Response of Bactrocera oleae to different photoperiods and temperatures using a novel method for continuous laboratory rearing

Baratella, Valentina; Pucci, C.; Paparatti, B.; Speranza, Stefano

doi:10.1016/j.biocontrol.2017.04.010

Cited by 7 publications

(5 citation statements)

References 44 publications

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“…In total, 200 B. dorsalis (1:1.2 male: female ratio) were obtained from the Agricultural Insect Laboratory (Institute of Entomology, South China Normal University). Bactrocera dorsalis was reared in insect cages (size: 35 cm × 35 cm × 35 cm) and maintained at 29 • C with 70% relative humidity and a 14 h light: 10 h dark photo stage [31,32]. They were reared in accordance with a previous method, as follows [33]: water and feed were updated every 2 d, and the cage was replaced every 7 d for disinfestation.…”

Section: Sample Preparationmentioning

confidence: 99%

Detection and Classification of Citrus Fruit Infestation by Bactrocera dorsalis (Hendel) Using a Multi-Path Vis/NIR Spectroscopy System

Li,

Long,

Tang

et al. 2023

Agriculture

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In this study, a multi-path Vis/NIR spectroscopy system was developed to detect the presence of Bactrocera dorsalis (Hendel) infestations of citrus fruit. Spectra were acquired for 252 citrus fruit, 126 of which were infested. Two hundred and fifty-two spectra were acquired for modeling in their un-infested stage, slightly infested stage, and seriously infested stage. The location of the infestation is unclear, and considering the impact of the light path on the location of the infestation, each citrus fruit was tested in three orientations (i.e., fruit stalks facing upward (A), fruit stalks facing horizontally (B), and fruit stalks facing downward (C)). Classification models based on joint X-Y distance, multiple transmittance calibration, competitive adaptive reweighted sampling, and partial least squares discriminant analysis (SPXY-MSC-CARS-PLS-DA) were developed on the spectra of each light path, and the average spectra of the four light paths was calculated, to compare their performance in infestation classification. The results show the classification result changed with the light path and fruit orientation. The average spectra for each fruit orientation consistently gave better classification results, with overall accuracies of 92.9%, 89.3%, and 90.5% for orientations A, B, and C, respectively. Moreover, the best model had a Kappa value of 0.89, and gave 95.2%, 80.1%, and 100.0% accuracy for un-infested, slightly infested, and seriously infested citrus fruit. Furthermore, the classification results for infested citrus fruits were better when using the average spectra than using the spectrum of each single light path. Therefore, the multi-path Vis/NIR spectroscopy system is conducive to the detection of B. dorsalis infestation in citrus fruits.

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Section: Sample Preparationmentioning

confidence: 99%

Detection and Classification of Citrus Fruit Infestation by Bactrocera dorsalis (Hendel) Using a Multi-Path Vis/NIR Spectroscopy System

Li,

Long,

Tang

et al. 2023

Agriculture

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“…On the other hand, the following most contributing variable to the model prediction was the mean diurnal range of temperature. Almost all ecophysiological parameters of B. oleae are strongly affected by temperature (Baratella, Pucci, Paparatti, & Speranza, 2017;Ordano et al, 2015;Pappas, Broufas, Koufali, Pieri, & Koveos, 2011;Wang, Johnson, Daane, & Nadel, 2009). For example, our model predicted a strong decrease in the climatic suitability for B. oleae at a mean diurnal range higher than 10 C and an optimal for the mean temperature of coldest month at 4.5 C. Marchi, Guidotti, Ricciolini, and Petacchi (2016) In conclusion, the spread of the occurrence (actual or potential) of B. oleae, the amount of areas with predicted climatic suitability higher than 0.5, and the extension of olive crop areas in the Iberian Peninsula make this region an excellent geographical area to investigate the processes involved in the potential dispersion/colonisation of B. oleae.…”

Section: Species Distribution Modellingmentioning

confidence: 99%

Distribution of Bactrocera oleae (Rossi, 1790) throughout the Iberian Peninsula based on a maximum entropy modelling approach

