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INDONESIA
Agromet
Published by Institut Pertanian Bogor
ISSN : 01263633     EISSN : 2655660X     DOI : -
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Agromet publishes original research articles or reviews that have not been published elsewhere. The scope of publication includes agricultural meteorology/climatology (the relationships between a wide range of agriculture and meteorology/climatology aspects). Articles related to meteorology/climatology and environment (pollution and atmospheric conditions) may be selectively accepted for publication. This journal is published twice a year by Indonesian Association of Agricultural Meteorology (PERHIMPI) in collaboration with Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, IPB University.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol. 32 No. 1 (2018): JUNE 2018" : 5 Documents clear
Forecasting Season Onsets in Kapuas District Based on Global Climate Model Outputs Laode Nurdiansyah; Akhmad Faqih
Agromet Vol. 32 No. 1 (2018): JUNE 2018
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1207.723 KB) | DOI: 10.29244/j.agromet.32.1.1-10

Abstract

Predictions of the rainy and dry season onsets are very important in climate risk management processes, especially for the development of early warning system of land and forest fires in Kalimantan. This research aims to predict the rainy and dry season onsets in two cluster regions in Kapuas District, Central Kalimantan. The prediction models used to predict the onsets are developed by using seasonal rainfall data on September-October-November (SON) periods as predicted by five Global Climate Models (GCMs). The model uses Canonical Correlation Analysis (CCA) method available in the Climate Predictability Tool (CPT) software developed by the International Research Institute for Climate and Society (IRI), Columbia University. The results show that the predictors from HMC and POAMA models produce better canonical correlations (r = 0.72 and 0.89, respectively) compared to BCC (r=0.46), CWB (r=0.62), and GDAPS_F (r=0.67) models. In the development of models for predicting the dry season onsets, the predictors from CWB and POAMA models perform better canonical correlation results (r = 0.73 and 0.76, respectively) compared to BCC (r=0.53), GDAPS_F (r=0.64), and HMC (r=0.46) models. In general, the model validations showed that CWB, GDAPS_F, and POAMA models have better predictive skills than BCC and HMC models in predicting onsets of the rainy and dry seasons (with Pearson correlations (r) ranging between 0.30 and 0.75). Experiments on those five models for the predictions of rainy season onset in 2013 showed that the predicted onsets occurred on the range of 8 September to 22 October in Cluster 1 and on 3 to 7 October in Cluster 2. For the predictions of the dry season onsets in 2014, the models predicted the occurrences from 6 to 25 May in Cluster 1 and from 21 to 25 March in Cluster 2.
Comparison of Aerodynamic, Bowen-Ratio, and Penman-Monteith Methods in Estimating Evapotranspiration of Oil Palm Plantation Tania June; Ni Wayan Srimani Puspa Dewi; Ana Meijide
Agromet Vol. 32 No. 1 (2018): JUNE 2018
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1063.324 KB) | DOI: 10.29244/j.agromet.32.1.11-20

Abstract

Oil palm is one important agricultural commodity that has high economic value. Oil palm productivity is significantly influenced by its water use (needs). Measurement and estimation of oil palm evapotranspiration is needed for determination of its water needs. Various methods are available and this study compare three methods, consisting of aerodynamic, Bowen-Ratio and Penman-Monteith methods in analyzing water needs/use of oil palms plantation located in PTPN VI Jambi.  Peak of evapotranspiration rate occured in the afternoon around 13.00 and 14.00 local time. Bowen-Ratio method has higher estimation value of evapotranspiration than the other two methods. Ratio between evapotranspiration and global radiation of two and ten-years old oil palm plantations remain similar, around 47%. Penman Monteith method has the nearest estimation value to reference method (aerodynamic method) showed by the smallest RMSE value, 0.087 for two years oil palm and 0.157 for ten-years old oil palm.
Evapotranspiration of Sandalwood (Santalum Album L.) Seedlings with Several Primary Host Plants Yudi Riadi FanggidaE; Impron Impron
Agromet Vol. 32 No. 1 (2018): JUNE 2018
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (29.696 KB) | DOI: 10.29244/j.agromet.32.1.21-30

