OrangerV1, PascalFrancis, Curation, bibRecord, 000498

Spatial pattern of trees affected by black spot in citrus groves in Brazil

Identifieur interne : 000498 ( PascalFrancis/Curation ); précédent : 000497; suivant : 000499

Spatial pattern of trees affected by black spot in citrus groves in Brazil

Auteurs : M. B. Sposito [Brésil] ; L. Amorim [Brésil] ; P. J. Jr Ribeiro [Brésil] ; R. B. Bassanezi [Brésil] ; E. T. Krainski [Brésil]

Source :

Plant disease [ 0191-2917 ] ; 2007.

RBID : Pascal:07-0134167

Descripteurs français

Pascal (Inist)
- Citrus sinensis, Guignardia citricarpa, Phyllosticta, Brésil, Incidence, Epidémiologie, Analyse statistique, Agrégation, Microbiologie, Phytopathologie, Phytopathogène, Plante.
Wicri :
- geographic : Brésil.

English descriptors

KwdEn :
- Aggregation, Brazil, Citrus sinensis, Epidemiology, Guignardia citricarpa, Incidence, Microbiology, Phyllosticta, Plant, Plant pathogen, Plant pathology, Statistical analysis.

Abstract

Citrus black spot (CBS), caused by Guignardia citricarpa, is the most important fungal disease of orange trees in Brazil. The spatial pattern of CBS-symptomatic trees was evaluated using the binomial dispersion index (D), Ripley's K function (K), and a Monte Carlo test for minimum mean distance (d) to understand the distribution of the pathogen. Disease was monitored in 7,790 citrus trees from four commercial groves. In one grove, disease incidence was assessed from 1999 to 2001 and, in the others, disease assessments were conducted only in 2002. Infected trees were aggregated based on the three statistical analyses used (D, K, and d) regardless of the CBS incidence. The binomial index of dispersion (D) indicated aggregation of CBS-affected trees for all groves and for various quadrat sizes (2 by 2, 3 by 3, 4 by 4... up to 10 by 10). According to Ripley's K function, the dependence among symptomatic trees comprised two to three neighboring trees. Disease dispersion occurred at distances below 24.7 m according to the test for d. This suggests that the dispersion of inoculum is highly important over short distances. As a consequence, the required sample size to achieve a level of accuracy of C = 20% increases exponentially with the decrease in incidence of CBS below 15% infected plants.

