Navegando por Autor "Karim, Abubakar"

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Analysis of arabica coffee productivity due to shading, pruning, and coffee pulp-husk organic fertilizers treatments
(Editora UFLA, 2021) Karim, Abubakar; Hifnalisa, Hifnalisa; Manfarizah, Manfarizah
Arabica coffee productivity can be increased through improved cultivation techniques. This research aims to analyze Arabica coffee production to treat shad ing, pruning, and coffee pulp-husk organic fertilizer application. The research was carried out in two stages, in the first stage a field survey was conducted to determine the relatively uniform land and plant characteristics, while in the second stage was the application of coffee pulp-husk organic fertilizer and pruning of shaded and non-shaded coffee plants by using farmer’s method and the recommended methods by the authors. The application of coffee pulp-husk or ganic fertilizer consists of 0, 2.50, 5.00, and 7.50 kg tree-1, which is equivalent to 0, 4, 8, and 12 tons ha-1 respectively. This research was arranged in a split-plot design, with shades placed in the main plot, while pruning and the application of coffee pulp-husk organic fertilizer in the subplots. The variables observed were the number of redcherries tree-1, greenbean (dry bean) production, and rendement (yield) production at 14% moisture content. Furthermore, the best effect and treatment were determined using variance analysis and the least significant difference (LSD). The result showed that shade only affected rende ment production at 14% moisture content, coffee with shade is better than no shade, pruning affected the number of redcherries and greenbean production. Furthermore, the recommended pruning was better than farmer pruning, while coffee pulp-husk organic fertilizer affected all observed variables. Therefore, the best dose is 7.50 kg tree-1 (12 ton ha-1) because the treatment combination (SxPxF) affected only greenbean production.
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, Abubakar
The 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.