métodos para predição de bitter pit em maçãs 'fuji' e 'braeburn' methods for bitter pit prediction in fuji and braeburn apples
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ID: 156475
2009
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Abstract
Experimentos foram conduzidos com objetivo de avaliar a eficiência de métodos para predição da ocorrência de bitter pit em maçãs 'Fuji' e 'Braeburn' em duas épocas de amostragem. Os frutos, provenientes de seis pomares distintos, três para cada cultivar, foram coletados antecipadamente (20 dias em relação à colheita) e na data prevista para a colheita comercial. Os métodos de predição utilizados foram: a) infiltração dos frutos com solução 0,10M MgCl2 mais 0,01% Tween-20 e 0,4M de sorbitol; b) imersão dos frutos em solução com 2500nL L-1 de ethephon mais 0,01% Tween-20. Os frutos foram armazenados em atmosfera controlada (AC) por cinco meses mais 12 dias, a 20°C, simulando a incidência real de bitter pit em armazenamento comercial. Cada tratamento foi constituído por quatro repetições de 25 frutos. A incidência e severidade de bitter pit, prevista por ambos os métodos foi semelhante à ocorrência real de bitter pit após o armazenamento em atmosfera controlada para cada uma das cultivares utilizadas, quando os frutos foram amostrados antecipadamente em relação à colheita comercial. Na avaliação realizada com frutos amostrados na colheita comercial, nenhum dos métodos foi capaz de prever a incidência de bitter pit após o armazenamento de maneira confiável. Para ambas as cultivares, a infiltração com magnésio e a imersão dos frutos em ethephon só são eficientes na predição da incidência de bitter pit em frutos coletados 20 dias antes da colheita comercial.
Experiments were carried out with objective to evaluate the efficiency of methods for bitter pit prediction in 'Fuji' and 'Braeburn' apples sampled at two harvest dates. Fruits from 6 orchards, three for each cultivar, were sampled earlier (20 days before harvest) and at commercial harvest date. The prediction methods assessed were: infiltration of apples with 0.10M MgCl2 solution containing 0.01% Tween-20 and 0.4M sorbitol; and immersion of fruits in 2.500nL L-1 ethephon solution plus 0.01% Tween-20. Four replications of 25 fruits of each orchard were stored on controlled atmosphere (CA) during five months plus 12 days at 20°C in order to assess the real bitter pit occurrence. Both methods showed incidence and severity similar to real bitter pit occurrence after storage for both cultivars sampled 20 days before harvest. On the other hand, none method was able to predict the incidence of bitter pit after CA storage for fruits sampled at commercial harvest. The magnesium infiltration and immersion of fruits on ethephon only are efficient to predict bitter pit incidence on fruits when sampled 20 days before commercial harvest.
Experiments were carried out with objective to evaluate the efficiency of methods for bitter pit prediction in 'Fuji' and 'Braeburn' apples sampled at two harvest dates. Fruits from 6 orchards, three for each cultivar, were sampled earlier (20 days before harvest) and at commercial harvest date. The prediction methods assessed were: infiltration of apples with 0.10M MgCl2 solution containing 0.01% Tween-20 and 0.4M sorbitol; and immersion of fruits in 2.500nL L-1 ethephon solution plus 0.01% Tween-20. Four replications of 25 fruits of each orchard were stored on controlled atmosphere (CA) during five months plus 12 days at 20°C in order to assess the real bitter pit occurrence. Both methods showed incidence and severity similar to real bitter pit occurrence after storage for both cultivars sampled 20 days before harvest. On the other hand, none method was able to predict the incidence of bitter pit after CA storage for fruits sampled at commercial harvest. The magnesium infiltration and immersion of fruits on ethephon only are efficient to predict bitter pit incidence on fruits when sampled 20 days before commercial harvest.
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sestari2009cinciamtodos
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| Authors | ;Ivan Sestari;Daniel Alexandre Neuwald;Ricardo Fabiano Hettwer Giehl;Anderson Weber;Auri Brackmann |
| Journal | Trials |
| Year | 2009 |
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| Keywords | Keywords not found |
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