Classification, physicochemical, soil fertility, and relationship to Coffee robusta yield in soil map unit selected
The research was aimed (1) to classify, characterize the physicochemical properties, determine the fertility of the soil, and (2) to obtain the relationship of soil fertility on the character yield for Coffee robusta in the 10 units of the soil map (SMUs) selected in Silima Pungga-Pungga Sub-district, Dairi District. This research was conducted in Silima Pungga-Pungga sub-District, Dairi District, North Sumatra Province, Indonesia with coordinates 2080’-2088’NL and 98004’-98017'EL from July 2014 until 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 in Silima Pungga-Pungga sub-District, Dairi District, and has the highest land area sequentially, such as 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 order has greater the soil 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 Coffee robusta by 89.30%, however the effect was not significant to the 100 grains of dry weight.
Key words: Entisol; Coffee robusta; Inceptisol; Overlay; Soil fertility.
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