Quantification of the environmental effect on citrus canker intensity at increasing distances from a natural windbreak in northeastern Argentina

Citrus canker, caused by the bacterium Xanthomonas citri pv. citri (Xcc), is an endemic quarantine disease in northeastern Argentina. The objective of this study was to quantify the effect of weather variables on mid-season fruit canker intensity in an experimental grove of the “Red Blush” grapefruit cultivar in Bella Vista, Corrientes Province (Argentina), at two contrasting distances from a natural wind break (closer, wd=0; farther, wd=1). For the 1991–2010 growing seasons, disease observations were analyzed at both windbreak distances. The variable that best correlated with the disease levels (S: severe, M: moderate and L: light) at both windbreak distances was DPrecWsBl (days with recipita tion>12 mm and wind speed>2.6 km.h−1 ; Kendall Tau-b coefficient (rk)=0.71), different from the rk=0.60 obtained with DPrec (days with precipitation>12 mm). Daily wind speed values at both windbreak distances were estimated from wind speeds recorded at Bella Vista meteorological station after fitting linear regression equations. The best ordinal re sponse logistic regression models included DPrecWsBl and DT (days with temperatures in the interval 17–27 °C), and DPrec, DDMaxT (sum of the exceeding amounts of daily maximum temperature from 33ºC) and windbreak distance (wd) coded as strong (wd=0) and moderate (wd=1) wind protection (prediction accuracy=90 and 88.6 % respectively). Both models classified the nine observations with a severe canker intensity level correctly and their respective precipitation-driven predictors (DPrecWsBl and DPrec) achieved a highly satisfactory separation of two observed canker levels (S and M-L). The results may allow us to release canker risk warnings for scenarios with strong (wd=0) and moderate (wd=1) wind protection. These warnings may assist producers to make bactericide spray applications.

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Main Authors: Moschini, Ricardo, Canteros, Blanca Isabel, Martinez, Malvina Irene, De Ruyver, Roberto
Format: info:ar-repo/semantics/artículo biblioteca
Language:eng
Published: Springer 2014-07-15
Subjects:Windbreaks, Logit Analysis, Rompeviento, Análisis Logit, Citrus Canker, Weather Variables, Cancro de los Cítricos, Variables Meteorológicas,
Online Access:http://hdl.handle.net/20.500.12123/13266
https://link.springer.com/article/10.1007/s13313-014-0305-8
https://doi.org/10.1007/s13313-014-0305-8
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spelling oai:localhost:20.500.12123-132662022-10-31T10:44:38Z Quantification of the environmental effect on citrus canker intensity at increasing distances from a natural windbreak in northeastern Argentina Moschini, Ricardo Canteros, Blanca Isabel Martinez, Malvina Irene De Ruyver, Roberto Windbreaks Logit Analysis Rompeviento Análisis Logit Citrus Canker Weather Variables Cancro de los Cítricos Variables Meteorológicas Citrus canker, caused by the bacterium Xanthomonas citri pv. citri (Xcc), is an endemic quarantine disease in northeastern Argentina. The objective of this study was to quantify the effect of weather variables on mid-season fruit canker intensity in an experimental grove of the “Red Blush” grapefruit cultivar in Bella Vista, Corrientes Province (Argentina), at two contrasting distances from a natural wind break (closer, wd=0; farther, wd=1). For the 1991–2010 growing seasons, disease observations were analyzed at both windbreak distances. The variable that best correlated with the disease levels (S: severe, M: moderate and L: light) at both windbreak distances was DPrecWsBl (days with recipita tion>12 mm and wind speed>2.6 km.h−1 ; Kendall Tau-b coefficient (rk)=0.71), different from the rk=0.60 obtained with DPrec (days with precipitation>12 mm). Daily wind speed values at both windbreak distances were estimated from wind speeds recorded at Bella Vista meteorological station after fitting linear regression equations. The best ordinal re sponse logistic regression models included DPrecWsBl and DT (days with temperatures in the interval 17–27 °C), and DPrec, DDMaxT (sum of the exceeding amounts of daily maximum temperature from 33ºC) and windbreak distance (wd) coded as strong (wd=0) and moderate (wd=1) wind protection (prediction accuracy=90 and 88.6 % respectively). Both models classified the nine observations with a severe canker intensity level correctly and their respective precipitation-driven predictors (DPrecWsBl and DPrec) achieved a highly satisfactory separation of two observed canker levels (S and M-L). The results may allow us to release canker risk warnings for scenarios with strong (wd=0) and moderate (wd=1) wind protection. These warnings may assist producers to make bactericide spray applications. Fil: Moschini, Ricardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Canteros, B.I. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bella Vista; Argentina Fil: Martinez, Malvina Irene. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: De Ruyver, Roberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina 2022-10-31T10:37:38Z 2022-10-31T10:37:38Z 2014-07-15 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/13266 https://link.springer.com/article/10.1007/s13313-014-0305-8 0815-3191 1448-6032 https://doi.org/10.1007/s13313-014-0305-8 eng info:eu-repo/semantics/restrictedAccess application/pdf Springer Australasian Plant Pathology 43 (6) : 653-662 (2014)
