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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
25/10/2012 |
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Data da última atualização: |
25/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
GONÇALVES, F. P.; STUCHI, E. S.; LOURENÇO, S. A.; HAU, B.; AMORIM, L. |
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Afiliação: |
FABRÍCIO PACKER GONÇALVES, ESALQ; EDUARDO SANCHES STUCHI, CNPMF; SILVIA AFONSECA LOURENÇO, ESALQ; BERNHARD HAU, Leibniz Universitat Hannover; LILIAN AMORIM, ESALQ. |
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Título: |
Relationship between sweet orange yield and intensity of Citrus Variegated Chlorosis. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Plant Pathology, v. 61, p. 641-647, 2012. |
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ISSN: |
1365-3059 |
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Idioma: |
Inglês |
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Conteúdo: |
Citrus Variegated Chlorosis (CVC) is currently present in approximately 40% of citrus plants in Brazil and causes an annual loss of around 120 million US dollars to the Brazilian citrus industry. Despite the fact that CVC has been present in Brazil for over 20 years, a relationship between disease intensity and yield loss has not been established. In order to achieve this, an experiment was carried out in a randomized block design in a 3 · 2 factorial scheme with 10-year-old Natal sweet orange. The following treatments were applied: irrigation with 0, 50 or 100% of the evapotranspiration of the crop, combined with natural infection or artificial inoculation with Xylella fastidiosa, the causal agent of CVC. The experiment was evaluated during three seasons. A negative exponential model was fitted to the relationships between yield versus CVC severity and yield versus Area Under Disease Progress Curve (AUDPC). In addition, the relationship between yield versus CVC severity and canopy volume was fitted by a multivariate exponential model. The use of the AUDPC variable showed practical limitations when compared with the variable CVC severity. The parameter values in the relationship of yield?CVC severity were similar for all treatments unlike in the multivariate model. Consequently, the yield?CVC intensity relationship (with 432 data points) could be described by one single model: y = 114Æ07 exp()0Æ017 x), where y is yield (symptomless fruit weight in kg) and x is disease severity (R2 = 0Æ45; P < 0Æ01). MenosCitrus Variegated Chlorosis (CVC) is currently present in approximately 40% of citrus plants in Brazil and causes an annual loss of around 120 million US dollars to the Brazilian citrus industry. Despite the fact that CVC has been present in Brazil for over 20 years, a relationship between disease intensity and yield loss has not been established. In order to achieve this, an experiment was carried out in a randomized block design in a 3 · 2 factorial scheme with 10-year-old Natal sweet orange. The following treatments were applied: irrigation with 0, 50 or 100% of the evapotranspiration of the crop, combined with natural infection or artificial inoculation with Xylella fastidiosa, the causal agent of CVC. The experiment was evaluated during three seasons. A negative exponential model was fitted to the relationships between yield versus CVC severity and yield versus Area Under Disease Progress Curve (AUDPC). In addition, the relationship between yield versus CVC severity and canopy volume was fitted by a multivariate exponential model. The use of the AUDPC variable showed practical limitations when compared with the variable CVC severity. The parameter values in the relationship of yield?CVC severity were similar for all treatments unlike in the multivariate model. Consequently, the yield?CVC intensity relationship (with 432 data points) could be described by one single model: y = 114Æ07 exp()0Æ017 x), where y is yield (symptomless fruit weight in kg) and x is disease severi... Mostrar Tudo |
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Palavras-Chave: |
Crop loss models; Quantitative epidemiology. |
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Thesagro: |
Xylella Fastidiosa. |
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Thesaurus NAL: |
Citrus. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02181naa a2200229 a 4500
001 1938128
005 2023-05-25
008 2012 bl uuuu u00u1 u #d
022 $a1365-3059
100 1 $aGONÇALVES, F. P.
245 $aRelationship between sweet orange yield and intensity of Citrus Variegated Chlorosis.$h[electronic resource]
260 $c2012
520 $aCitrus Variegated Chlorosis (CVC) is currently present in approximately 40% of citrus plants in Brazil and causes an annual loss of around 120 million US dollars to the Brazilian citrus industry. Despite the fact that CVC has been present in Brazil for over 20 years, a relationship between disease intensity and yield loss has not been established. In order to achieve this, an experiment was carried out in a randomized block design in a 3 · 2 factorial scheme with 10-year-old Natal sweet orange. The following treatments were applied: irrigation with 0, 50 or 100% of the evapotranspiration of the crop, combined with natural infection or artificial inoculation with Xylella fastidiosa, the causal agent of CVC. The experiment was evaluated during three seasons. A negative exponential model was fitted to the relationships between yield versus CVC severity and yield versus Area Under Disease Progress Curve (AUDPC). In addition, the relationship between yield versus CVC severity and canopy volume was fitted by a multivariate exponential model. The use of the AUDPC variable showed practical limitations when compared with the variable CVC severity. The parameter values in the relationship of yield?CVC severity were similar for all treatments unlike in the multivariate model. Consequently, the yield?CVC intensity relationship (with 432 data points) could be described by one single model: y = 114Æ07 exp()0Æ017 x), where y is yield (symptomless fruit weight in kg) and x is disease severity (R2 = 0Æ45; P < 0Æ01).
650 $aCitrus
650 $aXylella Fastidiosa
653 $aCrop loss models
653 $aQuantitative epidemiology
700 1 $aSTUCHI, E. S.
700 1 $aLOURENÇO, S. A.
700 1 $aHAU, B.
700 1 $aAMORIM, L.
773 $tPlant Pathology$gv. 61, p. 641-647, 2012.
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