Resumen

LORBES MEDINA, Javier; GARCIA ORELLANA, Yelitza; OHEP, Carlos  y  MILLA PINO, Manuel. Discrimination of types of irrigation water quality by chemical attributes using a multivariate technique. Rev. Mex. Cienc. Agríc [online]. 2014, vol.5, n.1, pp.29-36. ISSN 2007-0934.

In order to discriminate types of irrigation water quality according to their chemical attributes was considered an experiment where we evaluated the effect of three types of water quality on soil structure of depression Quibor, Lara state. The three types of waters covered by the research were: reservoir water Yacambú (YAC), water reservoir Dos Cerritos (DCE) and well water (WELL). 12 samples were taken from each of them were measured variables: electrical conductivity (EC) and the calcium (Ca), magnesium (Mg), sodium (Na), potassium (K), bicarbonate (HCO3), chlorides (Cl), sulfate (SO4) and pH. We used canonical discriminant analysis method with two multivariate techniques such as graphical charts and error hypothesis (HE) and canonical discriminant structure plot to evaluate the data. The results show significant differences between the three types of water and the most influential variables evaluated in discrimination were Mg, Cl, Ce, SO₄, Na and Ca graphs show techniques that can interpret the differences between the waters and relationships between variables and observations easily and simply offering a good alternative to analyze and interpret data.

Palabras llave : canonical discriminant analysis; graphical HE; canonical discriminant plot.

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