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Land use and vegetation cover on native symbionts and interactions with cowpea AGRIAMBI
Rocha,Beatriz C. F.; Santos,Enésia O. da S.; Santos,José G. D.; Takako,Adriana K.; Castro,Fabio J..
ABSTRACT Arbuscular mycorrhizal fungi and rhizobia are important components of agroecosystems and they respond to human interference. The objective of this study was to investigate native communities of those microorganisms in soil collected under the native forest, four pastures (Brachiaria brizantha, Panicum maximum, Arachis pintoi and Stylosanthes guianensis) and a fallow soil after maize cultivation, in interaction with cowpea (Vigna unguculata). The cowpea grew in a greenhouse until flowering. They were randomly distributed depending on soil, in five replications. The lowest mycorrhizal fungi sporulation and mycorrhizal root colonization occurred under the Panicum and forest soil. In the soils under forest and Stylosanthes, the cowpea did not exhibit...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Arbuscular mycorrhiza; Rhizobia; Legal Amazon; Nodulation.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000200116
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Multivariate Analysis and Machine Learning in Properties of Ultisols (Argissolos) of Brazilian Amazon Rev. Bras. Ciênc. Solo
Souza,Cristiano Marcelo Pereira de; Thomazini,André; Schaefer,Carlos Ernesto Gonçalves Reynaud; Veloso,Gustavo Vieira; Moreira,Guilherme Musse; Fernandes Filho,Elpídio Inácio.
ABSTRACT: Ultisols are the most common soil order in the Brazilian Amazon. The Legal Amazon (LA) has an area of 5 × 106 km2, with few accessible areas, which restricts studies of soils at a detailed level. The pedological properties can be estimated more efficiently using statistical procedures and machine learning techniques, tools which are capable of recognizing patterns in a large soil database. We analyzed the main chemical and physical properties of the B horizons of the Ultisols of the Brazilian Amazon, as well as the spatial variability of the most explanatory properties of these horizons. Physical and chemical data of 1,068 profiles of the RadamBrasil Project were used. A principal component analysis (PCA) was applied and the most explanatory...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Legal Amazon; Principal component analysis; Morphostructural domains; Climatic zones.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100317
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