diagnosis of environmental degraded pastures in areas of municipal gurupi-to

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ID: 253131
2016
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Ranked #125 of 149 articles by views in lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics)

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Abstract
Environmental degradation in grassland areas is a major constraint for the performance of ranching, which dominates the extensive grazing system on pasture. Therefore, this study aimed to carry out environmental assessment of pasture degradation areas in the municipality of Gurupi-TO. An environmental diagnosis was conducted in four properties: farm “Morada do Boi III”, farm “Jatobá”, and farm “Nova Esperança”. The environmental degradation was evaluated according to the following methods: (a) Interview structured in a questionnaire in order to survey: formation, degradation, rehabilitation and maintenance of pastures; (B) Soil sample collecting, 0-20 cm; and (c) Visual assessment of the environmental degradation level. With regard to the third method, five different parameters such as: Strength and Quality of pasture, Plant population, Weeds, Ground cover, and Erosion were utilized in this evaluation. According to this, individual keys were set up for each parameter, keys that range from 1 to four 4, in which 1 was <25%, 2 was from 26% to 50%, 3 was from 51% to 75% and 4 was >75%. It was observed that the four properties are in degradation, but each at a different level. It was found moderate to very strong degradation, as is the case of farm “Jatobá”. It was observed, in all properties, that the soil fertility in decline is related to pasture degradation. Thus, environmental recovery strategies in the four properties are required. Keywords: soil fertility; degradation of pastures; Brachiaria brizantha.
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freitas2016biotadiagnosis Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Gilson Araújo de Freitas;Bianca Pietsch Cunha Bendito;Antônio Carlos Martins dos Santos;Patrícia Aparecida de Sousa
Journal lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics)
Year 2016
DOI
10.18561/2179-5746/biotaamazonia.v6n1p10-15
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