Improved method for assessing incidence of <em>Citrus tristeza</em> virus in large scale monitoring
Citrus tristeza virus (CTV) induces typical quick decline when citrus trees are grafted onto the sour orange. The virus is efficiently vectored by different aphid species. Large scale CTV monitoring and eradication requires a precise sampling and testing method for assessing virus incidence. The sa...
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doaj-a061f8d43da64bdba55f35ac5c82590a2020-11-25T03:25:17ZengFirenze University PressPhytopathologia Mediterranea0031-94651593-20952015-04-0154110.14601/Phytopathol_Mediterr-1450313505Improved method for assessing incidence of <em>Citrus tristeza</em> virus in large scale monitoringAnna Maria D'ONGHIA0Franco SANTORO1Yaseen ALNAASAN2Stefania GUALANO3Franco VALENTINI4Khaled DIELOUAH5Benedetto FIGORITOCIHEAM/Mediterranean Agronomic Institute of BariCIHEAM/Mediterranean Agronomic Institute of BariCIHEAM/Mediterranean Agronomic Institute of BariCIHEAM/Mediterranean Agronomic Institute of BariARPA - Agenzia Regionale per la Protezione dell’AmCIHEAM/Mediterranean Agronomic Institute of BariCIHEAM/Mediterranean Agronomic Institute of Bari Citrus tristeza virus (CTV) induces typical quick decline when citrus trees are grafted onto the sour orange. The virus is efficiently vectored by different aphid species. Large scale CTV monitoring and eradication requires a precise sampling and testing method for assessing virus incidence. The sampling procedure described by Hughes and Gottwald (1998) was adapted in the official monitoring for the mandatory control of CTV in the Apulia Region of Southern Italy. However, instead of the hierarchical sampling (HS) of grouped samples tested by Enzyme Linked Immunosorbent Assay (ELISA), a systematic sampling of individual trees tested by Direct Tissue Blot Immunoassay (DTBIA) was applied by the Mediterranean Agronomic Institute of Bari (MIAB-S). In this study, the actual CTV incidence assessed in the eight citrus commercial groves by DTBIA was used for evaluating the efficacy and precision of MAIB-S and HS methods. The simulation of different sampling scenarios using advanced spatial (automatic tree extraction) and statistical (Standard Error, Root Mean Square Error) analyses showed that in all groves the infection rates were always underestimated using the HS method, while most infection rates were overestimated and closer to the actual CTV incidence when the MAIB-S method was performed. For the MAIB-S method, no effect of high temperature in the detection of virus incidence occurred during July monitoring. Unlike MAIB-S, noticeable reduction in the precision of CTV incidence estimation was observed with HS. https://oajournals.fupress.net/index.php/pm/article/view/5601samplingDTBIADAS-ELISAautomatic tree extractionstandard error |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Anna Maria D'ONGHIA Franco SANTORO Yaseen ALNAASAN Stefania GUALANO Franco VALENTINI Khaled DIELOUAH Benedetto FIGORITO |
spellingShingle |
Anna Maria D'ONGHIA Franco SANTORO Yaseen ALNAASAN Stefania GUALANO Franco VALENTINI Khaled DIELOUAH Benedetto FIGORITO Improved method for assessing incidence of <em>Citrus tristeza</em> virus in large scale monitoring Phytopathologia Mediterranea sampling DTBIA DAS-ELISA automatic tree extraction standard error |
author_facet |
Anna Maria D'ONGHIA Franco SANTORO Yaseen ALNAASAN Stefania GUALANO Franco VALENTINI Khaled DIELOUAH Benedetto FIGORITO |
author_sort |
Anna Maria D'ONGHIA |
title |
Improved method for assessing incidence of <em>Citrus tristeza</em> virus in large scale monitoring |
title_short |
Improved method for assessing incidence of <em>Citrus tristeza</em> virus in large scale monitoring |
title_full |
Improved method for assessing incidence of <em>Citrus tristeza</em> virus in large scale monitoring |
title_fullStr |
Improved method for assessing incidence of <em>Citrus tristeza</em> virus in large scale monitoring |
title_full_unstemmed |
Improved method for assessing incidence of <em>Citrus tristeza</em> virus in large scale monitoring |
title_sort |
improved method for assessing incidence of <em>citrus tristeza</em> virus in large scale monitoring |
publisher |
Firenze University Press |
series |
Phytopathologia Mediterranea |
issn |
0031-9465 1593-2095 |
publishDate |
2015-04-01 |
description |
Citrus tristeza virus (CTV) induces typical quick decline when citrus trees are grafted onto the sour orange. The virus is efficiently vectored by different aphid species. Large scale CTV monitoring and eradication requires a precise sampling and testing method for assessing virus incidence. The sampling procedure described by Hughes and Gottwald (1998) was adapted in the official monitoring for the mandatory control of CTV in the Apulia Region of Southern Italy. However, instead of the hierarchical sampling (HS) of grouped samples tested by Enzyme Linked Immunosorbent Assay (ELISA), a systematic sampling of individual trees tested by Direct Tissue Blot Immunoassay (DTBIA) was applied by the Mediterranean Agronomic Institute of Bari (MIAB-S). In this study, the actual CTV incidence assessed in the eight citrus commercial groves by DTBIA was used for evaluating the efficacy and precision of MAIB-S and HS methods. The simulation of different sampling scenarios using advanced spatial (automatic tree extraction) and statistical (Standard Error, Root Mean Square Error) analyses showed that in all groves the infection rates were always underestimated using the HS method, while most infection rates were overestimated and closer to the actual CTV incidence when the MAIB-S method was performed. For the MAIB-S method, no effect of high temperature in the detection of virus incidence occurred during July monitoring. Unlike MAIB-S, noticeable reduction in the precision of CTV incidence estimation was observed with HS.
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topic |
sampling DTBIA DAS-ELISA automatic tree extraction standard error |
url |
https://oajournals.fupress.net/index.php/pm/article/view/5601 |
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