institution INTA AR
collection DSpace
country Argentina
countrycode AR
component Bibliográfico
access En linea
databasecode dig-inta-ar
tag biblioteca
region America del Sur
libraryname Biblioteca Central del INTA Argentina
language eng
topic Windbreaks
Logit Analysis
Rompeviento
Análisis Logit
Citrus Canker
Weather Variables
Cancro de los Cítricos
Variables Meteorológicas
Windbreaks
Logit Analysis
Rompeviento
Análisis Logit
Citrus Canker
Weather Variables
Cancro de los Cítricos
Variables Meteorológicas
spellingShingle Windbreaks
Logit Analysis
Rompeviento
Análisis Logit
Citrus Canker
Weather Variables
Cancro de los Cítricos
Variables Meteorológicas
Windbreaks
Logit Analysis
Rompeviento
Análisis Logit
Citrus Canker
Weather Variables
Cancro de los Cítricos
Variables Meteorológicas
Moschini, Ricardo
Canteros, Blanca Isabel
Martinez, Malvina Irene
De Ruyver, Roberto
Quantification of the environmental effect on citrus canker intensity at increasing distances from a natural windbreak in northeastern Argentina
description Citrus canker, caused by the bacterium Xanthomonas citri pv. citri (Xcc), is an endemic quarantine disease in northeastern Argentina. The objective of this study was to quantify the effect of weather variables on mid-season fruit canker intensity in an experimental grove of the “Red Blush” grapefruit cultivar in Bella Vista, Corrientes Province (Argentina), at two contrasting distances from a natural wind break (closer, wd=0; farther, wd=1). For the 1991–2010 growing seasons, disease observations were analyzed at both windbreak distances. The variable that best correlated with the disease levels (S: severe, M: moderate and L: light) at both windbreak distances was DPrecWsBl (days with recipita tion>12 mm and wind speed>2.6 km.h−1 ; Kendall Tau-b coefficient (rk)=0.71), different from the rk=0.60 obtained with DPrec (days with precipitation>12 mm). Daily wind speed values at both windbreak distances were estimated from wind speeds recorded at Bella Vista meteorological station after fitting linear regression equations. The best ordinal re sponse logistic regression models included DPrecWsBl and DT (days with temperatures in the interval 17–27 °C), and DPrec, DDMaxT (sum of the exceeding amounts of daily maximum temperature from 33ºC) and windbreak distance (wd) coded as strong (wd=0) and moderate (wd=1) wind protection (prediction accuracy=90 and 88.6 % respectively). Both models classified the nine observations with a severe canker intensity level correctly and their respective precipitation-driven predictors (DPrecWsBl and DPrec) achieved a highly satisfactory separation of two observed canker levels (S and M-L). The results may allow us to release canker risk warnings for scenarios with strong (wd=0) and moderate (wd=1) wind protection. These warnings may assist producers to make bactericide spray applications.
format info:ar-repo/semantics/artículo
topic_facet Windbreaks
Logit Analysis
Rompeviento
Análisis Logit
Citrus Canker
Weather Variables
Cancro de los Cítricos
Variables Meteorológicas
author Moschini, Ricardo
Canteros, Blanca Isabel
Martinez, Malvina Irene
De Ruyver, Roberto
author_facet Moschini, Ricardo
Canteros, Blanca Isabel
Martinez, Malvina Irene
De Ruyver, Roberto
author_sort Moschini, Ricardo
title Quantification of the environmental effect on citrus canker intensity at increasing distances from a natural windbreak in northeastern Argentina
title_short Quantification of the environmental effect on citrus canker intensity at increasing distances from a natural windbreak in northeastern Argentina
title_full Quantification of the environmental effect on citrus canker intensity at increasing distances from a natural windbreak in northeastern Argentina
title_fullStr Quantification of the environmental effect on citrus canker intensity at increasing distances from a natural windbreak in northeastern Argentina
title_full_unstemmed Quantification of the environmental effect on citrus canker intensity at increasing distances from a natural windbreak in northeastern Argentina
title_sort quantification of the environmental effect on citrus canker intensity at increasing distances from a natural windbreak in northeastern argentina
publisher Springer
publishDate 2014-07-15
url http://hdl.handle.net/20.500.12123/13266
https://link.springer.com/article/10.1007/s13313-014-0305-8
https://doi.org/10.1007/s13313-014-0305-8
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