Soil chemical quality in agricultural land uses in the semiarid of Bahia
| Autor: | Janielle Souza Pereira, Alessandra Monteiro Salviano, Sálvio Napoleão Soares Arcoverde, Stefeson Bezerra de Melo, Vanderlise Giongo, Nelci Olszevski, Tony Jarbas Ferreira Cunha |
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| Přispěvatelé: | ALESSANDRA MONTEIRO SALVIANO, CPATSA, Nelci Olszevski, UNIVASF, Sálvio Napoleão Soares Arcoverde, UFGD. Faculdade de Ciências Agrárias (FCA)., Stefeson Bezerra de Melo, UFGD, VANDERLISE GIONGO, CPATSA, TONY JARBAS FERREIRA CUNHA, CPATSA, Janielle Souza Pereira, UFERSA. |
| Jazyk: | portugalština |
| Rok vydání: | 2018 |
| Předmět: |
Soil management
Soil science lcsh:Agriculture Agricultural land Organic matter Elemento Químico análise multivariada atributos químicos manejo do solo Solo Arenoso chemistry.chemical_classification Atributo químico Sandy soils business.industry lcsh:S General Medicine Soil quality Exchangeable sodium Chemical quality chemistry Multivariate analysis Agriculture Soil water Manejo do Solo Environmental science Multivariate statistical business Lago de Sobradinho |
| Zdroj: | Agrarian, Vol 11, Iss 42, Pp 328-336 (2018) CIÊNCIAVITAE Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice) Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
| ISSN: | 1984-2538 |
| Popis: | stract: The aim of this work is to define indices of soil chemical quality in intense agricultural activity area surrounding Sobradinho Lake, State of Bahia, Brazil, by means of multivariate statistical techniques. Based on the factor scores, it was determined soil chemical quality index for depths of 0-0.10, 0.10-0.20 and 0.20-0.40 m, respectively, classifying soils as good, fair and poor, according to the performance of its attributes. Then realized the Discriminative Analysis in order to validate the results obtained and, knowing the chemical soil attributes that influence and are associated with soil quality in agriculture of the region. In this way, among the main results could be observed that the attributes exchangeable sodium percentage (ESP) and organic matter (OM) stood out as indicators of soil quality. The ESP was the more important attribute in discrimination models in the depths of 0.00-0.10 and 0.10-0.20 m and OM in the 0.20-0.40 m layer. These variables are the main responsible for discrimination and classification of soil groups. In general, the chemical quality of soils is not considered ideal mainly due to the low contents OM and the extremely sandy texture, denoting environmental fragility. Made available in DSpace on 2018-12-05T23:51:40Z (GMT). No. of bitstreams: 1 artigosalvio2018agrarian.pdf: 594713 bytes, checksum: 622c444685c46d2d91fa95f8dc7298c2 (MD5) Previous issue date: 2018-12-05 |
| Databáze: | OpenAIRE |
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