The Phytosociology of Weeds in Agroforestry Systems in Different Types of Amazonian Forest Cover

Silva, Evaldo Morais da and Andrade, Lucélia Martins de and Leite, Jakson and Santos, Antonio Carlos Martins dos and Gonçalves, Marcos Augusto de Souza and Lopes, Elessandra Laura Nogueira and Terra, Thiago Gledson Rios and Souza, Clovis Maurilio de and Santos, Elonha Rodrigues dos and Redig, Meirevalda do Socorro Ferreira and Vasconcelos, Omar Machado de and Cunha, Antonio Marcos Quadros and Parreira, Mariana Casari and Martins, Jefferson dos Santos (2022) The Phytosociology of Weeds in Agroforestry Systems in Different Types of Amazonian Forest Cover. European Journal of Medicinal Plants, 33 (10). pp. 33-44. ISSN 2231-0894

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Abstract

Agroforestry systems are examples of soil exploration that is closer to the natural form of the forest, with intercropping of several species within an area, thus being sustainable alternatives. Therefore, the objective of this work was to evaluate the weed community in agroforestry systems in two ecosystems: solid ground and floodplain in the state of Pará. Such collections were made in eight areas, with about one hectare each, cultivated in agroforestry systems, four of which are on dry land and four on floodplains, in the rural area of Cametá-PA. Four plots of one square meter per area were randomly sampled, where the species were identified, counted, and taken to weigh to evaluate the weed community. Among the evaluated environments, the species that stood out the most in the solid ground environment was Kyllinga brevifolia, leading most of the evaluated indices. In the lowland ecosystem, the Brachiaria species purpuracens were the most relevant.

Item Type: Article
Uncontrolled Keywords: Weed community; agroecosystems; sustainable agriculture; brachiaria purpuracens; Kyllinga brevifolia
Subjects: SCI Archives > Medical Science
Depositing User: Managing Editor
Date Deposited: 03 Nov 2022 11:37
Last Modified: 27 Sep 2024 05:10
URI: http://science.classicopenlibrary.com/id/eprint/48

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