ESTIMATE OF WATER EROSION IN COFFEE GROWING AREAS IN SERRA DA MANTIQUEIRA, MINAS GERAIS STATE, BRAZIL

Despite its socioeconomic relevance, coffee production in the Southern Minas Gerais is also characterized by extensive land use, inadequate edaphic management, inefficient crop rotation, misuse and lack of herbicide alternation and non-application of related plans the Integrated Management of Pests...

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Bibliographic Details
Published in:Poljoprivreda i šumarstvo Vol. 67; no. 2; pp. 75 - 88
Main Authors: Brandao SANTANA, Derielsen, de Melo BOLLELI, Talyson, Henrique Expedito LENSE, Guilherme, Felipe Pigatto Miranda SILVA, Luis, SESTRAS, Paul, SPALEVIC, Velibor, Luiz MINCATO, Ronaldo
Format: Journal Article
Language:English
Published: Titograd University of Montenegro, Biotechnical Faculty 30-06-2021
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Summary:Despite its socioeconomic relevance, coffee production in the Southern Minas Gerais is also characterized by extensive land use, inadequate edaphic management, inefficient crop rotation, misuse and lack of herbicide alternation and non-application of related plans the Integrated Management of Pests and Diseases - MIPD (Giunti, 2017). The digital land use and occupation map was produced from images Landsat-8 TM (Thematic Mapper) satellite, bands TM6, TM5, and TM4, orbit 219/75, obtained from the United States Geological Survey (USGS, 2017); images from Google Earth and maps provided by Ipanema Coffees were also used. A = 11.8 x (D x Q)0'56 x K x LS x C x P (1) where: A - represents soil losses (Mg); 11.8 and 0.56 - original MUSLE adjustment coefficients (dimensionless); D - runoff or surface runoff (mm); Qp - peak flow (m3 s-1); K - average erodibility of the basin soil (Mg h MJ-1 mm-1); LS - topographic factor (dimensionless); C - land use and management factor (dimensionless); P - conservation practices factor (dimensionless). LVd2 had the lowest erodibility values due to the high content of organic matter (X3), the lowest coarse sand content dispersed in water (X27), the highest clay content dispersed in water (X32) and the second highest value of the index of aggregate stability (X36).
ISSN:0554-5579
1800-9492
DOI:10.17707/AgricultForest.67.2.06