (GIS) and remote sensing technology using the topographic position index (TPI), slope, curvature, lithology, land use, and normalized difference vegetative index (NDVI). This study aims to classify the mesolandform of smallholder coffee plantations and determine its relationship attributes with coffee production. The data included the Digital Elevation Model, lithology map, Sentinel 2 A harmonized image, and actual coffee production. The spatial analysis was performed using ArcGIS 10.8 and QGIS 3.1.6, and the statistical data analysis was performed using RStudio. Mesolandform affects coffee production (p < 0.0001) and was significantly related to it. The highest production was found on the open slope mesolandform, with coffee production ranging from 7.13 to 9.95 tons/ha. Mesolandform attributes have a significant effect on coffee production increase (R2 = 0.69) on land characteristics with high coffee vegetation density (NDVI > 0.6), topographic position in open slope to flat (TPI 0–2), dominant slope is flat to undulating (<8%), and land curvatures are level or convergent foot slope (<2). The research results can support the sustainable management of smallholder coffee plantations based on mesolandform attributes.