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Evaluation of olive flowering at low latitutde sites in Argentina using a chilling requirement model
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Orientador(es)
Resumo(s)
Olive production has expanded significantly from the Mediterranean Basin into the New World over the last two decades. In
some cases, cultivars of European origin have been introduced at a large commercial scale with little previous evaluation of potential
productivity. The objective of this study was to evaluate whether a temperature-driven simulation model developed in the
Mediterranean Basin to predict normal flowering occurrence and flowering date using cultivar-specific thermal requirements was
suitable for the low latitude areas of Northwest Argentina. The model was validated at eight sites over several years and a wide
elevation range (350-1200 m above mean sea level) for three cultivars (‘Arbequina’, ‘Frantoio’, ‘Leccino’) with potentially different
chilling requirements. In ‘Arbequina’, normal flowering was observed at almost all sites and in all years, while normal flowering
events in ‘Frantoio’ and ‘Leccino’ were uncommon. The model successfully predicted if flowering would be normal in 92% and
83% of the cases in ‘Arbequina’ and ‘Frantoio’, respectively, but was somewhat less successful in ‘Leccino’ (61%). When flowering
occurred, the predicted flowering date was within ± 7 days of the observed date in 71% of the cases. Overall, the model results
indicate that cultivar-specific simulation models may be used as an approximate tool to predict whether individual cultivars will be
successful in new growing areas. In Northwest Argentina, the model could be used to identify cultivars to replace ‘Frantoio’ and
‘Leccino’ and to simulate global warming scenarios
Descrição
Research Article
Palavras-chave
Olea europaea chilling units dormancy temperature thermal time
Contexto Educativo
Citação
Aybar, V. E.; De Melo-Abreu, J. P.; Searles, P. S.; Matias, A. C.; Del Río, C.; Caballero, J. M.; Rousseaux, M. C. (2015). Evaluation of olive flowering at low latitude sites in Argentina using a chilling requirement model. Spanish Journal of Agricultural Research, Volume 13, Issue 1, e09-001, 10 pages
Editora
INIA