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A11	`01`	`1`		`@1 SPOSITO (M. B.)`
A11	`02`	`1`		`@1 AMORIM (L.)`
A11	`03`	`1`		`@1 RIBEIRO (P. J. JR)`
A11	`04`	`1`		`@1 BASSANEZI (R. B.)`
A11	`05`	`1`		`@1 KRAINSKI (E. T.)`
A14	`01`			`@1 Departamento Científico, Fundecitrus, C.P. 391 @2 14801-970, Araraquara, SP @3 BRA @Z 1 aut.`
A14	`02`			`@1 Departamento de Entomologia, Fitopatologia e Zoologia Agrícola, ESALQ-USP, C.P. 9 @2 13418-900, Piracicaba, SP @3 BRA @Z 2 aut.`
A14	`03`			`@1 Departamento de Estatística, UFPR, C.P. 19.081, 81 @2 531-990, Curitiba, PR @3 BRA @Z 3 aut. @Z 5 aut.`
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A21				`@1 2007`
A23	`01`			`@0 ENG`
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A44				`@0 0000 @1 © 2007 INIST-CNRS. All rights reserved.`
A45				`@0 28 ref.`
A47	`01`	`1`		`@0 07-0134167`
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C01	`01`		`ENG`	@0 Citrus black spot (CBS), caused by Guignardia citricarpa, is the most important fungal disease of orange trees in Brazil. The spatial pattern of CBS-symptomatic trees was evaluated using the binomial dispersion index (D), Ripley's K function (K), and a Monte Carlo test for minimum mean distance (d) to understand the distribution of the pathogen. Disease was monitored in 7,790 citrus trees from four commercial groves. In one grove, disease incidence was assessed from 1999 to 2001 and, in the others, disease assessments were conducted only in 2002. Infected trees were aggregated based on the three statistical analyses used (D, K, and d) regardless of the CBS incidence. The binomial index of dispersion (D) indicated aggregation of CBS-affected trees for all groves and for various quadrat sizes (2 by 2, 3 by 3, 4 by 4... up to 10 by 10). According to Ripley's K function, the dependence among symptomatic trees comprised two to three neighboring trees. Disease dispersion occurred at distances below 24.7 m according to the test for d. This suggests that the dispersion of inoculum is highly important over short distances. As a consequence, the required sample size to achieve a level of accuracy of C = 20% increases exponentially with the decrease in incidence of CBS below 15% infected plants.
C02	`01`	`X`		`@0 002A34G`
C03	`01`	`X`	`FRE`	`@0 Citrus sinensis @2 NS @5 01`
C03	`01`	`X`	`ENG`	`@0 Citrus sinensis @2 NS @5 01`
C03	`01`	`X`	`SPA`	`@0 Citrus sinensis @2 NS @5 01`
C03	`02`	`X`	`FRE`	`@0 Guignardia citricarpa @2 NS @5 02`
C03	`02`	`X`	`ENG`	`@0 Guignardia citricarpa @2 NS @5 02`
