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INDONESIA
JURNAL BUDIDAYA PERTANIAN
Published by Universitas Pattimura
ISSN : 18584322     EISSN : 2620892X     DOI : -
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
JURNAL BUDIDAYA PERTANIAN (Journal of Agriculture) first published in 2003 by the Department of Agriculture, Faculty of Agriculture, Pattimura University. Jurnal Budidaya Pertanian is an official publication of the Agriculture Faculty, Pattimura University, publishes primary research paper, review article, policy analysis, and research notes and preliminary results in all areas of agronomy. Manuscripts could be written either in English or in Indonesia.
Arjuna Subject : -
Articles 12 Documents
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Search results for , issue "Vol 19 No 1 (2023): Jurnal Budidaya Pertanian" : 12 Documents clear
Analysis of Physical Characteristics and Soil Degradation Due to Erosion and Rehabilitation Recommendation Based on GIS in Protected Forest Area of Mount Sirimau Tupanno, Carla E; Talakua, Silwanus; Soplanit, Rudy; Osok, Rafael M
JURNAL BUDIDAYA PERTANIAN Vol 19 No 1 (2023): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2023.19.1.58

Abstract

Forest areas are designated as protected forests if they function as a provider of clean water reserves, erosion control, city lungs or other functions. Disruption of forest land resources has an impact on changes in the physical properties of the soil and soil degradation due to erosion. Objectives of this study were: 1) to examine the relationship between soil physical properties, 2) to determine soil degradation due to erosion, 3) to examine the relationship between soil physical properties and the level of soil degradation due to erosion, 4) to determine recommendations for land rehabilitation. Research observations were made based on 15 sample areas representing 212 land units. All analyzes were carried out based on Geographic Information Systems (GIS). The physical properties of the soil studied included texture, structure, pore distribution, permeability, particle density and oven dry mass density; whereas soil degradation analysis was based on RUSLE: A=RKLSCP (Renard et al., 1997), and correction of the erosion model A=0.2547RKLSCP (Talakua S.M. and Osok, 2017. The rehabilitation recommendations analyzed were erosion tolerance, potential erosion and CP-maximum. Study results were: 1) The correlation between physical properties was significant (P-value = 0.000*-0.018*) with a positive correlation coefficient (0.163-0.999) and negative one (0.199-0.998); 2) The average erosion rate was: light 3.60 t/ha/year (1425.20 ha), moderate 32.03 t/ha/year (410.28 ha), heavy 108.95 t/ha/year (946 .2 ha), very heavy 426.83 t/ha/year (457.44 ha); 3) There was a significant correlation between the physical properties of the soil and the amount of erosion with a P-value = 0.000*–0.029* with a positive (0.152-0.161) and a negative (0.150-0.151) correlations; 4) Recommendation for rehabilitation are agroforestry patterns combined with tillage and planting of plants according to contour lines on slopes of 0–8%, planting grass in strips, planting low ground cover on high density plantation crops and maintaining secondary and primary forests.
Rainfall Anomaly and Its Effect on the Clove Productivity in Two Regions with Different Rain Pattern In Maluku Manullang, Sovya M M; Laimeheriwa, Samuel; Amba, Martha
JURNAL BUDIDAYA PERTANIAN Vol 19 No 1 (2023): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2023.19.1.48

Abstract

Clove production in Maluku fluctuates from year to year, one of which is influenced by rainfall anomalies. This study aimed of describing extreme rainfall events and analyzing the relations between rainfall and clove productivity in two areas with different rainfall patterns in Maluku. This study used a survey method by using interviews and Focus Group Discussions with several farmer respondents as well as collecting climatic data from related agencies. Data analysis was divided into rainfall data generation, rainfall analysis in extreme conditions, and regression analysis to assess the effect of rainfall on clove productivity. The results showed that a very extreme El Nino event caused a decrease in rainfall on Nusalaut Island by 1868 mm or 57% of its normal condition, and in Air Buaya District by 875 mm or 42% of its normal condition. Very extreme La Nina events caused rainfall to increase in Nusalaut Island by 2059 mm or 62% of its normal condition, and in Air Buaya District by 1193 mm or 37% of its normal condition. The results of the regression analysis showed that the value of the coefficient of determination (R²) for Nusalaut Island by 84.8% and for Air Buaya District by 70.8%; this shows that rainfall has a significant effect on clove productivity.

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