SciELO - Scientific Electronic Library Online

vol.10 número6Modelización espacial de Oligonychus perseae (Tuttle, Baker y Abbatiello) mediante técnicas geoestadísticasContaminación por aguas residuales e indicadores de calidad en la reserva nacional ‘Lago Junín’, Perú índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados




Links relacionados

  • No hay artículos similaresSimilares en SciELO


Revista mexicana de ciencias agrícolas

versión impresa ISSN 2007-0934


GONZALEZ HUERTA, Andrés et al. InfoStat, InfoGen and SAS for mutually orthogonal contrasts in randomized complete block experiments in subdivided plots. Rev. Mex. Cienc. Agríc [online]. 2019, vol.10, n.6, pp.1417-1431.  Epub 02-Oct-2020. ISSN 2007-0934.

The series of experiments (SE) in time and space in arrangements of divided plots have been used daily in various disciplines of science and technology, but for subdivided plots (PS) there is little information. With mutually orthogonal contrasts (CMO’s), the variability of means or total treatments in groups is divided into an analysis of variance in experiments of one or more factors. This study presents the programs to analyze data of the pod weight in green registered in fava beans in an SE in complete blocks at random in arrangement of PS to run in the System for Statistical Analysis, InfoStat or InfoGen, prepared by the author for correspondence. The procedures for determining how many and what the coefficients of each contrast are and how to calculate some CMO’s are indicated. A combined analysis of variance and CMO’s are presented for main factors and for their interactions, but the three statistical packages can generate the analyzes for each trial. With the platform that has been developed in the present study, it will be easier to obtain the decomposition of the effects of main factors and their interactions in an SE under PS based on the construction of an appropriate set of orthogonal polynomials or a combination between these and the CMO’s.

Palabras llave : Vicia faba L.; factorial experiments; fixed effects model; High Valleys of central Mexico.

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