C03	`02`	`X`	`SPA`	`@0 Guignardia citricarpa @2 NS @5 02`
C03	`03`	`X`	`FRE`	`@0 Phyllosticta @2 NS @5 04`
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C03	`04`	`X`	`FRE`	`@0 Brésil @2 NG @5 05`
C03	`04`	`X`	`ENG`	`@0 Brazil @2 NG @5 05`
C03	`04`	`X`	`SPA`	`@0 Brasil @2 NG @5 05`
C03	`05`	`X`	`FRE`	`@0 Incidence @5 06`
C03	`05`	`X`	`ENG`	`@0 Incidence @5 06`
C03	`05`	`X`	`SPA`	`@0 Incidencia @5 06`
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C03	`08`	`X`	`FRE`	`@0 Agrégation @5 09`
C03	`08`	`X`	`ENG`	`@0 Aggregation @5 09`
C03	`08`	`X`	`SPA`	`@0 Agregación @5 09`
C03	`09`	`X`	`FRE`	`@0 Microbiologie @5 10`
C03	`09`	`X`	`ENG`	`@0 Microbiology @5 10`
C03	`09`	`X`	`SPA`	`@0 Microbiología @5 10`
C03	`10`	`X`	`FRE`	`@0 Phytopathologie @5 11`
C03	`10`	`X`	`ENG`	`@0 Plant pathology @5 11`
C03	`10`	`X`	`SPA`	`@0 Fitopatología @5 11`
C03	`11`	`X`	`FRE`	`@0 Phytopathogène @5 12`
C03	`11`	`X`	`ENG`	`@0 Plant pathogen @5 12`
C03	`11`	`X`	`SPA`	`@0 Fitopatógeno @5 12`
C03	`12`	`X`	`FRE`	`@0 Plante @5 45`
C03	`12`	`X`	`ENG`	`@0 Plant @5 45`
C03	`12`	`X`	`SPA`	`@0 Planta @5 45`
C07	`01`	`X`	`FRE`	`@0 Rutaceae @2 NS`
C07	`01`	`X`	`ENG`	`@0 Rutaceae @2 NS`
C07	`01`	`X`	`SPA`	`@0 Rutaceae @2 NS`
C07	`02`	`X`	`FRE`	`@0 Dicotyledones @2 NS`
C07	`02`	`X`	`ENG`	`@0 Dicotyledones @2 NS`
C07	`02`	`X`	`SPA`	`@0 Dicotyledones @2 NS`
C07	`03`	`X`	`FRE`	`@0 Angiospermae @2 NS`
C07	`03`	`X`	`ENG`	`@0 Angiospermae @2 NS`
C07	`03`	`X`	`SPA`	`@0 Angiospermae @2 NS`
C07	`04`	`X`	`FRE`	`@0 Spermatophyta @2 NS`
C07	`04`	`X`	`ENG`	`@0 Spermatophyta @2 NS`
C07	`04`	`X`	`SPA`	`@0 Spermatophyta @2 NS`
C07	`05`	`X`	`FRE`	`@0 Ascomycetes @2 NS`
C07	`05`	`X`	`ENG`	`@0 Ascomycetes @2 NS`
C07	`05`	`X`	`SPA`	`@0 Ascomycetes @2 NS`
C07	`06`	`X`	`FRE`	`@0 Fungi @2 NS`
C07	`06`	`X`	`ENG`	`@0 Fungi @2 NS`
C07	`06`	`X`	`SPA`	`@0 Fungi @2 NS`
C07	`07`	`X`	`FRE`	`@0 Thallophyta @2 NS`
C07	`07`	`X`	`ENG`	`@0 Thallophyta @2 NS`
C07	`07`	`X`	`SPA`	`@0 Thallophyta @2 NS`
C07	`08`	`X`	`FRE`	`@0 Fungi Imperfecti @2 NS`
C07	`08`	`X`	`ENG`	`@0 Fungi Imperfecti @2 NS`
C07	`08`	`X`	`SPA`	`@0 Fungi Imperfecti @2 NS`
C07	`09`	`X`	`FRE`	`@0 Amérique du Sud @2 NG`
C07	`09`	`X`	`ENG`	`@0 South America @2 NG`
C07	`09`	`X`	`SPA`	`@0 America del sur @2 NG`
C07	`10`	`X`	`FRE`	`@0 Amérique @2 NG`
C07	`10`	`X`	`ENG`	`@0 America @2 NG`
C07	`10`	`X`	`SPA`	`@0 America @2 NG`
C07	`11`	`X`	`FRE`	`@0 Agrume @5 13`
C07	`11`	`X`	`ENG`	`@0 Citrus fruit @5 13`
C07	`11`	`X`	`SPA`	`@0 Agrios @5 13`
N21				`@1 085`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

