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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
25/10/2017 |
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Data da última atualização: |
28/03/2018 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
HECK, D. W.; RODRIGUEZ, M. A. D.; DEL PONTE, E. M.; MIZUBUTI, E. S. G. |
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Afiliação: |
D. W. HECK, UFV; MIGUEL ANGEL DITA RODRIGUEZ, CNPMF; E. M. DEL PONTE, UFV; E. S. G. MIZUBUTI, UFV. |
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Título: |
Spatial pattern analysis of Fusarium wilt of banana in Brazil. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Fitosanidad, Havana, v. 21, n. especial, 2017. Edição dos resumos do VIII Seminario Científico Internacional de Sanidad Vegetal, Havana, 2017. Por la transición de la agricultura cubana hacia la sostenibilidad. Ref. Foc-10. p. 28-29. |
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Idioma: |
Português |
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Conteúdo: |
Understanding plant disease epidemics is key to establish efficient management strategies. Several factors can affect epidemic patterns of Fusarium wilt (FW) of banana in the field, but little is known about temporal and spatial patterns of this disease worldwide. This work aimed to assess the incidence and the spatial pattern of FW of banana in four production regions in Brazil. Seventeen fields planted with ?Silk? or ?Prata? were evaluated. In each field, all plants were visually assessed and diseased plants were geo-referenced. Incidence maps were constructed based on geo-referenced data. A quadrat-based, using three sizes of quadrats, and a point-process distance-based methods were used to detect spatial patterns. The null hypothesis of complete spatial randomness (CSR) for the quadrat data was tested using a Pearson ?2 statistics. For the point-process data, the Kolmogorov-Smirnov (KS) test was used to compare the observed and expected distributions. Finally, the L-function was used to test for deviations from randomness. FW incidence ranged from 2.1 to 38.5%. ?Prata? showed lower incidence values (average 8.9%), than ?Silk? (average 17.2%). CRS was rejected for all fields when using the largest quadrat size, suggesting aggregation. CRS was not rejected for four ?Silk? fields and one ?Prata? field when using the smallest quadrat size. The K-S test did not reject CSR for two ?Silk? fields. The L-function suggested aggregated patterns for most of the fields. There was greater spatial dependence in ?Prata? than in ?Silk?. Factors putatively influencing the reported spatial patterns are further discussed. MenosUnderstanding plant disease epidemics is key to establish efficient management strategies. Several factors can affect epidemic patterns of Fusarium wilt (FW) of banana in the field, but little is known about temporal and spatial patterns of this disease worldwide. This work aimed to assess the incidence and the spatial pattern of FW of banana in four production regions in Brazil. Seventeen fields planted with ?Silk? or ?Prata? were evaluated. In each field, all plants were visually assessed and diseased plants were geo-referenced. Incidence maps were constructed based on geo-referenced data. A quadrat-based, using three sizes of quadrats, and a point-process distance-based methods were used to detect spatial patterns. The null hypothesis of complete spatial randomness (CSR) for the quadrat data was tested using a Pearson ?2 statistics. For the point-process data, the Kolmogorov-Smirnov (KS) test was used to compare the observed and expected distributions. Finally, the L-function was used to test for deviations from randomness. FW incidence ranged from 2.1 to 38.5%. ?Prata? showed lower incidence values (average 8.9%), than ?Silk? (average 17.2%). CRS was rejected for all fields when using the largest quadrat size, suggesting aggregation. CRS was not rejected for four ?Silk? fields and one ?Prata? field when using the smallest quadrat size. The K-S test did not reject CSR for two ?Silk? fields. The L-function suggested aggregated patterns for most of the fields. There was gre... Mostrar Tudo |
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Palavras-Chave: |
Fusarium oxysporum f sp cubense; Panama disease. |
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Thesagro: |
Banana. |
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Thesaurus Nal: |
epidemiology. |
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Categoria do assunto: |
H Saúde e Patologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/165519/1/RA-DitaMA-INISAV2017-Spatial...-p28-29-Foc-10.pdf
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Marc: |
LEADER 02397nam a2200193 a 4500
001 2078111
005 2018-03-28
008 2017 bl uuuu u00u1 u #d
100 1 $aHECK, D. W.
245 $aSpatial pattern analysis of Fusarium wilt of banana in Brazil.$h[electronic resource]
260 $aFitosanidad, Havana, v. 21, n. especial, 2017. Edição dos resumos do VIII Seminario Científico Internacional de Sanidad Vegetal, Havana, 2017. Por la transición de la agricultura cubana hacia la sostenibilidad. Ref. Foc-10. p. 28-29.$c2017
520 $aUnderstanding plant disease epidemics is key to establish efficient management strategies. Several factors can affect epidemic patterns of Fusarium wilt (FW) of banana in the field, but little is known about temporal and spatial patterns of this disease worldwide. This work aimed to assess the incidence and the spatial pattern of FW of banana in four production regions in Brazil. Seventeen fields planted with ?Silk? or ?Prata? were evaluated. In each field, all plants were visually assessed and diseased plants were geo-referenced. Incidence maps were constructed based on geo-referenced data. A quadrat-based, using three sizes of quadrats, and a point-process distance-based methods were used to detect spatial patterns. The null hypothesis of complete spatial randomness (CSR) for the quadrat data was tested using a Pearson ?2 statistics. For the point-process data, the Kolmogorov-Smirnov (KS) test was used to compare the observed and expected distributions. Finally, the L-function was used to test for deviations from randomness. FW incidence ranged from 2.1 to 38.5%. ?Prata? showed lower incidence values (average 8.9%), than ?Silk? (average 17.2%). CRS was rejected for all fields when using the largest quadrat size, suggesting aggregation. CRS was not rejected for four ?Silk? fields and one ?Prata? field when using the smallest quadrat size. The K-S test did not reject CSR for two ?Silk? fields. The L-function suggested aggregated patterns for most of the fields. There was greater spatial dependence in ?Prata? than in ?Silk?. Factors putatively influencing the reported spatial patterns are further discussed.
650 $aepidemiology
650 $aBanana
653 $aFusarium oxysporum f sp cubense
653 $aPanama disease
700 1 $aRODRIGUEZ, M. A. D.
700 1 $aDEL PONTE, E. M.
700 1 $aMIZUBUTI, E. S. G.
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Embrapa Meio Ambiente (CNPMA) |
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| 1. |  | HECK, D. W.; RODRIGUEZ, M. A. D.; DEL PONTE, E. M.; MIZUBUTI, E. S. G. Spatial pattern analysis of Fusarium wilt of banana in Brazil. Fitosanidad, Havana, v. 21, n. especial, 2017. Edição dos resumos do VIII Seminario Científico Internacional de Sanidad Vegetal, Havana, 2017. Por la transición de la agricultura cubana hacia la sostenibilidad. Ref. Foc-10. p. 28-29.| Tipo: Resumo em Anais de Congresso |
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