2014
DOI: 10.1017/s0007485314000339
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Male flight phenology of the European grapevine moth Lobesia botrana (Lepidoptera: Tortricidae) in different wine-growing regions in Spain

Abstract: Lobesia botrana is the most significant pest of grape berries in Spain. Further knowledge of its phenology would enable wine growers to decide on an optimal treatment schedule. The aim of this study is, therefore, to predict the flight peaks of L. botrana in seven wine-growing regions of Spain. The main goal is to provide a prediction model based on meteorological data records. A logistic function model, based on temperature and humidity records, together with an exhaustive statistical analysis, were used to c… Show more

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Cited by 13 publications
(4 citation statements)
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“…Several models have already been developed to predict LB phenology. Some of them are based on the strong relationship between temperature accumulation (degree day (DD)) and pheromone trap catches of adult males (Milonas et al, 2001;Ortega-Lopez et al, 2014;Carlos et al, 2018). Other authors have incorporated additional atmospheric variables (abiotic factors) in their models, such as precipitation, relative humidity or wind speed, as well as biotic factors, namely fecundity and mortality among others (Gutierrez et al, 2012;Gilioli et al, 2016;Castex et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Several models have already been developed to predict LB phenology. Some of them are based on the strong relationship between temperature accumulation (degree day (DD)) and pheromone trap catches of adult males (Milonas et al, 2001;Ortega-Lopez et al, 2014;Carlos et al, 2018). Other authors have incorporated additional atmospheric variables (abiotic factors) in their models, such as precipitation, relative humidity or wind speed, as well as biotic factors, namely fecundity and mortality among others (Gutierrez et al, 2012;Gilioli et al, 2016;Castex et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…To predict the evolution of the LB phenology, some models have already been developed. Some of these are based on the relationship between the accumulation of degree-days and the capture of adult males in traps [16][17][18]. Other authors have introduced other specific abiotic factors in their models, such as precipitation, relative humidity, and wind speed.…”
Section: Introductionmentioning
confidence: 99%
“…These findings suggest that such dissimilarities in phenology may be related to biotic, abiotic, or both factors (Day, 1984; Eizaguirre et al ., 2002; Jang et al ., 2009; Garibaldi et al ., 2011; Ortega-López et al ., 2014; Doherty et al ., 2017), and will depend on the pest species. Yet, there are many other factors that can also influence the moth population variation measured in this study, for instance the presence and abundance of predators, parasitoids, and pathogens (Wolda, 1988; Kishimoto-Yamada & Itioka, 2015).…”
Section: Discussionmentioning
confidence: 99%