Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/59146
Title: Identifikasi Parameter Agronomi untuk Pengembangan Taksasi Produksi Kelapa Sawit (Elaeis guineensis Jacq.) di Angsana Estate, PT. Ladangrumpun Suburabadi, Minamas Plantation, Tanah Bumbu, Kalimantan Selatan.
Authors: Santosa, Edi
Sulistyo, Hari
Keywords: Bogor Agricultural University (IPB)
South Kalimantan
Production Estimation
Oil Palm
climate
Agronomic Parameters
Issue Date: 2010
Abstract: The purpose of this final assignment was to determine agronomic and agroecological characters responsible to production estimation of oil palm fresh fruit bunches. The studies was conducted at PT. Ladangrumpun Suburabadi, Minamas Plantation, District of Tanah Bumbu, South Kalimantan from February 15th to June 15th 2010. The assignment composed of several works, i.e., as field worker for two months, as assistant foreman for one month, and as estate assistant for one month. Special observation was conducted as additional activity, e.g. to examinate the agronomic and agroecological characters which were expected affected oil palm production such as climates, land suitability, and agronomy of oil palm. According to test of t-parcial, indicated that climatic factors played an important role in the production of oil palm. Air humidity in the 6 months prior to harvest (MPH), the sun shines intensities on 18 MPH, rainfall on 6 MPH, rainy days on 18 MPH, water deficit at 0 and 24 MPH, as well as plant age and fertilizer including the factors determining the production of oil palm. Production forecasting modeling performed by multiple linear regression analysis, from the seven variables significantly affected the production of oil palm, of which obtained six combination of regression. Multiple linear regression equation no. VI was the closest to actual production. This multiple linear regression equation VI can be used to predict the annual production of oil palm in Angsana Estate for 5-11 years old plants by adding up monthly production forecast for a year. It is note worthy that regression equation VI dependent on fertilizer aplikation, number of rainy days and sunshine at 18 MPH, water deficit at the 24 MPH, and present plant age data.
URI: http://repository.ipb.ac.id/handle/123456789/59146
Appears in Collections:UT - Agronomy and Horticulture

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