Benhadi‐Marín

Santos

Baptista

et al. 2020

Annals of Applied Biology

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The Iberian Peninsula (Portugal and Spain) is a great production area of olives. The fruit production can be severely affected by the olive fruit fly, Bactrocera oleae (Rossi, 1790) (Diptera). Detailed geographical distribution maps of key pests, such as B. oleae, are essential for their integrated management. Although different sources reporting the occurrence of B. oleae are available for sub-regions of Portugal and Spain, the data available are dispersed and centralisation of this information considering the Iberian Peninsula as a faunistic geographical unit is currently lacking. In this work, we built two distribution maps of B. oleae throughout the Iberian Peninsula, one based on occurrence sites and another based on its bioclimatic habitat suitability. After modelling the bioclimatic suitability of B. oleae using a maximum entropy model, three potential distribution areas beyond the previously known occurrence range of the olive fruit fly were identified corresponding to the autonomous community of Galicia (Spain), the Spanish and Portuguese sides of the International Douro Natural Park, and the autonomous community of Castilla y León (Spain). Interestingly, each region houses nowadays autochthonous olive cultivars. The drivers that most contributed to the model were the precipitation of the coldest quarter and the precipitation of driest month which agrees with the B. oleae bioecology. Although our approach is not fully-comprehensive in terms of occurrence sites, we show how a maxent modelling approach can be useful to identify potential risk areas of B. oleae occurrence throughout a target geographical extent such as the Iberian Peninsula.

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“…Since the first success rearing reports in the 70’s (e.g., [132,133,134]), our understanding of the biology of the olive fruit fly has greatly increased. Optimizations to rearing protocols have been proposed [135,136,137] as the interest in renewed approaches for population management increases. Estes and co-workers [138] review and discuss the difficulties, improvements and future directions of B. oleae mass-rearing, and the role of the symbiotic microorganisms in successful rearing programs is now acknowledge (e.g., [135,139]).…”

Section: Symbiosis-based Olive Fruit Fly Controlmentioning

confidence: 99%

Symbiosis in Sustainable Agriculture: Can Olive Fruit Fly Bacterial Microbiome Be Useful in Pest Management?

Nobre¹

2019

Microorganisms

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The applied importance of symbiosis has been gaining recognition. The relevance of symbiosis has been increasing in agriculture, in developing sustainable practices, including pest management. Insect symbiotic microorganisms’ taxonomical and functional diversity is high, and so is the potential of manipulation of these microbial partners in suppressing pest populations. These strategies, which rely on functional organisms inhabiting the insect, are intrinsically less susceptible to external environmental variations and hence likely to overcome some of the challenges posed by climate change. Rates of climate change in the Mediterranean Basin are expected to exceed global trends for most variables, and this warming will also affect olive production and impact the interactions of olives and their main pest, the obligate olive fruit fly (Bactrocera oleae). This work summarizes the current knowledge on olive fly symbiotic bacteria towards the potential development of symbiosis-based strategies for olive fruit fly control. Particular emphasis is given to Candidatus Erwinia dacicola, an obligate, vertically transmitted endosymbiont that allows the insect to cope with the olive-plant produced defensive compound oleuropein, as a most promising target for a symbiosis disruption approach.

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Response of Bactrocera oleae to different photoperiods and temperatures using a novel method for continuous laboratory rearing

Cited by 7 publications

References 44 publications

Detection and Classification of Citrus Fruit Infestation by Bactrocera dorsalis (Hendel) Using a Multi-Path Vis/NIR Spectroscopy System

Detection and Classification of Citrus Fruit Infestation by Bactrocera dorsalis (Hendel) Using a Multi-Path Vis/NIR Spectroscopy System

Distribution of Bactrocera oleae (Rossi, 1790) throughout the Iberian Peninsula based on a maximum entropy modelling approach

Symbiosis in Sustainable Agriculture: Can Olive Fruit Fly Bacterial Microbiome Be Useful in Pest Management?

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