Spatial pattern of mottled stripe disease (Herbaspirillum rubrisubalbicans) in sugar cane
Sugar cane (Saccharum spp. hybrids) is the most important agroindustrial crop of the tropics. Recently, sugar cane plants with chlorotic leaf streaking associated with the bacterium Herbaspirillum rubrisubalbicans have been observed. This disease impacts photosynthetic capacity and yield. Character...
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Autores principales: | , , , , , |
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Formato: | Online |
Lenguaje: | eng |
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Facultad de Ciencias Agrarias-UNCuyo
2022
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Acceso en línea: | https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5238 |
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I11-R107article-5238 |
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Revistas en línea |
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Revistas en línea |
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Revista de la Facultad de Ciencias Agrarias |
journal_title_str |
Revista de la Facultad de Ciencias Agrarias |
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I-11 |
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R-107 |
language |
eng |
format |
Online |
author |
Sánchez-Pale, Jesús Ricardo Quiñones-Valdez, Rosalba Silva-Rojas, Hilda Victoria Castañeda-Vildozola, Alvaro Franco-Mora, Omar Valdez-Balero, Apolonio |
spellingShingle |
Sánchez-Pale, Jesús Ricardo Quiñones-Valdez, Rosalba Silva-Rojas, Hilda Victoria Castañeda-Vildozola, Alvaro Franco-Mora, Omar Valdez-Balero, Apolonio Spatial pattern of mottled stripe disease (Herbaspirillum rubrisubalbicans) in sugar cane Bacteria, Incidencia, Distribución espacio-temporal, Saccharum spp. Bacteria, Incidence, Spatio-temporal distribution, Saccharum spp. |
author_facet |
Sánchez-Pale, Jesús Ricardo Quiñones-Valdez, Rosalba Silva-Rojas, Hilda Victoria Castañeda-Vildozola, Alvaro Franco-Mora, Omar Valdez-Balero, Apolonio |
author_sort |
Sánchez-Pale, Jesús Ricardo |
title |
Spatial pattern of mottled stripe disease (Herbaspirillum rubrisubalbicans) in sugar cane |
title_short |
Spatial pattern of mottled stripe disease (Herbaspirillum rubrisubalbicans) in sugar cane |
title_full |
Spatial pattern of mottled stripe disease (Herbaspirillum rubrisubalbicans) in sugar cane |
title_fullStr |
Spatial pattern of mottled stripe disease (Herbaspirillum rubrisubalbicans) in sugar cane |
title_full_unstemmed |
Spatial pattern of mottled stripe disease (Herbaspirillum rubrisubalbicans) in sugar cane |
title_sort |
spatial pattern of mottled stripe disease (herbaspirillum rubrisubalbicans) in sugar cane |
description |
Sugar cane (Saccharum spp. hybrids) is the most important agroindustrial crop of the tropics. Recently, sugar cane plants with chlorotic leaf streaking associated with the bacterium Herbaspirillum rubrisubalbicans have been observed. This disease impacts photosynthetic capacity and yield. Characterizing the spatio-temporal behavior of chlorotic mottling using prediction maps is an important element of integrated disease management. Here, we determine the spatial distribution of mottled stripe disease in sugar cane in southeastern Mexico. To do this, we randomly chose and georeferenced 80 points in commercial plots in 2016 and 2017 to determine the disease incidence. We generated an experimental semivariogram based on a predetermined theoretical model and estimated Kriging. The incidence was 2.93% in 2016 and 5.36% in 2017 in varieties ICP-MEX-92-1420, CP-72-2086, ITV-92-373, MEX-79434 and MEX-69-290. The spatial behavior of the bacteria fit the pentaspherical model in 2016 and the spherical model in 2017. Spatial interpolation was validated by Mean Error (ME), Root Mean Square Error (RMSE) and Mean Standardized Prediction Error (MSPE) values near zero, visualized using the generated map. The results will be used to guide management of mottled stripe disease in sugar cane in the affected area.
Highlights
H. rubrisubalbicans can persist from sugar cane growing season to the next and spread from one plot to another by different mechanisms.
The chlorotic mottling of sugar cane showed an aggregate type spatial behavior at the regional level.
The differences in spatial patterns between seasons show the dispersion potential of the disease in this crop system, as well as a latent infestation in the area.
The semivariograms and maps show aggregate behavior of this disease, expressed as different spatial patterns given by the spatial dependence among points and the severity of the effects in each plot.