Abstract

Sandalwood (Santalum album L.) seedlings planted with different primary host plants should require different amounts of water. In practice, however, sandalwood seedlings with different primary host plants are irrigated with similar amount of water. Thus, it is interesting to study the amount of water expressed as evapotranspiration for the sandalwood seedlings and their primary host plants because there are hemiparasitic symbiosis plants in one planting medium. The purpose of this research was to compare and analyse evapotranspiration (ET) and water use efficiency (WUE) of sandalwood seedlings with different primary host plants, namely chili (Capsicum annum), krokot (Alternanthera sp.), and sengon (Albizia chinensis). The experiment was conducted in a greenhouse and designed using completely randomized design. Results showed that different primary host plants already influenced ET at 6 days after sowing of primary host (DASH). The sandalwood seedlings with chili and krokot as primary hosts, had the highest ET during 6-22 DASH. From 24 to 36 DASH, ET for all types of host plants were similar. After 36 DASH, ET of sandalwood seeding with primary host sengon increased, and had the highest ET. Sandalwood seedling with primary host krokot had the highest WUE to produce sandalwood above ground biomass with value 0.3 g/l during the 0-3 weeks after sowing of primary host (WASH), 0.6 g/l during the 3-6 WASH, and 0.9 g/l during 6-9 WASH.
Model Simulation of Soybean (Glycine Max (L.) Merrill) Growth by Energy Balance Approach Fajar Syofwan; Handoko Handoko
Agromet Vol. 32 No. 1 (2018): JUNE 2018
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1046.088 KB) | DOI: 10.29244/j.agromet.32.1.31-41

Abstract

Intercepted solar radiation by leaf will influence energy balance in plant. The energy balance in leaf is a complex process, which results in biomass growth. Here, we modeled leaf energy balance to estimate dry matter growth in soybean. In the field, we measured intercepted radiation in canopy (1 meter above surface) with two treatments: soybean with 50% shading (N50%M0) and no-shading (N0%M0) twice a week. Then we sampled a biomass with destructive technique every week in each treatment. Our results showed that the intercepted radiation in no-shading treatment was higher (400 J/m2) than those in shading one (250 J/m2). The results were consistence with the high biomass growth at 12 weeks after planting, which observed in no-shading treatment. Then we validated our model by 1:1 plot test. Our finding revealed that no-shading treatment showed a good agreement with the observed biomass (closed to 1:1 plot), whereas the shading treatment tended to predict under estimate of biomass.
The Role of Vegetation in Reducing Anthropogenic CO2 in Bogor City Ariesta Kusuma Wardhani; Bregas Budianto; Yon Sugiarto
Agromet Vol. 32 No. 1 (2018): JUNE 2018
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.481 KB) | DOI: 10.29244/j.agromet.32.1.42-50

Abstract

Vegetation has a role in reducing CO2 from anthropogenic activities through photosynthesis. Fuel combustion is one of the activities that greatly contribute to CO2 emissions. As a city with many destinations, the possibility of CO2 emissions will increase in Bogor especially on holidays because of motorized vehicle from other cities. This research aims to determine the absorption capability of vegetation in Bogor City in reducing CO2 emitted from fuel combustion. We analyzed CO2 data for 2017 by day to obtain traffic levels in the city assuming that people mobility using vehicle was influenced by day. Then we separated CO2 data into slow and fast photosynthesis rate based on air temperature. We determined the absorption capability of vegetation at daily basis by calculating the difference between the min and the max of CO2 concentration divided by the min of CO2. Our results showed that the lowest CO2 level was in Sunday. On that day, the average air temperatur was high indicating the less CO2 concentration. Our one-way Anova test confirmed this finding. The finding revealed that the absorption capability of vegetation to reduce anthropogenic CO2 was still limited. To implement Bogor as green city, more vegetations and gardens are needed to balance an increased CO2.

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