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Pascal:07-0134167

Le document en format XML

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<author><name sortKey="Ribeiro, P J Jr" sort="Ribeiro, P J Jr" uniqKey="Ribeiro P" first="P. J. Jr" last="Ribeiro">P. J. Jr Ribeiro</name>
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<author><name sortKey="Bassanezi, R B" sort="Bassanezi, R B" uniqKey="Bassanezi R" first="R. B." last="Bassanezi">R. B. Bassanezi</name>
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<term>Analyse statistique</term>
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<term>Phytopathologie</term>
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<front><div type="abstract" xml:lang="en">Citrus black spot (CBS), caused by Guignardia citricarpa, is the most important fungal disease of orange trees in Brazil. The spatial pattern of CBS-symptomatic trees was evaluated using the binomial dispersion index (D), Ripley's K function (K), and a Monte Carlo test for minimum mean distance (d) to understand the distribution of the pathogen. Disease was monitored in 7,790 citrus trees from four commercial groves. In one grove, disease incidence was assessed from 1999 to 2001 and, in the others, disease assessments were conducted only in 2002. Infected trees were aggregated based on the three statistical analyses used (D, K, and d) regardless of the CBS incidence. The binomial index of dispersion (D) indicated aggregation of CBS-affected trees for all groves and for various quadrat sizes (2 by 2, 3 by 3, 4 by 4... up to 10 by 10). According to Ripley's K function, the dependence among symptomatic trees comprised two to three neighboring trees. Disease dispersion occurred at distances below 24.7 m according to the test for d. This suggests that the dispersion of inoculum is highly important over short distances. As a consequence, the required sample size to achieve a level of accuracy of C = 20% increases exponentially with the decrease in incidence of CBS below 15% infected plants.</div>
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<fA14 i1="02"><s1>Departamento de Entomologia, Fitopatologia e Zoologia Agrícola, ESALQ-USP, C.P. 9</s1>
<s2>13418-900, Piracicaba, SP</s2>
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<fA14 i1="03"><s1>Departamento de Estatística, UFPR, C.P. 19.081, 81</s1>
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<fC01 i1="01" l="ENG"><s0>Citrus black spot (CBS), caused by Guignardia citricarpa, is the most important fungal disease of orange trees in Brazil. The spatial pattern of CBS-symptomatic trees was evaluated using the binomial dispersion index (D), Ripley's K function (K), and a Monte Carlo test for minimum mean distance (d) to understand the distribution of the pathogen. Disease was monitored in 7,790 citrus trees from four commercial groves. In one grove, disease incidence was assessed from 1999 to 2001 and, in the others, disease assessments were conducted only in 2002. Infected trees were aggregated based on the three statistical analyses used (D, K, and d) regardless of the CBS incidence. The binomial index of dispersion (D) indicated aggregation of CBS-affected trees for all groves and for various quadrat sizes (2 by 2, 3 by 3, 4 by 4... up to 10 by 10). According to Ripley's K function, the dependence among symptomatic trees comprised two to three neighboring trees. Disease dispersion occurred at distances below 24.7 m according to the test for d. This suggests that the dispersion of inoculum is highly important over short distances. As a consequence, the required sample size to achieve a level of accuracy of C = 20% increases exponentially with the decrease in incidence of CBS below 15% infected plants.</s0>
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<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Citrus sinensis</s0>
<s2>NS</s2>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Citrus sinensis</s0>
<s2>NS</s2>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Guignardia citricarpa</s0>
<s2>NS</s2>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Guignardia citricarpa</s0>
<s2>NS</s2>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Guignardia citricarpa</s0>
<s2>NS</s2>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Phyllosticta</s0>
<s2>NS</s2>
<s5>04</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Phyllosticta</s0>
<s2>NS</s2>
<s5>04</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Phyllosticta</s0>
<s2>NS</s2>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Brésil</s0>
<s2>NG</s2>
<s5>05</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Brazil</s0>
<s2>NG</s2>
<s5>05</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Brasil</s0>
<s2>NG</s2>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Incidence</s0>
<s5>06</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Incidence</s0>
<s5>06</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Incidencia</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Epidémiologie</s0>
<s5>07</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Epidemiology</s0>
<s5>07</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Epidemiología</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Analyse statistique</s0>
<s5>08</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Statistical analysis</s0>
<s5>08</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Análisis estadístico</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Agrégation</s0>
<s5>09</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Aggregation</s0>
<s5>09</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Agregación</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Microbiologie</s0>
<s5>10</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Microbiology</s0>
<s5>10</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>Microbiología</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Phytopathologie</s0>
<s5>11</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Plant pathology</s0>
<s5>11</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Fitopatología</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Phytopathogène</s0>
<s5>12</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Plant pathogen</s0>
<s5>12</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Fitopatógeno</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Plante</s0>
<s5>45</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Plant</s0>
<s5>45</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Planta</s0>
<s5>45</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Rutaceae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Rutaceae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Rutaceae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Dicotyledones</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Dicotyledones</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Dicotyledones</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="03" i2="X" l="FRE"><s0>Angiospermae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="03" i2="X" l="ENG"><s0>Angiospermae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="03" i2="X" l="SPA"><s0>Angiospermae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="04" i2="X" l="FRE"><s0>Spermatophyta</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="04" i2="X" l="ENG"><s0>Spermatophyta</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="04" i2="X" l="SPA"><s0>Spermatophyta</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="05" i2="X" l="FRE"><s0>Ascomycetes</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="05" i2="X" l="ENG"><s0>Ascomycetes</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="05" i2="X" l="SPA"><s0>Ascomycetes</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="06" i2="X" l="FRE"><s0>Fungi</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="06" i2="X" l="ENG"><s0>Fungi</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="06" i2="X" l="SPA"><s0>Fungi</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="07" i2="X" l="FRE"><s0>Thallophyta</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="07" i2="X" l="ENG"><s0>Thallophyta</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="07" i2="X" l="SPA"><s0>Thallophyta</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="08" i2="X" l="FRE"><s0>Fungi Imperfecti</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="08" i2="X" l="ENG"><s0>Fungi Imperfecti</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="08" i2="X" l="SPA"><s0>Fungi Imperfecti</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="09" i2="X" l="FRE"><s0>Amérique du Sud</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="09" i2="X" l="ENG"><s0>South America</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="09" i2="X" l="SPA"><s0>America del sur</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="10" i2="X" l="FRE"><s0>Amérique</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="10" i2="X" l="ENG"><s0>America</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="10" i2="X" l="SPA"><s0>America</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="11" i2="X" l="FRE"><s0>Agrume</s0>
<s5>13</s5>
</fC07>
<fC07 i1="11" i2="X" l="ENG"><s0>Citrus fruit</s0>
<s5>13</s5>
</fC07>
<fC07 i1="11" i2="X" l="SPA"><s0>Agrios</s0>
<s5>13</s5>
</fC07>
<fN21><s1>085</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
</record>

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   |texte=   Spatial pattern of trees affected by black spot in citrus groves in Brazil
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Spatial pattern of trees affected by black spot in citrus groves in Brazil

Spatial pattern of trees affected by black spot in citrus groves in Brazil

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Descripteurs français

English descriptors

Abstract

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