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resumen

Resumen
Cladode brown spot (CBS) is an important disease of prickly pear cactus (Nopalea cochenillifera) in Brazil. No standard method exists for sampling in the field. A study was conducted in 30 fields of prickly pear (cv. Miúda) in Pernambuco state, Brazil, to determine the optimal sample size to assess severity of CBS. In each field, a 0.3 ha (45 × 68 m) test area consisting of 30 rows and 45 plants per row (1350 plants per test area) was arbitrarily chosen. [ver mas...]
dc.contributor.authorGarcete-Gómez, José María
dc.contributor.authorConforto, Erica Cinthia
dc.contributor.authorDomínguez-Monge, Santiago
dc.contributor.authorFlores-Sánchez, Jorge Luis
dc.contributor.authorMora-Aguilera, Gustavo
dc.contributor.authorMichereff, Sami Jorge
dc.date.accessioned2021-07-12T17:24:12Z
dc.date.available2021-07-12T17:24:12Z
dc.date.issued2017-03-15
dc.identifier.issn0929-1873
dc.identifier.issn1573-8469 (online)
dc.identifier.otherhttps://doi.org/10.1007/s10658-017-1213-x
dc.identifier.urihttp://hdl.handle.net/20.500.12123/9787
dc.identifier.urihttps://link.springer.com/article/10.1007/s10658-017-1213-x
dc.description.abstractCladode brown spot (CBS) is an important disease of prickly pear cactus (Nopalea cochenillifera) in Brazil. No standard method exists for sampling in the field. A study was conducted in 30 fields of prickly pear (cv. Miúda) in Pernambuco state, Brazil, to determine the optimal sample size to assess severity of CBS. In each field, a 0.3 ha (45 × 68 m) test area consisting of 30 rows and 45 plants per row (1350 plants per test area) was arbitrarily chosen. In each test area, 50 plants were sampled using a systematic method and the disease severity was assessed with the aid of a standard area diagram set on 2, 4 and 6 cladodes/plant. The spatial pattern of the disease was examined by spatial autocorrelation analysis and the optimal sample sizes were determined based on three levels of error (5, 10 and 20%). CBS severity in the fields ranged from 0.4 to 8.7%. In 15 fields the disease severity of CBS was >4.0% and in 20 fields the spatial pattern of CBS was aggregated. There was a positive correlation (r = 0.59, P = 0.0001) between disease severity and strength of aggregation, and a negative correlation (r = −0.39; P = 0.0001) between disease severity and sample size (number of plants). There was no significant effect (P = 0.3) of the number of cladodes assessed per plant (2, 4 or 6 cladodes) on sample size. Considering a sample of two cladodes per plant and an acceptable error of 5, 10 or 20%, the optimal sample size was 253, 63 and 16 plants, respectively, for each 0.3 ha of cultivated field.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSpringeres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceEuropean Journal of Plant Pathology 149 : 759-763 (2017)es_AR
dc.subjectEpidemiologyeng
dc.subjectSamplingeng
dc.subjectCladodeseng
dc.subjectOpuntiaes_AR
dc.subjectEpidemiología
dc.subjectMuestreo
dc.subjectCladodios
dc.subject.otherNopalea Cochenilliferaes_AR
dc.subject.otherPrickly Peareng
dc.titleSample size for assessment of cladode brown spot in prickly pear cactuses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenInstituto de Patología Vegetales_AR
dc.description.filFil: Garcete-Gómez, José María. Universidade Federal Rural de Pernambuco. Departamento de Agronomia; Brasiles_AR
dc.description.filFil: Conforto, Erica Cinthia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentinaes_AR
dc.description.filFil: Domínguez-Monge, Santiago. Instituto de Fitosanidad. Colegio de Postgraduados. Fitopatología; Méxicoes_AR
dc.description.filFil: Flores-Sánchez, Jorge Luis. Instituto de Fitosanidad. Colegio de Postgraduados. Fitopatología; Méxicoes_AR
dc.description.filFil: Mora-Aguilera, Gustavo. Instituto de Fitosanidad. Colegio de Postgraduados. Fitopatología; Méxicoes_AR
dc.description.filFil: Michereff, Sami Jorge. Universidade Federal Rural de Pernambuco. Departamento de Agronomia; Brasiles_AR
dc.subtypecientifico


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