Selection of Indicators to Discriminate Soil Tillage Systems and to Assess Soil Quality in a Red Latosol
Braz. arch. biol. technol
;
63(spe): e20190489, 2020. tab, graf
Artículo
en Inglés
| LILACS
| ID: biblio-1142502
ABSTRACT
Abstract The soil tillage practiced over a long period of time impacts soil quality. The first step in soil quality assessment is to select which indicators should be used. The objective of this study was to identify the soil attributes that discriminate soil tillage systems and can be used as indicators for soil quality assessments. Sixteen soil physical and chemical attributes were evaluated macroporosity (MaP), microporosity (MiP), total porosity (TP), bulk density (BD), field-saturated hydraulic conductivity (Kfs), soil resistance to penetration (SRP), pH (H2O), pH (CaCl2), aluminium (Al), calcium (Ca), magnesium (Mg), potassium (K), available phosphorus (P), total organic carbon (TOC), cation exchange capacity (CEC) and base saturation (BS), of a very clayey Red Latosol, cultivated for a long period in no-till (NT), conventional tillage (CT) and minimum tillage (MT). The soil attributes (indicators) were selected using canonical discriminant analysis. MiP, Kfs, pH (CaCl2), Ca, Mg, CEC e BS were the most efficient indicators to discriminate soil tillage systems. In the indicator interpretation step was sustained MiP as the indicator that represents the function of physical stability and support, Kfs as the indicator that represents the function of water relations, BS as the indicator that represents the function of nutrient cycling and pH (CaCl2) as the indicator that represents the function of filtering and buffering. These indicators can be used for future soil quality assessment and monitoring of tillage systems in similar regions and conditions.
Texto completo:
Disponible
Índice:
LILACS (Américas)
Asunto principal:
Calidad del Suelo
/
Características del Suelo
/
Indicadores (Estadística)
Tipo de estudio:
Estudio pronóstico
Idioma:
Inglés
Revista:
Braz. arch. biol. technol
Asunto de la revista:
Biologia
Año:
2020
Tipo del documento:
Artículo
País de afiliación:
Brasil
Institución/País de afiliación:
Agronomic Institute of Paraná/BR
/
State University of Ponta Grossa/BR
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