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MULTIVARIATE ANALYSIS OF CHEMICAL AND PHYSICAL ATTRIBUTES OF QUARTZIPSAMMENTS UNDER DIFFERENT AGRICULTURAL USES
- Source :
- Engenharia Agrícola, Vol 39, Iss 4, Pp 457-465 (2019), Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice), Empresa Brasileira de Pesquisa Agropecuária (Embrapa), instacron:EMBRAPA, Engenharia Agrícola, Volume: 39, Issue: 4, Pages: 457-465, Published: 12 AUG 2019, Engenharia Agrícola v.39 n.4 2019, Engenharia Agrícola, Associação Brasileira de Engenharia Agrícola (SBEA), instacron:SBEA
- Publication Year :
- 2019
- Publisher :
- Sociedade Brasileira de Engenharia Agrícola, 2019.
-
Abstract
- The inadequate agricultural management in the semiarid region of northeastern Brazil, associated with the fragility of most soils, has caused degradation of the quality of this resource. This study aimed to evaluate the quality of Quartzipsamments under different uses through the multivariate analysis of chemical and physical attributes. Five areas were selected: four of them with agricultural use (onion, banana, cassava, and corn) and the other with Caatinga. Soil samples were collected at depths of 0.00?0.10, 0.10?0.20, and 0.20?0.40 m for chemical and physical analyses. The data were submitted to descriptive analysis and then to the multivariate analysis using the principal component analysis (PCA) technique and Ward?s clustering method. PCA and clustering techniques allowed the identification of different production systems in subsurface layers, suggesting the effect of fertility on the differentiation of areas with onion and banana, as well as the clustering of cassava and corn cultivations. Physical attributes and sodium content of the surface layer of the area with onion showed a tendency of compaction and salinization process of this environment. In general, fertility was the main responsible for the improvement of soil quality with agricultural use when compared to the Caatinga Made available in DSpace on 2019-08-16T00:36:43Z (GMT). No. of bitstreams: 1 Multivariateanalysis2019.pdf: 948287 bytes, checksum: 98b3a9b61ec2c4c3f174c9d009868fad (MD5) Previous issue date: 2019
- Subjects :
- Multivariate analysis
Soil salinity
Soil test
principal component
Agriculture (General)
Principal component analysis
S1-972
quality indicator
sandy soils
soil quality
Solo Arenoso
Cluster analysis
Qualidade do solo
Sandy soils
business.industry
Neossolos Quartzarênicos
food and beverages
Semiárido
04 agricultural and veterinary sciences
Agricultural and Biological Sciences (miscellaneous)
Soil quality
Solo
Agronomy
Agriculture
Soil water
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
Environmental science
Indicador de qualidade
business
Subjects
Details
- Language :
- English
- ISSN :
- 01006916
- Volume :
- 39
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Engenharia Agrícola
- Accession number :
- edsair.doi.dedup.....df2174472a233fba31ee687800a1c5b4