Coffee Science
URI permanente desta comunidadehttps://thoth.dti.ufv.br/handle/123456789/3355
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Resultados da Pesquisa
Item Identification of soil physicochemical, land suitability, and its relationship to Coffee arabica yielding based on plant age groups(Universidade Federal de Lavras, 2023-08-25) Marbun, Posma; Bintang; Tampubolon, Koko; Sihombing, Fransisca Natalia; Simanjuntak, Desi Ratnasari; Irly, Irene; Sinuraya, MariatiThe low yield of Coffee arabica could be caused by several factors such as low soil characteristics and depending on the plant age. This study aimed: (1) to obtain information on soil physicochemical characteristics and productivity of Coffee arabica in different age groups, (2) to evaluate the land suitability for C. arabica plants and obtain the relationship between land characteristics and C. arabica yield. This study was conducted on C. arabica smallholders in Tarutung Subdistrict, North Tapanuli District, North Sumatra, Indonesia from October 2021 to February 2022 and used a descriptive-analytic method. Overlay maps of soil type, altitude, and slope to obtain a Soil Map Unit (SMU) then surveyed for the plant age distribution of 6-10 and 11-15 years. Land characteristics were analyzed by matching method, multiple linear regression, and t-test of yielding characters using IBM SPSS software. The results showed that the soil physicochemical characteristics were classified as low, the soil texture was slightly sticky, and higher productivity was found at 11-15 years old. It was found that the potential and actual land suitability classes were not suitable (N) in SMU-1 at 11-15 years, and other SMUs were classified as marginally suitable (S3). Altitude, silt, and clay fractions significantly affect the productivity of C. arabica plants at 6-10 years. However, an increase in altitude, cation exchange capacity, base saturation, and organic-C could be increased the productivity of C. arabica at 6-10 years.Item Classification, physicochemical, soil fertility, and relationship to Coffee robusta yield in soil map unit selected(Editora UFLA, 2020) Marbun, Posma; Nasution, Zulkifli; Hanum, Hamidah; Karim, AbubakarThe research was aimed to classify, characterize the physicochemical properties, determine the fertility of the soil, and to obtain the relationship of soil fertility on the character yield for Coffee robusta in the 10 units of the soil map (SMUs) selected. This research was conducted in Silima Pungga-Pungga sub-District, Dairi District, North Sumatra Province, Indonesia from July 2014 to June 2017. This research was conducted by overlay the maps, classifying soil profiles, characterizing soil, soil fertility assessing, and regression analysis of soil fertility with the yield for Coffee robusta using IBM SPSS Statistics v.20 software. The result showed the ten from 18 SMUs selected for Coffee robusta had the highest area in sequentially, namely SMU 11, 14, and 1. Based on the ten SMUs selected, found in two representative soil profiles, include the profile 1 (SMU 1, 2, 8, 9, 11, 13, 14, 16, 18) covering an area of 1,703.30 ha with the inceptisol and profile 10 (SMU 10) covering an area of 176.81 ha with the entisol. Inceptisol has greater thesoil physicochemical properties compared to entisol from ten SMUs selected for Coffee robusta. The effect of cation exchange capacity, base saturation, P-total, K-total, and C-organic have significantly increased the productivity of Coffee robusta by 89.30%. However, the effect was not significant to the 100 grains of dry weight.