2003
DOI: 10.1590/s0100-41582003000600009
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Comportamento sazonal da clorose variegada dos citros em três regiões do Estado de São Paulo

Abstract: Caracterizou-se a evolução de variáveis relacionadas à clorose variegada dos citros em plantas de três regiões do Estado de São Paulo (Noroeste, Centro e Sul), visando determinar diferenças no padrão sazonal do patógeno, dos vetores, do hospedeiro e da doença. Foram avaliadas mensalmente 20 plantas sintomáticas em talhões de laranja (Citrus sinensis) 'Pêra' enxertada em limão (Citrus limonia) 'Cravo', em três regiões do Estado de São Paulo, no período de dezembro de 1998 a dezembro de 2000, utilizando-se as se… Show more

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Cited by 9 publications
(9 citation statements)
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“…The acyl-homoserine lactones (acyl-HSLs) produced by Methylobacterium mesophilicum isolated from orange trees infected with the citrus variegated chlorosis (CVC) disease have been studied, revealing the occurrence of six longchain acyl-HSLs, i.e., the saturated homologues (S)-N-dodecanoyl (1) and (S)-N-tetradecanoyl-HSL (5), the uncommon odd-chain N-tridecanoyl-HSL (3), the new natural product (S)-N-(2E)-dodecenoyl-HSL (2), and the rare unsaturated homologues (S)-N-(7Z)-tetradecenoyl ( 4) and (S)-N-(2E,7Z)-tetradecadienyl-HSL (6). The absolute configurations of all HSLs were determined as 3S.…”
mentioning
confidence: 99%
“…The acyl-homoserine lactones (acyl-HSLs) produced by Methylobacterium mesophilicum isolated from orange trees infected with the citrus variegated chlorosis (CVC) disease have been studied, revealing the occurrence of six longchain acyl-HSLs, i.e., the saturated homologues (S)-N-dodecanoyl (1) and (S)-N-tetradecanoyl-HSL (5), the uncommon odd-chain N-tridecanoyl-HSL (3), the new natural product (S)-N-(2E)-dodecenoyl-HSL (2), and the rare unsaturated homologues (S)-N-(7Z)-tetradecenoyl ( 4) and (S)-N-(2E,7Z)-tetradecadienyl-HSL (6). The absolute configurations of all HSLs were determined as 3S.…”
mentioning
confidence: 99%
“…Although work on plants is not subject to the ethical concerns that hamper experimentation targeting pathogens of animal or human hosts, mathematical modelling nevertheless becomes particularly compelling for plant diseases when logistic constraints mean that experimentation would be costly or difficult. This situation is exemplified by diseases caused by pathogens with epidemiology necessitating long experiments to yield useful data [11] [13] , pathogens causing symptoms that are difficult to detect [14] , [15] , pathogens with epidemiology that is ill-understood [16] , [17] , and/or pathogens that would require experimental trials in the vicinity of susceptible commercial growing operations [18] , [19] .…”
Section: Introductionmentioning
confidence: 99%
“…Tais fatos indicam que existe relação entre o período de incubação e o desenvolvimento das plantas em condições de campo, o que, conseqüentemente, interfere no aparecimento de sintomas (Palazzo & Carvalho, 1992;Laranjeira et al, 2003). Além disso, o verão é a estação do ano em que a população de cigarrinhas se mostra mais numerosa (Lopes, 1999).…”
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