Spatial distribution of head smut (Sporisorium reilianum) of corn in Mexico

Knowledge about the spatial distribution of agricultural diseases is important for the elaboration of integrated pest management programs. Such knowledge allows the exact and adept development of sampling methods, control methods and risk valuation. Despite its importance, there have been few studies of the spatial distribution of head smut of corn in Mexico. This study aimed to determine the spatial distribution of this disease during the year 2007 in the State of México and to establish its spatial behavior with geostatistical techniques. Five points per plot were chosen for sampling. For each sampling point, 100 plants in a single row were counted, and the plants that presented symptoms of the disease were recorded. The geostatistical analysis used this data to estimate the experimental semivariogram, which was adjusted using theoretical models (spherical, exponential, Gaussian and logarithmic), in the Variowin 2.2 program. The semivariogram was verified by the geostatistical interpolation method or kriging through the cross validation, and cluster maps were subsequently made. The disease was present in 32 locations of 31 counties in Mexico State. All the locations presented a spatial behavior aggregated to the disease. Twenty-four locations were adjusted to the spherical model, seven locations were adjusted to the exponential model, and one location was fit to the Gaussian model. Lastly, it was possible to set aggregation maps in all models.

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Main Authors: Sánchez-Pale,Jesús Ricardo, Ramírez-Dávila,José Francisco, González-Huerta,Andrés, de León,Carlos
Format: Digital revista
Language:English
Published: Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2011
Online Access:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202011000200011
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spelling oai:scielo:S0718-162020110002000112011-09-01Spatial distribution of head smut (Sporisorium reilianum) of corn in MexicoSánchez-Pale,Jesús RicardoRamírez-Dávila,José FranciscoGonzález-Huerta,Andrésde León,Carlos Geostatistic Sphacelatheca reiliana Sporisorium reilianum Zea mays Knowledge about the spatial distribution of agricultural diseases is important for the elaboration of integrated pest management programs. Such knowledge allows the exact and adept development of sampling methods, control methods and risk valuation. Despite its importance, there have been few studies of the spatial distribution of head smut of corn in Mexico. This study aimed to determine the spatial distribution of this disease during the year 2007 in the State of México and to establish its spatial behavior with geostatistical techniques. Five points per plot were chosen for sampling. For each sampling point, 100 plants in a single row were counted, and the plants that presented symptoms of the disease were recorded. The geostatistical analysis used this data to estimate the experimental semivariogram, which was adjusted using theoretical models (spherical, exponential, Gaussian and logarithmic), in the Variowin 2.2 program. The semivariogram was verified by the geostatistical interpolation method or kriging through the cross validation, and cluster maps were subsequently made. The disease was present in 32 locations of 31 counties in Mexico State. All the locations presented a spatial behavior aggregated to the disease. Twenty-four locations were adjusted to the spherical model, seven locations were adjusted to the exponential model, and one location was fit to the Gaussian model. Lastly, it was possible to set aggregation maps in all models.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.38 n.2 20112011-08-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202011000200011en10.4067/S0718-16202011000200011
institution SCIELO
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country Chile
countrycode CL
component Revista
access En linea
databasecode rev-scielo-cl
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region America del Sur
libraryname SciELO
language English
format Digital
author Sánchez-Pale,Jesús Ricardo
Ramírez-Dávila,José Francisco
González-Huerta,Andrés
de León,Carlos
spellingShingle Sánchez-Pale,Jesús Ricardo
Ramírez-Dávila,José Francisco
González-Huerta,Andrés
de León,Carlos
Spatial distribution of head smut (Sporisorium reilianum) of corn in Mexico
author_facet Sánchez-Pale,Jesús Ricardo
Ramírez-Dávila,José Francisco
González-Huerta,Andrés
de León,Carlos
author_sort Sánchez-Pale,Jesús Ricardo
title Spatial distribution of head smut (Sporisorium reilianum) of corn in Mexico
title_short Spatial distribution of head smut (Sporisorium reilianum) of corn in Mexico
title_full Spatial distribution of head smut (Sporisorium reilianum) of corn in Mexico
title_fullStr Spatial distribution of head smut (Sporisorium reilianum) of corn in Mexico
title_full_unstemmed Spatial distribution of head smut (Sporisorium reilianum) of corn in Mexico
title_sort spatial distribution of head smut (sporisorium reilianum) of corn in mexico
description Knowledge about the spatial distribution of agricultural diseases is important for the elaboration of integrated pest management programs. Such knowledge allows the exact and adept development of sampling methods, control methods and risk valuation. Despite its importance, there have been few studies of the spatial distribution of head smut of corn in Mexico. This study aimed to determine the spatial distribution of this disease during the year 2007 in the State of México and to establish its spatial behavior with geostatistical techniques. Five points per plot were chosen for sampling. For each sampling point, 100 plants in a single row were counted, and the plants that presented symptoms of the disease were recorded. The geostatistical analysis used this data to estimate the experimental semivariogram, which was adjusted using theoretical models (spherical, exponential, Gaussian and logarithmic), in the Variowin 2.2 program. The semivariogram was verified by the geostatistical interpolation method or kriging through the cross validation, and cluster maps were subsequently made. The disease was present in 32 locations of 31 counties in Mexico State. All the locations presented a spatial behavior aggregated to the disease. Twenty-four locations were adjusted to the spherical model, seven locations were adjusted to the exponential model, and one location was fit to the Gaussian model. Lastly, it was possible to set aggregation maps in all models.
publisher Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate 2011
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202011000200011
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