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publisher |
Facultad de Ciencias Agrarias-UNCuyo |
publishDate |
2022 |
url |
https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5238 |
topic |
Bacteria, Incidencia, Distribución espacio-temporal, Saccharum spp. Bacteria, Incidence, Spatio-temporal distribution, Saccharum spp. |
topic_facet |
Bacteria, Incidencia, Distribución espacio-temporal, Saccharum spp. Bacteria, Incidence, Spatio-temporal distribution, Saccharum spp. |
work_keys_str_mv |
AT sanchezpalejesusricardo spatialpatternofmottledstripediseaseherbaspirillumrubrisubalbicansinsugarcane AT quinonesvaldezrosalba spatialpatternofmottledstripediseaseherbaspirillumrubrisubalbicansinsugarcane AT silvarojashildavictoria spatialpatternofmottledstripediseaseherbaspirillumrubrisubalbicansinsugarcane AT castanedavildozolaalvaro spatialpatternofmottledstripediseaseherbaspirillumrubrisubalbicansinsugarcane AT francomoraomar spatialpatternofmottledstripediseaseherbaspirillumrubrisubalbicansinsugarcane AT valdezbaleroapolonio spatialpatternofmottledstripediseaseherbaspirillumrubrisubalbicansinsugarcane |
_version_ |
1800220933657460736 |
spelling |
I11-R107article-52382022-12-19T18:28:01Z Spatial pattern of mottled stripe disease (Herbaspirillum rubrisubalbicans) in sugar cane Spatial pattern of mottled stripe disease (Herbaspirillum rubrisubalbicans) in sugar cane Sánchez-Pale, Jesús Ricardo Quiñones-Valdez, Rosalba Silva-Rojas, Hilda Victoria Castañeda-Vildozola, Alvaro Franco-Mora, Omar Valdez-Balero, Apolonio Bacteria, Incidencia, Distribución espacio-temporal, Saccharum spp. Bacteria, Incidence, Spatio-temporal distribution, Saccharum spp. Sugar cane (Saccharum spp. hybrids) is the most important agroindustrial crop of the tropics. Recently, sugar cane plants with chlorotic leaf streaking associated with the bacterium Herbaspirillum rubrisubalbicans have been observed. This disease impacts photosynthetic capacity and yield. Characterizing the spatio-temporal behavior of chlorotic mottling using prediction maps is an important element of integrated disease management. Here, we determine the spatial distribution of mottled stripe disease in sugar cane in southeastern Mexico. To do this, we randomly chose and georeferenced 80 points in commercial plots in 2016 and 2017 to determine the disease incidence. We generated an experimental semivariogram based on a predetermined theoretical model and estimated Kriging. The incidence was 2.93% in 2016 and 5.36% in 2017 in varieties ICP-MEX-92-1420, CP-72-2086, ITV-92-373, MEX-79434 and MEX-69-290. The spatial behavior of the bacteria fit the pentaspherical model in 2016 and the spherical model in 2017. Spatial interpolation was validated by Mean Error (ME), Root Mean Square Error (RMSE) and Mean Standardized Prediction Error (MSPE) values near zero, visualized using the generated map. The results will be used to guide management of mottled stripe disease in sugar cane in the affected area. Highlights H. rubrisubalbicans can persist from sugar cane growing season to the next and spread from one plot to another by different mechanisms. The chlorotic mottling of sugar cane showed an aggregate type spatial behavior at the regional level. The differences in spatial patterns between seasons show the dispersion potential of the disease in this crop system, as well as a latent infestation in the area. The semivariograms and maps show aggregate behavior of this disease, expressed as different spatial patterns given by the spatial dependence among points and the severity of the effects in each plot. Sugar cane (Saccharum spp. hybrids) is the most important agroindustrial crop of the tropics. Recently, sugar cane plants with chlorotic leaf streaking associated with the bacterium Herbaspirillum rubrisubalbicans have been observed. This disease impacts photosynthetic capacity and yield. Characterizing the spatio-temporal behavior of chlorotic mottling using prediction maps is an important element of integrated disease management. Here, we determine the spatial distribution of mottled stripe disease in sugar cane in southeastern Mexico. To do this, we randomly chose and georeferenced 80 points in commercial plots in 2016 and 2017 to determine the disease incidence. We generated an experimental semivariogram based on a predetermined theoretical model and estimated Kriging. The incidence was 2.93% in 2016 and 5.36% in 2017 in varieties ICP-MEX-92-1420, CP-72-2086, ITV-92-373, MEX-79434 and MEX-69-290. The spatial behavior of the bacteria fit the pentaspherical model in 2016 and the spherical model in 2017. Spatial interpolation was validated by Mean Error (ME), Root Mean Square Error (RMSE) and Mean Standardized Prediction Error (MSPE) values near zero, visualized using the generated map. The results will be used to guide management of mottled stripe disease in sugar cane in the affected area. Highlights H. rubrisubalbicans can persist from sugar cane growing season to the next and spread from one plot to another by different mechanisms. The chlorotic mottling of sugar cane showed an aggregate type spatial behavior at the regional level. The differences in spatial patterns between seasons show the dispersion potential of the disease in this crop system, as well as a latent infestation in the area. The semivariograms and maps show aggregate behavior of this disease, expressed as different spatial patterns given by the spatial dependence among points and the severity of the effects in each plot. Facultad de Ciencias Agrarias-UNCuyo 2022-12-19 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5238 10.48162/rev.39.089 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 54 No. 2 (2022): July-December; 126-134 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 54 Núm. 2 (2022): Julio-Diciembre; 126-134 1853-8665 0370-4661 eng https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5238/5298 Derechos de autor 2022 Revista de la Facultad de Ciencias Agrarias UNCuyo https://creativecommons.org/licenses/by-nc-sa/3.0/deed.es |