SciELO - Scientific Electronic Library Online

 
vol.33 número2DELIMITACIÓN DE AMBIENTES EDÁFICOS EN SUELOS DE LA PAMPA DEPRIMIDA MEDIANTE LA CONDUCTIVIDAD ELÉCTRICA APARENTE Y LA ELEVACIÓNUTILIZACIÓN DE CULTIVOS DE COBERTURA EN MONOCULTIVO DE SOJA: EFECTOS SOBRE EL BALANCE HÍDRICO Y ORGÁNICO índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

  • No hay articulos citadosCitado por SciELO

Links relacionados

  • No hay articulos similaresSimilares en SciELO

Compartir


Ciencia del suelo

versión On-line ISSN 1850-2067

Resumen

ROJAS, JULIETA MARIANA; ROLDAN, MARÍA FLORENCIA  y  GUEVARA, GRACIELA SUSANA. INFLUENCIA DE ROTACIONES EN LA CALIDAD DEL SUELO EN LA ZONA CENTRAL DEL CHACO Y SU RELACIÓN CON LA PRODUCCIÓN DE ALGODÓN. Cienc. suelo [online]. 2015, vol.33, n.2. ISSN 1850-2067.

Crop rotation has been widely recommended to improve soil quality (SQ). The objective of this study was to analyze the influence of a 5- year cycle of rotation on SQ evaluating in an integrated way through multivariate analysis the parameters pH, electrical conductivity (EC), total organic carbon (TOC), particulate organic carbon (POC), organic carbon associated to the mineral fraction (AOC), total nitrogen (Nt), phosphorus (P) and bulk density (Bd); and to evaluate test crop (cotton) yields in relationship to the set of parameters. It was hypothesized that: a) rotation influence SQ evaluated through a set of parameters and b) cotton yields as test crop can be associated with one or more indicators of SQ. Composite samples at 0-10 and 10-20 cm in experimental plots of the EEA INTA Sáenz Peña (Chaco, Argentina) were taken. Three rotations were analyzed: maximum coverage (greater presence of grasses and crops per year), continuous cotton (almost monoculture) and minimum coverage, by principal component analysis (PCA), for each depth. Soil parameters were considered as active variables and cotton yield as a supplementary variable. The parameters that defined the main differences were P, EC and POC, multivariate analysis was a useful tool to select them. Cotton yields were more closely associated with TOC, AOC and POC. The rotation with greater coverage, and the presence and frequency of grasses differed from others because of their EC values and P content on the surface and POC in the subsurface. A major contribution of residues by this rotation could have influenced POC and EC; the highest P extraction by corn and soybeans caused lower levels of this element.

Palabras clave : Soil quality, Principal component analysis, Particulate organic carbon, Cotton.

        · resumen en Español     · texto en Español     · Español ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons