The objective of this study is to evaluate an indigenous knowledge of the soil in conformation with scientific data. A benchmark watershed was selected near Matankari village, Dosso City in the Sahel zone of Niger, West Africa, and the indigenous soil classification system was surveyed at the benchmark Matankari watershed (BMW). It was revealed that the farmers in BMW used the factors of soil color, soil texture, and soil fertility level to evaluate the soil. Each factor was divided into 3 to 4 subdivisions, the headings for which were given in the local language in Haussa. The farmers identified the soil by a combination of these subdivisions or by the direct meaning of the subdivision. “Hori-rairay”, “Lesso”, “Phara-kassa”, “Ja-kassa”, “Baka-kassa”, “Baringo”, “Ja-laka”, “Kounkou”, “Tsagana” are the various names assigned to the soil in BMW. The soil evaluations on color, texture and fertility are based on their long term experiences over the years, and are of considerable significance to their society. The soil samples which were collected from BMW, were subjected for quantitative evaluation and identification of soil property characteristics. Munsell's soil color, particle size distribution, total carbon, total nitrogen, available phosphorous, and effective cation exchangeable capacity were analyzed in the laboratory. The information derived from the farmers’ evaluation was well corresponded to the analytical data, for example, “Hori-rairay” which was evaluated as the poorest soil by farmers, was of light color, quite sandy, and had a lower fertility level than any other soil. On the other hand, “Baringo”, which was evaluated as the most fertile soil for crop cultivation in BMW, was of darker color, clayey, and had high effective cation exchange capacity. These quantitative characterizations revealed that the indigenous soil classification and evaluation system has a reasonable back ground, even empirical basis, which can be corroborated scientifically.
This study indicates that indigenous soil knowledge, in accordance with its scientific translation, can be a relevant source of information for effective practical application to the system of soil classification and evaluation. In addition, findings of this study suggests that indigenous soil knowledge may provide a rapid evaluation on microscale soil distribution in the fragile ecosystem of a semi-arid zone. In the long run, indigenous knowledge will playa vital role for sustainable agriculture in this region.
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